RETRACTED ARTICLE: Optimization effect of ecological restoration based on high-resolution remote sensing images in the ecological construction of soil and water conservation

Fan, Tingyu; Wang, Shun; Wang, Xingming; Chen, Xiaoyang

doi:10.1007/s12652-021-03115-x

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Remote sensing technology has the advantages of large area coverage and multi-scale capabilities, which enables rapid perception and acquisition of radiometric information from different components of the ecosystem, such as soil, lake water areas, vegetation, and buildings. Therefore, it is widely used in ecosystem surveys and assessments [12][13][14][15]. Similar research and applications are being conducted not only in China but also in the United States and other parts of the world [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Shi,

Lin,

Jing

et al. 2023

Sustainability

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Ecosystems in arid and semi-arid areas are delicate and prone to different erosive effects. Monitoring and evaluating the environmental ecological condition in such areas contribute to the governance and restoration of the ecosystem. Remote sensing ecological indices (RSEIs) are widely used as a method for environmental monitoring and have been extensively applied in various regions. This study selects the arid and semi-arid Loess Plateau as the research area, in response to existing research on ecological monitoring that predominantly uses vegetation indices as monitoring indicators for greenness factors. A fluorescence remote sensing ecological index (SRSEI) is constructed by using monthly synthesized sun-induced chlorophyll fluorescence data during the vegetation growth period as a new component for greenness and combining it with MODIS product data. The study generates the RSEI and SRSEI for the research area spanning from 2001 to 2021. The study compares and analyzes the differences between the two indices and explores the evolution patterns of the ecosystem quality in the Loess Plateau over a 21-year period. The results indicate consistent and positively correlated linear fitting trend changes in the RSEI and SRSEI for the research area between 2001 and 2021. The newly constructed ecological index exhibits a higher correlation with rainfall data, and it shows a more significant decrease in magnitude during drought occurrences, indicating a faster and stronger response of the new index to drought in the research area. The largest proportions are found in the research area’s regions with both substantial and minor improvements, pointing to an upward tendency in the Loess Plateau’s ecosystem development. The newly constructed environmental index can effectively evaluate the quality of the ecosystem in the research area.

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Section: Introductionmentioning

confidence: 99%

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Shi,

Lin,

Jing

et al. 2023

Sustainability

View full text Add to dashboard Cite

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“…Ecological environment quality directly affects human lifestyles and sustainable socioeconomic development [1][2][3]. In the past decades, rapid urbanization and socioeconomic development has changed ecosystem processes [4], causing a series of environmental issues such as forest degradation, soil erosion, and desertification [5][6][7]. Ecosystem restoration improves sustainable development and the environment.…”

Section: Introductionmentioning

confidence: 99%

Evidence for Urbanization Effects on Eco-Environmental Quality: A Case Study of Guyuan City, China

Zhao

Han

et al. 2023

Sustainability

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Achieving sustainable development and a good quality of life depends largely on the state of the ecological environment. This research is centered on Guyuan City and examines the changes in the ecological environment quality across space and time, based on Landsat imagery and the remote sensing ecological environment index (RSEI) between 2000 and 2019. Correlation analysis and partial least squares structural equation modeling was used to investigate the environmental and human factors that affect the quality of the ecological environment. The results indicate a significant reduction in areas with a very-poor-quality ecological environment and a significant increase in excellent ecological environment management from 2000 to 2019, especially in eastern Guyuan City. The low-value area of the RSEI index gradually shifted from eastern counties to western areas relative to Guyuan City, exhibiting a significant change from a high-cluster distribution to a significantly discrete distribution. Elevation, precipitation, and total organic carbon showed significantly positive correlations with the RSEI, while temperature, land use, and pH showed significantly negative correlations. This study also reveals that topography and climate change have a positive impact on ecological changes, and urbanization is becoming less limiting for ecological improvement. In future ecological construction processes, emphasis should be placed on the terrain and climatic conditions to maximize the restoration of the ecological environment affected by urban construction. This work provides regional guidance for future sustainable development and high-quality development in the Yellow River Basin.

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Evolution of Small and Micro Wetlands and Their Driving Factors in the Yangtze River Delta—A Case Study of Wuxi Area

et al. 2023

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Understanding the long-term dynamics and driving factors behind small and micro wetlands is critical for their management and future sustainability. This study explored the impacts of natural and anthropogenic factors on the spatiotemporal evolution of these areas in Wuxi area using the support vector machine (SVM) classification method and the geographic detector model based on Landsat satellite image data from 1985 to 2020. The results revealed that: (1) Natural wetlands were prominent in Wuxi area, with an average proportion of 70%, and although they exhibited a downward trend over the last ten years, the scale of natural small and micro wetlands increased 1.5-fold—from 4349.59 hm2 in 1985 to 10,841.59 hm2 in 2020. (2) The small and micro wetlands in Wuxi area had obvious seasonal variations, with most being 0.1–1 hm2 and 1–3 hm2, respectively. From the perspective of spatial distribution, they were primarily distributed in Yixing district, which accounts for 34% of Wuxi area. (3) The distribution of small and micro wetlands was systematically affected by natural and human activities. The main factors that affected the distribution of small and micro wetlands were the average annual temperature and GDP, with the interactions between all factors being nonlinear and bi-linear. The influences of natural factors on small and micro wetlands were weakened, with human activities steadily emerging as the dominant factor that affected their distribution. The results of this study can provide supportive data and a scientific basis for the ecological restoration and protection of wetlands.

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RETRACTED ARTICLE: Optimization effect of ecological restoration based on high-resolution remote sensing images in the ecological construction of soil and water conservation

Cited by 3 publications

References 16 publications

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Evidence for Urbanization Effects on Eco-Environmental Quality: A Case Study of Guyuan City, China

Evolution of Small and Micro Wetlands and Their Driving Factors in the Yangtze River Delta—A Case Study of Wuxi Area

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