Results 31 to 40 of about 524 (137)

Observing Sea Surface Current by Gaofen-3 Satellite Along-Track Interferometric SAR Experimental Mode

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Sea surface current is a research hotspot in oceanography. Space-borne along-track interferometric synthetic aperture radar (along-track InSAR, ATI) is a promising sensor for measuring high-resolution sea surface current field, and there is no ...
Xinzhe Yuan   +6 more
doaj   +1 more source

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

open access: yesEarth 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   +5 more
wiley   +1 more source

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

open access: yesGeocarto 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   +4 more
doaj   +1 more source

Empirical Algorithm for Significant Wave Height Retrieval from Wave Mode Data Provided by the Chinese Satellite Gaofen-3

open access: yesRemote Sensing, 2018
Gaofen-3 (GF-3), the first Chinese civil C-band synthetic aperture radar (SAR), was successfully launched by the China Academy of Space Technology on 10 August 2016.
He Wang   +6 more
doaj   +1 more source

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

open access: yesIEEE 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

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

open access: yesJournal 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

Analysis of polarisation features of typical targets in Chengdu using GF-3 fully polarimetric synthetic aperture radar data

open access: yesThe Journal of Engineering, 2019
The fully polarimetric synthetic aperture radar (SAR) data contain much backscatter intensity information and have great advantage for land monitoring.
Xiaoxia Wang   +4 more
doaj   +1 more source

An Improved Independent Parameter Decomposition Method for Gaofen-3 Surveying and Mapping Calibration

open access: yesRemote Sensing, 2022
The Gaofen-3 (GF-3) satellite can provide digital elevation model (DEM) data from its interferogram outputs. However, the accuracy of these data cannot be ensured without applying a surveying and mapping (SAM) calibration process, thus necessitating ...
Tao Li   +5 more
doaj   +1 more source

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

open access: yesInternational 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   +4 more
wiley   +1 more source

Single Remote Sensing Image Super‐Resolution Based on Real‐World Degradation Model and Deep Generative Adversarial Network

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose a novel method, termed SRDDSAGAN, which is based on a real‐world degradation model (RWDM) and a deep generative adversarial network (SRDSAGAN). The RWDM integrates blur kernels and imaging noise to simulate real‐world imaging conditions, thereby generating more realistic training and testing datasets. The SRDSAGAN incorporates dense sampling
Zhen Yang   +7 more
wiley   +1 more source

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