Suchergebnisse - "Sentinel-1"

Monitoring Vegetation Optical Depth (VOD) using GNSS transmissiometry at the Vielsalm ICOS site
Évaluation de la profondeur optique de la végétation (VOD) à l’aide de la transmissiométrie GNSS sur le site ICOS de Vielsalm

Autoren: Lecart, Benjamin Jonard, François François, Louis

Quelle: ICOS Science conference 2025, Ghent, Belgium [BE], 12/11/25

Schlagwörter: VOD, GNSS-T, ICOS, Vegetation, Fire risk, Water content, Remote sensing, Sentinel-1, Physical, chemical, mathematical & earth Sciences, Earth sciences & physical geography, Physique, chimie, mathématiques & sciences de la terre, Sciences de la terre & géographie physique

Dateibeschreibung: 1

Zugangs-URL: https://orbi.uliege.be/handle/2268/337319

Remote Sensing of Grasslands: Performance Comparison of Radar and Optical Data in Machine Learning Classification

Autoren: K. Christofi C. Chrysostomou I. Tsardanidis et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-G-2025, Pp 295-300 (2025)

Schlagwörter: Technology, Ecosystem Monitoring, Engineering (General). Civil engineering (General), Civil Engineering, TA1501-1820, Remote Sensing, Machine Learning, Grassland Classification, Sentinel-2 Optical Imagery, Sentinel-1 SAR, Engineering and Technology, Applied optics. Photonics, TA1-2040

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/295/2025/
https://doaj.org/article/f4ec390051114c9ebe069193f55747b9
https://hdl.handle.net/20.500.14279/34999
https://api.elsevier.com/content/abstract/scopus_id/105014318964

Sentinel-1 data exploitation for terrain deformation monitoring

Autoren: Krishnakumar, Vrinda

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament de Física

Thesis Advisors: Monserrat, Oriol

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Sentinel-1 (artificial satellite), DInSAR, Interferometry, Deformation, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/675576
https://dx.doi.org/10.5821/dissertation-2117-374138

Mapping of small scale surface water in Denmark – using deep learning, fusing high resolution geo data and Sentinel-1 SAR.

Autoren: Köhn, Simon J. Fernandes, Ana C.M. Fibæk, Casper S. et al.

Quelle: Advances in Space Research. Sep2025, Vol. 76 Issue 5, p2578-2593. 16p.

Schlagwörter: *SYNTHETIC aperture radar, *DEEP learning, *REMOTE-sensing images, *FRESH water, *CLIMATE change, *HYDROLOGY

Geografische Kategorien: DENMARK

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Direct Ocean Tidal Current Measurements From Space: Enhanced Interpretation of Sentinel‐1 Doppler Shift Signals.

Autoren: Hart‐Davis, M. G. Moiseev, A. Bonaduce, A. et al.

Quelle: Geophysical Research Letters. 7/16/2025, Vol. 52 Issue 13, p1-10. 10p.

Schlagwörter: *TIDAL currents, *DOPPLER radar, *OCEAN currents, *REMOTE-sensing images, *OCEAN, *MODEL validation, *DOPPLER effect

Geografische Kategorien: NORTH Sea

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Kharif rice growth and area monitoring in Gosaba CD block of Indian Sundarbans region using multi-temporal dual-pol SAR data.

Autoren: Ghosh, Argha Nanda, Manoj Kumar Sarkar, Debolina et al.

Quelle: Environment, Development & Sustainability. Mar2025, Vol. 27 Issue 3, p6331-6348. 18p.

Schlagwörter: SYNTHETIC aperture radar, PADDY fields, BACKSCATTERING, CROPPING systems, SPATIAL variation

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Enhancing Crop Classification in Emilia-Romagna (Italy) Using Transformer-Based Multi-Source Data Fusion with Thermal Observations

Autoren: Qi Y. Mandanici E. Helmy M. et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-G-2025, Pp 1237-1245 (2025)

Schlagwörter: Technology, Applied optics. Photonics, TA1-2040, Engineering (General). Civil engineering (General), Crop Classification, Deep Learning, Sentinel-1, Sentinel-2, Thermal Data, Transformer, TA1501-1820

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1237/2025/
https://doaj.org/article/295a721a00c844c6b2b8da237d647f55

Enhancing Water Resources Management with Open-Source Remote Sensing: Flood Mapping and Climate Change Insights on Kupa River case area

Autoren: Olga Bjelotomić Oršulić Sanja Šamanović Marko Kovilić et al.

Quelle: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W13-2025, Pp 79-86 (2025)

Schlagwörter: Flood mapping, Technology, Kupa River, Sentinel-1 SAR, Applied optics. Photonics, Sentinel-2 NDVI, TA1-2040, Open-Source Remote Sensing, Google Earth Engine, Engineering (General). Civil engineering (General), TA1501-1820

Dateibeschreibung: application/pdf

Zugangs-URL: https://isprs-archives.copernicus.org/articles/XLVIII-4-W13-2025/79/2025/
https://doaj.org/article/963a8dde97824301a4bc6bf5b8d8ca0f
https://isprs-archives.copernicus.org/articles/XLVIII-4-W13-2025/79/2025/isprs-archives-XLVIII-4-W13-2025-79-2025.html
https://doi.org/10.5194/isprs-archives-xlviii-4-w13-2025-79-2025

Flood inundation and damage assessment of the degraded Semliki River plains using SAR data, Google Earth Engine, and GIS techniques

Autoren: Andrew Mulabbi John Calvin Esagu Gertrude Akello et al.

Quelle: Journal of Degraded and Mining Lands Management, Vol 12, Iss 4, Pp 8379-8390 (2025)

Schlagwörter: google earth engine, flood depth, Environmental effects of industries and plants, flood extent, sentinel-1, semliki, flood impact, TD194-195

Zugangs-URL: https://doaj.org/article/5c2a8cca7ba646abbc33b6a66fd63a6c

Multi-Sensor Satellite Analysis for Landslide Characterization: A Case of Study from Baipaza, Tajikistan.

Autoren: Poggi, Francesco Nardini, Olga Fiaschi, Simone et al.

Quelle: Remote Sensing. Jun2025, Vol. 17 Issue 12, p2003. 25p.

Schlagwörter: *SYNTHETIC aperture radar, *OPTICAL images, *LANDSLIDES, *INTERFEROMETRY, *NINETEEN sixties, *DAMS

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Retrieval of soil moisture associated with incidence angle normalization from Sentinel-1 data over mountainous areas.

Autoren: Liu, Junxuan Tang, Bo-Hui Fan, Dong et al.

Quelle: Remote Sensing Letters. Jun2025, Vol. 16 Issue 6, p596-605. 10p.

Schlagwörter: *STANDARD deviations, *ENVIRONMENTAL monitoring, *SOIL moisture, *EMERGENCY management, *ENVIRONMENTAL disasters

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Environmental risk assessment of the Nile Delta, Egypt, based on radar interferometry, altimetry, and geodetic measurements.

Autoren: Hassan, Soha Saleh, Mohamed Mohamed, Bayoumy et al.

Quelle: Scientific Reports. 6/1/2025, Vol. 15 Issue 1, p1-30. 30p.

Schlagwörter: *GLOBAL Positioning System, *LAND subsidence, *ENVIRONMENTAL risk assessment, *RADAR interferometry, *TIME series analysis

Geografische Kategorien: NILE River Delta (Egypt)

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

On Flood Detection Using Dual-Polarimetric SAR Observation.

Autoren: Kim, Su-Young Lee, Yeji Park, Sang-Eun

Quelle: Remote Sensing. Jun2025, Vol. 17 Issue 11, p1931. 19p.

Schlagwörter: *BODIES of water, *DETECTION algorithms, *SYNTHETIC aperture radar, *MULTISENSOR data fusion, *LAND cover

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Revealing Long-Term Displacement and Evolution of Open-Pit Coal Mines Using SBAS-InSAR and DS-InSAR.

Autoren: Bai, Zechao Zhao, Fuquan Wang, Jiqing et al.

Quelle: Remote Sensing. Jun2025, Vol. 17 Issue 11, p1821. 13p.

Schlagwörter: *SYNTHETIC aperture radar, *COAL mining, *POWER resources, *RADAR interferometry, *LAND subsidence

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements.

Autoren: Xu, Yulei Zhang, Kangyu Jing, Liwei et al.

Quelle: Remote Sensing. May2025, Vol. 17 Issue 10, p1742. 19p.

Schlagwörter: *SYNTHETIC aperture radar, *STANDARD deviations, *WIND speed, *DOPPLER effect, *BACKSCATTERING

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Unveiling the Effects of Crop Rotation on Cropland Soil pH Mapping: A Remote Sensing-Based Soil Sample Grouping Strategy.

Autoren: Liu, Yuan Chen, Songchao Shen, Ge et al.

Quelle: Remote Sensing. May2025, Vol. 17 Issue 9, p1643. 23p.

Schlagwörter: *ORGANIC compound content of soils, *DIGITAL soil mapping, *STANDARD deviations, *SOIL acidification, *SOIL acidity, *CROP rotation

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Long-Term Monitoring of Landslide Activity in a Debris Flow Gully Using SBAS-InSAR: A Case Study of Shawan Gully, China.

Autoren: Zhang, Jianming Zuo, Xiaoqing Zhu, Daming et al.

Quelle: Remote Sensing. May2025, Vol. 17 Issue 9, p1580. 22p.

Schlagwörter: *DEBRIS avalanches, *DEFORMATION of surfaces, *SYNTHETIC aperture radar, *RAINFALL, *LANDSLIDES, *DEFORMATIONS (Mechanics)

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Cloud-Powered Flood Mapping and Impact Assessment: Leveraging Sentinel-1 SAR Imagery for Thailand's Disaster Response.

Autoren: Anucharn, T. Chaikaew, N. Sriprom, T. et al.

Quelle: International Journal of Geoinformatics. May2025, Vol. 21 Issue 5, p95-122. 28p.

Schlagwörter: *BODIES of water, *DETECTION algorithms, *EMERGENCY management, *SYNTHETIC aperture radar, *ZONING, *FLOOD warning systems

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Quantitative evaluation of flood extent detection using attention U-Net case studies from Eastern South Wales Australia in March 2021 and July 2022.

Autoren: Fakhri, Falah Gkanatsios, Ioannis

Quelle: Scientific Reports. Dec2025, Vol. 15 Issue 1, p1-14. 14p.

Schlagwörter: *SURFACE of the earth, *RAINFALL, *WEATHER, *MACHINE learning, *DEEP learning

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)

Rapeseed Area Extraction Based on Time-Series Dual-Polarization Radar Vegetation Indices.

Autoren: Zhu, Yiqing Cao, Hong Wu, Shangrong et al.

Quelle: Remote Sensing. Apr2025, Vol. 17 Issue 8, p1479. 24p.

Schlagwörter: *CROPS, *RAPESEED, *DECOMPOSITION method, *REMOTE sensing, *AGRICULTURAL productivity

Firma/Körperschaft: SENTINEL-1 (Artificial satellite)