Urban greenness space evaluation method based on quantitative analysis of geographic detector
A technology of urban greenness space and quantitative analysis, which is applied in the field of urban greenness space evaluation based on quantitative analysis of geographic detectors, and can solve problems such as insufficient quantitative degree.
Pending Publication Date: 2022-02-08
AEROSPACE INFORMATION RES INST CAS +1
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[0006] Aiming at the problem of insufficient quantitative degree in the construction of urban green space evaluation model in existing research, the purpose of the present invention is to propose a method for urban green space evaluation based on quantitative analysis of geographical detectors
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[0018] The present invention "a method for evaluating urban green space based on quantitative analysis of geographic detectors" will be further elaborated below in conjunction with the accompanying drawings.
[0019] (1) Urban vegetation extraction and classification
[0020] Use ENVI to perform data preprocessing on GF-6PMS Level 1A data, including radiometric calibration, atmospheric correction, orthorectification, image fusion, image mosaic and cropping. Image segmentation, vegetation area extraction based on NDVI threshold, and image classification based on random forest can be realized by using Yikang software. Finally, convert the shp format classification results exported from Yikang software into tif format in ArcGIS.
[0021] Among them, the features used for random forest classification include spectral features of image objects, such as brightness, band mean, band standard deviation, vegetation index, etc.; texture features, that is, gray-level co-occurrence matrix...
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Landscape indexes are often used in urban greenness space ecological quality evaluation due to the fact that the landscape indexes have scientific connotation, however, when the urban greenness space evaluation indexes are constructed, previous research is only based on subjective judgment and statistical analysis between the landscape indexes, and quantitative research combined with the real urban ecological environment is lacked. In order to solve the problem, the invention provides an urban greenness space evaluation method based on quantitative analysis of a geographic detector, and the method comprises the following steps: 1) carrying out urban greenness space extraction and classification (arbors, shrubs and grassland) by using high-resolution remote sensing data; 2) inverting the surface temperature based on a radiation transfer equation; 3) carrying out 1km * 1km grid sampling, and calculating the average surface temperature and the urban greenness space landscape index of each grid; 4) calculating the interpretation rate q of each landscape index to the surface temperature by using a geographic detector; and 5) carrying out hierarchical structure construction and element priority discrimination of an analytic hierarchy process according to the interpretation rate q, obtaining the index weight of each landscape by resolving a judgment matrix, and constructing an urban greenness space evaluation model.
Description
technical field [0001] The present invention proposes a method for evaluating urban greenness space based on quantitative analysis of geographical detectors. The interpretation rate of urban greenness space landscape index to surface temperature can be obtained through the geographical detector model, and based on this as a reference, the construction of urban greenness Spatial Evaluation Model. This method is based on quantitative research on the real urban ecological environment, taking into account the subjectivity and objectivity of evaluation, and has a high reference value for urban green space evaluation and planning. Background technique [0002] In the process of urbanization, a series of human-nature interaction processes occurred, resulting in varying degrees of environmental problems in various cities (Mating 2019), including biodiversity loss, air quality deterioration, urban heat island effect, etc. (Doick et al. .2014; Guetté et al.2017; Lin and Zhu 2018). I...
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IPC IPC(8): G06Q10/06G06Q50/26G06V20/13G06T7/45G06V10/26G06V10/46G06V10/54G06V10/58G06V10/764G06V10/20G06K9/62G06F16/583G06F16/587
CPCG06Q10/0631G06Q50/26G06T7/45G06F16/5854G06F16/5862G06F16/587G06F16/583G06F18/24323
Inventor 孟庆岩汪雪淼张琳琳胡新礼
Owner AEROSPACE INFORMATION RES INST CAS