Graph-based block-level urban change detection using Sentinel-2 time series-Reference-Cited by-同舟云学术

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Graph-based block-level urban change detection using Sentinel-2 time series

Published:2022-06 Issue: Volume:274 Page:112993
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Wang Nan,Li Wei,Tao Ran,Du Qian

Funder

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference64 articles.

1. Quantifying spatiotemporal patterns and major explanatory factors of urban expansion in Miami metropolitan area during 1992-2016;Al Rifat;Remote Sens.,2019

2. Characterizing urban area dynamics in historic city of Kurukshetra, India, using remote sensing and spatial metric tools;Anees;Geocart. Int.,2019

3. Analysis and modeling of urban land cover change in Setubal and Sesimbra, Portugal;Araya;Remote Sens.,2010

4. Multitemporal spaceborne SAR data for urban change detection in China;Ban;Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012

5. Improved change monitoring using an ensemble of time series algorithms;Bullock;Remote Sens. Environ.,2020

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