A New Method of Extracting Built-up Area Based on Multi-source Remote Sensing Data: A Case Study of Baoding Central City, China
Author:
Affiliation:
1. School of Economics, Hebei University, Baoding, China
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1933214
Reference46 articles.
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3. Avudaiammal R, Elaveni P, Selvan S, Rajangam V. 2020. Extraction of buildings in urban area for surface area assessment from satellite imagery based on morphological building index using SVM classifier. Indian Soc. Remote Sens. 48(9):1325–1344.
4. Babaei H, Janalipour M, Tehrani NA. 2021. A simple, robust, and automatic approach to extract water body from Landsat images (case study: Lake Urmia, Iran). J Water Clim Change. 12(1):238–249.
5. Bai Y, He G, Wang G, Yang G. 2020. WE-NDBI-A new index for mapping urban built-up areas from GF-1 WFV images. Remote Sens Lett. 11(5):407–415.
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