Satellite Image Crop Yield. Tial yield as given by genetics and actual crop yield as measured in a harvest 20 5. Both calibrated and uncalibrated satellite yields capture roughly half of the variance in fp yields on pure stand plots 0 1 hectare a very promising finding that one could have.
In 2013 david lobell published a paper in which he uti lized modis satellite images to measure and analyze crop yield gaps the difference between the potential yield and the actual yield. The company s yield estimates use machine learning to combine daily satellite imagery weather and crop conditions reports. Published on august 17 2017 this is an age of big data.
This signals substantial sub plot yield variability even on small plots and how difficult it still is to get accurate yield measures using sub plot crop cutting.
Yield gap profiles based on multiple years of satellite data provide a useful measure of how persistent yield controlling factors are through time. For example satellite data is being harnessed by researchers at the university of illinois for a more complete picture of cropland and to estimate crop yield in the u s. Highlights satellite data can help overcome spatial and temporal scaling issues that challenge simulation and experiment based analyses of yield gaps. Tial yield as given by genetics and actual crop yield as measured in a harvest 20 5.