Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery

<p>The Qinghai–Tibet Plateau (QTP), known as the Third Pole of the Earth and the “water tower of Asia”, plays a crucial role in global climate regulation, biodiversity conservation, and regional socio-economic development. Continuous annual vegetation types and their geographical distribution...

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Main Authors: G. Zhou, H. Ren, L. Zhang, X. Lv, M. Zhou
Format: Article
Language:English
Published: Copernicus Publications 2025-02-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/17/773/2025/essd-17-773-2025.pdf
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author G. Zhou
H. Ren
L. Zhang
X. Lv
M. Zhou
author_facet G. Zhou
H. Ren
L. Zhang
X. Lv
M. Zhou
author_sort G. Zhou
collection DOAJ
description <p>The Qinghai–Tibet Plateau (QTP), known as the Third Pole of the Earth and the “water tower of Asia”, plays a crucial role in global climate regulation, biodiversity conservation, and regional socio-economic development. Continuous annual vegetation types and their geographical distribution data are essential for studying the response and adaptation of vegetation to climate change. However, there are very limited data on vegetation types and their geographical distributions on the QTP due to the harsh natural environment. Currently, land cover and surface vegetation data are typically obtained using traditional classification methods for each period's product based on remote sensing information. These approaches do not consider the temporal continuity of vegetation presence, leading to a gradual increase in misclassified pixels and uncertainty in their locations, consequently decreasing the interpretability of the long-time-series remote sensing products. To address this issue, this study developed a new method for long-time continuous annual vegetation mapping based on reference vegetation maps and annual updates and mapped the vegetation of the QTP from 2000 to 2022 at a 500 m spatial resolution through the MOD09A1 product. The overall accuracy of continuous annual QTP vegetation mapping from 2000 to 2022 reached 83.27 %, with the reference annual 2020 data reaching an accuracy of 83.32 % and a kappa coefficient of 0.82. This study supports the use of remote sensing data for long-term continuous annual vegetation mapping. The 500 m annual vegetation maps are available at <a href="https://doi.org/10.11888/Terre.tpdc.301205">https://doi.org/10.11888/Terre.tpdc.301205</a> (Zhou et al., 2024).</p>
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publishDate 2025-02-01
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spelling doaj-art-728092da117e485bbafbae3a10799ab42025-08-20T01:47:26ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-02-011777379710.5194/essd-17-773-2025Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imageryG. Zhou0H. Ren1L. Zhang2X. Lv3M. Zhou4State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaDepartment of Geomatics, Taiyuan University of Technology, Taiyuan 030024, ChinaDepartment of Geomatics, Taiyuan University of Technology, Taiyuan 030024, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaState Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China<p>The Qinghai–Tibet Plateau (QTP), known as the Third Pole of the Earth and the “water tower of Asia”, plays a crucial role in global climate regulation, biodiversity conservation, and regional socio-economic development. Continuous annual vegetation types and their geographical distribution data are essential for studying the response and adaptation of vegetation to climate change. However, there are very limited data on vegetation types and their geographical distributions on the QTP due to the harsh natural environment. Currently, land cover and surface vegetation data are typically obtained using traditional classification methods for each period's product based on remote sensing information. These approaches do not consider the temporal continuity of vegetation presence, leading to a gradual increase in misclassified pixels and uncertainty in their locations, consequently decreasing the interpretability of the long-time-series remote sensing products. To address this issue, this study developed a new method for long-time continuous annual vegetation mapping based on reference vegetation maps and annual updates and mapped the vegetation of the QTP from 2000 to 2022 at a 500 m spatial resolution through the MOD09A1 product. The overall accuracy of continuous annual QTP vegetation mapping from 2000 to 2022 reached 83.27 %, with the reference annual 2020 data reaching an accuracy of 83.32 % and a kappa coefficient of 0.82. This study supports the use of remote sensing data for long-term continuous annual vegetation mapping. The 500 m annual vegetation maps are available at <a href="https://doi.org/10.11888/Terre.tpdc.301205">https://doi.org/10.11888/Terre.tpdc.301205</a> (Zhou et al., 2024).</p>https://essd.copernicus.org/articles/17/773/2025/essd-17-773-2025.pdf
spellingShingle G. Zhou
H. Ren
L. Zhang
X. Lv
M. Zhou
Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
Earth System Science Data
title Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
title_full Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
title_fullStr Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
title_full_unstemmed Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
title_short Annual vegetation maps in the Qinghai–Tibet Plateau (QTP) from 2000 to 2022 based on MODIS series satellite imagery
title_sort annual vegetation maps in the qinghai tibet plateau qtp from 2000 to 2022 based on modis series satellite imagery
url https://essd.copernicus.org/articles/17/773/2025/essd-17-773-2025.pdf
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AT lzhang annualvegetationmapsintheqinghaitibetplateauqtpfrom2000to2022basedonmodisseriessatelliteimagery
AT xlv annualvegetationmapsintheqinghaitibetplateauqtpfrom2000to2022basedonmodisseriessatelliteimagery
AT mzhou annualvegetationmapsintheqinghaitibetplateauqtpfrom2000to2022basedonmodisseriessatelliteimagery