Improving the accuracy of extant gridded population maps using multisource map fusion-Reference-Cited by-同舟云学术

Improving the accuracy of extant gridded population maps using multisource map fusion

Published:2021-12-20 Issue:1 Volume:59 Page:54-70
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Gao Peng¹,Wu Tianjun²,Ge Yong³⁴⁵,Li Zihan¹

Affiliation:

1. School of Earth Sciences and Resources, Chang’an University, Xi’an, China

2. Department of Mathematics and Information Science, College of Science, Chang’an University, Xi’an, China

3. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing, China

4. University of Chinese Academy of Sciences, Beijing, China

5. School of Land Engineering, Chang’an University, Xi’an, China

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Natural Science Foundation for Distinguished Young Scholars of China

Key Research and Development Program of Shaanxi

Fundamental Research Funds for the Central Universities, CHD

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.2012371

Reference68 articles.

1. Spatial refinement of census population distribution using remotely sensed estimates of impervious surfaces in Haiti

2. Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China

3. The Combination of Forecasts

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