Remote sensing inversion model and method for total organic carbon content of overground parts of rice in unit area based on K-nearest neighbor regression algorithm

Abstract

The invention provides a remote sensing inversion model for total organic carbon content of overground parts of rice in unit area based on a K-nearest neighbor regression algorithm. The remote sensing inversion model is a K-nearest neighbor regression model based on Python language; and model parameters of the K-nearest neighbor regression mode are further provided. The invention further provides a remote sensing inversion method for the total organic carbon content of the overground parts of the rice in unit area based on the K-nearest neighbor regression algorithm. According to the remote sensing inversion model for the total organic carbon content of the overground parts of the rice unit area based on the K nearest neighbor regression algorithm, the total organic carbon content information of the overground parts of the rice unit area can be rapidly and accurately obtained; and the difficulty that the characteristic waveband of the total organic carbon content of the overground parts of the rice in unit area is difficult to determine due to a spectral superposition effect caused by complex rice components is eliminated, the precision of the inversion model of the total organic carbon content of the overground parts of the rice in unit area can be greatly improved. The model is ingenious in design, simple in calculation, easy to implement and low in cost.

Description

technical field [0001] The invention relates to the technical field of agricultural remote sensing, in particular to the technical field of measurement of total organic carbon content per unit area of ​​rice aboveground, and specifically refers to a remote sensing inversion model and method for total organic carbon content per unit area of ​​rice aboveground based on the K-nearest neighbor regression algorithm. Background technique [0002] The total organic carbon content in the aboveground part of rice refers to the carbon element content in the organic matter in the aboveground part of rice. (Xue Lihong, Yang Linzhang, Fan Xiaohui. Spectral estimation of nitrogen content and carbon-nitrogen ratio in rice based on carbon and nitrogen metabolism[J]. Acta Crops, 2006,32(3):430-435). [0003] Monitoring the total organic carbon content in the aboveground part of rice can not only ensure the yield and quality of rice production, but also dynamically manage the physiological st...

AI Technical Summary

Problems solved by technology

In the process of constructing the inversion model of total organic carbon content in the aboveground part of rice, the spectral range measured by the full-band spectrometer covers 350nm to 2500nm. It is difficult to determine the characteristic spectrum of carbon content. At the same time, the rapid processing of hyperspectral data has become an urgent technical problem to estimate the total organic carbon content of rice shoots based on hyperspectral data.

[0005] Therefore, it is hoped to provide a remote sensing inversion model of total organic carbon content per unit area of ​​rice, which can quickly and accurately obtain the information of total organic carbon content per unit area of ​​rice, and overcome the spectral superposition effect caused by complex rice components. It is difficult to determine the characteristic band of total organic carbon content per unit area of ​​rice, which greatly improves the accuracy of the inversion model of total organic carbon content per unit area of ​​rice

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