Method of Ecological Risk Assessment for Land Use Based on Remote Sensing Image

2021 ◽  
Vol 7 (6) ◽  
pp. 6228-6246
Author(s):  
Ling Chai

Ecological risk assessment for land use can provide the basis for scientific evaluation of the impact of current human activities on land and its ecological effects. For the issue on ecological risk of land use, the method of ecological risk assessment for land use based on remote sensing image is proposed. Using remote sensing image as the main data of land use change and ecological effects, the land use situation is classified by pre-processing and analysis of remote sensing image. Combined with the estimation of solar radiation, spatial interpolation of meteorological data, atmospheric correction and geometric fine correction operations, remote sensing data is processed to improve the classification accuracy of the target area. According to the remote sensing image of land use and the analysis results of the data, as well as the dynamic model and the comprehensive evaluation conceptual model for land use, the multi-indicator assessment framework of ecological risk for land use is designed and the risk indicator system is constructed. Furthermore, the ecological risk assessment for land use in the entire region and sub-regions is completed. The research results show that the proposed method can effectively realize the ecological risk assessment for land use in the study area, which has good robustness.

Forests ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1157
Author(s):  
Yuxin Ji ◽  
Zhongke Bai ◽  
Jiawei Hui

The ecological environment is suffering from great human disturbance. Scientific assessment of landscape ecological risks can provide scientific guidance for land use management. This study focused on Chaoyang County in China, used ecological risk assessment methods to characterize the impact of land use/land cover (LUCC) change, and revealed the risk aggregation pattern with the help of spatial autocorrelation analysis. The results showed that ecological risk was increased from 2000 to 2010 but decreased from 2010 to 2018. The ecological risk of the Daling River and Xiaoling River basin was at a relatively high level, and low in the northwest and southeast of the study which covered by forest land. Occupying cultivated land for built-up and large-scale deforestation were two of the main factors to contribute to the increase of ecological risk. The distribution of High-High (HH) and Low-Low (LL) risk agglomeration areas was basically the same as risk levels, but the scope is smaller and more precise. Thus, HH and LH risk agglomeration area should be paid more attention to prevent the adverse impact of adjacent areas. Our study gave a novel perspective to investigate the pattern of ecological risk in order for government managers to identify key risk areas.


Chemosphere ◽  
2021 ◽  
Vol 263 ◽  
pp. 128061
Author(s):  
Débora J. Pérez ◽  
Fernando G. Iturburu ◽  
Gabriela Calderon ◽  
Lía A.E. Oyesqui ◽  
Eduardo De Gerónimo ◽  
...  

2020 ◽  
Vol 35 (3) ◽  
pp. 576
Author(s):  
WANG Jie ◽  
BAI Wan-qi ◽  
TIAN Guo-hang

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Min Guo ◽  
Shijun Wang

The agro-pastoral ecotone, an ecological transition zone connecting adjacent areas of agricultural planting area and grassland animal husbandry, has three features: a complex natural condition, relatively pronounced population pressure, and a fragile ecological environment. In this study, we conducted an ecosystem risk assessment in the western part of Jilin Province, China, based on multiscale and multitemporal remote sensing images and land-use data. Furthermore, we focused on land-use change from 1995 to 2015 by applying the dynamic change information survey method and carrying out a transfer track analysis. The results revealed three main findings. (1) The ecological risk index at the scale of 3 km × 3 km harbors significant spatial correlation. (2) The ecological risk index of unutilized land, forest land, and grassland is relatively high for each, and their anti-interference ability is weak, while the ecological risk index of construction land and water area is the lowest. (3) Human interference, e.g., construction activities and cultivated land occupation, is the leading factor driving the exacerbation of ecological risk and frequent land-use type conversions. At the study period’s end, a trend of slight contraction in the high-risk areas was found, indicating that land-use regulation and land protection policies have had significantly positive impact upon the lands’ ecological value. The overall study identified a reasonable research scale for eco-environmental risk assessment and discerned relationships between regional land-use changes through geospatial analysis. Moreover, our findings can help provide practical case study information applicable to similar regions with agro-pastoral ecotones.


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