Results 21 to 30 of about 23,541,003 (316)
River ice monitoring of the Danube and Tisza rivers using Sentinel-1 radar data [PDF]
Geographica Pannonica, 2022 Due to extreme weather, occasionally Hungary's main rivers and lakes grow an ice cover causing severe damage to infrastructure and increased flood hazard.
van Leeuwen Boudewijn +4 more
doaj +1 more source
Remote Sensing, 2022 PlanetScope (PL) high-resolution composite base maps have recently become available within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between Google and the Norway’s International Climate and Forest Initiative (NICFI ...
Marco Vizzari
semanticscholar +1 more source
Identifikasi Genangan Banjir di Wilayah DKI Jakarta Menggunakan Citra Satelit Sentinel-1
Journal of Geospatial Information Science and Engineering, 2021 Provinsi DKI Jakarta merupakan wilayah dengan karakteristik topografi yang berada pada kemiringan lereng relatif landai dan terletak pada dataran rendah. Hal ini menyebabkan wilayah Jakarta menjadi semakin rentan tergenang air dan banjir pada musim hujan.
Ana Mardhiyana Alawiyah +1 more
doaj +1 more source
Remote Sensing, 2020 This study investigates the spatial signatures of seasonal snow in Synthetic Aperture Radar (SAR) observations at different spatial scales and for different physiographic regions. Sentinel-1 C-band (SAR) backscattering coefficients (BSC) were analyzed in
Surendar Manickam, Ana Barros
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In this study, the effectiveness of several convolutional neural network architectures (AlbuNet-34/FCN/DeepLabV3+/U-Net/U-Net++) for water and flood mapping using Sentinel-1 amplitude data is compared to an operational rule-based processor (S-1FS).
Max Helleis +4 more
semanticscholar +1 more source
Multi-Temporal Sentinel-1 Backscatter and Coherence for Rainforest Mapping
Remote Sensing, 2020 This paper reports recent advancements in the field of Synthetic Aperture Radar (SAR) for forest mapping by using interferometric short-time-series.
Andrea Pulella +4 more
doaj +1 more source
Global seasonal Sentinel-1 interferometric coherence and backscatter data set
Scientific Data, 2022 This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures.
J. Kellndorfer +8 more
semanticscholar +1 more source
Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube
Remote Sensing, 2022 Spaceborne Synthetic Aperture Radar (SAR) are well-established systems for flood mapping, thanks to their high sensitivity towards water surfaces and their independence from daylight and cloud cover.
B. Bauer-Marschallinger +7 more
semanticscholar +1 more source
ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Soil moisture is a vital parameter for environmental research such as agriculture, hydrology, natural resources, environmental hazards, etc. It is essential to have timely soil moisture maps prepared with high accuracy, speed, and low cost. Therefore, in
R. Esmaeili Sarteshnizi +2 more
doaj +1 more source
Remote Sensing, 2022 The annual flood and the alteration in hydrological regimes are the most vital concerns in the Vietnamese Mekong Delta (VMD). Although synthetic aperture radar (SAR) Sentinel-1 imagery is widely used for water management, only a few studies have used ...
Khuong H. Tran, M. Menenti, L. Jia
semanticscholar +1 more source