Results 91 to 100 of about 13,257,208 (171)
GaoFen-3 (GF-3) is the first Chinese civilian multi-polarization synthetic aperture radar (SAR) satellite, launched on 10 August of 2016, and put into operation at the end of January 2017.
Zezhong Wang +3 more
doaj +1 more source
Asymmetry of Cyclonic Sea Surface Wind and Wave Observed by SAR
Abstract CyclObs‐derived wind and SWH field are extracted from over 600 dual‐polarized Sentinel‐1 (S‐1) images of around 300 tropical cyclones (TCs) over the past eight years to investigate asymmetry of wind and wave fields during TCs. Fetch analysis and machine learning technique, eXtreme Gradient Boosting (XGBoost), is used to establish a ...
Weizeng Shao +4 more
wiley +1 more source
Cross-sensor cropland mapping: evaluating Chinese satellites and Sentinel-2 in the Nile Delta
Expanding the global application of Chinese Earth Observation satellites (CEOSs) data can enhance Earth observation capabilities, especially in data-scarce regions.
Zihang Lou +12 more
doaj +1 more source
Abstract Satellite‐based estimates of fossil fuel carbon dioxide (FFCO2) emissions are crucial for global stocktaking but are limited by sparse coverage. As nitrogen dioxide (NO2) observations can enhance CO2 emission estimates, we use NO2 observations from twin polar‐orbiting satellites (GaoFen‐5B and DaQi‐1) to constrain carbon emission estimates ...
Tianyi Xu, Chengxin Zhang, Cheng Liu
wiley +1 more source
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean
Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean ...
Xing-Wei Jiang +5 more
core +1 more source
Comprehensive Analysis of Bias in TEMPO NO2 Column Densities Through Pandora Observations
Abstract Tropospheric Emissions: Monitoring of Pollution (TEMPO) is the first geostationary satellite instrument to monitor air pollutants across North America. This study uses Pandora observations to analyze the bias in TEMPO Level‐3 total column density of NO2 (TOTNO2) from August 2023 to December 2024.
Masoud Ghahremanloo +10 more
wiley +1 more source
International audienceThis research utilized “GaoFen-1” 2 m panchromatic, 8 m and 16 m multispectral satellite data to monitor the planting area of winter wheat.
Jiao, Weijie +3 more
core +1 more source
Reducing vegetation disturbance in remote sensing images enhances lithology classification accuracy. This study utilized Gaofen-2 (GF-2), Sentinel-2A, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Gaofen-3 (GF-3) satellite ...
Jiaxin Lu +4 more
doaj +1 more source
The accurate estimation of forest aboveground biomass is of great significance for forest management and carbon balance monitoring. Remote sensing instruments have been widely applied in forest parameters inversion with wide coverage and high ...
Xin Tian +4 more
doaj +1 more source
Accurate and timely acquisition of soil information is crucial for precision agriculture, food security, and environmental protection. Proximal visible near-infrared reflectance (vis–NIR) spectroscopy has been widely employed for rapid and accurate soil ...
Dongyun Xu +4 more
doaj +1 more source

