Automatic detection of urban vacant land: An open-source approach for sustainable cities-Reference-Cited by-同舟云学术

Automatic detection of urban vacant land: An open-source approach for sustainable cities

Published:2022-01 Issue: Volume:91 Page:101729
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Xu Shaojuan,Ehlers Manfred

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference90 articles.

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4. Evidence supporting the value of spontaneous vegetation for phytomanagement of soil ecosystem functions in abandoned metal (loid) mine tailings;Álvarez-Rogel;Catena,2021

5. Infill Development for Older Australians in South East Queensland: An analysis of the Preferences of Older People in the Urban Environment;Baldwin,2012

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1. Spatiotemporal changes of urban vacant land and its distribution patterns in shrinking cities on the globe;Science of The Total Environment;2024-10

2. Large-Scale Spatial–Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation;Remote Sensing;2024-01-05

3. Dynamic monitoring of urban renewal based on multi-source remote sensing and POI data: A case study of Shenzhen from 2012 to 2020;International Journal of Applied Earth Observation and Geoinformation;2023-12

4. Business Intelligence through Machine Learning from Satellite Remote Sensing Data;Future Internet;2023-10-27

5. Large-Scale Automatic Identification of Industrial Vacant Land;ISPRS International Journal of Geo-Information;2023-10-05