干旱区研究 ›› 2023, Vol. 40 ›› Issue (3): 504-516.doi: 10.13866/j.azr.2023.03.16 cstr: 32277.14.j.azr.2023.03.16

• 生态与环境 • 上一篇    

基于GEE的翁牛特旗土地沙漠化遥感监测

马浩文1,2(),王永芳1,2,3(),郭恩亮1,2   

  1. 1.内蒙古师范大学地理科学学院,内蒙古 呼和浩特 010022
    2.内蒙古自治区蒙古高原灾害与生态安全重点实验室,内蒙古 呼和浩特 010022
    3.蒙古高原气候变化与区域响应高校重点实验室,内蒙古 呼和浩特 010022
  • 收稿日期:2022-06-09 修回日期:2022-08-10 出版日期:2023-03-15 发布日期:2023-03-31
  • 作者简介:马浩文(1999-),男,硕士研究生,主要从事沙漠化遥感监测方面的研究. E-mail: chnmahaowen@163.com
  • 基金资助:
    内蒙古自治区自然科学基金(2021BS04008);内蒙古自治区自然科学基金(2019MS04010);内蒙古师范大学基本科研业务费专项资金(2022JBQN092);内蒙古师范大学高层次人才科研启动经费项目(2019YJRC003)

Remote sensing monitoring of aeolian desertification in Ongniud Banner based on GEE

MA Haowen1,2(),WANG Yongfang1,2,3(),GUO Enliang1,2   

  1. 1. College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, Inner Mongolia, China
    2. Inner Mongolia Key Laboratory of Disaster and Ecological Security on the Mongolian Plateau, Hohhot 010022, Inner Mongolia, China
    3. University Key Laboratory of Climate Change and Regional Response in Mongolian Plateau, Hohhot 010022, Inner Mongolia, China
  • Received:2022-06-09 Revised:2022-08-10 Published:2023-03-15 Online:2023-03-31

摘要:

基于谷歌地球引擎(Google Earth Engine,GEE),通过提取归一化植被指数(Normalized Difference Vegetation Index,NDVI)和地表反照率(Albedo)两个参量,构建NDVI-Albedo特征空间,对翁牛特旗1991—2015年沙漠化进行监测,并利用地理探测器结合自然和人为因子分析翁牛特旗沙漠化驱动因子及其影响力。结果表明:(1) 翁牛特旗土地沙漠化经历了先发展后逆转的演变进程。1991—2000年为发展期,沙漠化土地总面积增加了2130.29 km2;2000—2015年为逆转期,沙漠化土地总面积减少了3364.61 km2。(2) 翁牛特旗沙漠化严重的区域主要是分布在中东部以及北部的西辽河平原地区,而西南区域的冀北辽西山地大部分区域沙漠化程度较轻。(3) 自然因子和人为因子共同驱动翁牛特旗沙漠化演变过程。地形和沙源是翁牛特旗沙漠化土地空间分布格局形成的主要原因;翁牛特旗1991—2000年沙漠化发展是在自然条件不利的背景下人口增加所带来的环境压力造成的结果,而2000—2015年沙漠化逆转是在自然条件利好的背景下一系列防沙治沙政策有效实施的结果。

关键词: GEE, 沙漠化, NDVI-Albedo特征空间, 地理探测器, 科尔沁沙地

Abstract:

In this study, google earth engine (GEE) was used to extract the normalized difference vegetation index (NDVI) and Albedo parameters. The NDVI-Albedo space was constructed to monitor aeolian desertification in Ongniud Banner from 1991 to 2015, and the influence of key driving factors and mechanism of aeolian desertification in Ongniud Banner were analyzed using geographical detectors combined with natural and anthropogenic factors. The following key results were obtained: (1) Aeolian desertification in Ongniud Banner first experienced the development of evolution process, which then was reversed. During the development period from 1991 to 2000, the total area of aeolian desertified land increased by 2130.29 km2, with extremely severe changes in both aeolian and non-aeolian desertified land, which had dynamic attitudes of 9.5 and -4.8, respectively. From 2000 to 2015, the total desertified land area of aeolian decreased by 3364.61 km2, and the extreme severe aeolian and non-aeolian desertification land were the main changes, with dynamic attitudes of -4.2 and 8.3, respectively; (2) The extreme areas of aeolian desertification in the Ongniud Banner were mainly distributed in the central east and the north of Xiliaohe Plain, while the aeolian desertification in most areas of Jibeiliaoxi Mountain in southwest region is relatively light. From the perspective of transfer, the development area of various types of aeolian desertification land was 5333.75 km2, while the reversed area from 1991 to 2000 was 1157.29 km2. Notably, the non-aeolian desertified to moderate aeolian desertified land area was the largest covering 1000.24 km2. From 2000 to 2015, the development area of all types of aeolian desertified land was only 424.65 km2, while the reversed area was 7041.80 km2. The area of moderate desertified land covering 1449.74 km2 was reverted to non-desertified land; (3) From 1991 to 2000, both natural and anthropogenic factors drove the aeolian desertification process in the study area, with terrain and sand source as the main reasons for the formation of spatial distribution pattern of aeolian desertified land in Ongniud Banner. The warm and dry climate conditions, as well as intensified human activities led to the development of aeolian desertification in Ongniud Banner. From 2000 to 2015, aeolian desertification reversal was driven by the implementation of a series of anti-desertification policies and the improvement of natural conditions.

Key words: GEE, aeolian desertification, NDVI-Albedo space, geographical detector, Horqin Sandy Land