青海湖地区代表性植被的光谱数据集。

A spectral dataset of Representative vegetation in the Qinghai Lake region.

作者信息

Li Ying, Chen Kelong, Chen Zhen, Yang Ziwei, Wang Mingyu, Yang Jianpeng

机构信息

Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining, 810008, China.

Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining, 810008, China.

出版信息

Sci Data. 2025 May 7;12(1):753. doi: 10.1038/s41597-025-05091-9.

DOI:10.1038/s41597-025-05091-9

PMID:40335525

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12059044/

Abstract

The grassland, mountain and water body in Qinghai Lake Basin is an important ecological barrier to prevent the eastern encroachment of western desert, which is of great significance to maintain regional ecological stability and sustainable development. As a crucial indicator for assessing the ecological environment quality of this region, in-depth research and dynamic monitoring of grassland conditions can not only accurately reflect forage growth status but also provide a solid scientific foundation for policymakers to make scientific management decisions. Vegetation spectral acquisition and analysis can effectively indicate changes in vegetation cover and community structure. From July to August, 2023, the author's team conducted extensive field measurements of vegetation spectra were conducted in the Qinghai Lake region, resulting in the acquisition of spectral curves for 103 typical ground vegetation species and the establishment of a spectral database for typical vegetation in the Qinghai Lake region. This dataset holds significant scientific and practical value, providing fundamental data support for remote sensing monitoring, ecological conservation, and ecological research.

摘要

青海湖流域的草原、山地和水体是防止西部沙漠向东侵蚀的重要生态屏障，对维护区域生态稳定和可持续发展具有重要意义。作为评估该地区生态环境质量的关键指标，对草地状况进行深入研究和动态监测，不仅能准确反映牧草生长状况，还能为政策制定者做出科学管理决策提供坚实的科学依据。植被光谱采集与分析能够有效指示植被覆盖度和群落结构的变化。2023年7月至8月，作者团队在青海湖地区开展了广泛的植被光谱实地测量，获取了103种典型地面植被物种的光谱曲线，建立了青海湖地区典型植被光谱数据库。该数据集具有重要的科学和实用价值，为遥感监测、生态保护和生态研究提供了基础数据支持。