Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Winter wheat dynamic harvest index remote sensing estimation method obtained based on D-fG parameter remote sensing

A technology of harvest index and winter wheat, which is applied in calculation, data processing application, color/spectral characteristic measurement, etc., and can solve problems such as unrealized index information acquisition.

Active Publication Date: 2022-03-18
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above methods are simple and easy to implement, and the required time series of remote sensing data is relatively short and easy to obtain, which is conducive to the practical application of the method. However, the above methods are only aimed at the estimation of the harvest index at the mature stage, and none of them realize the dynamic change process index information of the harvest index change. acquisition, which needs to be further strengthened

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Winter wheat dynamic harvest index remote sensing estimation method obtained based on D-fG parameter remote sensing
  • Winter wheat dynamic harvest index remote sensing estimation method obtained based on D-fG parameter remote sensing
  • Winter wheat dynamic harvest index remote sensing estimation method obtained based on D-fG parameter remote sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be described in detail below in conjunction with specific embodiments.

[0059] 1 Materials and methods

[0060] 1.1 Study area and experimental design

[0061] The field test of the present invention is set at the demonstration base of agricultural environment comprehensive experiment in Shunyi District, Beijing (116°92'~116°94'E, 40°05'~40°06'N). The study area belongs to the warm temperate semi-humid continental monsoon climate, with an annual average temperature of about 11.5°C, an annual average precipitation of about 625mm, an annual sunshine of about 2750 hours, and a frost-free period of about 195 days. The main cropping system in the study area is winter wheat-summer maize double cropping system. For the location map of the research area, see figure 1 .

[0062] In order to obtain winter wheat observation crops with different growth and growth states, considering that the current growth and yield of winter wheat in the research ar...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a D-fG parameter remote sensing acquisition-based winter wheat dynamic harvest index remote sensing estimation method, which is based on a winter wheat field control experiment and provides a dynamic parameter D-fG of a ratio between overground biomass accumulated in different periods from a flowering period to a mature period and overground biomass in a corresponding period. A sensitive wave band center and an optimal wave band combination for D-fG estimation are screened out according to a correlation between a narrow wave band spectral index NDSI constructed by crop canopy hyperspectral data and D-fG, so that accurate estimation of D-fG by using the canopy hyperspectrum is realized. Finally, based on D-fG parameter remote sensing information and a quantitative relation between actually-measured D-fG and an actually-measured dynamic crop harvest index (D-HI), optimal estimation of the winter wheat crop harvest index based on canopy hyperspectral remote sensing is realized, so that the estimation precision and level of the winter wheat harvest index are further improved, and the method is suitable for popularization and application. And a theoretical basis and a technical reference are provided for high-precision acquisition of the crop harvest index by utilizing a remote sensing satellite technology in a large range.

Description

technical field [0001] What the present invention relates to is a kind of based on canopy hyperspectral sensitive band D-f G Remote sensing estimation method of dynamic harvest index of winter wheat obtained from parameter remote sensing. Background technique [0002] Harvest Index (HI), also known as economic coefficient, refers to the ratio of economic yield (grain, fruit) to biological yield when a crop is harvested, and the index reflects the distribution ratio of assimilated products between grain and vegetative organs. For food crops (such as wheat, corn, etc.), the harvest index is the percentage of grain yield to aboveground biological yield, where aboveground biological yield refers to the total dry matter above ground (Donald, 1962; Donald and Hamblin, 1976; Pan Xiaohua et al., 2007). Since the crop harvest index plays an important role in crop yield simulation and estimation (Fan et al., 2017; Hu et al., 2019; Lorenz et al., 2010), crop variety selection (Hay, 1...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/13G01N21/25G06Q10/06
CPCG01N21/25G06Q10/06393G01N2021/1797
Inventor 任建强张宁丹刘杏认吴尚蓉
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products