[HTML][HTML] Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring
Monitoring the Earth by annually map** land cover (LC) fractions helps to better
understand the ongoing processes and changes of land use and land management. At 10 to …
understand the ongoing processes and changes of land use and land management. At 10 to …
Accurate surface water detection and map** using Remote Sensing (RS) imagery is
crucial for effective water and flood management and for supporting natural ecosystems and …
crucial for effective water and flood management and for supporting natural ecosystems and …
Building detection in VHR remote sensing images using a novel dual attention residual-based U-Net (DAttResU-Net): An application to generating building change …
In today's era, increasing access to very high-resolution remote sensing images (VHR-RSIs)
has enhanced building detection and change assessment capabilities. These applications …
has enhanced building detection and change assessment capabilities. These applications …
A novel flood/water extraction index (FWEI) for identifying water and flooded areas using sentinel-2 visible and near-infrared spectral bands
Accurate assessment of surface water from satellite and remote sensing data plays an
important role in water and flood management and supporting natural ecosystems and …
important role in water and flood management and supporting natural ecosystems and …
Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification …
Flooding is one of the most severe natural hazards, causing widespread environmental,
economic, and social disruption. If not managed properly, it can lead to human losses …
economic, and social disruption. If not managed properly, it can lead to human losses …
Building Extraction on SegFormer Model and Post Processing from Remote Sensing Images
D Li, H Wang, L Yan - 2024 - researchsquare.com
Most of the traditional methods are based on remote sensing feature classification
technology, which uses different classification methods to extract specific feature types, but …
technology, which uses different classification methods to extract specific feature types, but …