Time series analysis of satellite data to characterize multiple land use transitions: a case study of urban growth and agricultural land loss in India-Reference-Cited by-同舟云学术

Time series analysis of satellite data to characterize multiple land use transitions: a case study of urban growth and agricultural land loss in India

Published:2018-05-04 Issue:3 Volume:13 Page:221-237
ISSN:1747-423X
Container-title:Journal of Land Use Science
language:en
Short-container-title:Journal of Land Use Science

Author:

Pandey Bhartendu¹,Zhang Qingling¹²,Seto Karen C.¹

Affiliation:

1. Yale School of Forestry & Environmental Studies, Yale University, New Haven, CT, USA

2. School of Aeronautics and Astronautics, Sun Yat-sen University, Panyu District Guangdong, China

Funder

Institute for Biospheric Studies, Yale University

NASA LCLUC

One Hundred Talents Program of the Chinese Academy of Science

Publisher

Informa UK Limited

Subject

Management, Monitoring, Policy and Law,Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1747423X.2018.1533042

Reference50 articles.

1. Mapping abandoned agriculture with multi-temporal MODIS satellite data

2. Tests for Parameter Instability and Structural Change With Unknown Change Point

3. Methods and Challenges for Using High- Temporal Resolution Data to Monitor Urban Growth

4. Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China

5. A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America

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