Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data-Reference-Cited by-同舟云学术

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Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data

Published:2022-10-12 Issue:1 Volume:59 Page:1722-1748
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Uhl Johannes H.¹²^ORCID,Leyk Stefan²³

Affiliation:

1. Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA

2. Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado, USA

3. Department of Geography, University of Colorado Boulder, Boulder, Colorado, USA

Funder

the Eunice Kennedy Shriver National Institute of Child Health and Human Development

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2131192

Reference78 articles.

1. Random forest in remote sensing: A review of applications and future directions

2. A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances on the Global Human Settlement layer by joint assessment of earth observation and population survey data;International Journal of Digital Earth;2024-08-30

2. HISDAC-ES: historical settlement data compilation for Spain (1900–2020);Earth System Science Data;2023-10-26

3. Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States;International Journal of Applied Earth Observation and Geoinformation;2023-09

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