Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artificial intelligence algorithms-Reference-Cited by-同舟云学术

Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artificial intelligence algorithms

Published:2022-12-12 Issue:1 Volume:59 Page:2217-2246
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Ma Changhui¹,Xie Yaowen¹,Duan Si-Bo²,Qin Wenhua¹,Guo Zecheng¹,Xi Guilin¹,Zhang Xueyuan¹,Bie Qiang³,Duan Hanming⁴,He Lei¹

Affiliation:

1. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China

2. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

3. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, 730070, China

4. School of Geography & Resource Science, Neijiang Normal University, Neijiang, 641100, China

Funder

the Second Tibetan Plateau Scientific Expedition and Research Program (STEP) of Ministry of Science and Technology of the People’s Republic of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2153447

Reference90 articles.

1. Temperature contributes more than precipitation to the greening of the Tibetan Plateau during 1982–2019