Both remote sensing and image processing are essential for GIS, as they can provide data that is otherwise inaccessible, difficult, or costly to obtain. Add your perspective Help others by sharing ...

This is aimed at tracking river fluxes using remote sensing data by use of mass-conserved flow law inversion (McFLI) technique. With the development of SWOT, which is likely to be launched in 2021, ...

GIS stands for geographic information system, a technology that allows you to store, manipulate, analyze, and visualize spatial data. Remote sensing is the process of acquiring information about ...

Based on this method, ... in the pre- and post-quake rainfall thresholds for debris flows under the influence of different seismic intensities based on the debris flow records in the affected areas of ...

In the Andean foothills and mountain range at the latitude of the city of Santiago, due to urban growth, landslides have been the most frequent geological-geomorphological hazard affecting the ...

🌍 Random Forest-Based Land Cover Classification using LISS-IV Remote Sensing Data. This project demonstrates Random Forest-based land cover classification using LISS-IV remote sensing data. The ...

Large-scale crop mapping not only requires high-quality remote sensing data, but also has high requirements for multisource data organization and interpretation. How to make full use of multisource ...