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Assessing the relationship between morphology and mapping accuracy of built-up areas derived from global human settlement data
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2022
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Source: GIScience & Remote Sensing, 59(1), 1722-1748
[PDF-29.00 MB]
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Journal Title:GIScience & Remote Sensing
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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
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Source:GIScience & Remote Sensing, 59(1), 1722-1748
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DOI:
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ISSN:1548-1603;1943-7226;
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Rights Information:CC BY
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Compliance:Library
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