OBJECT-BASED FOREST CHANGE DETECTION USING HIGH RESOLUTION SATELLITE IMAGES

7 citations as recorded by crossref.

1. Automated retrieval of forest structure variables based on multi-scale texture analysis of VHR satellite imagery B. Beguet et al. 10.1016/j.isprsjprs.2014.07.008
2. Exchanging Dual-Encoder–Decoder: A New Strategy for Change Detection With Semantic Guidance and Spatial Localization S. Zhao et al. 10.1109/TGRS.2023.3327780
3. The Effect of Spatial Scale on the Prediction of Tropical Forest Attributes from Image Texture J. Gallardo-Cruz et al. 10.1155/2024/7178211
4. Forest Cover Change Monitoring Using Sub-Pixel Mapping with Edge-Matching Correction S. Xia et al. 10.3390/f14091776
5. A Sentinel-1 Based Processing Chain for Detection of Cyclonic Flood Impacts C. Alexandre et al. 10.3390/rs12020252
6. A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data D. Scharvogel et al. 10.3390/f11121239
7. Object-based characterization of vegetation heterogeneity with sentinel images proves efficient in a highly human-influenced National Park of Côte d’Ivoire S. Houphlet et al. 10.1007/s10661-022-10792-4