Assessment of the usability of SAR and optical satellite data for monitoring spatio-temporal changes in surface water: Bodrog river case study
Mapping watercourses and their surroundings through remote sensing methods is a fast,
continuous, and effective method and is a crucial tool for capturing change and possibly …
continuous, and effective method and is a crucial tool for capturing change and possibly …
[HTML][HTML] Incidence Angle Normalization of C-Band Radar Backscattering Coefficient over Agricultural Surfaces Using Dynamic Cosine Method
The radar-backscattering coefficient (σ0) depends on surface characteristics and
instrumental parameters (wavelength, polarization, and incidence angle). For Sentinel-1 …
instrumental parameters (wavelength, polarization, and incidence angle). For Sentinel-1 …
Sentinel-1 Response to Canopy Moisture in Mediterranean Forests before and after Fire Events
This study investigates the sensibility of Sentinel-1 C-band backscatter to the moisture
content of tree canopies over an area of about 500 km2 in north-western Portugal, with …
content of tree canopies over an area of about 500 km2 in north-western Portugal, with …
Wet snow detection using dual-polarized Sentinel-1 SAR time series data considering different land categories
C Liu, Z Li, P Zhang, L Huang, Z Li, S Gao - Geocarto International, 2022 - Taylor & Francis
Snowmelt is a natural water resource, and its distribution is essential for understanding
regional climate change and hydrological cycle. In this study, using dual-polarized C-band …
regional climate change and hydrological cycle. In this study, using dual-polarized C-band …
Tracking burned area progression in an unsupervised manner using Sentinel-1 SAR data in Google Earth Engine
D Paluba, LG Papale, J Laštovička… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The frequency of wildfires is increasing worldwide, contributing to a third of forest loss over
the last two decades. Tracking burned area progression using traditional optical remote …
the last two decades. Tracking burned area progression using traditional optical remote …
Land cover mapping from colorized CORONA archived greyscale satellite data and feature extraction classification
A Agapiou - Land, 2021 - mdpi.com
Land cover mapping is often performed via satellite or aerial multispectral/hyperspectral
datasets. This paper explores new potentials for the characterisation of land cover from …
datasets. This paper explores new potentials for the characterisation of land cover from …
Estimating high-resolution snow depth over the North Hemisphere mountains utilizing active microwave backscatter and machine learning
While ground meteorological stations provide accurate snow depth data, their limited spatial
coverage results in observational gaps. Satellites offer long-term, large-scale observations …
coverage results in observational gaps. Satellites offer long-term, large-scale observations …
Estimating optical vegetation indices with Sentinel-1 SAR data and AutoML
Current optical vegetation indices (VIs) for monitoring forest ecosystems are widely used in
various applications. However, continuous monitoring based on optical satellite data can be …
various applications. However, continuous monitoring based on optical satellite data can be …
Application of Persistent Scatterer Interferometry to monitor land motion along radar line of sight in landslide-prone areas of Himachal Pradesh, India
Landslides in mountainous regions are often triggered by vertical land movements induced
by tectonics or seismic activities, emphasizing the importance of monitoring such motions for …
by tectonics or seismic activities, emphasizing the importance of monitoring such motions for …
Automatic forest cover classification using Sentinel-2 multispectral satellite data and machine learning algorithms in Google Earth Engine
K Onačillová, V Krištofová… - Acta Geographica …, 2023 - publications.cuni.cz
Forest cover plays an essential role in maintaining ecological equilibrium, mitigating climate
change, and securing a sustainable future for both humanity and the planet. Most countries …
change, and securing a sustainable future for both humanity and the planet. Most countries …