Overground vegetation ecological water quantitative inversion method based on remote sensing technology

A remote sensing technology and vegetation technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve the problems of not considering plant structure parameter information and inaccurate vegetation ecological water content, so as to improve the accuracy and accuracy of remote sensing inversion. High performance, solve the effect that is difficult to quantify

CN110222656AActive Publication Date: 2019-09-10CHENGDU UNIVERSITY OF TECHNOLOGY
8 Cites 4 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2019-09-10

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an overground vegetation ecological water quantitative inversion method based on a remote sensing technology. The method is based on a Sentinel 2A optical remote sensing imageand a Sentinel 1A microwave remote sensing image. Overground vegetation ecological water in the Sichuan-Western plateau local area is inverted by adopting a BP artificial neural network model. The scientific problem that the content of the inversed vegetation ecological water is inaccurate due to the fact that existing overground vegetation ecological water inversion only considers vegetation canopy surface layer information and does not consider plant structure parameter information is solved, and the result shows that the overground vegetation ecological water calculation method based on thebiomass method is scientific and accurate. The method mainly adopts a biomass method to scientifically research the ecological water content of overground vegetation, and comprises the steps of fielddata acquisition, water content and biomass calculation, overground vegetation ecological water calculation, modeling and inversion of the ecological water content of a research area according to a BP artificial neural prediction model.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of ecological water quantitative research, in particular to a method for quantitative inversion of aboveground vegetation ecological water based on remote sensing technology. Background technique

[0002] Ecological water (layer) is essentially different from concepts such as "ecological water demand" and "biological water" in general literature. Ecological water (layer) refers to the relationship between surface vegetation (including stem layer of vegetation leaf surface, root soil layer and humus layer). It is a water storage body closely related to precipitation, which can buffer, distribute and regulate precipitation. It is an important link in the hydrological cycle, and it is also a research hotspot and difficulty.

[0003] Vegetation water content is an important part of ecological water (layer). Since traditional remote sensing techniques used to estimate vegetation water content are mostly based on ...

Examples

Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples and accompanying drawings. As a limitation of the present invention.

[0044] In this embodiment, local areas of the western Sichuan plateau are taken as an example, and according to the technical solution of the present invention, the calculation formula of vegetation ecological water is combined. Using multi-temporal multi-spectral remote sensing and microwave remote sensing (SAR) technology to invert the ecological water content of different types of plants on the ground, the steps are as follows:

[0045] Step 1: Scientifically select the research area and delineate the sample plot.

[0046] In this example, a part of the Western Sichuan Plateau is selected as the research area, and the sample area is a sample circle with a radius of 5 meters.

[0047] Step 2: Field data ...