An integrated soft and hard classification approach for evaluating urban expansion from multisource remote sensing data: a case study of the Beijing–Tianjin–Tangshan metropolitan region, China-Reference-Cited by-同舟云学术

An integrated soft and hard classification approach for evaluating urban expansion from multisource remote sensing data: a case study of the Beijing–Tianjin–Tangshan metropolitan region, China

Published:2018-02-28 Issue:11 Volume:39 Page:3556-3579
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Cao Shisong¹^ORCID,Hu Deyong¹,Hu Zhuowei¹,Zhao Wenji¹,Mo You¹,Qiao Kun²

Affiliation:

1. College of Resource Environment and Tourism, Capital Normal University, Beijing, China

2. Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1444291

Reference49 articles.

1. Monitoring urban to peri‐urban development with integrated remote sensing and GIS information: a Leipzig, Germany case study

2. Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India

3. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

4. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data

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