Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-773-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-773-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
Guangsheng Zhou
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Hongrui Ren
Department of Geomatics, Taiyuan University of Technology, Taiyuan 030024, China
Lei Zhang
Department of Geomatics, Taiyuan University of Technology, Taiyuan 030024, China
Xiaomin Lv
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Mengzi Zhou
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
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Cited
15 citations as recorded by crossref.
- Asymmetric Responses of Spring and Autumn Phenology to Permafrost Degradation in the Source Region of the Yangtze River M. Xu et al. https://doi.org/10.3390/rs18091375
- Spatiotemporal patterns of meteorological–soil moisture drought propagation on the Qinghai-Xizang Plateau, China W. Zegen et al. https://doi.org/10.1016/j.jaridl.2026.05.003
- Spatiotemporal Divergence in SIF- and NDVI-Derived Vegetation Phenology and Its Impact on Water Use Efficiency on the Qinghai-Tibetan Plateau Z. Feng et al. https://doi.org/10.3390/rs18122033
- The uneven impact of temperature on the macroeconomy: a perspective on total factor productivity L. Yao & M. Jin https://doi.org/10.1007/s10644-025-09898-9
- Multi-source heterogeneous feature fusion framework for identifying retrogressive thaw slumps on the Qinghai-Tibet plateau T. Zeng et al. https://doi.org/10.1016/j.rse.2026.115503
- Linking Soil Erosion and Sediment Connectivity in the Yarlung Tsangpo Grand Canyon Basin H. Zhang et al. https://doi.org/10.1016/j.iswcr.2026.100686
- Divergent leaf senescence changes in meadows, steppes, and cultivated vegetation on the Qinghai–Tibetan Plateau J. Zhu et al. https://doi.org/10.1016/j.gecco.2025.e03996
- Multi-Source Remote Sensing Data-Driven Susceptibility Mapping of Retrogressive Thaw Slumps in the Yangtze River Source Region Y. Tian et al. https://doi.org/10.3390/rs18030380
- Widespread weakening of soil-atmosphere thermal coupling and its response to climate warming on the Qinghai-Tibetan plateau G. Yin et al. https://doi.org/10.1016/j.agrformet.2025.110925
- Coupling Mechanisms Between Vegetation Phenology and Gross Primary Productivity in Alpine Grasslands on the Southern Slope of the Qilian Mountains F. Wang et al. https://doi.org/10.3390/atmos17020169
- Spatiotemporal lag effects between vegetation dynamics and climate variability on the Tibetan Plateau during 2001–2024 Z. Satti et al. https://doi.org/10.1016/j.rsase.2026.101984
- A Causal Remote Sensing Framework to Disentangle Climate and Anthropogenic Drivers of Grassland Recovery on the Qinghai–Tibet Plateau Z. Liu et al. https://doi.org/10.3390/rs18030504
- Spatial heterogeneity of soil organic carbon in response to snow cover on the Tibetan Plateau Y. Jia et al. https://doi.org/10.1080/15230430.2026.2667582
- How precipitation extremes respond to rapid warming over the Tibetan Plateau S. Li et al. https://doi.org/10.1016/j.jhydrol.2026.134941
- Soil iGDGTs temperature dependence: From the Tibetan Plateau to the global scale and its implications for the Holocene temperature conundrum Y. Duan et al. https://doi.org/10.1016/j.gca.2025.11.005
15 citations as recorded by crossref.
- Asymmetric Responses of Spring and Autumn Phenology to Permafrost Degradation in the Source Region of the Yangtze River M. Xu et al. https://doi.org/10.3390/rs18091375
- Spatiotemporal patterns of meteorological–soil moisture drought propagation on the Qinghai-Xizang Plateau, China W. Zegen et al. https://doi.org/10.1016/j.jaridl.2026.05.003
- Spatiotemporal Divergence in SIF- and NDVI-Derived Vegetation Phenology and Its Impact on Water Use Efficiency on the Qinghai-Tibetan Plateau Z. Feng et al. https://doi.org/10.3390/rs18122033
- The uneven impact of temperature on the macroeconomy: a perspective on total factor productivity L. Yao & M. Jin https://doi.org/10.1007/s10644-025-09898-9
- Multi-source heterogeneous feature fusion framework for identifying retrogressive thaw slumps on the Qinghai-Tibet plateau T. Zeng et al. https://doi.org/10.1016/j.rse.2026.115503
- Linking Soil Erosion and Sediment Connectivity in the Yarlung Tsangpo Grand Canyon Basin H. Zhang et al. https://doi.org/10.1016/j.iswcr.2026.100686
- Divergent leaf senescence changes in meadows, steppes, and cultivated vegetation on the Qinghai–Tibetan Plateau J. Zhu et al. https://doi.org/10.1016/j.gecco.2025.e03996
- Multi-Source Remote Sensing Data-Driven Susceptibility Mapping of Retrogressive Thaw Slumps in the Yangtze River Source Region Y. Tian et al. https://doi.org/10.3390/rs18030380
- Widespread weakening of soil-atmosphere thermal coupling and its response to climate warming on the Qinghai-Tibetan plateau G. Yin et al. https://doi.org/10.1016/j.agrformet.2025.110925
- Coupling Mechanisms Between Vegetation Phenology and Gross Primary Productivity in Alpine Grasslands on the Southern Slope of the Qilian Mountains F. Wang et al. https://doi.org/10.3390/atmos17020169
- Spatiotemporal lag effects between vegetation dynamics and climate variability on the Tibetan Plateau during 2001–2024 Z. Satti et al. https://doi.org/10.1016/j.rsase.2026.101984
- A Causal Remote Sensing Framework to Disentangle Climate and Anthropogenic Drivers of Grassland Recovery on the Qinghai–Tibet Plateau Z. Liu et al. https://doi.org/10.3390/rs18030504
- Spatial heterogeneity of soil organic carbon in response to snow cover on the Tibetan Plateau Y. Jia et al. https://doi.org/10.1080/15230430.2026.2667582
- How precipitation extremes respond to rapid warming over the Tibetan Plateau S. Li et al. https://doi.org/10.1016/j.jhydrol.2026.134941
- Soil iGDGTs temperature dependence: From the Tibetan Plateau to the global scale and its implications for the Holocene temperature conundrum Y. Duan et al. https://doi.org/10.1016/j.gca.2025.11.005
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
This study developed a new approach to long-time continuous annual vegetation mapping from remote sensing imagery, and mapped the vegetation of the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 using the MOD09A1 product. The overall accuracy of continuous annual QTP vegetation mapping reached 83.3%, with the reference annual 2020 data reaching an accuracy of 83.3% and a kappa coefficient of 0.82. The study supports the use of remote sensing data to mapping long-time continuous annual vegetation.
This study developed a new approach to long-time continuous annual vegetation mapping from...
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