Making the most of raster data from the arcgis living atlas of the world
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The image services in the Living Atlas of the World are raster datasets. They work and are used just like the raster datasets on your computer’s hard drive. It requires a little more effort to explore, learn about, and gain trust in the data behind image services. We will show you how to confidently minimize this effort and start saving time as you join the ranks of those who have discovered the value of Web GIS.
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Making the most of raster data from the arcgis living atlas of the world
- 1. Making the Most of Raster Data from the ArcGIS Living Atlas of the World Aileen Buckley Mark Gilbert
- 2. Content in the Living Atlas
- 3. Content in the Living Atlas Esri Content Partner Content User Content
- 4. ArcGIS Online Layers as Inputs to Analysis Imagery Layer – Source: Image Service based on raster data – may be good for analysis Elevation Layer – Source: Image Service based on raster data – for 3D visualization Map Image Layer – Source: Map Service based on vector data – may be good for analysis - Cached map service – analysis is not possible - Dynamic map service – may be good for analysis - Single layer – worth a try (depends on how it was served) - Group layers – not possible Tile Layer – Source: Map Service based on cached raster or vector tiles – not good for analysis - Cached map service – analysis is not possible Feature Layer – Source: Feature Service based on vector data – good for analysis
- 5. ArcGIS Online Layers as Inputs to Analysis Imagery Layer – Source: Image Service based on raster data – may be good for analysis Elevation Layer – Source: Image Service based on raster data – for 3D visualization Map Image Layer – Source: Map Service based on vector data – may be good for analysis - Cached map service – analysis is not possible - Dynamic map service – may be good for analysis - Single layer – worth a try (depends on how it was served) - Group layers – not possible Tile Layer – Source: Map Service based on cached raster or vector tiles – not good for analysis - Cached map service – analysis is not possible Feature Layer – Source: Feature Service based on vector data – good for analysis • Remote sensing images • Raster data (e.g., landcover) • Elevation data (DEM, DTM)
- 15. Mark Gilbert Finding Living Atlas Data and Adding It in Pro
- 18. Modified from USGS, “Emergency Assessment of Post- Fire Debris-Flow Hazards”, las accessed July 1, 2019
- 19. Landslide Susceptibility Analysis Using Data from the Living Atlas Less vegetation: Multispectral Landsat imagery layer High slopes: Terrain imagery layer Arid hillslopes: Terrain imagery layer High precipitation: USA Mean Rainfall imagery layer
- 20. NDVI – amount of green vegetation
- 21. Slope
- 24. Landslide Susceptibility AnalysisCombine the index values
- 27. Raster Analysis with Data from the ArcGIS Living Atlas of the World • No need to scrounge for or download data - No pre-processing - Reduced risk of processing errors - Increased productivity • Large selection of ready-to-use layers • Use the most current data or find historical data • Find the content you need, and make it your own • Raster functions provide in-memory processing - Save space: no intermediary or redundant data - Save time: immediate results, no data written to disk Desktop Web Device Online Content and Services Your ArcGIS Living Atlas of the World Output can be to a desktop computer or your ArcGIS Online account
- 28. Making the Most of Raster Data from the ArcGIS Living Atlas of the World
- 29. Aileen Buckley Mark Gilbert Thank you!
Notas del editor
- I’m Aileen Buckley, and I’m joined by my colleague, Mark Gilbert. Both of us are on the ArcGIS Living Atlas of the World team at Esri. Today, there are three things we want to talk to you about: What’s in the Living Atlas, focusing on imagery and raster data How to find that content and add it to a project in ArcGIS Pro, and How to use it in raster analysis. Intro: 4 min Mark Demo 1: 3 min Model explanation: 3 min Mark Demo 2: 4 min Close: 1 min TOTAL: 15 MIN
- The Living Atlas contains the foremost collection of geographic information from around the globe. It includes maps, apps, tools, and data layers to support your work. CLICK: Since this is the Imagery Summit, I want to point out that the Living Atlas includes: CLICK: Multi-spectral and multi-temporal imagery from a variety of sources CLICK: Landscape layers, like our multi-resolution elevation data for the world, which is called Terrain, and CLICK: Raster data for many earth observations, including layers with live feeds for things like weather and disasters.
- Esri hosts much of the content, such as World Population Density Estimates and our Wayback Imagery collection which includes images that have been used in our Imagery Basemap over the last five years. Content from our partners, such as Nearmap and Hexagon, includes very recent, high-resolution imagery available through the ArcGIS Marketplace. Content from our users includes layers such as NOAA’s Real-Time Weather Observations and Land Cover from the European Space Agency.
- There are different types of layers in ArcGIS Online, and each layer type is based on a different kind of source data. Depending on the layer, you may be able to use it for analysis.
- In this presentation, we focus on and demonstrate the use of imagery layers which have as their source image services. These services are based on raster data, such as: images from remote sensors, classified data, such as landcover, and elevation data in the form of digital elevation or terrain models.
- For example, the Terrain layer has elevation values that can be used for surface analysis. A number of other layers are derived from the Terrain layer. CLICK: Some of them are good for analysis, like Aspect and Slope. CLICK: Others are visual representations of those data and are for mapping purposes only.
- The metadata information on the Item Details page often tells you the appropriate use of the data.
- One thing I have found useful when working with raster data in Pro is to use the Dynamic Range Adjustment or DRA feature. This lets you quickly visualize the data even when panning and zooming, especially if you are exploring the data.
- So, even using global data, like the Terrain layer, if you view a different location, the display updates for the area shown.
- You can also save a local copy of the data you are interested in. To do this, use the Copy Raster tool.
- But be sure to set the geoprocessing environment settings,
- such as the cell size...
- ... and the extent, so that you are processing the data properly for the area you are interested in.
- Raster data from the Living Atlas may include processing templates. These are raster function templates, which I’ll talk about later, that are added to the image service and subsequently become a property of the layer. CLICK The Terrain layer has processing templates for the derivative layers we saw earlier, so you can use this single layer to access the data values for things such as aspect and slope, without having to add additional data to your map.
- Now, let’s have Mark show you how to find Living Atlas data and add it to an ArcGIS Pro project.
- One of the great things about ArcGIS Pro is that you can use raster functions instead of geoprocessing tools to view and analyze imagery and raster data. Raster functions are operations applied on the fly to the displayed pixels of the dataset. The output will be an in-memory raster layer. Only pixels visible on the screen are processed. This shortens processing time and saves you the trouble of creating and storing additional data. And you can always save the layer if you want to make it permanent.
- Raster functions can be strung together into function chains. CLICK: And function chains can be saved as raster function templates at which point, they become visible in the raster function pane. Function templates can be shared with others and, as we saw earlier, added to image services as processing templates.
- This function chain is one that we created to perform a landslide susceptibility analysis modified from a model by the USGS. All data for this analysis comes from the Living Atlas.
- The Living Atlas data can help us to identify areas susceptible to landslides because they have: less green vegetation, higher slopes, more arid south-facing slopes, and higher levels of precipitation.
- The first step in the analysis is to use Landsat multispectal imagery in an NDVI raster function so that the density of green vegetation is identified. The NDVI values, which are rescaled in this function to range from 0 to 200, are reclassified, or remapped, to 4 new index values with the lowest NDVI values where there is little green vegetation receiving the highest remap values.
- Then the Terrain layer is used to generate a slope layer which is remapped to 5 index values so that the higher the slope the higher the index value.
- The Terrain layer is also used to create an aspect layer, and south-facing dryer hillslopes are remapped to higher index values.
- The USA Mean Rainfall layer is used to find high values of mean annual precipitation which are remapped to high index values.
- The index values are added together using the Sum option in the Cell Statistics raster function to produce a layer with values ranging from 0 to 20, with the highest values indicating areas that are the most susceptible to landslides. At this point, because we are using Living Atlas data and raster functions, we’ll have completed our analysis and created new understanding, but we will have not generated any new data.
- Now, Mark is going to take us through the steps in this analysis in a demonstration.
- What you just saw was a raster analysis using Living Atlas data and raster functions to produce an in-memory result. Mark used the result layer to find locations along roads that had the highest susceptibility to landslides. That was the only new data layer created in this analysis.
- So, to wrap up, let’s review. First, by using data from the ArcGIS Living Atlas of the World... there is no need to scrounge for or download data. This means: no pre-processing, less risk of introducing errors, and higher productivity. The Living Atlas offers a wide range of ready-to-use layers, and You have access to the most current data or you can even find historical data. So, you can get the content you need, and you can make it your own. Finally, you can use the Living Atlas data with raster functions to take advantage of in-memory processing, so you can avoid redundant data and see immediate results.
- We hope you’ll agree that using the Living Atlas data can help make your raster analysis faster and easier than ever before.