基于OSAVI-Albedo特征空间的香格里拉市土地荒漠化时空动态监测
DOI:
作者:
作者单位:

中国地质调查局昆明自然资源综合调查中心

作者简介:

通讯作者:

中图分类号:

基金项目:

中国地质调查局“滇西北高寒草甸区生态修复综合调查”项目(DD20230482)


Spatio-temporal dynamic monitoring of land desertification in Shangri-La city based on OSAVI-NDVI feature space
Author:
Affiliation:

Kunming General Survey of Natural Resources Center

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    土地荒漠化是全球性的重大生态环境问题,我国的荒漠化土地面积约占国土面积的四分之一,持续开展土地荒漠化监测研究对促进荒漠化区生态恢复意义重大。针对基于NDVI-Albedo特征空间提取土地荒漠化存在的不足,结合模型对比分析,提出了基于OSAVI-Albedo特征空间的高寒草甸区土地荒漠化遥感提取方法。本文通过构建OSAVI-Albedo特征空间得到香格里拉市各期次荒漠化差异指数,对研究区近20年来的土地荒漠化进行时空动态监测研究,并结合区域气象、人口等数据变化,探究了自然和人为因素对区域土地荒漠化演化的影响机制。结果表明:OSAVI-Albedo模型能很好地克服NDVI-Albedo模型的缺点,有效地区分不同地表植被覆盖类型且不受特殊地物影响。2003—2022年,香格里拉市土地荒漠化整体呈好转趋势,轻度、中度、重度荒漠化面积逐渐缩小,荒漠化呈减轻趋势的面积为加重面积的2倍,仅局部地区有荒漠化恶化、波动情况发生。进一步分析表明,研究区自然因素(气温和降水)、人为因素(土地覆盖和人口密度)以及生态治理(退耕还林、退牧还草、天然林保护、森林生态效益补偿等)是影响区域荒漠化演变的重要驱动因素。

    Abstract:

    Land desertification constitutes a critical global ecological challenge. In China, desertification areas cover approximately 27% of the national landmass. Continuously conducting monitoring and research on land desertification is of great significance for promoting ecological restoration in desertification areas. Addressing limitations of NDVI-Albedo feature space extraction, this study integrates comparative model analysis to propose a remote sensing extraction method for land desertification in alpine meadow areas based on the OSAVI-Albedo feature space. We developed an OSAVI-Albedo feature space framework to derive temporal desertification differential index (DDI) for Shangri-La city, and conducted a spatio-temporal dynamic monitoring study of land desertification in the study area over the past 20 years, and the distribution and change patterns of regional land desertification were identified. It also explores the impact mechanisms of natural and anthropogenic factors on the evolution of regional desertification by combining local meteorological and demographic data changes. The results show that the OSAVI-Albedo model can effectively overcome the shortcomings of the NDVI-Albedo model, such as oversaturation and outliers, and differentiate surface vegetation coverage without interference from special ground objects. From 2003 to 2022, Shangri-La's desertification showed improvement: the area of mild/moderate/severe categories decreased by 30.3%, 34.6%, and 14.3% respectively. Meanwhile, the area of non (no) and potential categories increased by 27.9% and 3.9% respectively. The area where desertification improves is approximately four times larger than the area where it has deteriorated, and the area where desertification is showing a decreasing trend is twice as large as the area where it is aggravated. Only some local areas experienced desertification deterioration and fluctuation. Multivariate analysis reveals three key drivers affecting the evolution of regional land desertification: bioclimatic factors (temperature/precipitation), anthropogenic pressures (land use change/population density), and restoration initiatives (including Grain-for-Green Program, Grazing Ban Policy, Natural Forest Conservation Project, and Forest Ecological Compensation mechanisms). Among them, bioclimatic factors are influenced and constrained by topography and altitude. Bioclimatic factors show different correlation characteristics with desertification under different topography and altitudes. The impact of human activities on desertification is manifested in multiple aspects: firstly, the increase in population density exacerbates the development of the natural environment, leading to an exacerbation of land desertification; secondly, the direct transformation of land use by human activities can quickly cause changes in vegetation cover, leading to rapid improvement or deterioration of desertification; lastly, through the implementation of restoration initiatives, the ecological environment has been well protected and restored, and the trend of land desertification has been effectively suppressed.

    参考文献
    相似文献
    引证文献
引用本文

顾亚,张亚,段海川,文艺,邹祖建.基于OSAVI-Albedo特征空间的香格里拉市土地荒漠化时空动态监测.生态学报,,(). http://dx. doi. org/[doi]

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: