Results 81 to 90 of about 21,673,318 (217)
Landslide mapping using optical and radar data: a case study from Aminteo, Western Macedonia Greece
European Journal of Remote Sensing, 2020 Landslide mapping is one of the most important steps which take place in the early stages of a landslide survey, contributing to the immediate assessment of slide’s effects.
Aggeliki Kyriou +1 more
doaj +1 more source
Remote Sensing, 2020 This study provides a comparative analysis of two Sentinel-1 and one Sentinel-2 burned area (BA) detection and mapping algorithms over 10 test sites (100 × 100 km) in tropical and sub-tropical Africa.
Mihai A. Tanase +11 more
doaj +1 more source
Super-resolving multiresolution images with band-independant geometry of multispectral pixels [PDF]
arXiv, 2016 A new resolution enhancement method is presented for multispectral and multi-resolution images, such as these provided by the Sentinel-2 satellites. Starting from the highest resolution bands, band-dependent information (reflectance) is separated from information that is common to all bands (geometry of scene elements).
arxiv
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation [PDF]
arXiv, 2021 High resolution remote sensing imagery is used in broad range of tasks, including detection and classification of objects. High-resolution imagery is however expensive, while lower resolution imagery is often freely available and can be used by the public for range of social good applications.
arxiv
Remote Sensing, 2018 The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the ...
Sasan Vafaei +6 more
doaj +1 more source
Remote Sensing, 2020 The forest stock volume (FSV) is one of the key indicators in forestry resource assessments on local, regional, and national scales. To date, scaling up in situ plot-scale measurements across landscapes is still a great challenge in the estimation of ...
Yang Hu +11 more
doaj +1 more source
Self-Configuring nnU-Nets Detect Clouds in Satellite Images [PDF]
arXiv, 2022 Cloud detection is a pivotal satellite image pre-processing step that can be performed both on the ground and on board a satellite to tag useful images. In the latter case, it can help to reduce the amount of data to downlink by pruning the cloudy areas, or to make a satellite more autonomous through data-driven acquisition re-scheduling of the cloudy ...
arxiv
Remote Sensing, 2017 In the frame of the Copernicus programme, ESA has developed and launched the Sentinel-2 optical imaging mission that delivers optical data products designed to feed downstream services mainly related to land monitoring, emergency management and security.
M. Main-Knorn +5 more
semanticscholar +1 more source
Remote Sensing, 2020 Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2 MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land cover (LULC) provide a new perspective in remote sensing data analysis.
M. Chaves, M. Picoli, I. Sanches
semanticscholar +1 more source
Context-Aware Change Detection With Semi-Supervised Learning [PDF]
arXiv, 2023 Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas. While data sources like Sentinel-2 provide rich optical information, they are often hindered by cloud cover, limiting their usage in disaster scenarios.
arxiv