Uncertainties on the GIS based potential natural vegetation simulation using Comprehensive and Sequential Classification System-Reference-Cited by-同舟云学术

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Uncertainties on the GIS based potential natural vegetation simulation using Comprehensive and Sequential Classification System

Published:2020-10-19 Issue:2 Volume:103 Page:186-198
ISSN:0435-3676
Container-title:Geografiska Annaler: Series A, Physical Geography
language:en
Short-container-title:Geografiska Annaler: Series A, Physical Geography

Author:

Shi Yinfang¹²³,Zhao Jun¹,Grace Peter²³,Li Chuanhua¹,Zhang Jinglan³,Du Huaiyu¹

Affiliation:

1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou, People’s Republic of China

2. Institute for Future Environments, Queensland University of Technology, Brisbane, Australia

3. Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia

Funder

National Natural Science Foundation of China

China Scholarship Council

Innovation Foundation of Higher Education in Gansu Province

Publisher

Informa UK Limited

Subject

Geology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/04353676.2020.1832753

Reference39 articles.

1. Error propagation modelling in raster GIS: overlay operations

2. Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels

3. A GIS based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis

4. Uncertainty-Related Research Issues in Spatial Analysis

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1. Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine;Journal of Environmental Planning and Management;2021-11-23

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