MULTI-DATE SENTINEL1 SAR IMAGE TEXTURES DISCRIMINATE PERENNIAL AGROFORESTS IN A TROPICAL FOREST-SAVANNAH TRANSITION LANDSCAPE

6 citations as recorded by crossref.

1. Fusion of Sentinel-1 and Sentinel-2 data in mapping the impervious surfaces at city scale B. Shrestha et al. 10.1007/s10661-021-09321-6
2. Cover classifications in wetlands using Sentinel-1 data (Band C): a case study in the Parana river delta, Argentina M. Rajngewerc et al. 10.4995/raet.2022.16915
3. Delineation of Cocoa Agroforests Using Multiseason Sentinel-1 SAR Images: A Low Grey Level Range Reduces Uncertainties in GLCM Texture-Based Mapping. F. Numbisi et al. 10.3390/ijgi8040179
4. Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier B. Shrestha et al. 10.3390/rs13153040
5. 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
6. Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data N. Wiederkehr et al. 10.3390/rs12213512