Construction of a Desertification Composite Index and Its Application in the Spatiotemporal Analysis of Land Desertification in the Ring-Tarim Basin over 30 Years

Desertification is one of the most severe environmental issues facing the world today, and effective desertification monitoring is critical for understanding its dynamics and developing prevention and control strategies. Although numerous studies on desertification monitoring using remote sensing have been conducted, there remain differences in indicator selection, and a unified monitoring system has yet to be established. In this study, we constructed the Desertification Composite Index (DCI) using Landsat satellite images, integrating six remote sensing indicators reflecting the natural and ecological characteristics of desertified areas. We also incorporated 383 UAV imagery datasets to accurately identify and analyze the spatial and temporal distributions of desertification in the Ring-Tarim Basin from 1990 to 2020 and subsequently assess its spatiotemporal trends. The results show the following: (1) The constructed DCI was used to identify desertification in 2020, achieving an overall accuracy of 0.86 and a Kappa coefficient of 0.8, indicating that the DCI is suitable for extracting regional desertification information. (2) From 1990 to 2020, the area of desertification decreased significantly, with an average annual reduction rate of −0.0022 ha/a, indicating continuous ecological improvement. Despite localized deterioration, the overall trend was one of “general improvement and local containment.” (3) GeoDetector-based analysis showed that cultivated land area and land use type were the primary single-factor drivers of desertification. The interaction between cultivated land and vegetation type exhibited a synergistic effect as a two-factor driver. (4) Desertification in the Ring-Tarim Basin is primarily influenced by human activities. Appropriate management and intervention measures, efficient and intensive cropland management, and rational land use planning can help develop effective strategies to combat desertification.

Authors

Institutions

Publication Details

Journal
Remote Sensing
Published
2025-02-13
DOI
https://doi.org/10.3390/rs17040644
Citations
4
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
5.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction of a Desertification Composite Index and Its Application in the Spatiotemporal Analysis of Land Desertification in the Ring-Tarim Basin over 30 Years

Shuang-lian Feng, Yiming Feng, Lei Xi, Xiaoming Cao et al.
4 citations
Remote Sensing
Remote Sensing and Land Use
5.20
article

Construction of a Desertification Composite Index and Its Application in the Spatiotemporal Analysis of Land Desertification in the Ring-Tarim Basin over 30 Years

Shuang-lian Feng, Yiming Feng, Lei Xi, Xiaoming Cao, Mengcun Cui, Qi Zhao, Jiaxiu Zou
article en
4 citations

Abstract

Desertification is one of the most severe environmental issues facing the world today, and effective desertification monitoring is critical for understanding its dynamics and developing prevention and control strategies. Although numerous studies on desertification monitoring using remote sensing have been conducted, there remain differences in indicator selection, and a unified monitoring system has yet to be established. In this study, we constructed the Desertification Composite Index (DCI) using Landsat satellite images, integrating six remote sensing indicators reflecting the natural and ecological characteristics of desertified areas. We also incorporated 383 UAV imagery datasets to accurately identify and analyze the spatial and temporal distributions of desertification in the Ring-Tarim Basin from 1990 to 2020 and subsequently assess its spatiotemporal trends. The results show the following: (1) The constructed DCI was used to identify desertification in 2020, achieving an overall accuracy of 0.86 and a Kappa coefficient of 0.8, indicating that the DCI is suitable for extracting regional desertification information. (2) From 1990 to 2020, the area of desertification decreased significantly, with an average annual reduction rate of −0.0022 ha/a, indicating continuous ecological improvement. Despite localized deterioration, the overall trend was one of “general improvement and local containment.” (3) GeoDetector-based analysis showed that cultivated land area and land use type were the primary single-factor drivers of desertification. The interaction between cultivated land and vegetation type exhibited a synergistic effect as a two-factor driver. (4) Desertification in the Ring-Tarim Basin is primarily influenced by human activities. Appropriate management and intervention measures, efficient and intensive cropland management, and rational land use planning can help develop effective strategies to combat desertification.

Remote SensingVol. 17(4)
Hunan University (CN), Chinese Academy of Forestry (CN), State Forestry and Grassland Administration (CN), Institute of Desertification Studies (CN)
Openalex Percentile: Top 5%
Remote Sensing and Land Use
5.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.