The main objective of this study was to monitor wet snow conditions from Sentinel-1 over a season, examine its variation time by cross-checking with independent and weather estimates, distribution taking into account terrain characteristics such as elevation, orientation, slope. One our motivations derive useful representations daily or seasonal changes that would help easily identify elevation...

Many technical infrastructure operators manage facilities distributed over large areas. They face the problem of finding out if a flood hit specific facility located in open countryside. Physical inspection after every heavy rain is time and personnel consuming, equipping all with detection expensive. Therefore, methods are being sought to ensure that these monitored at minimum cost. One possib...

This paper presents a new approach for detecting deforestation using Sentinel-1 C-band backscattering data. It is based on the temporal analysis of backscatter intensity and its correlation with scattering behavior deforested plots. The variability modeled logistic function, whose lower upper boundaries are, respectively, set representative values forest also enables identification date each ev...

With the improvement in microwave radar technology, spaceborne synthetic aperture (SAR) is widely used to observe tropical cyclone (TC) wind field. Based on European Space Agency Sentinel-1 Interferometric Wide swath (IW) mode imagery, this paper evaluates correlation between vertical transmitting–horizontal receiving (VH) polarization signals and extreme ocean surface speeds (>40 m/s) under...

The U-net is nowadays among the most popular deep learning algorithms for land use/land cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar (SAR) and multispectral (MS) imagery. On other hand, discrimination between plantations forests in LULC maps emphasized, especially tropical areas, due to their differences biodiversity ecosystem services provision. In ...