Remote sensing estimation method for SPAD value of rape leaves in different growth periods

A growth period and leaf technology, applied in the agricultural field, can solve problems such as differences in leaf chlorophyll sensitive bands and different applicability of spectral indices.

Inactive Publication Date: 2017-10-20
NORTHWEST A & F UNIV
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Problems solved by technology

With the development of hyperspectral technology, some scholars have applied the random forest algorithm to vegetation hyperspectral remote sensing. However, taking rapeseed as the research object and using the random forest algorithm to construct a leaf chlorophyll hyperspectral inversion model has not been reported; at the same time, due to Different regions and different crop types will have significant differences in the sensitive bands of leaf chlorophyll, and the applicability of spectral indices will also vary.

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  • Remote sensing estimation method for SPAD value of rape leaves in different growth periods
  • Remote sensing estimation method for SPAD value of rape leaves in different growth periods
  • Remote sensing estimation method for SPAD value of rape leaves in different growth periods

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Embodiment Construction

[0020] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] 1 Materials and methods

[0022] 1.1 Overview of the study area

[0023] The study area is located in Qinan Village, Liangshan Town, Qianxian County, Xianyang City, Shaanxi Province (108°7′6″E, 34°38′33″N). This area is in the transition zone between the southern edge of the Loess Plateau in northern Shaanxi and the Guanzhong Plain, and the temperate zone is semi-arid. Continental monsoon climate, annual rainfall of 525mm, annual average temperature of 12.7°C, uneven distribution of rainfall throughout the year, mainly concentrated in June-September, farming system is basically once a year, planting winter wheat, rape, corn and other crops

[0024] 1.2 Experimental design and sample collection

[0025] From September 2015 to May 2016, winter rapeseed was planted in the research area, and the tested v...

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Abstract

The invention discloses a remote sensing estimation method for the SPAD value of rape leaves in different growth periods. The method comprises the following steps: by taking commercial crop rapes in northwest regions as research objects, measuring the spectral reflectivity and SPAD value of rape leaves in each growth period; analyzing the relativity between 10 types of spectral indexes and the SPAD value of the rape leaves; constructing an SPAD random forest regression estimation model of the rape leaves based on the spectral indexes, and verifying the constructed model; and comparing the constructed model with a traditional simple linear regression model and a traditional multiple stepwise regression model. Modeling and verifying R2 respectively reach 0.91 and 0.74 or above, the verifying RMSE is between 1.571 and 5.004, RE is between 2.66% and 13.22%, and thus an optimal estimation model of the SPAD of the rape leaves can be obtained.

Description

technical field [0001] The invention belongs to the technical field of agriculture and relates to a remote sensing method for estimating SPAD values ​​of rapeseed leaves at different growth stages. Background technique [0002] Chlorophyll is an important substance for energy exchange between plants and the outside world. Since there is a good correlation between chlorophyll and leaf nitrogen content, it can characterize the nutritional status of plants. Hyperspectral technology has the advantages of wide spectral range, multiple bands, and large data volume. It can be used to monitor the biochemical components of crop leaves and canopies. In recent years, domestic and foreign scholars have made great efforts to use hyperspectral data to monitor plant chlorophyll content. A large number of studies, Dash.J et al. proposed to use MERID data sensitive to high chlorophyll density MTCI index to invert chlorophyll content; Gitelson chose corn and soybean as research objects, and e...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/3563G01N21/359
CPCG01N21/31G01N21/3563G01N21/359G01N2021/1797
Inventor 常庆瑞刘梦云陈涛
Owner NORTHWEST A & F UNIV
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