Jing Wang

Orcid: 0000-0001-6563-4555

Affiliations:
  • Wuhan University, School of Resource and Environmental Sciences, China
  • Hong Kong Polytechnic University, Hong Kong (PhD 2010)


According to our database1, Jing Wang authored at least 9 papers between 2017 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2019
Evaluation and development of sustainable urban land use plans through spatial optimization.
Trans. GIS, 2019

Evaluation on Spaceborne Multispectral Images, Airborne Hyperspectral, and LiDAR Data for Extracting Spatial Distribution and Estimating Aboveground Biomass of Wetland Vegetation Suaeda salsa.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Estimation and Multiscale Transformation of Aboveground Biomass: An HGSU-Oriented Approach Based on Multisource Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Delimiting the Red Line of Ecologically Functional Space for Management and Control in Coastal Development Zone - - Case Study of Dafeng District, Jiangsu Province.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Estimation and Prediction of Vegetation Coverage in Yancheng National Nature Reserve.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Estimating the Carbon Content of Coastal Wetland Vegetation With Visible and Near-Infrared Reflectance Spectroscopy.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Object-Oriented Classification for Ecologically Sound Land Based on High-Resolution Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Estimating the Aboveground Biomass of Phragmites Australis (Common Reed) Based on Multi-Source Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Mapping <i>Spartina alterniflora</i> Biomass Using LiDAR and Hyperspectral Data.
Remote. Sens., 2017


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