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Granularity adaptive grid sampling method for green land ecological evaluation unit

An evaluation unit and self-adaptive technology, applied in the field of computer algorithms, can solve the problem of automatic matching of satellite image data sources that cannot be automatically distinguished, and achieve the effects of high algorithm efficiency, accurate data selection, and accurate and reasonable calculation.

Inactive Publication Date: 2015-03-25
FUDAN UNIV
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Problems solved by technology

[0003]In order to overcome the deficiency that the existing grid sampling method for green space ecological evaluation cannot automatically distinguish between the objects of green space ecological evaluation and the satellite image data sources with different resolutions , the present invention provides a grid sampling method for green space ecological evaluation units based on image data. The method can not only automatically retrieve multi-source satellite image data sources in massive space image databases, but also can automatically Select a satellite data source that is compatible with the evaluation index, and set multiple resolution grid evaluation units and polygon evaluation units for the evaluation object

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  • Granularity adaptive grid sampling method for green land ecological evaluation unit
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Embodiment 1

[0024] In the "Eleventh Five-Year" National Science and Technology Support Plan of the Ministry of Housing and Urban-Rural Development Building Energy Conservation and Science and Technology Department "Research and Demonstration of Key Technologies for Urban Green Space Ecological Construction and Management and Control", the present invention is based on the scene of green space ecological evaluation. According to the type of evaluation index, On the basis of automatically identifying the resolution of remote sensing image data sources, considering the characteristics of each band of remote sensing images and the linear correlation between the spectral emission characteristics of plants and the distribution density of plants, the relationship between the ecological benefit index and the scale is calculated, and the granularity division standard is established.

[0025] According to the ecological benefits of a small number of ground survey plots in the monitoring area and the ...

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Abstract

The invention belongs to the technical field of urban ecological researches, and provides a granularity adaptive grid sampling method for a green land ecological evaluation unit in order to overcome the shortcoming that automatic matching between a green land ecological evaluation object and satellite image data sources with different resolutions cannot be distinguished automatically by using the conventional grid sampling method for the green land ecological evaluation unit. According to the method, multi-source satellite image data sources can be automatically searched in a large number of spatial image databases, and the satellite data sources matched with an evaluation index can be automatically selected conveniently according an index characteristic of the green land ecological evaluation object; and grid evaluation units with a plurality of resolutions and polygonal evaluation units are set for the evaluation object.

Description

technical field [0001] The invention belongs to the technical field of computer algorithms, and in particular relates to a grid sampling method for green space ecological evaluation units based on image data, especially a grid sampling method capable of realizing self-adaptive granularity according to data types and research objects under massive image data. Background technique [0002] At present, a lot of research has been carried out on the functions of urban green space at home and abroad from various aspects, and different test methods have been adopted under different site conditions, and many quantitative values ​​have been obtained. , dry weight of leaves, leaf area, green viewing rate, vertical green coverage area, per capita public green space rate, three-dimensional greening volume, annual tourist volume and other indicators. However, traditional evaluation methods are based on a single category of remote sensing data (such as TM / ETM data) when extracting indicat...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 王祥荣王伟樊正球凌焕然宋珂
Owner FUDAN UNIV