A Wheat Canopy Water Content Retrieval Method Combining Nir-red-Swir Spectral Features
A technology of spectral characteristics and water content, which is applied in the application field of vegetation remote sensing technology, and can solve the problems of high inversion accuracy, low inversion accuracy, and low vegetation moisture sensitivity.
Active Publication Date: 2020-07-07
SHANDONG AGRI SUSTAINABLE DEV INST
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[0005] The purpose of the present invention is to provide a wheat canopy water content inversion method that integrates Nir-Red-Swir spectral features, aiming to solve the problem of low sensitivity to vegetation moisture or For the problem of low inversion accuracy caused by insufficient changes in vegetation coverage, the remote sensing inversion of wheat canopy water content under different coverage conditions is realized, and the inversion accuracy is high
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[0031] In order to clearly illustrate the technical features of the present solution, the present invention will be described in detail below through specific implementation methods and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily lim...
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The invention provides a wheat canopy water content inversion method based on comprehensive Nir-Red-Swir spectral features. The method comprises the following steps: S101, obtaining remote sensing data; S102, obtaining a vertical drought index based on a Nir-Red spectral feature space; S103, obtaining a short-wave infrared vertical water loss index based on a Nir-Swir spectral feature space; and S104, calculating a comprehensive Nir-Red-Swir three-band vertical vegetation water index according to the vertical drought index and the short-wave infrared vertical water loss index. The response ofthe Nir-Red-Swir band reflectivity to soil and crop water conditions is comprehensively considered to establish a Nir-Red-Swir three-band crop water content remote sensing monitoring model, namely three-band vertical vegetation water index, so the remote sensing inversion of the wheat canopy water content under different coverage conditions is achieved, and the inversion accuracy is high, and is not affected by vegetation coverage.
Description
technical field [0001] The invention relates to the application field of vegetation remote sensing technology, in particular to a wheat canopy water content inversion method integrated with Nir-Red-Swir spectral features. Background technique [0002] Crop water content is an important factor to characterize crop growth status, and has become one of the hotspots for remote sensing monitoring of crop growth. At present, methods for monitoring crop canopy water content based on remote sensing technology mainly include physical models and statistical models. Due to comprehensive consideration of factors such as leaves, canopy, soil, and observation conditions, the physical model can better reflect the complex surface environment, and thus the inversion accuracy is relatively higher, and it is widely used in the inversion of canopy biochemical parameters. The statistical model method is mainly to establish linear, exponential, polynomial statistical models such as spectral inde...
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IPC IPC(8): G01N21/359G01N21/3554
CPCG01N21/3554G01N21/359
Inventor 侯学会王猛隋学艳姚慧敏梁守真
Owner SHANDONG AGRI SUSTAINABLE DEV INST