Yield prediction based on the vegetation index ESVI in Argentina
We use Sentinel-1 SAR data and generate a vegetation index out of it. This vegetation index ESVI can be transformed directly and precisely in yield for various field crops. We don’t need additional data like weather or soil data.
The full article you find here.
Yield prediction for arable crops based on ESVI
For a region in Germany / Thuringia we modelled the yield for arable crops like wheat, barley and rapeseed based on #Sentinel-1 #SAR data.
The full article you may find here.
Sentinel-1 SAR data to visualize the growth-dynamic in cropland
From Slovakia we show examples for monitoring the growht-dynamic with #Sentinel-1 #SAR data.
The full article you may find here.
New showcase for California in iMap
A new showcase in iMap presenting our popular map products like #ESVI (enhanced SAR Vegetation Index), #SWI (SAR Water Index), #CC (pseudo-true Color Composite), #EVO (Evolution) a color composite over a period of 3 succeeding acquisitions based on ESVI and #GCB (Gradual Change of Biomass), which is a map product that shows the recent change based on ESVI.
The full article you find here.
Forest fires in the Gironde region in France
We used #Sentinel-1 #SAR data and here our vegetation index #ESVI to demonstrate that the detected footprint compares very well with optical infrared data from #FIRMS. Occasionally it may happen, that optical data is disturbed by dense smoke. Despite to that SAR can penetrate aerosols and clearly indicate the destroyed area.
You can download the article.