Coastal wetland high-resolution month-by-month soil salinity monitoring method and coastal wetland high-resolution month-by-month soil salinity monitoring system

Abstract

The invention relates to a coastal wetland high-resolution month-by-month soil salinity monitoring method and a coastal wetland high-resolution month-by-month soil salinity monitoring system. The method comprises the following steps: establishing a soil salinity database and a predictor database; performing land utilization type classification on the research area by adopting a machine learning method of a support vector machine to obtain an industrial and agricultural area and a natural reserve area; according to the soil salinity database and the prediction factor database, respectively establishing a natural conservation area soil salinity prediction model and an industrial and agricultural area soil salinity prediction model by adopting a random forest algorithm; analyzing the naturalconservation area soil salinity prediction model and an industrial and agricultural area soil salinity prediction model by adopting a cross validation method; obtaining a soil salinity predictor database of the research area; and predicting the soil salinity according to the natural conservation area soil salinity prediction model, the industrial and agricultural area soil salinity prediction model and the soil salinity prediction factor database of the research area. The method can improve the prediction precision of the soil salinity.

Description

technical field [0001] The invention relates to the field of soil salinity monitoring, in particular to a high-resolution monthly soil salinity monitoring method and system for coastal wetlands. Background technique [0002] The sea level rise caused by climate warming and the runoff reduction caused by human activities control a series of changes in the hydrological structure, function and process of coastal wetlands, which in turn lead to severe soil salinization. Soil salinization affects the structure and function of local ecosystems by interfering with biogeochemical elements such as carbon, nitrogen, and phosphorus. In recent decades, it has become a serious environmental hazard, posing a considerable threat to the limited soil resources and ecosystem health of coastal wetlands. Therefore, many researchers conducted field observations to monitor changes in soil salinity. However, due to the large temporal and spatial heterogeneity of soil salinity, it is difficult fo...

AI Technical Summary

Problems solved by technology

When datasets have a large number of predictors and a large number of data records, they become increasingly complex and difficult, leading to overfitting in practical inversions

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