Crop classification of modern agricultural park based on time-series Sentinel-2 images

Zhang Dongyan

By analyzing the time-series curves of the four characteristic indexes of NDVI, RVI, EVI and Ref (NIR) in the study area, a total of four classification methods including Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and Maximum Likelihood (ML) were used to classify various crops in the study area. The RF results were compared with the classification results of DT, SVM and ML, and the spatial distribution of major crops such as rice, corn, stevia, dry rice and soybean were successfully extracted and identified.




Open Atlas, how it works

Find an algorithm

Contact the author

Create a partnership

Endless opportunities