COMBINED ANALYSIS OF SENTINEL-1 AND RAPIDEYE DATA FOR IMPROVED CROP TYPE CLASSIFICATION: AN EARLY SEASON APPROACH FOR RAPESEED AND CEREALS

5 citations as recorded by crossref.

1. Classification of Crops and Crop Rotation Using Remote Sensing and GIS-Based Approach: A Case Study of Doddakawalande Hobli, Nanjangudu Taluk J. Jayanth et al. 10.1007/s12524-020-01296-0
2. Semantic segmentation of satellite images for crop type identification in smallholder farms P. Buttar & M. Sachan 10.1007/s11227-023-05533-4
3. Multi-Data Approach for remote sensing-based regional crop rotation mapping: A case study for the Rur catchment, Germany G. Waldhoff et al. 10.1016/j.jag.2017.04.009
4. Crop type classification using a combination of optical and radar remote sensing data: a review A. Orynbaikyzy et al. 10.1080/01431161.2019.1569791
5. Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia B. Tuvdendorj et al. 10.3390/rs14081830