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D a t a S c i e n c e S y m p o s i u m 2 0 1 9
Near real-time monitoring of Dutch
floodplain vegetation
Christine Rogers
DataScienceSymposium2019
2
Monitoring River
Floodplain Vegetation
• 500 km
• 12000 land owners
• Where should vegetation
management efforts be
focused to reduce flood
risk?
DataScienceSymposium2019
3
Photointerpretation Maps
• Produced every 6 years
Water
Built/paved
Grass/fields
Herbaceous
Forest
Shrubs
Water Built/paved Grasslands and fields
Herbaceous vegetation Forest Shrubs
Landcover classes
DataScienceSymposium2019
4
DataScienceSymposium2019
5
Roughness
0 5 10 15 20 25 30
Water
Built/paved
Grass/fields
Herbaceous
Forest
Shrubs
Roughness Value
Water Built/paved Grass/fields Herbaceous Forest Shrubs
Class
DataScienceSymposium2019
6
Sentinel-2 data
March 2017
DataScienceSymposium2019
7
Classified Maps
Water
Built/paved
Grass/fields
Herbaceous
Forest
Shrubs
DataScienceSymposium2019
8
https://vegetatiemonitor.netlify.com/
Water
Built/paved
Grass/fields
Herbaceous
Forest
Shrubs
DataScienceSymposium2019
9
Team
Ellis Penning
Project Leader
Gertjan Geerling
Senior Researcher
Valesca Harezlak
Researcher
Gennadii Donchyts
Google Earth Engine,
Full stack
Christine Rogers
Google Earth Engine,
Back end
Robyn Gwee
Google Earth Engine
Cindy van de Vries-Safavi Nic
Front end
Fedor Baart
Front end
Bart Adriaanse
Front end
DataScienceSymposium2019
10
Google Earth Engine
https://earthengine.google.com/
• > 600 public datasets
• > 4000 images added
daily
• > 29 petabytes of data
+ 1 PB/month
• Upload your own vector
and raster data
• Tensorflow integration
DataScienceSymposium2019
11
Input Data
Landsat 5, 7, 8 (1984-Present) Sentinel-2 (2015-Present)
AHN 0.5m DEM Photo interpretation maps
2013-07-21
2017-08-29
2017-08-29
DataScienceSymposium2019
12
Stratified Sampling + Random Forest
DataScienceSymposium2019
13
Validation Accuracy
0 Water
1 Built/paved
2 Grass/fields
3 Herbaceous
4 Forest
5 Shrubs
2017 – 86%
PredictedClass
Actual Class
DataScienceSymposium2019
14
Water
Built/paved
Grass/fields
Herbaceous
Forest
Shrubs
DataScienceSymposium2019
15
Increase
Decrease
Roughness
DataScienceSymposium2019
16
Check per owner, download data
DataScienceSymposium2019
17
Vegetatiemonitor
• Machine Learning applied to 35
years of satellite data
• Provides accurate measure of
current vegetation
• Assists in discussions with
stakeholders
• Google Earth Engine – many other
possibilities!
DSD-INT 2019 Near real-time monitoring of Dutch floodplain vegetation - Rogers

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