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

作者：Guangsheng Zhou, Hongrui Ren, Lei Zhang, Xiaomin Lv, Mengzi Zhou · 发表于：Earth system science data · 年份：2025 · DOI：10.5194/essd-17-773-2025 · 被引用次数：17 · 研究领域：Remote Sensing in Agriculture、Remote Sensing and Land Use、Environmental Changes in China

Abstract. 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 sensin...