dida publishes paper about Early Crop Classification (Deep Learning in Remote Sensing)

March 7th, 2023The authors Frank Weilandt, Lorenz Richter, Tiago Sanona, and Jona Welsch from dida published a paper about the early classification of crops using satellite data together with our cooperation partner FERN.Lab, GFZ Potsdam. The classification of crops is a well-known problem in Remote Sensing and is the basis for applications in public and private sector like yield forecasts. The paper presents a deep learning based method. This method allows predictions at arbitrary time points during the year with a single model, as well as the seamless combination (fusion) of different data sources (e.g. The findings in this paper are based on research from the cooperation project "CropClass" with FERN.Lab.