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Based on d-f g Remote Sensing Estimation Method of Winter Wheat Dynamic Harvest Index Based on 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: 2022-06-21
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
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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

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  • Based on d-f <sub>g</sub> Remote Sensing Estimation Method of Winter Wheat Dynamic Harvest Index Based on Parameter Remote Sensing
  • Based on d-f <sub>g</sub> Remote Sensing Estimation Method of Winter Wheat Dynamic Harvest Index Based on Parameter Remote Sensing
  • Based on d-f <sub>g</sub> Remote Sensing Estimation Method of Winter Wheat Dynamic Harvest Index Based on Parameter Remote Sensing

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Embodiment Construction

[0058] The present invention will be described in detail below with reference to 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 in the agricultural environment comprehensive test demonstration base 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 average annual temperature of about 11.5 °C, an average annual precipitation of about 625 mm, an annual sunshine of about 2750 hours, and a frost-free period of about 195 days. The main planting system in this study area is winter wheat-summer maize with two crops a year. For the location map of the study area, see figure 1 .

[0062] In order to obtain observation crops of winter wheat with different growth states and growth states, considering that the growth and yield of winter wheat in the study area are mainly...

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Abstract

The invention discloses a D-f based G The winter wheat dynamic harvest index remote sensing estimation method obtained by parameter remote sensing, the present invention is based on the field control experiment of winter wheat, and proposes the dynamic parameter D f of the ratio between the aboveground biomass accumulated in different periods from the flowering period to the mature period and the aboveground biomass in the corresponding period G Based on this, the narrow-band spectral index NDSI and D‑f constructed from crop canopy hyperspectral data G Correlation between filter out D‑f G Estimated sensitive band centers and optimal band combinations to achieve D‑f using canopy hyperspectral G an accurate estimate of . Ultimately, based on D‑f G Parameter remote sensing information and measured D‑f G The quantitative relationship between the dynamic harvest index (D-HI) and the measured dynamic crop harvest index (D-HI) is used to realize the optimal estimation of winter wheat crop harvest index based on canopy hyperspectral remote sensing, in order to further improve the accuracy and level of winter wheat harvest index estimation, and provide a wide range of Using remote sensing satellite technology to obtain high-precision crop harvest index provides theoretical basis and technical reference.

Description

technical field [0001] The invention relates to a canopy-based hyperspectral sensitive band D-f G Remote sensing estimation method of winter wheat dynamic harvest index obtained by parametric 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 crops are harvested. The index reflects the distribution ratio of assimilation products between grains and vegetative organs. For food crops (such as wheat, corn, etc.), the harvest index is the percentage of grain yield in the above-ground biological yield, where the above-ground biological yield refers to the total dry matter mass above ground (Donald, 1962; Donald and Hamblin, 1976; Pan Xiaohua) et al., 2007). Since crop harvest index is widely used in crop yield simulation and estimation (Fan et al., 2017; Hu et al., 2019; Lorenz et al., 2010), crop variety selection (Hay, 1995; Rivera-Amado et al., 2019...

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Application Information

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Patent Type & Authority Patents(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
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