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Vegetation coverage early warning method

A vegetation coverage and data preprocessing technology, applied in structured data retrieval, instruments, analysis materials, etc., can solve problems such as inability to reflect vegetation coverage and changes

Pending Publication Date: 2020-03-27
内蒙古小草数字生态产业股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This application provides a method for early warning of vegetation coverage to solve the problem in the prior art that the early warning of vegetation coverage cannot be changed within a long period of time

Method used

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0022] Vegetation coverage Vegetation coverage refers to the percentage of the vertical projected area of ​​vegetation (including leaves, stems, and branches) on the ground to the total area of ​​the statistical area.

[0023] The measurement of vegetation coverage can be divided into two methods: ground measurement and remote sensing estimation. Ground measurements are often used at the field scale, and remote sensing estimates are often used at ...

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PUM

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Abstract

The invention discloses a vegetation coverage early warning method. The method specifically comprises the following steps of preprocessing the remote sensing data, calculating to obtain the vegetationcoverage according to a preset algorithm, and projecting to form a grid map; calculating a vegetation coverage mean value of a preset period year in the grid map, and drawing a mean value grid map inthe preset period year; and calculating the vegetation coverage standard deviation of the grid data in the mean grid map, and drawing and outputting a difference grid map according to the mean valueand the standard deviation of the grid data. The beneficial effects of the invention are that the early warning or normal use is distinguished and marked with different colors or shadows in the difference grid map, and then is drawn in the corresponding grid data, so that the early warning or normal conditions of the vegetation coverage of a to-be-detected area can be directly revealed, and the area needing ecological restoration is further accurately recognized; based on a geographic information system, the seamless link when the correlation analysis is carried out with other meteorological index data, such as rainfall, accumulated temperature, etc., is realized.

Description

technical field [0001] This application relates to the field of land resources and ecological environment monitoring and evaluation, in particular to a method for early warning of vegetation coverage. Background technique [0002] Vegetation coverage refers to the percentage of the vertical projected area of ​​vegetation (vegetation fractional cover, FC) (including leaves, stems, and branches) on the ground to the total area of ​​the statistical area. The measurement of vegetation coverage can be divided into two methods: ground measurement and remote sensing estimation. Ground measurements are often used at the field scale, and remote sensing estimates are often used at the regional scale. [0003] At this stage, people can only know the status quo data of vegetation coverage, that is, use remote sensing image data to generate regional vegetation coverage status data through GIS or ENVI band calculations. Some scholars use the combination of vegetation coverage and other ...

Claims

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Application Information

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IPC IPC(8): G01N21/55G06F16/29
CPCG01N21/55G06F16/29G01N2021/1797Y02A90/10
Inventor 王保林哈斯尔孙广福白耀华景文道力格亚张全民敖一杰
Owner 内蒙古小草数字生态产业股份有限公司
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