Results 1 to 10 of about 507 (136)
Evaluation of wave retrieval for Chinese Gaofen-3 synthetic aperture radar
Geo-Spatial Information Science, 2022 The goal of this study was to investigate the performance of a spectral-transformation wave retrieval algorithm and confirm the accuracy of wave retrieval from C-band Chinese Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) images.
Weizeng Shao, Yuyi Hu, Armando Marino
exaly +2 more sources
Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation. [PDF]
Glob Chang BiolThis paper discusses the evolution and revolution of Earth observation for evapotranspiration (ET), as we advanced from the first Landsat satellite and development of ET models through the progression of increasingly higher resolution across international space agencies and commercial industry with increasing ET model sophistication, cloud computing ...
Fisher JB +6 more
europepmc +2 more sources
Improvement of Gaofen-3 Absolute Positioning Accuracy Based on Cross-Calibration
Sensors, 2017 The Chinese Gaofen-3 (GF-3) mission was launched in August 2016, equipped with a full polarimetric synthetic aperture radar (SAR) sensor in the C-band, with a resolution of up to 1 m.
Mingjun Deng, Guo Zhang, Ruishan Zhao
exaly +3 more sources
Climate Change and Topography Drive the Expansion of <i>Betula ermanii</i> in the Alpine Treeline Ecotone of the Changbai Mountain. [PDF]
Ecol EvolOver the past 20 years, the expansion rate of Betula ermanii in the alpine ecotone of Changbai Mountain varied with mountain aspects. We found that interactions between climate and topographic factors played a more significant role in B. ermanii's expansion than any single dominant factor.
Chen Y +10 more
europepmc +2 more sources
International Journal of Digital Earth, 2023 Deep learning algorithms show good prospects for remote sensing flood monitoring. They mostly rely on huge amounts of labeled data. However, there is a lack of available labeled data in actual needs.
Yuwei Zhang +5 more
doaj +1 more source
Object-Level Semantic Segmentation on the High-Resolution Gaofen-3 FUSAR-Map Dataset
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. The conventional task of PolSAR classification is single-pixel-based region-level classification using polarimetric target ...
Xianzheng Shi +4 more
doaj +1 more source
China's Gaofen-3 Satellite System and Its Application and Prospect
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The Gaofen-3 (GF-3) satellite is China's first civilian quad-polarized C-band imaging microwave satellite that can provide high-resolution marine and land observations. Also, it is China's first low Earth orbit remote sensing satellite with
Liangbo Zhao +6 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Soil moisture is a key parameter affecting crop growth. Gaofen-3 satellite is the first C-band synthetic aperture radar produced by China, which provides full-polarization data sources for soil moisture estimation. This article evaluated the potential of
Linlin Zhang +4 more
doaj +1 more source
Geo-spatial Information Science, 2022 After mastering the key technologies of manufacturing spaceborne Synthetic Aperture Radar (SAR), China’s SAR satellites have been successfully launched into space.
Guo Zhang +9 more
doaj +1 more source
Sensors, 2018 The Gaofen-3 (GF-3) data processor was developed as a workstation-based GF-3 synthetic aperture radar (SAR) data processing system. The processor consists of two vital subsystems of the GF-3 ground segment, which are referred to as data ingesting ...
Bing Han +6 more
doaj +1 more source