Results 1 to 10 of about 20,550 (164)

Sentinel-1A/B Combined Product Geolocation Accuracy [PDF]

open access: yesRemote Sensing, 2017
Sentinel-1A and -1B are twin spaceborne synthetic aperture radar (SAR) sensors developed and operated by the European Space Agency under the auspices of the Copernicus Earth observation programme.
Adrian Schubert   +3 more
doaj   +3 more sources

DEFORMATION MEASUREMENT USING SENTINEL-1A/B IMAGERY [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Land deformation monitoring based on C-band Synthetic Aperture Radar Sentinel-1A/B imagery is the main focus of this paper. This type of data is exploited using a Persistent Scatterer Interferometry technique. The paper describes a deformation monitoring
M. Crosetto   +5 more
doaj   +3 more sources

Integration of Sentinel-1A Radar and SMAP Radiometer for Soil Moisture Retrieval over Vegetated Areas [PDF]

open access: yesSensors
NASA’s Soil Moisture Active Passive (SMAP) was originally designed to combine high-resolution active (radar) and coarse-resolution but highly sensitive passive (radiometer) L-band observations to achieve unprecedented spatial resolution and accuracy for ...
Saeed Arab, Greg Easson, Zahra Ghaffari
doaj   +2 more sources

Combined Sentinel-1A With Sentinel-2A to Estimate Soil Moisture in Farmland [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
In this article, seven filter algorithms were compared. The Lee sigma method was more suitable for estimating soil moisture (SM) than the other filtering methods under different land cover types.
Ying Liu, Jiaxin Qian, Hui Yue
doaj   +2 more sources

Assessing the suitability of data from Sentinel-1A and 2A for crop classification

open access: yesGIScience and Remote Sensing, 2017
Sentinel-1A C-SAR and Sentinel-2A MultiSpectral Instrument (MSI) provide data applicable to the remote identification of crop type. In this study, six crop types (beans, beetroot, grass, maize, potato, and winter wheat) were identified using five C-SAR ...
Hiroshi Tani, Rei Sonobe, Rei Sonobe
exaly   +2 more sources

Improving Urban Land Cover Classification with Combined Use of Sentinel-2 and Sentinel-1 Imagery

open access: yesISPRS International Journal of Geo-Information, 2021
Accurate land cover mapping is important for urban planning and management. Remote sensing data have been widely applied for urban land cover mapping. However, obtaining land cover classification via optical remote sensing data alone is difficult due to ...
Bin Hu   +6 more
doaj   +1 more source

Assessment of Sentinel-1A/B SAR Derived Ocean Wind Speeds against HY-2B Scatterometer in the Presence of Ocean Swells [PDF]

open access: yesE3S Web of Conferences, 2021
Sentinel-1A/B satellites operating in wave mode provide ocean winds dataset on a continuous and global basis. In this study, wind speeds derived from Sentinel-1A/B wave mode imagery from November 2018 to October 2020 are evaluated against HSCAT ...
Wang He, Shi Chaoying, Zhu Jianhua
doaj   +1 more source

Comparative Study on Potential Landslide Identification with ALOS-2 and Sentinel-1A Data in Heavy Forest Reach, Upstream of the Jinsha River

open access: yesRemote Sensing, 2022
Many SAR satellites such as the ALOS-2 satellite and Sentinel-1A satellite can be used in Interferometric Synthetic Aperture Radar (InSAR) to identify landslides. As their wavelengths are different, they can perform differently in the same area.
Chen Cao   +6 more
doaj   +1 more source

DInSAR Monitoring of Surface Subsidence by Fusing Sentinel-1A and -1B Data to Improve Time Resolution in a Mining Area

open access: yesCanadian Journal of Remote Sensing, 2021
Monitoring large gradient ground deformation due to temporal and spatial image decoherence has long been a challenge. We attempted an improvement using Sentinel-1A and Sentinel-1B C-band data fusion methods based on the variation law of subsidence ...
Xugang Lian   +4 more
doaj   +1 more source

Glacier Mass Balance in the Manas River Using Ascending and Descending Pass of Sentinel 1A/1B Data and SRTM DEM

open access: yesRemote Sensing, 2022
Mountain glaciers monitoring is important for water resource management and climate changes but is limited by the lack of a high-quality Digital Elevation Model (DEM) and field measurements.
Lili Yan, Jian Wang, Donghang Shao
doaj   +1 more source

Home - About - Disclaimer - Privacy