A Method for Predicting the Content of Nitrogen, Phosphorus and Potassium in Black Soil Using Airborne Hyperspectral Data

Abstract

The invention belongs to the technical field of information extraction methods, and in particular relates to a method for predicting nitrogen, phosphorus and potassium content of black soil using aerial hyperspectral data: Step 1: data preprocessing, using the FLAASH algorithm based on MODTRAN4+ radiation transfer model to preprocess hyperspectral data , remove abnormal bands and normalize the spectral data after radiation correction and geometric correction; step 2: spectral parameter calculation, calculate the spectral parameter values ​​​​of 3 major categories and 18 subcategories, and the calculated spectral parameter values ​​​​are used as training data, Modeling with assay content; Step 3: Establish a model, use principal component analysis to extract the factor with the greatest correlation between soil nutrient content and spectral parameters, use the least square method to establish a regression equation, and finally perform a root mean square error on the model prediction results Evaluate and analyze the regression effect.

Description

technical field [0001] The invention belongs to the technical field of information extraction methods, and in particular relates to a method for predicting the content of nitrogen, phosphorus and potassium in black soil by using aerial hyperspectral data. Background technique [0002] The black soil in Northeast my country is rich in nutrients. With the deepening of soil digital mapping, precision agriculture and soil resource investigation, the introduction of aerial hyperspectral data and the provision of scientific prediction results have become a research hotspot. In recent years, hyperspectral remote sensing technology has played an increasingly important role in the quantitative remote sensing monitoring of soil composition due to its high spectral resolution, strong band continuity and high spatial resolution. Nitrogen, phosphorus, and potassium are mineral nutrients in soil that can be absorbed by plant roots directly or after transformation, and are important indica...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that, on the one hand, the content of nitrogen, phosphorus and potassium is often very weak, and the characteristics on the spectrum are easily obliterated by other information, so the reliability of "spectrum or its transformed form" as modeling data is not high; on the other hand, The choice of interpolation method interferes too much with the final extraction results, and it is easy to bring secondary errors to the extraction results of nitrogen, phosphorus and potassium content

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