SlideShare una empresa de Scribd logo
1 de 35
Descargar para leer sin conexión
INTRODUCTION AND APPLICATION OF
BHUVAN
M.Tech 1st Year, Department of Geography,
University of Madras
Presented by:
Khushboo
Prathiban K
Vignesh T
Sugashri
1
INTRODUCTION
• Geoportal of ISRO
• Introduced in 2009
• Open platform
• Only governmental platform – operational in public domain
• PAN-India coverage
• One of the largest repository of GIS map and services in the country
• 6000 services approx. – offered
• Simple display of satellite images – 5m
• Transitions from national to village level depiction
2
• Image resolution now – 1m
• Hydrological base – basins
to watershed
• Transport network – NH to city roads
• 3.5 million location based information – crowd sourcing mechanism
• Digital surface model – entire country – depiction of topography
3
• Designed to run on slow internet connections
• Satellites – Resourcesat – 1, Cartosat – 1, Cartosat – 2
• Bhuvan 2D and 3D
• Available in 4 languages – English, Hindi, Tamil and Telegu
• Satellite images – almost 350 cities in the
country – 1 m resolution
• Large coverage – majorly Rajasthan, Gujarat and Madhya Pradesh
• Future – 1m for entire country.
• Do not include any military installations – security concerns
4
OVERVIEW
• 22 ministries have integrated to
Bhuvan – e-governance program
• Many departments – linked web
portals to Bhuvan – online services
• IMD – Thunderstorm and Fog alerts
• Disaster support – Cyclones,
Floods, Landslides, Earthquakes, Forest Fire,
Drought – Preparedness and Response
• Rain induced landslide forewarning system
5
BHUVAN 2D
• Provide – Map View, Satellite View and hybrid
• Terrain view
• Census 2011 information – integrated at village
level – easy analysis
• 2.5D visualization model
• Visualization of ISRO Automatic Weather
Stations – current data
• Online shapefile creation utility
6
• Visualization of Ocean Services
• Special display of crowd sourced data – collected by
various users and public.
• Map view – administrative and
hydrological base
7
BHUVAN 3D
• 3 dimensional representation of objects
• Multi sensor, Multi platform, Multi temporal
data with height information.
• 2 possibilities of 3D – with Plug-in and without
plugin
• Facilitates recording options – capture events
on globe and play back.
8
CONTENTS & APPLICATION
9
Satellite Base Layers
• 2.5m Color for Entire India
• 1m Color for Indian Cities
• AWiFS Layers (Advanced Wide Field Sensor – 50m)
• LISS-3 Layers (25 m)
• LISS-4 Multi spectral Layers (2.5 m)
Vector Base Layers
• Administrative layers
• Infrastructure layers
• Major Water bodies
10
Thematic Layers
• Land Use / Land Cover 250K to 10k
• Urban land use 10K (NUIS)
• Wasteland 50K (2008-09)
• Glacial Lakes  Water bodies
• Geomorphology 50K (2005-06)
• Lineament 50K
• Flood hazard layer and Flood annual layers
• Erosion 50K (2005-06)
• Salt affected and water logging 50K (2005-06)
• Urban sprawl
11
Free Data Download
• AWiFS - Ortho-rectified satellite images
• LISS-3 – Ortho-rectified satellite images (25 m resolution)
• DEM – CartoDEM at 30m resolution
• HySI–Hyper-spectral for Pan India
Ocean & Atmospheric Layers
• Ocean Color Monitor Sensor (OCM)-NDVI- Global and Local
• Coverage, Vegetation
• Ocean – Heat Content, TCHP (Tropical Cyclone Heat Potential)
• Ocean Wind – Stress, Curl, Velocity
12
SATELLITE LAYERS
AVAILABLE IN BHUVAN – WMS (Web Map Service)
13
High Resolution Images – 2.5m Color
2.5m coverage and State mosaic
• Cartosat-1 provides high resolution images in 2.5m spatial resolution. The fused 2.5m color Natural color
images were made available using Resourcesat-1/2, Linear Imaging Self Scanning System (LISS-4
Multispectral).
• Geographical feature continued Pan India high resolution datasets were available on Bhuvan.
• Spatial Resolution: 2.5m
• Accuracy : Better than 15m
• Coverage: Pan India.
• Accessing Mechanism: Visualization through WMS layers
Frequency :
Layers Number of
Images Acquired
State Mosaics Pan India 2006-09
State Mosaics 4 2012-13
City Mosaics 120
14
• Cartosat-2/2A/2B provides high resolution images upto 1m spatial resolution. The natural color
composite is made using Resourcesat-1/2 LISS-4 Multispectral by fusion.
• Total of 350 Indian cities high resolution images were available on Bhuvan.
• Pan India high resolution datasets is being generated and 60,000 Sq.Km data is already available.
• Spatial Resolution: 1m
• Accuracy : Better than 15m
• Coverage:Cities & Entire India data is being uploaded.
• Accessing Mechanism: Visualization through WMS layers
Coverage :
Poulation Number of Cities
> 1 Lakh 213
< 1 Lakh 138
Tiles Area in Sq.Km
4 60,000 15
AWIFS(50mColor)
Full India AWiFS seasonal mosaics
• ResourceSat-1 & 2 provides 56 m Color data from AWiFS (Advanced Wide Field Sensor).
• AWiFS full India mosaic is generated for three seasons (Kharif - July to October, Rabi – October to
March and Zaid – April to May) of every year.
• Utilized for agriculture and vegetation studies.
• Spatial Resolution: 50m
• Accuracy : Better than 100m
• Coverage: For Entire India
• Accessing Mechanism: Free data download and Visualization through WMS layers
16
LISS-III Multispectral (25m Color)
LISS-III Full India Coverage
• ResourceSat-1 & 2 and IRS-1C/1D provides 24.5m Color data from LISS-3 sensor.
• Spatial Resolution: 25m
• Accuracy: Better than 100m
• Coverage: For Entire India
• Accessing Mechanism: Free data download and Visualization through WMS layers
• Frequency :
Layer
number
Acquired Date Season Satellite
1 2006 Rabi ResourceSat-1
2 2008 Kharif ResourceSat-1
3 2011 Rabi ResourceSat-2
17
LISS-IV Multispectral (5m Color)
L4 Multispectral coverage
• ResourceSat-1 & 2 provides 5m Color data from LISS-4 Multispectral sensor. Apart from these satellites, IRS-
1C/1D LISS-3 + PAN fused products also gives 5m Color.
• Spatial Resolution: 5m
• Accuracy : Better than 100m
• Coverage: For Entire India
• Accessing Mechanism: Visualization through WMS layers.
• Frequency :
Layer Area
number
Sensor Acquired Date
1 Full India IRS-1C/1D PAN + MX 2000-2001
2 Full India ResourceSat-1 L4 MX 2006-2009
18
THEMATIC LAYERS
AVAILABLE IN BHUVAN – WMS (Web Map Service)
19
LandUseLand Cover
Land Use Land Cover Data – 1:250,000
The map service is on Land use/Land cover map of India on 1:250,000 scale and published under Bhuvan-Thematic Services of
NRSC, ISRO. The LULC maps are generated using multi-temporal satellite data of IRS AWiFS sensor
1. Availability of Datasets
10 cycles Data (2004-05 to2013-14)
2. Data Accuracy
The overall classification accuracy is found to be 90.07 % with a range of 86 to 95 % in different states.
Land Use Land Cover Data – 1:50,000
• Land Use Land Cover mapping on 1:50000 scale for the entire country has been taken up with an objective of generating
digital Land Use/Land Cover database using multi temporal Resourcesat Satellite terrain corrected Linear Imaging Self
Scanning Sensor (LISS) ‐ III data of (Resourcesat) data.
1. Availability of Datasets
Land Use Land Cover (2005-06) – 35 States and UT’s Land Use Land Cover (2011-12) – 35 States and UTS
2. Data Accuracy
Overall accuracy of different LULC classes vary from 79% (like Agro- horticulture) to 97% (like water bodies).
20
Land Use Land Cover Data – 1:10,000
Land Use Land Cover data for Khagaria district of Bihar State
• This layers generated under Space Based Information Support for Decentralized Planning (SISDP) Project
• The SIS-DP Project outputs - Satellite image maps and thematic maps on 1:10,000 scale generated for the first time in
the country, have great potential in meeting the current requirements and opportunities for spatial, participatory,
integrated decentralized planning in the country.
1. Availability ofDatasets
Land Use Land Cover 10K – 238 districts 21
Urban Land Use – 1:10,000 - National Urban Information System (NUIS)
Urban Land Use information for Amritsar town in Punjab State.
• An authentic geospatial database on 1:10,000 scale derived from remote sensing satellite data and GIS techniques is envisaged to monitor
and manage the growth and development of urban landscape by the urban planners and civic authorities under NUIS scheme.
• This decisive task is being achieved today using the High resolution satellite data of Cartosat-1 and Resourcesat-1(LISS-IV) coupled with
ground and collateral data congregated by ISRO with the active participation of partner institutions in the country.
1. Availability of datasets
GIS database is being created for 152 towns in the country. The database would be useful for Master Plan / Development Plan
preparation, Planning and Monitoring.
2. Data Accuracy
The overall classification accuracy is found to be 90 %.
22
Wasteland – 1:50,000
Wasteland information for Chikmagalur district in Karnataka State.
• Wasteland database has been generated under the wasteland change analysis Project of Department of Land Resources, Ministry of Rural
Development on 1:50000 scale for the entire country using 3-seasons (Kharif, Rabi and Zaid seasons of 2008-09) Resourcesat-1 LISS-
III data.
1. Availability of datasets
Wasteland 1:10,000 (2008-09) – 27 States
2. Accuracy
Overall accuracy of different Wasteland classes varies from 79% to 92%.
23
Glacial Lakes  Waterbodies
Glacial Lakes and Water bodies in Jammu and Kashmir
• The inventory of glacial lakes and water bodies in the Himalayan (India) region of Indian river basins was carried out under the project
of Central Water Commission, Ministry of Water Resources, Government of India on 1:250,000 scale for using satellite images Aug,
Sep, Oct, Nov & Dec in 2009 by mapping those glacial lakes and water bodies that are more than 10 ha in size.
• Monitoring of the glacial lakes and water bodies that area more than 50 ha in size was carried out for the months of Jun, Jul, Aug,
Sep & Oct for the years 2011, 2012 and 2013 using cloud free satellite data.
1. Availability of Datasets
Glacial Lakes and Water bodies( Indian Himalayan region) – For Three States
2. Accuracy
Overall accuracy of identification of glacial lakes and water bodies vary from 90% to 95%. 24
Geomorphology – 1:50000 and Lineament – 1:50,000
Geomorphology data of Kullu Area of Himachal Pradesh.
• Geomorphology and lineament map is an important geo-scientific data for applied geological investigations such
as mineral exploration, geo-hazard studies, geo-technical applications etc.
• Geomorphological and lineament mapping was taken up in association with Geological Survey of India under
the NNRMS standing committee on geology activities.
• The geomorphology and lineament maps were prepared using satellite data and other collateral data sources with
limited field work.
1. Availability of Datasets
Geomorphology - 1:50,000(2005-06) and Lineament – 1:50,000 – 29 States
25
Erosion 1:50,000
Erosion data of Jalaun district Area of Uttar Pradesh.
• Erosion by water and wind is the most important land degradation process that occurs on the surface of the earth.
• Mapping of erosion due to wind and water on 1:50,000 scale for the entire country has been has been carried out using 3-seasons LISS-
III satellite data of 2005-06, SRTM / Carto DEM, Universal Soil Loss Equation, available soil and rainfall as well as land use/cover
information.
• Adequate field checks were carried out for mapping and accuracy assessment.
1. Availability of Datasets
Erosion - 1:50,000(2005-06) – 21 States
2. Accuracy
Overall accuracy of different erosion classes vary from 82% to 90% depending on terrain conditions and supporting data availability.
26
SOFTWARE AND ARCHITECTURE
27
• Bhuvan provides a gateway to explore and discover the virtual Earth in 2-
Dimensional, 3-Dimensional space
• The Bhuvan 2D interface is built using OpenLayers - a popular, open source WMS
client.
• The 2D map browser provides map navigation, map panning, line drawing, point
polygon, overview map, linear and areal measurement, and search
• Bhuvan enables users to share and overlay maps and geospatial feature data
through services that implement
 OGC Web Map Service (WMS)
 Web Feature Service (WFS) interface standards
 OGC KML encoding standard.
“Browse, Visualise, Create, Analyse, Share and Host”
28
The Open Geospatial Consortium (OGC) is an international industry consortium
of over 521 companies, government agencies and universities participating in a
consensus process to develop publicly available interface standards.
The OpenGIS® Web Map Service Interface Standard (WMS) provides a simple
HTTP interface for requesting geo-registered map images from one or more
distributed geospatial databases. The response to the request is one or more geo-
registered map images (returned as JPEG, PNG, etc) that can be displayed in a
browser application.
“Browse, Visualise, Create, Analyse, Share and Host” 29
The Web Feature Service (WFS) specification defines interfaces for
describing data manipulation operations of geographic features. Data
manipulation operations include the ability to get or query features based on
spatial and non-spatial constraints, create a new feature instance, delete a
feature instance, update a feature instance
 KML (Keyhole Mark-up Language) is an XML language focused on
geographic visualization, including annotation of maps and images.
Geographic visualization includes not only the presentation of graphical
data on the globe, but also the control of the user's navigation in the sense of
where to go and where to look
“Browse, Visualise, Create, Analyse, Share and Host” 30
“Browse, Visualise, Create, Analyse, Share and Host”
31
• Switches allow different devices on a network to communicate.
• Routers allow different networks to communicate. A router is a networking
device that routes data packets between computer networks. A router can connect
networked computers to the Internet, so multiple users can share a connection.
• A SAN file system (Storage Area NetworkS file system) is programming that
enables the sharing of the same copies of files stored on common storage media
among multiple servers that may have different operating systems.
 system simplifies and streamlines SAN management,
 minimizes storage and retrieval time,
 optimizes the use of storage resources,
 allows network components to be scaled individually,
 eliminates the need for storage redundancy.
“Browse, Visualise, Create, Analyse, Share and Host” 32
“Browse, Visualise, Create, Analyse, Share and Host”
Mobile App Architecture
33
“Browse, Visualise, Create, Analyse, Share and Host”
 The Bhuvan mobile app architecture brings in an ordered approach to the
field data collection process with benefits like: enhanced ease collected
information, enabling near real time data utilization, data management and
protection at 24 x 7 data centre facility.
 The collected data is encapsulated in the form of an XML-encoded document
along with the field photos in jpeg format. The data can be sent from field in
near real time to Bhuvan server via the network connectivity available on the
smart phone like GPRS/ 3G.
 Alternatively, the saved data sets can be transmitted to the server
subsequently as and when network connectivity is present.
 The user is also provided with a choice to edit the attribute/ parameter values
(but not the geo-location or the photos) prior to the sending the observation.
34
Sources
• http://bhuvan.nrsc.gov.in/bhuvan_links.php
 Bhuvan User Handbook
 Bhuvan Geospatial Content
 Software Specifications
 Bhuvan Data Content And Map Standards
 Bhuvan Mobile Applications
35

Más contenido relacionado

La actualidad más candente

Components of Spatial Data Quality in GIS
Components of Spatial Data Quality in GISComponents of Spatial Data Quality in GIS
Components of Spatial Data Quality in GISKaium Chowdhury
 
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT Sumant Diwakar
 
Change detection analysis in land use / land cover of Pune city using remotel...
Change detection analysis in land use / land cover of Pune city using remotel...Change detection analysis in land use / land cover of Pune city using remotel...
Change detection analysis in land use / land cover of Pune city using remotel...Nitin Mundhe
 
Land use and land cover classification
Land use and land cover classification Land use and land cover classification
Land use and land cover classification Pulak Barman
 
Dgps seminar
Dgps seminarDgps seminar
Dgps seminaranand0030
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote SensingAkash Tikhe
 
Land use and Land Cover
Land use and Land CoverLand use and Land Cover
Land use and Land Covervyshalik
 
Concept and need for regional planning
Concept and need for regional planningConcept and need for regional planning
Concept and need for regional planningAlbertRaja6
 
Land use land cover
Land use land coverLand use land cover
Land use land coverJATIN KUMAR
 

La actualidad más candente (20)

Components of Spatial Data Quality in GIS
Components of Spatial Data Quality in GISComponents of Spatial Data Quality in GIS
Components of Spatial Data Quality in GIS
 
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
 
Change detection analysis in land use / land cover of Pune city using remotel...
Change detection analysis in land use / land cover of Pune city using remotel...Change detection analysis in land use / land cover of Pune city using remotel...
Change detection analysis in land use / land cover of Pune city using remotel...
 
Bhuvan
Bhuvan Bhuvan
Bhuvan
 
Land use and land cover classification
Land use and land cover classification Land use and land cover classification
Land use and land cover classification
 
Raster data and Vector data
Raster data and Vector dataRaster data and Vector data
Raster data and Vector data
 
City region
City regionCity region
City region
 
Urban planing & gis
Urban planing & gisUrban planing & gis
Urban planing & gis
 
GIS Data Types
GIS Data TypesGIS Data Types
GIS Data Types
 
Land cover and Land Use
Land cover and Land UseLand cover and Land Use
Land cover and Land Use
 
Dgps seminar
Dgps seminarDgps seminar
Dgps seminar
 
Land Information System -Savitri Kumari
Land Information System -Savitri KumariLand Information System -Savitri Kumari
Land Information System -Savitri Kumari
 
GIS data analysis
GIS data analysisGIS data analysis
GIS data analysis
 
georeference
georeferencegeoreference
georeference
 
Basics of Remote Sensing
Basics of Remote SensingBasics of Remote Sensing
Basics of Remote Sensing
 
Land use and Land Cover
Land use and Land CoverLand use and Land Cover
Land use and Land Cover
 
Concept and need for regional planning
Concept and need for regional planningConcept and need for regional planning
Concept and need for regional planning
 
Land use land cover
Land use land coverLand use land cover
Land use land cover
 
Remote sensing and aerial photography
Remote sensing and aerial photographyRemote sensing and aerial photography
Remote sensing and aerial photography
 
LISS
LISSLISS
LISS
 

Similar a Bhuvan

Geospatial data & Web Portals for IWRM:-NRSC Perspective By Dr. J.R. Sharma
Geospatial data &  Web Portals for IWRM:-NRSC Perspective  By Dr. J.R. SharmaGeospatial data &  Web Portals for IWRM:-NRSC Perspective  By Dr. J.R. Sharma
Geospatial data & Web Portals for IWRM:-NRSC Perspective By Dr. J.R. Sharmaindiawrm
 
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...NeGD Capacity Building
 
Applications of RS and GIS in Urban Planning by Rakshith m murthy
Applications of RS and GIS in Urban Planning by Rakshith m murthyApplications of RS and GIS in Urban Planning by Rakshith m murthy
Applications of RS and GIS in Urban Planning by Rakshith m murthys0l0m0n7
 
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu ChandraMulti Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu ChandraNeGD Capacity Building
 
Quantitative Morphometric analysis of a Semi Urban Watershed, Trans Yamuna, ...
Quantitative Morphometric analysis of a Semi Urban Watershed,  Trans Yamuna, ...Quantitative Morphometric analysis of a Semi Urban Watershed,  Trans Yamuna, ...
Quantitative Morphometric analysis of a Semi Urban Watershed, Trans Yamuna, ...IJMER
 
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-1723 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17indiawrm
 
Crowd sourcing gis for global urban area mapping
Crowd sourcing gis for global urban area mappingCrowd sourcing gis for global urban area mapping
Crowd sourcing gis for global urban area mappingHiroyuki Miyazaki
 
Appllications of Remote Sensing.ppt
Appllications of Remote Sensing.pptAppllications of Remote Sensing.ppt
Appllications of Remote Sensing.pptUjjwalSubedi8
 
Bhuvan and DIVA-GIS software Training
Bhuvan and DIVA-GIS software TrainingBhuvan and DIVA-GIS software Training
Bhuvan and DIVA-GIS software TrainingSainath Aher
 
AGRICULTURE INFORMATION SYSTEM USING REMOTE SENSING, GEOGRAPHICAL ANALYSIS ...
AGRICULTURE INFORMATION SYSTEM USING  REMOTE SENSING, GEOGRAPHICAL  ANALYSIS ...AGRICULTURE INFORMATION SYSTEM USING  REMOTE SENSING, GEOGRAPHICAL  ANALYSIS ...
AGRICULTURE INFORMATION SYSTEM USING REMOTE SENSING, GEOGRAPHICAL ANALYSIS ...Alok Singh
 
Lidar and radar.pptx
Lidar and radar.pptxLidar and radar.pptx
Lidar and radar.pptxBivaYadav3
 
2016.09.19_15.30_Agency_Reports_ISRO.pptx
2016.09.19_15.30_Agency_Reports_ISRO.pptx2016.09.19_15.30_Agency_Reports_ISRO.pptx
2016.09.19_15.30_Agency_Reports_ISRO.pptxManasutthasini2
 
Iirs Remote sensing application in Urban Planning
Iirs Remote sensing application in Urban PlanningIirs Remote sensing application in Urban Planning
Iirs Remote sensing application in Urban PlanningTushar Dholakia
 
GIS Based Semi Automated Extraction of Sites for Artificial Recharge
GIS Based Semi Automated Extraction of Sites for Artificial RechargeGIS Based Semi Automated Extraction of Sites for Artificial Recharge
GIS Based Semi Automated Extraction of Sites for Artificial Rechargeresearchinventy
 
Watershed delineation and LULC mapping
Watershed delineation and LULC mappingWatershed delineation and LULC mapping
Watershed delineation and LULC mappingKapil Thakur
 
Application of remote sensing
Application of remote sensingApplication of remote sensing
Application of remote sensingAnurag Kumar
 
Watershed management: Role of Geospatial Technology
Watershed management: Role of Geospatial TechnologyWatershed management: Role of Geospatial Technology
Watershed management: Role of Geospatial Technologyamritpaldigra30
 
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd... Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...hydrologywebsite1
 
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd... Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...hydrologyproject001
 

Similar a Bhuvan (20)

Geospatial data & Web Portals for IWRM:-NRSC Perspective By Dr. J.R. Sharma
Geospatial data &  Web Portals for IWRM:-NRSC Perspective  By Dr. J.R. SharmaGeospatial data &  Web Portals for IWRM:-NRSC Perspective  By Dr. J.R. Sharma
Geospatial data & Web Portals for IWRM:-NRSC Perspective By Dr. J.R. Sharma
 
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...
Empowering institutions and stakeholders for spatial planning - Dr. Nagaraj R...
 
Applications of RS and GIS in Urban Planning by Rakshith m murthy
Applications of RS and GIS in Urban Planning by Rakshith m murthyApplications of RS and GIS in Urban Planning by Rakshith m murthy
Applications of RS and GIS in Urban Planning by Rakshith m murthy
 
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu ChandraMulti Layer GIS Platform in Digital India - Mr. Vishnu Chandra
Multi Layer GIS Platform in Digital India - Mr. Vishnu Chandra
 
Quantitative Morphometric analysis of a Semi Urban Watershed, Trans Yamuna, ...
Quantitative Morphometric analysis of a Semi Urban Watershed,  Trans Yamuna, ...Quantitative Morphometric analysis of a Semi Urban Watershed,  Trans Yamuna, ...
Quantitative Morphometric analysis of a Semi Urban Watershed, Trans Yamuna, ...
 
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-1723 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
23 - NRSC - Remote Satellite Imgae - Hydrology and Water Management-Sep-17
 
Crowd sourcing gis for global urban area mapping
Crowd sourcing gis for global urban area mappingCrowd sourcing gis for global urban area mapping
Crowd sourcing gis for global urban area mapping
 
Appllications of Remote Sensing.ppt
Appllications of Remote Sensing.pptAppllications of Remote Sensing.ppt
Appllications of Remote Sensing.ppt
 
Department of survey of pakistan
Department of survey of pakistanDepartment of survey of pakistan
Department of survey of pakistan
 
Bhuvan and DIVA-GIS software Training
Bhuvan and DIVA-GIS software TrainingBhuvan and DIVA-GIS software Training
Bhuvan and DIVA-GIS software Training
 
AGRICULTURE INFORMATION SYSTEM USING REMOTE SENSING, GEOGRAPHICAL ANALYSIS ...
AGRICULTURE INFORMATION SYSTEM USING  REMOTE SENSING, GEOGRAPHICAL  ANALYSIS ...AGRICULTURE INFORMATION SYSTEM USING  REMOTE SENSING, GEOGRAPHICAL  ANALYSIS ...
AGRICULTURE INFORMATION SYSTEM USING REMOTE SENSING, GEOGRAPHICAL ANALYSIS ...
 
Lidar and radar.pptx
Lidar and radar.pptxLidar and radar.pptx
Lidar and radar.pptx
 
2016.09.19_15.30_Agency_Reports_ISRO.pptx
2016.09.19_15.30_Agency_Reports_ISRO.pptx2016.09.19_15.30_Agency_Reports_ISRO.pptx
2016.09.19_15.30_Agency_Reports_ISRO.pptx
 
Iirs Remote sensing application in Urban Planning
Iirs Remote sensing application in Urban PlanningIirs Remote sensing application in Urban Planning
Iirs Remote sensing application in Urban Planning
 
GIS Based Semi Automated Extraction of Sites for Artificial Recharge
GIS Based Semi Automated Extraction of Sites for Artificial RechargeGIS Based Semi Automated Extraction of Sites for Artificial Recharge
GIS Based Semi Automated Extraction of Sites for Artificial Recharge
 
Watershed delineation and LULC mapping
Watershed delineation and LULC mappingWatershed delineation and LULC mapping
Watershed delineation and LULC mapping
 
Application of remote sensing
Application of remote sensingApplication of remote sensing
Application of remote sensing
 
Watershed management: Role of Geospatial Technology
Watershed management: Role of Geospatial TechnologyWatershed management: Role of Geospatial Technology
Watershed management: Role of Geospatial Technology
 
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd... Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd... Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
Download-manuals-ground water-manual-gw-volume5operationmanualgiscreationofd...
 

Más de Sakthivel R

Thermal remote sensing
Thermal remote sensingThermal remote sensing
Thermal remote sensingSakthivel R
 
Remote sensing and gis for monitoring vector borne diseases
Remote sensing and gis for monitoring vector borne diseasesRemote sensing and gis for monitoring vector borne diseases
Remote sensing and gis for monitoring vector borne diseasesSakthivel R
 
Python in geospatial analysis
Python in geospatial analysisPython in geospatial analysis
Python in geospatial analysisSakthivel R
 
c,c++,java and python in gis development
c,c++,java and python in gis developmentc,c++,java and python in gis development
c,c++,java and python in gis developmentSakthivel R
 
How to write an article
How to write an articleHow to write an article
How to write an articleSakthivel R
 
Fundamental analysis of silver
Fundamental analysis of silverFundamental analysis of silver
Fundamental analysis of silverSakthivel R
 
Climate change in agriculture
Climate change in agricultureClimate change in agriculture
Climate change in agricultureSakthivel R
 
consumer buying behaviour
consumer buying behaviourconsumer buying behaviour
consumer buying behaviourSakthivel R
 
Transgenics in biotic stress management
Transgenics in biotic stress managementTransgenics in biotic stress management
Transgenics in biotic stress managementSakthivel R
 
Scm in agrofood industries
Scm in agrofood industriesScm in agrofood industries
Scm in agrofood industriesSakthivel R
 
Privatization in agriculture
Privatization in agriculturePrivatization in agriculture
Privatization in agricultureSakthivel R
 
Price spread and marketing efficiency
Price spread and marketing efficiencyPrice spread and marketing efficiency
Price spread and marketing efficiencySakthivel R
 
Man made disasters
Man made disastersMan made disasters
Man made disastersSakthivel R
 
Hard skills and soft skills
Hard skills and soft skillsHard skills and soft skills
Hard skills and soft skillsSakthivel R
 

Más de Sakthivel R (20)

Thermal remote sensing
Thermal remote sensingThermal remote sensing
Thermal remote sensing
 
Remote sensing and gis for monitoring vector borne diseases
Remote sensing and gis for monitoring vector borne diseasesRemote sensing and gis for monitoring vector borne diseases
Remote sensing and gis for monitoring vector borne diseases
 
Python in geospatial analysis
Python in geospatial analysisPython in geospatial analysis
Python in geospatial analysis
 
c,c++,java and python in gis development
c,c++,java and python in gis developmentc,c++,java and python in gis development
c,c++,java and python in gis development
 
Lms moodle
Lms moodleLms moodle
Lms moodle
 
Real time pcr
Real time  pcrReal time  pcr
Real time pcr
 
How to write an article
How to write an articleHow to write an article
How to write an article
 
Fundamental analysis of silver
Fundamental analysis of silverFundamental analysis of silver
Fundamental analysis of silver
 
Climate change in agriculture
Climate change in agricultureClimate change in agriculture
Climate change in agriculture
 
consumer buying behaviour
consumer buying behaviourconsumer buying behaviour
consumer buying behaviour
 
Transposons
TransposonsTransposons
Transposons
 
Transgenics in biotic stress management
Transgenics in biotic stress managementTransgenics in biotic stress management
Transgenics in biotic stress management
 
Seed drying
Seed dryingSeed drying
Seed drying
 
Scm in agrofood industries
Scm in agrofood industriesScm in agrofood industries
Scm in agrofood industries
 
Probit model
Probit modelProbit model
Probit model
 
Privatization in agriculture
Privatization in agriculturePrivatization in agriculture
Privatization in agriculture
 
Price spread and marketing efficiency
Price spread and marketing efficiencyPrice spread and marketing efficiency
Price spread and marketing efficiency
 
m - commerce
m - commercem - commerce
m - commerce
 
Man made disasters
Man made disastersMan made disasters
Man made disasters
 
Hard skills and soft skills
Hard skills and soft skillsHard skills and soft skills
Hard skills and soft skills
 

Último

Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfMohonDas
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.raviapr7
 
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxAUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxiammrhaywood
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice documentXsasf Sfdfasd
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17Celine George
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapitolTechU
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptxSandy Millin
 
How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17Celine George
 
UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
General views of Histopathology and step
General views of Histopathology and stepGeneral views of Histopathology and step
General views of Histopathology and stepobaje godwin sunday
 
Human-AI Co-Creation of Worked Examples for Programming Classes
Human-AI Co-Creation of Worked Examples for Programming ClassesHuman-AI Co-Creation of Worked Examples for Programming Classes
Human-AI Co-Creation of Worked Examples for Programming ClassesMohammad Hassany
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRATanmoy Mishra
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsEugene Lysak
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...CaraSkikne1
 
How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17Celine George
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxheathfieldcps1
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxAditiChauhan701637
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...Nguyen Thanh Tu Collection
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxraviapr7
 

Último (20)

Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdf
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.
 
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxAUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
 
The Singapore Teaching Practice document
The Singapore Teaching Practice documentThe Singapore Teaching Practice document
The Singapore Teaching Practice document
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17
 
CapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptxCapTechU Doctoral Presentation -March 2024 slides.pptx
CapTechU Doctoral Presentation -March 2024 slides.pptx
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
 
How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17How to Make a Field read-only in Odoo 17
How to Make a Field read-only in Odoo 17
 
UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024UKCGE Parental Leave Discussion March 2024
UKCGE Parental Leave Discussion March 2024
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
General views of Histopathology and step
General views of Histopathology and stepGeneral views of Histopathology and step
General views of Histopathology and step
 
Human-AI Co-Creation of Worked Examples for Programming Classes
Human-AI Co-Creation of Worked Examples for Programming ClassesHuman-AI Co-Creation of Worked Examples for Programming Classes
Human-AI Co-Creation of Worked Examples for Programming Classes
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George Wells
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...
 
How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17How to Add Existing Field in One2Many Tree View in Odoo 17
How to Add Existing Field in One2Many Tree View in Odoo 17
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptx
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptx
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptx
 

Bhuvan

  • 1. INTRODUCTION AND APPLICATION OF BHUVAN M.Tech 1st Year, Department of Geography, University of Madras Presented by: Khushboo Prathiban K Vignesh T Sugashri 1
  • 2. INTRODUCTION • Geoportal of ISRO • Introduced in 2009 • Open platform • Only governmental platform – operational in public domain • PAN-India coverage • One of the largest repository of GIS map and services in the country • 6000 services approx. – offered • Simple display of satellite images – 5m • Transitions from national to village level depiction 2
  • 3. • Image resolution now – 1m • Hydrological base – basins to watershed • Transport network – NH to city roads • 3.5 million location based information – crowd sourcing mechanism • Digital surface model – entire country – depiction of topography 3
  • 4. • Designed to run on slow internet connections • Satellites – Resourcesat – 1, Cartosat – 1, Cartosat – 2 • Bhuvan 2D and 3D • Available in 4 languages – English, Hindi, Tamil and Telegu • Satellite images – almost 350 cities in the country – 1 m resolution • Large coverage – majorly Rajasthan, Gujarat and Madhya Pradesh • Future – 1m for entire country. • Do not include any military installations – security concerns 4
  • 5. OVERVIEW • 22 ministries have integrated to Bhuvan – e-governance program • Many departments – linked web portals to Bhuvan – online services • IMD – Thunderstorm and Fog alerts • Disaster support – Cyclones, Floods, Landslides, Earthquakes, Forest Fire, Drought – Preparedness and Response • Rain induced landslide forewarning system 5
  • 6. BHUVAN 2D • Provide – Map View, Satellite View and hybrid • Terrain view • Census 2011 information – integrated at village level – easy analysis • 2.5D visualization model • Visualization of ISRO Automatic Weather Stations – current data • Online shapefile creation utility 6
  • 7. • Visualization of Ocean Services • Special display of crowd sourced data – collected by various users and public. • Map view – administrative and hydrological base 7
  • 8. BHUVAN 3D • 3 dimensional representation of objects • Multi sensor, Multi platform, Multi temporal data with height information. • 2 possibilities of 3D – with Plug-in and without plugin • Facilitates recording options – capture events on globe and play back. 8
  • 10. Satellite Base Layers • 2.5m Color for Entire India • 1m Color for Indian Cities • AWiFS Layers (Advanced Wide Field Sensor – 50m) • LISS-3 Layers (25 m) • LISS-4 Multi spectral Layers (2.5 m) Vector Base Layers • Administrative layers • Infrastructure layers • Major Water bodies 10
  • 11. Thematic Layers • Land Use / Land Cover 250K to 10k • Urban land use 10K (NUIS) • Wasteland 50K (2008-09) • Glacial Lakes Water bodies • Geomorphology 50K (2005-06) • Lineament 50K • Flood hazard layer and Flood annual layers • Erosion 50K (2005-06) • Salt affected and water logging 50K (2005-06) • Urban sprawl 11
  • 12. Free Data Download • AWiFS - Ortho-rectified satellite images • LISS-3 – Ortho-rectified satellite images (25 m resolution) • DEM – CartoDEM at 30m resolution • HySI–Hyper-spectral for Pan India Ocean & Atmospheric Layers • Ocean Color Monitor Sensor (OCM)-NDVI- Global and Local • Coverage, Vegetation • Ocean – Heat Content, TCHP (Tropical Cyclone Heat Potential) • Ocean Wind – Stress, Curl, Velocity 12
  • 13. SATELLITE LAYERS AVAILABLE IN BHUVAN – WMS (Web Map Service) 13
  • 14. High Resolution Images – 2.5m Color 2.5m coverage and State mosaic • Cartosat-1 provides high resolution images in 2.5m spatial resolution. The fused 2.5m color Natural color images were made available using Resourcesat-1/2, Linear Imaging Self Scanning System (LISS-4 Multispectral). • Geographical feature continued Pan India high resolution datasets were available on Bhuvan. • Spatial Resolution: 2.5m • Accuracy : Better than 15m • Coverage: Pan India. • Accessing Mechanism: Visualization through WMS layers Frequency : Layers Number of Images Acquired State Mosaics Pan India 2006-09 State Mosaics 4 2012-13 City Mosaics 120 14
  • 15. • Cartosat-2/2A/2B provides high resolution images upto 1m spatial resolution. The natural color composite is made using Resourcesat-1/2 LISS-4 Multispectral by fusion. • Total of 350 Indian cities high resolution images were available on Bhuvan. • Pan India high resolution datasets is being generated and 60,000 Sq.Km data is already available. • Spatial Resolution: 1m • Accuracy : Better than 15m • Coverage:Cities & Entire India data is being uploaded. • Accessing Mechanism: Visualization through WMS layers Coverage : Poulation Number of Cities > 1 Lakh 213 < 1 Lakh 138 Tiles Area in Sq.Km 4 60,000 15
  • 16. AWIFS(50mColor) Full India AWiFS seasonal mosaics • ResourceSat-1 & 2 provides 56 m Color data from AWiFS (Advanced Wide Field Sensor). • AWiFS full India mosaic is generated for three seasons (Kharif - July to October, Rabi – October to March and Zaid – April to May) of every year. • Utilized for agriculture and vegetation studies. • Spatial Resolution: 50m • Accuracy : Better than 100m • Coverage: For Entire India • Accessing Mechanism: Free data download and Visualization through WMS layers 16
  • 17. LISS-III Multispectral (25m Color) LISS-III Full India Coverage • ResourceSat-1 & 2 and IRS-1C/1D provides 24.5m Color data from LISS-3 sensor. • Spatial Resolution: 25m • Accuracy: Better than 100m • Coverage: For Entire India • Accessing Mechanism: Free data download and Visualization through WMS layers • Frequency : Layer number Acquired Date Season Satellite 1 2006 Rabi ResourceSat-1 2 2008 Kharif ResourceSat-1 3 2011 Rabi ResourceSat-2 17
  • 18. LISS-IV Multispectral (5m Color) L4 Multispectral coverage • ResourceSat-1 & 2 provides 5m Color data from LISS-4 Multispectral sensor. Apart from these satellites, IRS- 1C/1D LISS-3 + PAN fused products also gives 5m Color. • Spatial Resolution: 5m • Accuracy : Better than 100m • Coverage: For Entire India • Accessing Mechanism: Visualization through WMS layers. • Frequency : Layer Area number Sensor Acquired Date 1 Full India IRS-1C/1D PAN + MX 2000-2001 2 Full India ResourceSat-1 L4 MX 2006-2009 18
  • 19. THEMATIC LAYERS AVAILABLE IN BHUVAN – WMS (Web Map Service) 19
  • 20. LandUseLand Cover Land Use Land Cover Data – 1:250,000 The map service is on Land use/Land cover map of India on 1:250,000 scale and published under Bhuvan-Thematic Services of NRSC, ISRO. The LULC maps are generated using multi-temporal satellite data of IRS AWiFS sensor 1. Availability of Datasets 10 cycles Data (2004-05 to2013-14) 2. Data Accuracy The overall classification accuracy is found to be 90.07 % with a range of 86 to 95 % in different states. Land Use Land Cover Data – 1:50,000 • Land Use Land Cover mapping on 1:50000 scale for the entire country has been taken up with an objective of generating digital Land Use/Land Cover database using multi temporal Resourcesat Satellite terrain corrected Linear Imaging Self Scanning Sensor (LISS) ‐ III data of (Resourcesat) data. 1. Availability of Datasets Land Use Land Cover (2005-06) – 35 States and UT’s Land Use Land Cover (2011-12) – 35 States and UTS 2. Data Accuracy Overall accuracy of different LULC classes vary from 79% (like Agro- horticulture) to 97% (like water bodies). 20
  • 21. Land Use Land Cover Data – 1:10,000 Land Use Land Cover data for Khagaria district of Bihar State • This layers generated under Space Based Information Support for Decentralized Planning (SISDP) Project • The SIS-DP Project outputs - Satellite image maps and thematic maps on 1:10,000 scale generated for the first time in the country, have great potential in meeting the current requirements and opportunities for spatial, participatory, integrated decentralized planning in the country. 1. Availability ofDatasets Land Use Land Cover 10K – 238 districts 21
  • 22. Urban Land Use – 1:10,000 - National Urban Information System (NUIS) Urban Land Use information for Amritsar town in Punjab State. • An authentic geospatial database on 1:10,000 scale derived from remote sensing satellite data and GIS techniques is envisaged to monitor and manage the growth and development of urban landscape by the urban planners and civic authorities under NUIS scheme. • This decisive task is being achieved today using the High resolution satellite data of Cartosat-1 and Resourcesat-1(LISS-IV) coupled with ground and collateral data congregated by ISRO with the active participation of partner institutions in the country. 1. Availability of datasets GIS database is being created for 152 towns in the country. The database would be useful for Master Plan / Development Plan preparation, Planning and Monitoring. 2. Data Accuracy The overall classification accuracy is found to be 90 %. 22
  • 23. Wasteland – 1:50,000 Wasteland information for Chikmagalur district in Karnataka State. • Wasteland database has been generated under the wasteland change analysis Project of Department of Land Resources, Ministry of Rural Development on 1:50000 scale for the entire country using 3-seasons (Kharif, Rabi and Zaid seasons of 2008-09) Resourcesat-1 LISS- III data. 1. Availability of datasets Wasteland 1:10,000 (2008-09) – 27 States 2. Accuracy Overall accuracy of different Wasteland classes varies from 79% to 92%. 23
  • 24. Glacial Lakes Waterbodies Glacial Lakes and Water bodies in Jammu and Kashmir • The inventory of glacial lakes and water bodies in the Himalayan (India) region of Indian river basins was carried out under the project of Central Water Commission, Ministry of Water Resources, Government of India on 1:250,000 scale for using satellite images Aug, Sep, Oct, Nov & Dec in 2009 by mapping those glacial lakes and water bodies that are more than 10 ha in size. • Monitoring of the glacial lakes and water bodies that area more than 50 ha in size was carried out for the months of Jun, Jul, Aug, Sep & Oct for the years 2011, 2012 and 2013 using cloud free satellite data. 1. Availability of Datasets Glacial Lakes and Water bodies( Indian Himalayan region) – For Three States 2. Accuracy Overall accuracy of identification of glacial lakes and water bodies vary from 90% to 95%. 24
  • 25. Geomorphology – 1:50000 and Lineament – 1:50,000 Geomorphology data of Kullu Area of Himachal Pradesh. • Geomorphology and lineament map is an important geo-scientific data for applied geological investigations such as mineral exploration, geo-hazard studies, geo-technical applications etc. • Geomorphological and lineament mapping was taken up in association with Geological Survey of India under the NNRMS standing committee on geology activities. • The geomorphology and lineament maps were prepared using satellite data and other collateral data sources with limited field work. 1. Availability of Datasets Geomorphology - 1:50,000(2005-06) and Lineament – 1:50,000 – 29 States 25
  • 26. Erosion 1:50,000 Erosion data of Jalaun district Area of Uttar Pradesh. • Erosion by water and wind is the most important land degradation process that occurs on the surface of the earth. • Mapping of erosion due to wind and water on 1:50,000 scale for the entire country has been has been carried out using 3-seasons LISS- III satellite data of 2005-06, SRTM / Carto DEM, Universal Soil Loss Equation, available soil and rainfall as well as land use/cover information. • Adequate field checks were carried out for mapping and accuracy assessment. 1. Availability of Datasets Erosion - 1:50,000(2005-06) – 21 States 2. Accuracy Overall accuracy of different erosion classes vary from 82% to 90% depending on terrain conditions and supporting data availability. 26
  • 28. • Bhuvan provides a gateway to explore and discover the virtual Earth in 2- Dimensional, 3-Dimensional space • The Bhuvan 2D interface is built using OpenLayers - a popular, open source WMS client. • The 2D map browser provides map navigation, map panning, line drawing, point polygon, overview map, linear and areal measurement, and search • Bhuvan enables users to share and overlay maps and geospatial feature data through services that implement  OGC Web Map Service (WMS)  Web Feature Service (WFS) interface standards  OGC KML encoding standard. “Browse, Visualise, Create, Analyse, Share and Host” 28
  • 29. The Open Geospatial Consortium (OGC) is an international industry consortium of over 521 companies, government agencies and universities participating in a consensus process to develop publicly available interface standards. The OpenGIS® Web Map Service Interface Standard (WMS) provides a simple HTTP interface for requesting geo-registered map images from one or more distributed geospatial databases. The response to the request is one or more geo- registered map images (returned as JPEG, PNG, etc) that can be displayed in a browser application. “Browse, Visualise, Create, Analyse, Share and Host” 29
  • 30. The Web Feature Service (WFS) specification defines interfaces for describing data manipulation operations of geographic features. Data manipulation operations include the ability to get or query features based on spatial and non-spatial constraints, create a new feature instance, delete a feature instance, update a feature instance  KML (Keyhole Mark-up Language) is an XML language focused on geographic visualization, including annotation of maps and images. Geographic visualization includes not only the presentation of graphical data on the globe, but also the control of the user's navigation in the sense of where to go and where to look “Browse, Visualise, Create, Analyse, Share and Host” 30
  • 31. “Browse, Visualise, Create, Analyse, Share and Host” 31
  • 32. • Switches allow different devices on a network to communicate. • Routers allow different networks to communicate. A router is a networking device that routes data packets between computer networks. A router can connect networked computers to the Internet, so multiple users can share a connection. • A SAN file system (Storage Area NetworkS file system) is programming that enables the sharing of the same copies of files stored on common storage media among multiple servers that may have different operating systems.  system simplifies and streamlines SAN management,  minimizes storage and retrieval time,  optimizes the use of storage resources,  allows network components to be scaled individually,  eliminates the need for storage redundancy. “Browse, Visualise, Create, Analyse, Share and Host” 32
  • 33. “Browse, Visualise, Create, Analyse, Share and Host” Mobile App Architecture 33
  • 34. “Browse, Visualise, Create, Analyse, Share and Host”  The Bhuvan mobile app architecture brings in an ordered approach to the field data collection process with benefits like: enhanced ease collected information, enabling near real time data utilization, data management and protection at 24 x 7 data centre facility.  The collected data is encapsulated in the form of an XML-encoded document along with the field photos in jpeg format. The data can be sent from field in near real time to Bhuvan server via the network connectivity available on the smart phone like GPRS/ 3G.  Alternatively, the saved data sets can be transmitted to the server subsequently as and when network connectivity is present.  The user is also provided with a choice to edit the attribute/ parameter values (but not the geo-location or the photos) prior to the sending the observation. 34
  • 35. Sources • http://bhuvan.nrsc.gov.in/bhuvan_links.php  Bhuvan User Handbook  Bhuvan Geospatial Content  Software Specifications  Bhuvan Data Content And Map Standards  Bhuvan Mobile Applications 35