Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification-Reference-Cited by-同舟云学术

Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification

Published:2022-02-04 Issue:1 Volume:15 Page:226-248
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Gao Caihong¹²,Wu Qifan³,Dyck Miles⁴,Lv Jialong¹²,He Hailong¹^ORCID

Affiliation:

1. College of Natural Resources and Environment, Northwest A&F University, Yangling, People’s Republic of China

2. Key Laboratory of Plant Nutrition and the Agri-Environment in Northwest China (Ministry of Agriculture), Northwest A&F University, Yangling, People’s Republic of China

3. College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, People’s Republic of China

4. Department of Renewable Resources, University of Alberta, Edmonton, Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2021.2023667

Reference108 articles.

1. The Central People's Government of the People's Republic of China. Accessed March 29, 2021. http://www.gov.cn/gzdt/2010-11/27/content_1754795.htm.

2. Jingyang county, Shaanxi Province. Accessed March 29, 2021. http://www.cnr.cn/sxpd/shgl/20210111/t20210111_525388580.shtml.

3. Shaanxi. Accessed November 23, 2021. http://www.shaanxi.gov.cn/zfxxgk/zfgb/1999/d15q_4456/200806/t20080626_1635614.html.

4. Detecting greenhouse changes from QuickBird imagery on the Mediterranean coast

5. Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses

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