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

Uhl, Johannes H.; Leyk, Stefan

doi:10.1080/15481603.2022.2131192

i

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

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2022
By Uhl, Johannes H. ; Leyk, Stefan

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Journal Title:

GIScience & Remote Sensing
Personal Author:

Uhl, Johannes H. ; Leyk, Stefan
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

It is common knowledge that the level of landscape heterogeneity may affect the performance of remote sensing based land use/land cover classification. While this issue has been studied in depth for land cover data in general, the specific relationship between the mapping accuracy and morphological characteristics of built-up surfaces has not been analyzed in detail, an urgent need given the recent emergence of a variety of global, fine-resolution settlement datasets. Moreover, previous studies typically rely on aggregated, broad-scale landscape metrics to quantify
Keywords:

General Earth and Planetary Sciences
Source:

GIScience & Remote Sensing, 59(1), 1722-1748
DOI:

https://doi.org/10.1080/15481603.2022.2131192
ISSN:

1548-1603 ; 1943-7226
Format:

PDF
Publisher:

Informa UK Limited
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:1a3391adf75a391513da9b0829df4609f9ccb5094866021087506c57a5f250a4
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https://repository.library.noaa.gov/view/noaa/54921/noaa_54921_DS1.pdf
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