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Method for estimating future vegetation index of region under climate change scene

A technique of vegetation index and climate change, which is applied in data processing applications, climate sustainability, forecasting, etc., and can solve the problems that the prediction method of vegetation index in the future is still blank

Pending Publication Date: 2020-09-08
FUZHOU PLANNING DESIGN & RES INST
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0003] At present, the research on climate change and vegetation index focuses more on the response relationship between the two, and the research focuses on historical data, while the research on the prediction method of future vegetation index is still blank

Method used

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  • Method for estimating future vegetation index of region under climate change scene
  • Method for estimating future vegetation index of region under climate change scene
  • Method for estimating future vegetation index of region under climate change scene

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0042] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention relates to a regional future vegetation index estimation method applied to a climatic change scene, which comprises the following steps: firstly, preliminarily selecting characteristic variables, then generating a sample, and setting key parameters of a model; calling a random forest model in a Sklearn machine learning library through Python, and inputting sample data S for model training; secondly, performing random forest model prediction performance evaluation; sDSM forecasting factor screening is carried out; calibrating and verifying the SDSM model; constructing a forecasting factor set of the random forest model; and finally, inputting the generated forecasting factor set into a trained random forest model to carry out future vegetation index estimation under the influence of climate change. According to the method, the future vegetation index of the region can be estimated according to different weather change scenes in the future.

Description

technical field [0001] The invention relates to the field of ecological environment quality assessment, in particular to a method for estimating regional future vegetation indices under climate change scenarios. Background technique [0002] The current global climate is undergoing significant changes characterized by warming. The IPCC Fifth Assessment Report pointed out that the average global surface temperature increased by 0.85°C from 1880 to 2012. Relevant studies have pointed out that meteorological variables such as temperature and precipitation are important environmental factors affecting the growth and development of vegetation, and the vegetation index reflects the state of vegetation growth and is an important indicator of the quality of the regional ecological environment. [0003] At present, the research on climate change and vegetation index is more focused on the response relationship between the two, and the research focuses on historical data, while the re...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62
CPCG06Q10/04G06F18/24323Y02A90/10
Inventor 夏继勇高学珑蒋艳君王文奎陈奕蔡辉艺牟宇峰
Owner FUZHOU PLANNING DESIGN & RES INST
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