Feature analysis method for regional vegetation restoration

A vegetation restoration and feature analysis technology, applied in special data processing applications, instruments, data processing applications, etc., can solve the problems of long data acquisition time, high complexity of regional vegetation restoration evaluation methods, and small analysis scope.

Active Publication Date: 2019-04-12
XIAN UNIV OF TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a feature analysis method for regional vegetation restoration, which solves the problems of high complexity, long data acquisition time and small analysis range in existing regional vegetation restoration evaluation methods

Method used

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  • Feature analysis method for regional vegetation restoration
  • Feature analysis method for regional vegetation restoration
  • Feature analysis method for regional vegetation restoration

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Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0066] A feature analysis method for regional vegetation restoration of the present invention is specifically implemented according to the following steps:

[0067] Step 1. Determine the research area, collect annual precipitation data and annual NDVI remote sensing data from weather stations

[0068] The annual NDVI remote sensing data are all obtained by the maximum value synthesis method, and the operation steps are as follows:

[0069] Use the ArcGIS software Spatial Analyst Tools module Local tool Cell Statistics to gradually obtain the monthly and seasonal NDVI time series raster data according to the maximum value synthesis method, and finally obtain the annual NDVI time series raster data, and then use the ArcGIS software Spatial Analyst Tools module Map Algebra tool Raster Calculator converts annual NDVI time series raster data into...

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Abstract

The invention discloses a feature analysis method for regional vegetation restoration, and the method comprises the steps: determining a research region, and collecting annual rainfall data and annualNDVI remote sensing data of a meteorological station; performing statistical analysis on the annual vegetation coverage time sequence raster data according to the collected annual NDVI remote sensingdata; wherein the grid data, the grid data of which the vegetation coverage continuously increases, of the region, the grid data of which the vegetation coverage remarkably changes suddenly and the region with time stability are obtained through calculation, and the correlation grid data of the vegetation coverage with different remarkable levels and rainfall is the regional vegetation recovery comprehensive evaluation index. According to the characteristic analysis method for regional vegetation restoration, the vegetation restoration condition of a research region can be evaluated rapidly and simply by means of less data, and a scientific basis is provided for regional ecological construction decision.

Description

technical field [0001] The invention belongs to the technical field of ecological protection evaluation methods, and relates to a feature analysis method for regional vegetation restoration. Background technique [0002] With the rapid development of my country's industrialization and urbanization, the construction of socialism with Chinese characteristics and the continuous improvement of the economic level, people pay more and more attention to the ecological environment, and people's yearning for a better life is becoming stronger and stronger. Ecological problems such as threats, regional soil erosion and desertification intensification, and resource and environmental problems continue to be highlighted. [0003] Vegetation plays an important role in the energy exchange, water cycle, carbon cycle, biogeochemical cycle, and climate stability of the surface ecosystem. The change of vegetation coverage and its sensitivity to climate change play an important role in the study...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F16/29G06F16/2458
CPCG06Q10/0639G06Q50/26Y02A90/10
Inventor 李占斌贾路王飞超李鹏徐国策任宗萍张译心王斌刘昱张家欣谢梦瑶呼媛
Owner XIAN UNIV OF TECH
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