Drought loss assessment combining remote sensing and a crop growth model for maize in Yunnan Province, China-Reference-Cited by-同舟云学术

Drought loss assessment combining remote sensing and a crop growth model for maize in Yunnan Province, China

Published:2018-10-11 Issue:5-6 Volume:40 Page:2151-2165
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Gao Maofang¹,Li Zhao-Liang¹,Liu Sanchao²,Gao Ya³,Leng Pei¹,Duan Sibo¹

Affiliation:

1. Key Laboratory of Agricultural Remote Sensing, Institute of Agricultural Resources and Regional Planning, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China

2. Transport Planning and Research Institute, Ministry of Transport, Beijing, China

3. School of Electronic Engineering, Heilongjiang University, Harbin, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Research Institutes

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1519291

Reference31 articles.

1. Remote sensing of drought: Progress, challenges and opportunities

2. Spatial comparability of drought characteristics and related return periods in mainland China over 1961–2013

3. An extreme value analysis of UK drought and projections of change in the future

4. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover

5. Cause of severe droughts in Southwest China during 1951–2010

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