Soil humidity inversion method and device fusing isolated forest and deep learning

• Main Authors: YANG XIAOFENG, PAN YUWEI, LI JUNHUI, WEI HAOHAN, ZHANG QIANG, CHU LEI
• Format: Patent
• Language: Chinese; English
• Published: 10.11.2023
• Subjects: ANALOGOUS ARRANGEMENTS USING OTHER WAVES; CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; ELECTRIC DIGITAL DATA PROCESSING; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES; MEASURING; PHYSICS; RADIO DIRECTION-FINDING; RADIO NAVIGATION; TESTING

The invention provides a soil humidity inversion method and device fusing an isolated forest and deep learning, belongs to the field of soil humidity monitoring, and aims to improve the precision of soil humidity prediction. The method comprises the following steps: obtaining a plurality of measurement data based on satellite original data and precise ephemeris received by a GNSS monitoring station; intercepting second signal-to-noise ratio data of a specific elevation angle azimuth angle from the first signal-to-noise ratio data, and extracting a signal-to-noise ratio component of a reflected signal; performing data processing on the signal-to-noise ratio component of the reflected signal to obtain a characteristic parameter group of the reflected signal; adopting an isolated forest algorithm to respectively reject abnormal values in each characteristic parameter component, and then dividing the plurality of characteristic parameter groups into a training set and a test set; based on the training set, carryi