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Gang Yang

Ningbo University

China

  • Ningbo University

SCHOLARLY PAPERS

4

DOWNLOADS

182

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

The Phenology and Water Level Time-Series Mangrove Index for Improved Mangrove Monitoring

Number of pages: 82 Posted: 19 Jan 2024
Weiwei Sun, Ke Huang, Gang Yang, Bolin Fu, Chao Chen, xiangchao meng, Tian Feng and Yong Ge
Ningbo University, Ningbo University, Ningbo University, Guilin University of Technology, Ningbo University, Ningbo University, Ningbo University and affiliation not provided to SSRN
Downloads 75 (844,901)

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Mangroves, Vegetation index, Time-series characteristics, Phenology, Water level

2.

Dual-Task Cascaded Network for Spatial-Temporal-Spectral Image Fusion in Remote Sensing

Number of pages: 32 Posted: 29 May 2023
xiangchao meng, Xu Chen, Feng Shao and Gang Yang
Ningbo University, Ningbo University, Ningbo University and Ningbo University
Downloads 54 (1,020,567)

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Spatial-temporal-spectral fusion, Hyperspectral image, Multispectral image, Temporal change, Remote Sensing

3.

Zy1-02d Satellite Hyperspectral Remote Sensing: Spatial Scaling Analysis and Monitoring of Landscape Wetland Diversity

Number of pages: 25 Posted: 21 Dec 2023
Siying Cheng, Weiwei Sun, Xiaodong Yang, Gang Yang, Binjie Chen, Kai Ren and Daosheng Chen
Ningbo University, Ningbo University, Ningbo University, Ningbo University, Ningbo University, Ningbo University and Xinjiang University
Downloads 29 (1,332,057)

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hyperspectral remote sensing, Landscape Diversity, Spectral Diversity, Random Forest, Spatial Scale

4.

Research on Integrated Monitoring Algorithm for Small Water Bodies in Complex Terrain Regions Using Sar and Optical Fusion

Number of pages: 42 Posted: 02 Apr 2024
songling yang, Lihua Wang, Yi Yuan, Li Fan, Yuchen Wu, Weiwei Sun and Gang Yang
Ningbo University, Ningbo University, affiliation not provided to SSRN, affiliation not provided to SSRN, Ningbo University, Ningbo University and Ningbo University
Downloads 24 (1,424,331)

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SAR and optical image fusion, small water body, complex terrain regions, multiscale segmentation, Random Forest