Snow cover estimation from MODIS and Sentinel-1 SAR data using machine learning algorithms in the western part of the Tianshan Mountains
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mountain Science"
DOI: 10.1007/s11629-019-5723-1
Abstract: Obtaining the spatial distribution of snow cover in mountainous areas using the optical image of remote sensing technology is difficult because of cloud and fog. In this study, the object-based principle component analysis-support vector machine… read more here.
Keywords: tianshan mountains; western part; sentinel sar; snow cover ... See more keywords
Development and validation of an ocean wave retrieval algorithm for VV-polarization Sentinel-1 SAR data
Sign Up to like & getrecommendations! Published in 2017 at "Acta Oceanologica Sinica"
DOI: 10.1007/s13131-017-1089-9
Abstract: The purpose is to study the accuracy of ocean wave parameters retrieved from C-band VV-polarization Sentinel-1 Synthetic Aperture Radar (SAR) images, including both significant wave height (SWH) and mean wave period (MWP), which are both… read more here.
Keywords: polarization sentinel; ocean wave; sentinel sar; sar ... See more keywords
A deep convolutional neural network for burn progression mapping using Sentinel-1 SAR time-series
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2197131
Abstract: ABSTRACT Forest fires burn various natural ecosystems worldwide and can harm the environment and human life. Accordingly, real-time monitoring of this phenomenon and early decision-making warning is vital. Active remote sensing systems, such as Synthetic… read more here.
Keywords: cnn; burn progression; sentinel sar;
Unsupervised mapping of rice paddy fields and their inundation patterns using Sentinel-1 SAR images and GIS
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2025.2484711
Abstract: ABSTRACT The periodic flooding of rice paddies presents significant environmental challenges, including methane emissions, fertilizer pollution, and water resource stress. This study introduces a scalable approach using high-resolution (10 m) Sentinel-1 SAR imagery and Global Surface… read more here.
Keywords: rice; rice paddy; sentinel sar; rice paddies ... See more keywords
Improving Sentinel-3 SAR Mode Processing Over Lake Using Numerical Simulations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3137034
Abstract: Access to fresh water is a key issue for the next decades in the context of global warming. The water level of lakes is a fundamental variable that needs to be monitored for this purpose.… read more here.
Keywords: mode processing; processing lake; improving sentinel; sentinel ... See more keywords
An Electromagnetic Simulator for Sentinel-3 SAR Altimeter Waveforms Over Land—Part II: Forests
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3210722
Abstract: Forests play a crucial role in the climate change mitigation by acting as sinks for carbon and, consequently, reducing the CO2 concentration in the atmosphere and slowing global warming. For this reason, above ground biomass… read more here.
Keywords: electromagnetic simulator; sentinel sar; simulator; vegetation ... See more keywords
Improving crop classification accuracy using Sentinel-1 C-SAR data and GAN-generated optical images
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.19.024505
Abstract: Abstract. We improve the classification accuracy for cultivated crops using Sentinel-1 C- SAR data by combining the backscatter coefficients of vertical–horizontal and vertical–vertical polarizations and their polarization ratio with optical images (true-color and infrared-color images)… read more here.
Keywords: classification accuracy; using sentinel; accuracy; sar data ... See more keywords
AI-Based Mapping of Offshore Wind Energy Around the Korean Peninsula Using Sentinel-1 SAR and Numerical Weather Prediction Data
Sign Up to like & getrecommendations! Published in 2025 at "Energies"
DOI: 10.3390/en18236252
Abstract: Offshore wind farm projects are being promoted in the seas surrounding the Korean Peninsula to secure renewable energy. To support site selection, offshore wind resource maps were generated using deep neural networks trained on Sentinel-1… read more here.
Keywords: energy; offshore wind; numerical weather; korean peninsula ... See more keywords