Soil organic matter estimation method and system based on feature selection algorithm

• Main Authors: MOU GUITING, ZHANG JIACHUN, WU XIANLIANG, LUO WENMIN, ZHANG ZHENMING, LIU YINGYING, HE HONGZAO
• Format: Patent
• Language: Chinese; English
• Published: 04.11.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention discloses a soil organic matter estimation method and system based on a feature selection algorithm, and the method comprises the following steps: (A) collecting and preprocessing soil sample data, (B) selecting and preprocessing an image, (C) constructing a spectral index, and (E) estimating the soil organic matter according to the spectral index. And (D) constructing a soil organic matter estimation model based on a feature selection algorithm. According to the soil organic matter estimation method and system based on the feature selection algorithm, a random forest regression model is obtained by utilizing the strong data processing capability and sufficient satellite image data of a Google Earth engine platform and adopting a soil sample training method; all spectral features of synthetic images in different periods are analyzed by using a feature selection algorithm, and a large-scale and high-resolution soil organic matter spatial distribution map is drawn accordingly, so that a low-noise,