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- W2242802545 abstract "In the land development project, the slope is an important index for evaluating the quality of cultivated land, and a key factor to measure the reasonable use of land. Using the spatial geographic information system (GIS) technology to analyze the cultivated slope information accurately is of great importance to the land resource survey, utilization and evaluation. Based on the DEM data source, spatial data processing, statistics and analysis function of the ArcGIS platform, the slope map in the project area can be quickly generated and the slope zoning area be statistically analyzed. Using this method, the slope rating measurement and a lot of complex cutting work could be automatically processed, which improves the speed, efficiency, accuracy and could effectively avoid the influence of human factors in the traditional method and artificial operation to save the manpower and material resources. The land development project in the Guanyin River Town of Hanyin County in Shaanxi Province is taken as an example to carry out the computing applications, the results show that: ①The analytical error is small, which can meet the precision and scale requirements of users, reduce the error caused by the randomicity and diversity of the results, reduce the impact of human subjective factor. ② The work efficiency is high. The whole process of computational analysis is completed by computer, with high efficiency, high speed, accurate precision and high availability, to reduce the impact on the statistical calculation error caused by human factors. Therefore, this study obtains a good effect and provides a new technology, a new method and a new way for the area statistical analysis of the slope division in the land development project. And it can be popularized and applied." @default.
- W2242802545 created "2016-06-24" @default.
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- W2242802545 date "2015-08-01" @default.
- W2242802545 modified "2023-09-23" @default.
- W2242802545 title "Slope partition area statistics in Land Development Project zone based on Geographic Information System and grid Digital Elevation Model" @default.
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- W2242802545 doi "https://doi.org/10.1109/fskd.2015.7382366" @default.
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