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Land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis

A vegetation canopy and spectral analysis technology, applied in the field of ecological water content monitoring, can solve the problems of poor current situation, no quantitative method for vegetation canopy ecological water, and difficulty in reflecting the status of vegetation canopy ecological water, so as to achieve real-time dynamic monitoring Effect

Inactive Publication Date: 2019-08-13
CHENGDU UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

Insufficient understanding of the complexity and dynamics of the ecological water of the vegetation canopy on the land surface, no systematic and accurate quantification method for the ecological water of the vegetation canopy, it is difficult to accurately describe the temporal and spatial characteristics and complexity of the ecological water layer of the vegetation canopy, and it is difficult to Accurately describe its distribution structure and quantify the water content of vegetation canopy ecological water
At the same time, for the harsh environment in western China (especially the Western Sichuan Plateau), the survey data obtained by conventional methods are not current, and it is difficult to reflect the latest ecological water conditions of vegetation canopies in the western region.

Method used

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  • Land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis
  • Land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis
  • Land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis

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Embodiment 1

[0061] The remote sensing inversion method for ecological water content of land surface vegetation canopy based on spectral analysis of the present invention comprises the following steps:

[0062] (1) Vegetation canopy spectral data measured in the field: mainly obtained through ASD FieldSpec FR portable spectrometer measurement, its effective spectral band range is 350nm-2500nm, spectral collection is selected in clear and cloudless weather, and the time is 10:00-14:00 In the process of spectral data collection, it is guaranteed to perform dark current elimination work at least once every 20 minutes to ensure the quality of data collection; in the process of spectral collection, each sampling point is calibrated with a whiteboard, and the calibration is performed every 5 minutes to effectively reduce the spectrum Error rate; each sample is collected 3 times during spectrum collection, and the spectral data is obtained after averaging processing, which effectively reduces erro...

Embodiment 2

[0086] Step 1. Based on the actual situation, establish the experimental research area of ​​this method, and finally select a certain area of ​​the Western Sichuan Plateau as the experimental research area.

[0087]Step 2. According to the scope and sampling principle of the research area, select appropriate field sampling points in the research area to collect the spectral and biochemical data of the vegetation canopy, that is, according to the above description, collect the vegetation canopy of each sampling point The spectral data of the samples, and then collect the canopy samples, put them into sealed plastic bags, and measure the fresh weight, dry weight, leaf area, etc. of the samples indoors; preprocess the spectral data of the vegetation canopy samples collected in the field, mainly Including spectral averaging, water vapor noise removal, spectral difference calculation, envelope removal, etc., related detailed operations are described in Example 1, and the data collec...

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Abstract

The invention discloses a land surface plant canopies ecological water content remote sensing retrieval method based on spectral analysis. The method comprises the following steps: (1) actually measuring plant canopies spectrum data and biochemical data, wherein the biochemical data comprises fresh weight, dry weight and leaf area; (2) preprocessing the actually measured spectrum data and performing spectrum feature extraction; performing moisture noise removing, spectrum differential computation and envelope line removing; (3) computing and extracting the required plant index according to theactually measured reflecting spectrum feature; (4) preforming correlation analysis on the plant field actually measured spectrum data and the biochemical data, and establishing the model of the computed plant index and the plant water content; and (5) analyzing the remote-sensing image spectrum feature, and realizing the plant canopies ecological water remote-sensing quantitative retrieval by combining the plant water content model established through the actually measured data. By utilizing the method disclosed by the invention, the dynamic monitoring on the plant canopies ecological water content can be realized, and the monitoring accuracy is high.

Description

technical field [0001] The invention relates to the field of ecological water content monitoring, in particular to a remote sensing inversion method for ecological water content of land surface vegetation canopy based on spectral analysis. Background technique [0002] Ecological water (layer) refers to the vegetation layer on the earth's surface, including the leaves, branches, roots, humus layer, surface vegetation root soil layer and the amount of water that can be intercepted (retained) or conserved by the plant itself. This part of water is mainly related to The vegetation on the earth's surface is closely related, and a special conversion zone or transition zone of the water cycle is formed around the vegetation layer. Its existence and movement forms are different from surface water and groundwater, and its water can be used for evaporation, adjustment and replenishment of surface and groundwater. [0003] Vegetation canopy water content refers to the ecological water...

Claims

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Application Information

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IPC IPC(8): G01N21/3554
CPCG01N21/3554
Inventor 杨武年巫明焱杨鑫雷俊杰简季李云霞戴晓爱潘佩芬黄瑾刘汉湖王玉兰万新南
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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