Mapping Impervious Surfaces Precisely—a GIS-Based Methodology Combining Vector Data and High-Resolution Airborne Imagery
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s41651-020-00055-6.pdf
Reference49 articles.
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2. Arnold CL Jr, Gibbons CJ (1996) Impervious surface coverage: the emergence of a key environmental indicator. J Am Plan Assoc 62:243–258. https://doi.org/10.1080/01944369608975688
3. Artmann M (2014) Assessment of soil sealing management responses, strategies, and targets toward ecologically sustainable urban land use management. Ambio 43:530–541. https://doi.org/10.1007/s13280-014-0511-1
4. Barron C, Neis P, Zipf A (2014) A comprehensive framework for intrinsic OpenStreetMap quality analysis. Trans GIS 18:877–895. https://doi.org/10.1111/tgis.12073
5. Bauer M, Loffelholz B, Wilson B (2007) Estimating and mapping impervious surface area by regression analysis of Landsat imagery. In: Weng Q (ed) Remote sensing of impervious surfaces, vol 20073946. CRC Press, Boca Raton, pp 1–20
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