High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform-Reference-Cited by-同舟云学术

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High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform

Published:2018-05 Issue: Volume:209 Page:227-239
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Liu Xiaoping,Hu Guohua,Chen Yimin,Li Xia,Xu Xiaocong,Li Shaoying,Pei Fengsong,Wang Shaojian

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Key National Natural Science Foundation of China

Guangdong Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference36 articles.

1. Landsat analysis of urban growth: how Tokyo became the world's largest megacity during the last 40 years;Bagan;Remote Sens. Environ.,2012

2. GLC2000: a new approach to global land cover mapping from Earth observation data;Bartholomé;Int. J. Remote Sens.,2005

3. Retrieving leaf area index of boreal conifer forests using Landsat TM images;Chen;Remote Sens. Environ.,1996

4. Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy;Chen;Int. J. Geogr. Inf. Sci.,2014

5. Global land cover mapping at 30 m resolution: a POK-based operational approach;Chen;ISPRS J. Photogramm. Remote Sens.,2015

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