Results 61 to 70 of about 13,268,437 (192)

Correction of Non‐Geophysical Errors in SAR Doppler Shift for Ocean Surface Current Retrieval

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract Synthetic aperture radar (SAR) data contains Doppler information on ocean surface movement, and the Doppler centroid anomaly (DCA) can be used to quantitatively retrieve ocean surface currents in the line‐of‐sight of radar. However, non‐geophysical errors (NGE) in Doppler information significantly affect retrieval accuracy. Generally, existing
Wenjia Zhao, Yawei Zhao, Yongsheng Xu, Yanlei Du, Xiaolan Qiu, Jinsong Chong   +5 more
wiley   +1 more source

A Two-Stage Strategy for Retrieving 2-D Ocean Wave Spectra From Chinese Gaofen-3 SAR Wave Mode Products

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic aperture radar (SAR) is widely used for observing sea surfaces and retrieving 2-D wave spectra. However, existing methods for retrieving directional wave spectra from SAR imagettes face challenges due to the complex nonlinear SAR-wave imaging ...
Yuxin Fang, Chenqing Fan, R. Cao, J. Meng, Jie Zhang, Qiushuang Yan   +5 more
semanticscholar   +1 more source

GIS and SWMM‐Integrated Multi‐Indicator Fuzzy Assessment for Urban Flood Risk in Chengdu

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Effective assessment of urban flood risk is essential for decision‐making under mixed and uncertain information conditions. This study proposes a multi‐indicator hesitant fuzzy assessment framework integrating hazard, exposure, and vulnerability.
Mingxia Lu, Ting Ni, Jiuping Xu
wiley   +1 more source

Automatic Extraction of Green Tide From GF-3 SAR Images Based on Feature Selection and Deep Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Efficient and accurate monitoring of green tide is of great significance to marine disaster prevention and marine environment protection. A method is proposed in this article for the automatic extraction of the green tide from Chinese Gaofen-3 (GF-3 ...
Haifei Yu, Changying Wang, Jinhua Li, Yi Sui   +3 more
semanticscholar   +1 more source

Exploring the Links Between Variations in Snow Cover Area and Climatic Variables Across the Upper Indus Basin Under a Changing Climate

International Journal of Climatology, Volume 46, Issue 2, February 2026.
Google Earth Engine was utilised to assess snow cover area (SCA) across eight Upper Indus Basin (UIB) subbasins, employing ARIMA for prediction and comparing MODIS datasets using Dunn's test. Spatiotemporal changes were analysed using MK, Sen's slope, and other statistical tests.
Hafsa Muzammal, Muhammad Zaman, Jaehak Jeong, Kashif Mehmood, Syed Aftab Wajid   +4 more
wiley   +1 more source

PRELIMINARY GAOFEN-3 INSAR DEM ACCURACY ANALYSIS

, 2018
GF-3 satellite, the first C band and full-polarization SAR satellite of China with spatial resolution of 1 m, was successfully launched in August 2016.
X. Zhang, T. Li, X. Gao, Q. Chen, X. Tang   +4 more
core   +1 more source

Lithology classification integrating multi-source remote sensing data after vegetation suppression: a case study from Inner Mongolia Autonomous Region, China

Geocarto International
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, Ling Han, Junfeng Wang, Liangzhi Li, Zhaode Xia   +4 more
doaj   +1 more source

Mosaicking and Correction Method of Gaofen-3 ScanSAR Images in Coastal Areas with Subswath Overlap Range Constraints

Journal of Marine Science and Engineering
The ScanSAR mode image obtained by the Gaofen-3 (GF-3) satellite has an imaging width of up to 130–500 km, which is of great significance in monitoring oceanography, meteorology, water conservancy, and transportation.
Jiajun Wang, Guowang Jin, X. Xiong, Jiahao Li, Hao Ye, He Yang   +5 more
semanticscholar   +1 more source

An Adaptive GaoFen-3 SAR Wind Field Retrieval Algorithm Based on Information Entropy

IEEE Access, 2020
Chinese GaoFen-3 (GF-3) synthetic aperture radar (SAR) imagery acquired in standard strip mode can capture streak features caused by wind over the sea surface, which are commonly known as wind streaks.
Kehai Chen, Xuetong Xie, Mingsen Lin
doaj   +1 more source

Learning to Optimise FISTA‐PnP for Sparse Radar Imaging

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao, Yuliang Zheng, Kuoye Han, Ye Tian, Bingo Wing–Kuen Ling, Zhe Zhang, Xiaoshuai Pei, Zhihong Zhang   +7 more
wiley   +1 more source