Results 11 to 20 of about 23,541,003 (316)

Sentinel-1 GRD Preprocessing Workflow [PDF]

open access: yes3rd International Electronic Conference on Remote Sensing, 2019
The Copernicus Programme has become the world’s largest space data provider, providing complete, free and open access to satellite data, mainly acquired by Sentinel satellites. Sentinel-1 Synthetic Aperture Radar (SAR) data have improved spatial resolution and high revisit frequency, making them useful for a wide range of applications.
F. Filipponi
openaire   +3 more sources

Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China

open access: yesInternational Journal of Digital Earth, 2023
Accurate monitoring of forest aboveground biomass (AGB) is vital for sustainable forest management. Generally, the AGB is estimated by combining satellite images and field measurements.
Linjing Zhang   +4 more
semanticscholar   +1 more source

Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations

open access: yesGIScience & Remote Sensing, 2023
Bark beetle infestations are among the most substantial forest disturbance agents worldwide. Moreover, as a consequence of global climate change, they have increased in frequency and in the size and number of affected areas.
S. König   +4 more
semanticscholar   +1 more source

Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scars

open access: yesGeomatics, Natural Hazards & Risk, 2023
This research compares the use of the SAR (Sentinel-1) and Optical (Sentinel-2) sensors in identifying and mapping burnt and unburnt scars are rising during a bushfire in southeastern Australia and Margalla Hills, Islamabad, Pakistan, in 2019 and 2020 ...
A. Tariq   +6 more
semanticscholar   +1 more source

Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe

open access: yesNatural Hazards and Earth System Sciences, 2022
. Inundation is one of the major natural hazards in Europe. The evaluation of the flood hazard and risk is not straightforward mainly due to the monitoring system that is poor or not uniformly distributed in the territory.
A. Tarpanelli, A. Mondini, S. Camici
semanticscholar   +1 more source

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

open access: yesRemote Sensing, 2021
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications.
Adugna G. Mullissa   +7 more
semanticscholar   +1 more source

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein   +7 more
wiley   +1 more source

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images

open access: yesRemote Sensing, 2022
Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images without weather and light constraints, so they are widely applied in the maritime monitoring field.
Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang
semanticscholar   +1 more source

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie   +6 more
wiley   +1 more source

Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region

open access: yesEuropean Journal of Remote Sensing, 2022
This paper aims to develop a supervised classification integrating synthetic aperture radar (SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) mapping in a heterogeneous Mediterranean forest area.
Giandomenico De Luca   +3 more
semanticscholar   +1 more source

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