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Peer-reviewedCC BY 4.0PLOS One

Mapping and dynamic monitoring of desertification on the Qinghai-Tibetan Plateau using surface Albedo and Solar-Induced Chlorophyll Fluorescence

  • Zhijian Zhao1
  • Hui Lin2
  • Lei Wu3
  • Linling Tang
  • Xin Xiao
  1. 1College of Mathematics and Computer, Xinyu University, Xinyu, China
  2. 2Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education/Postdoctoral Research Station of Chemistry, Jiangxi Normal University, Nanchang, China
  3. 3The School of Geography and Environment, Jiangxi Normal University, Nanchang, China
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Abstract

Desertification poses a significant threat to humanity’s long-term survival and sustainable development. In this study, four types of 2D desertification assessment models were created by integrating surface albedo with four vegetation-related indicators: NDVI, MSAVI, EVI, and solar-induced chlorophyll fluorescence (SIF). A comprehensive analysis of the spatiotemporal variations in desertification on the Qinghai-Tibetan Plateau (QTP) from 2001 to 2020 was then conducted. Among the four models, the SA-SIF model demonstrated the highest overall accuracy (0.8675; 95% CI: 0.8512–0.8838) and Kappa coefficient (0.8452; 95% CI: 0.8289–0.8615), significantly outperforming the other three models (p < 0.01, McNemar’s test). The SA-SIF model’s mapping results revealed substantial regional variability in desertification on the QTP, with the degree of desertification decreasing from northwest to southeast. Over the past decade, the expansion of severe and extremely severe desertification on the QTP has shown signs of slowing, although future trends may become more complex due to the interplay of climatic and anthropogenic factors. The SA-SIF model can serve as a reference for future desertification control operations on the QTP.

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Cite

BibTeXRIS
BibTeX
@article{zhao2026mapping,
  title = {{Mapping and dynamic monitoring of desertification on the Qinghai-Tibetan Plateau using surface Albedo and Solar-Induced Chlorophyll Fluorescence}},
  author = {Zhijian Zhao and Hui Lin and Lei Wu and Linling Tang and Xin Xiao},
  journal = {PLOS One},
  year = {2026},
  month = sep,
  doi = {10.1371/journal.pone.0359348},
  url = {https://doi.org/10.1371/journal.pone.0359348},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Mapping and dynamic monitoring of desertification on the Qinghai-Tibetan Plateau using surface Albedo and Solar-Induced Chlorophyll Fluorescence
AU  - Zhijian Zhao
AU  - Hui Lin
AU  - Lei Wu
AU  - Linling Tang
AU  - Xin Xiao
PY  - 2026
DA  - 2026/09/25
JO  - PLOS One
DO  - 10.1371/journal.pone.0359348
UR  - https://doi.org/10.1371/journal.pone.0359348
AB  - Desertification poses a significant threat to humanity’s long-term survival and sustainable development. In this study, four types of 2D desertification assessment models were created by integrating surface albedo with four vegetation-related indicators: NDVI, MSAVI, EVI, and solar-induced chlorophyll fluorescence (SIF). A comprehensive analysis of the spatiotemporal variations in desertification on the Qinghai-Tibetan Plateau (QTP) from 2001 to 2020 was then conducted. Among the four models, the SA-SIF model demonstrated the highest overall accuracy (0.8675; 95% CI: 0.8512–0.8838) and Kappa coefficient (0.8452; 95% CI: 0.8289–0.8615), significantly outperforming the other three models (p < 0.01, McNemar’s test). The SA-SIF model’s mapping results revealed substantial regional variability in desertification on the QTP, with the degree of desertification decreasing from northwest to southeast. Over the past decade, the expansion of severe and extremely severe desertification on the QTP has shown signs of slowing, although future trends may become more complex due to the interplay of climatic and anthropogenic factors. The SA-SIF model can serve as a reference for future desertification control operations on the QTP.
SN  - 1932-6203
ER  -