SOYBEAN CROPLAND MAPPING USING MULTI-TEMPORAL SENTINEL-1 DATA

6 citations as recorded by crossref.

1. Assessment of Multi-Date Sentinel-1 Polarizations and GLCM Texture Features Capacity for Onion and Sunflower Classification in an Irrigated Valley: An Object Level Approach G. Caballero et al. 10.3390/agronomy10060845
2. Improvement of Sentinel-1 Remote Sensing Data Classification by DWT and PCA O. Charfi Marrakchi et al. 10.1155/2021/8897303
3. Assessment of interferometric coherence contribution to corn and soybean mapping with Sentinel-1 data time series S. Amherdt et al. 10.1080/10106049.2022.2144472
4. Object-based machine learning approach for soybean mapping using temporal sentinel-1/sentinel-2 data M. Kumari et al. 10.1080/10106049.2021.1952314
5. Spatial distribution of inter- and intra-crop variability using time-weighted dynamic time warping analysis from Sentinel-1 datasets S. Moharana et al. 10.1016/j.rsase.2021.100630
6. Synergistic Use of Radar and Optical Satellite Data for Improved Monsoon Cropland Mapping in India A. Qadir & P. Mondal 10.3390/rs12030522