A new publication lead by Duccio Rocchini has been published in Ecological Indicators titled “Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study“. This publication stressed the challenges to assess biodiversity from in-situ data and encourages to explore novel approaches to compute diversity measures. Remote Sensing can achieve that while covering large areas over a short period of time and thus allows to map diversity hotspots from space-borne systems. read more here:
New Publication on the Importance of Coupling Machine Learning with Crop Modeling for Accurate Crop Yield Predictions in Bavaria
Is it essential to couple machine learning with crop growth models for accurate predictions of crop yields using satellite remote sensing? Our new publication, “Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed...
