Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s12665-023-10950-y |
Spatio-temporal distribution and trends monitoring of land desertification based on time-series remote sensing data in northern China | |
Zhao, XiangWei; Yu, MengLi; Pan, Shun; Jin, FengXiang; Zou, DeXu; Zhang, LiXing | |
通讯作者 | Pan, S |
来源期刊 | ENVIRONMENTAL EARTH SCIENCES
![]() |
ISSN | 1866-6280 |
EISSN | 1866-6299 |
出版年 | 2023 |
卷号 | 82期号:11 |
英文摘要 | Land desertification is a significant research area among current global ecological and environmental issues. Desertification not only affects the ecological environment, but is also closely related to human society. With the development of new technology, outstanding progress has been made in the development of desertification monitoring and evaluation indicators. The objective of this study was to assess the trends and distribution of land desertification in northern China using time-series GIMMS NDVI 3 g and MODIS-NDVI remote sensing data from 1991 to 2019. The Dimidiate Pixel Model was chosen to calculate the Vegetation Coverage Index (VCI). The Sen's slope estimator and the Mann-Kendall statistical test were used to analyze the spatial trends of the VCI. The residual trend method was applied to assess human and climate factor induced land degradation. Data from the study area showed that the total area of desertification in northern China decreased year by year from 1991 to 2019, but the area of very severe desertification demonstrated an increasing trend. At the same time, areas of severe, moderate, and mild desertification showed a decreasing trend. From the overall analysis, a trend of overall decrease and local aggravation of land desertification was revealed. The residual analysis showed that desertification control measures and favorable climatic conditions have played key roles in the process of desertification reversion; while climate fluctuations, reclamation and livestock have led to the development of further desertification. |
英文关键词 | Land degradation Sen's slope estimator Mann-Kendall statistical test Vegetation Coverage Index (VCI) Dimidiate Pixel Model (DPM) RESTREND residual analysis |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000991987000002 |
WOS关键词 | HORQIN SANDY LAND ; AEOLIAN DESERTIFICATION ; CLIMATE-CHANGE ; NDVI ; DYNAMICS ; REGION ; CLASSIFICATION ; PRECIPITATION ; RAJASTHAN ; DROUGHT |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/396122 |
推荐引用方式 GB/T 7714 | Zhao, XiangWei,Yu, MengLi,Pan, Shun,et al. Spatio-temporal distribution and trends monitoring of land desertification based on time-series remote sensing data in northern China[J],2023,82(11). |
APA | Zhao, XiangWei,Yu, MengLi,Pan, Shun,Jin, FengXiang,Zou, DeXu,&Zhang, LiXing.(2023).Spatio-temporal distribution and trends monitoring of land desertification based on time-series remote sensing data in northern China.ENVIRONMENTAL EARTH SCIENCES,82(11). |
MLA | Zhao, XiangWei,et al."Spatio-temporal distribution and trends monitoring of land desertification based on time-series remote sensing data in northern China".ENVIRONMENTAL EARTH SCIENCES 82.11(2023). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。