Gilberto Camara
Gilberto Camara
Selecting high-quality training samples is crucial for enhancing the accuracy of land classification using remote sensing data. A significant challenge in this area is the limited availability of large datasets...
**Describe the requested improvement** One of the challenges of mid-resolution image segmentation using region is that some areas of an image are much more homogenous than others. As a result,...
After producing multi-year maps, it is important to develop transition rules that rule out impossible LUCC conversion (i.e., Clear Cut to Wetland). This could be implemented as a standalone R...