基于NDVI-Albedo特征空间的大同煤田荒漠化遥感监测

doi:10.13474/j.cnki.11-2246.2024.1009.

测绘通报 ›› 2024, Vol. 0 ›› Issue (10): 52-57.doi: 10.13474/j.cnki.11-2246.2024.1009.

基于NDVI-Albedo特征空间的大同煤田荒漠化遥感监测

肖育雷¹, 张宇飞^2,3,4, 杨文府^2,3,4,5

1. 中国矿业大学, 江苏徐州 221116;
2. 自然资源部矿业城市自然资源调查监测与保护重点实验室, 山西晋中 030600;
3. 山西省煤炭地质物探测绘院有限公司, 山西晋中 030600;
4. 地质灾害监测预警与防治山西省重点实验室, 山西晋中 030600;
5. 山西省煤炭地质勘查研究院有限公司, 山西太原 030032

收稿日期:2024-01-25 发布日期:2024-11-02
通讯作者: 张宇飞,E-mail:zyf15513998878@163.com
作者简介:肖育雷(1982—),男,博士生,主要从事土地管理研究。E-mail:2508103772@qq.com
基金资助:
国家自然科学基金(U22A20620);山西省基础研究计划青年科学研究项目(202203021212513)

Remote sensing monitoring of desertification in Datong coalfield based on NDVI-Albedo feature space

XIAO Yulei¹, ZHANG Yufei^2,3,4, YANG Wenfu^2,3,4,5

1. China University of Mining and Technology, Xuzhou 221116, China;
2. Key Laboratory of Survey, Monitoring and Protection of Natural Resources in Mining Cities, Ministry of Natural Resources, Jinzhong 030600, China;
3. Coal Geological Geophysical Exploration Surveying & Mapping Institute of Shanxi Province, Jinzhong 030600, China;
4. Shanxi Provincial Key Laboratory of Geological Hazard Monitoring, Early Warning and Prevention, Jinzhong 030600, China;
5. Coal Geological Exploration Research Institute of Shanxi Province, Taiyuan 030032, China

Received:2024-01-25 Published:2024-11-02

摘要/Abstract

摘要： 荒漠化是威胁区域发展和人类生存的重要生态环境问题之一,因此开展荒漠化监测是荒漠化防治中的一项重要基础工作。本文以山西大同煤田为例,利用NDVI-Albedo特征空间构建2000—2021年荒漠化差值指数(DDI),监测其荒漠化时空变化,并利用地理探测器分析荒漠化的影响因素。结果显示,2000—2021年,大同煤田荒漠化由严重向轻度转换,重度和极重度荒漠化面积显著减少,而轻度荒漠化面积显著增加。整体而言,有57.75%的区域荒漠化呈显著改善趋势,但同时有0.03%的区域荒漠化呈加剧趋势。地理探测结果表明,植被是影响荒漠化的主要因子;植被与降水、高程等自然因素交互后的影响显著增大,与土地利用、人口密度等人类活动因素交互后的影响同样不可忽视。

关键词: 荒漠化, 大同煤田, NDVI-Albedo特征空间, 时空动态监测

Abstract: Desertification is one of the important ecological and environmental problems that threatens regional development and human survival. Therefore, desertification monitoring is an important basic work in desertification prevention and control. This article takes the Datong coalfield in Shanxi as an example, uses the NDVI-Albedo feature space to construct the desertification difference index (DDI) from 2000 to 2021, monitors its spatiotemporal changes in desertification, and finally uses geographical detectors to analyze the influencing factors of desertification. The results show that from 2000 to 2021, the desertification of Datong coalfield changed from severe to mild, the area of severe and extremely severe desertification decreased significantly, and the area of mild desertification increased significantly. Overall, 57.75% of the regions showed a significant improvement in desertification, but at the same time, 0.03% of the regions showed an aggravating trend. The results of geographical detection show that vegetation is the main factor affecting desertification, and the impact of vegetation on natural factors such as rainfall and elevation has increased significantly. At the same time, the impact of vegetation on human activities such as land use and population density cannot be ignored.

Key words: desertification, Datong coalfield, NDVI-Albedo characteristic space, spatio-temporal dynamic monitoring

中图分类号:

P237

肖育雷, 张宇飞, 杨文府. 基于NDVI-Albedo特征空间的大同煤田荒漠化遥感监测[J]. 测绘通报, 2024, 0(10): 52-57.

XIAO Yulei, ZHANG Yufei, YANG Wenfu. Remote sensing monitoring of desertification in Datong coalfield based on NDVI-Albedo feature space[J]. Bulletin of Surveying and Mapping, 2024, 0(10): 52-57.

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基于NDVI-Albedo特征空间的大同煤田荒漠化遥感监测

Remote sensing monitoring of desertification in Datong coalfield based on NDVI-Albedo feature space

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