Integrating seasonal optical and thermal infrared spectra to characterize urban impervious surfaces with extreme spectral complexity: a Shanghai case study-Reference-Cited by-同舟云学术

Integrating seasonal optical and thermal infrared spectra to characterize urban impervious surfaces with extreme spectral complexity: a Shanghai case study

Published:2016-02-25 Issue:1 Volume:10 Page:016018
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Wang Wei¹,Yao Xinfeng²,Ji Minhe¹

Affiliation:

1. East China Normal University, Key Lab of GIScience, Education Ministry of China, 500 Dongchuan Road, Minhang District, Shanghai 200241, China

2. Agricultural Information Institute of Science and Technology, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Fengxian District, Shanghai 201403, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference33 articles.

1. Estimating impervious surfaces using linear spectral mixture analysis with multitemporal ASTER images

2. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing

3. Estimating impervious surface distribution by spectral mixture analysis

4. Detection of impervious surface change with multitemporal Landsat images in an urban–rural frontier

5. Understanding spatial-temporal urban expansion pattern (1990–2009) using impervious surface data and landscape indexes: a case study in Guangzhou (China)

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