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17 May 2022 Research on land resources asset accounting based on mathematical statistics
Deliang Chen, Yan Wang, Yanyan Lu, Zhou Zhou
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Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122590X (2022) https://doi.org/10.1117/12.2638841
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
Based on the remote sensing image data of 2015 and 2018, supported by GIS software platform and spatial transfer matrix analysis, this paper makes statistics on the land use type transfer and change characteristics of Nanjing City from 2015 to 2018, and then estimates the value of land resources assets under the influence of Land-Use and Land-Cover Change(LUCC) in the past 3 years. The results are as follows: ① In the past 3 years, the regional land use structure has changed significantly that woodland and water have decreased significantly and the proportion of construction land has increased year by year. ② Land resource assets in Nanjing showed an upward trend, mainly in terms of economic and social values.③The expansion of new construction land led to over-consumption of land resources liabilities and a decrease in net land resources assets in 2018 compared to 2015. The results of the study are important scientific guidance for regional land resource use planning and sustainable environmental development.
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Deliang Chen, Yan Wang, Yanyan Lu, and Zhou Zhou "Research on land resources asset accounting based on mathematical statistics", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122590X (17 May 2022); https://doi.org/10.1117/12.2638841
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KEYWORDS
Ecosystems
Remote sensing
Analytical research
Data centers
Statistical analysis
Spatial resolution
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