Results 21 to 30 of about 524 (137)

Wave retrieval from quad-polarized Chinese Gaofen-3 SAR image using an improved tilt modulation transfer function

Geo-spatial Information Science
An accurate Modulation Transfer Function (MTF) is essential for Synthetic Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the performance of a quad-polarized wave retrieval algorithm based on fully polarimetric SAR image data
Weizeng Shao, Yuyi Hu, Xingwei Jiang, Youguang Zhang   +3 more
doaj   +1 more source

Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground Biomass of China’s Largest Artificially Planted Mangroves

Remote Sensing, 2020
Accurate methods to estimate the aboveground biomass (AGB) of mangroves are required to monitor the subtle changes over time and assess their carbon sequestration. The AGB of forests is a function of canopy-related information (canopy density, vegetation
Yuanhui Zhu, Kai Liu, Soe W. Myint, Zhenyu Du, Yubin Li, Jingjing Cao, Lin Liu, Zhifeng Wu   +7 more
doaj   +1 more source

Improving Forest Aboveground Biomass Estimation Accuracy via Optical and SAR Data Fusion Using Deep Learning Algorithms

Remote Sensing
Forest above-ground biomass (AGB) estimation is crucial for evaluating carbon dynamics. Although optical and synthetic aperture radar (SAR) data provide complementary spectral and structural information, limitations in existing fusion approaches restrict
Guoqing Wang, Lixian Zhao, Ci Song, Wangfei Zhang, Wenquan Dong, Yongjie Ji   +5 more
doaj   +1 more source

Aerosol Retrieval Over Ocean From DPC‐2/GF‐5(02): Using RemoTAP Extended With a 3‐Parameter Ocean Bio‐Optical Model and Comparisons With a 1‐Parameter Model

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 20, 28 October 2026.
Abstract Multi‐angle polarimetric instruments (MAPs) enable the retrieval of essential aerosol properties over oceanic regions. MAPs retrieval algorithms commonly use a 1‐parameter ocean bio‐optical model (OBM), based on chlorophyll‐a concentration only to represent optical properties over open waters (case‐1), whereas the coastal water (mixture of ...
Cheng Fan, Jeon‐Teo Dong, Guangliang Fu, Sha Lu, Zihan Zhang, Neranga K. Hannadige, Meng Gao, Peng‐Wang Zhai, Gerrit de Leeuw, Zhengqiang Li, Otto Hasekamp   +10 more
wiley   +1 more source

Large‐scale characterization of horizontal forest structure from remote sensing optical images

Remote Sensing in Ecology and Conservation, Volume 12, Issue 4, Page 611-628, August 2026.
Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu, Martin Brandt, Xiaowei Tong, Maurice Mugabowindekwe, Yuemin Yue, Sizhuo Li, Qiue Xu, Siyu Liu, Florian Reiner, Kelin Wang, Zhengchao Chen, Yongqing Bai, Rasmus Fensholt   +12 more
wiley   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Satellite‐Based Assessment of Methane Emissions From the Darvaza Gas Crater

Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.
Abstract Methane is a potent greenhouse gas, and the Darvaza crater in Turkmenistan is a rare, persistent emitter. There are uncertainties regarding its formation date (either 1963 or 1971), fire ignition, and the fire's influence on methane release. Using historical Landsat imagery, we reconstruct the fire history, identifying that combustion began ...
Adriana Valverde, Itziar Irakulis‐Loitxate, Javier Gorroño, Zhipeng Pei, Javier Roger, Luis Guanter   +5 more
wiley   +1 more source

THE FEASIBILITY EVALUATION OF LAND USE CHANGE DETECTION USING GAOFEN-3 DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
GaoFen-3 (GF-3) satellite, is the first C band and multi-polarimetric Synthetic Aperture Radar (SAR) satellite in China. In order to explore the feasibility of GF-3 satellite in remote sensing interpretation and land-use remote sensing change detection ...
G. Huang, G. Huang, Y. Sun, Y. Sun, Z. Zhao   +4 more
doaj   +1 more source

Concurrent Variations in Air–Sea Heat Fluxes and Sea Ice Extensions Under Cold‐Air Outbreaks: The First Joint Buoy–Cruise Observational Results in the Bohai Sea

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract The air–sea interface near seasonal ice edges notably regulates the regional climate but remains poorly understood. We present the first coordinated buoy–cruise measurements in the Bohai Sea—the world's lowest‐latitude seasonal ice zone—during the winter of 2024–2025.
Yulin Lu, Xiangzhou Song, Jianxi Dong, Hongjun Su, Yunwei Yan, Xuhua Cheng, Shijian Hu, Feiyang Wang, Zhuoqi Chen, Xiao Cheng   +9 more
wiley   +1 more source

POLARIMETRIC CALIBRATION AND ASSESSMENT OF GF-3 IMAGES IN STEPPE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The GaoFen-3 (GF-3) satellite is the first fully polarimetric synthetic aperture radar (PolSAR) satellite in China. It has three fully polarimetric imaging modes and is available for many applications.
Y. Chang, J. Yang, P. Li, L. Shi, L. Zhao, L. Zhao   +5 more
doaj   +1 more source