Mining area long-time-sequence surface soil water content remote sensing data production method and system

Abstract

The invention discloses a mining area long-time-sequence surface soil water content remote sensing data production method and system, and the method comprises the steps: firstly collecting original historical data of a target mining area, carrying out the screening, cutting and elimination processing, obtaining surface soil water content data, collecting the data, and respectively calculating a normalized vegetation index NDVI, a vegetation coverage FVC and a leaf equivalent water thickness EWT; and then determining a downscaling expansion multiple strategy according to the target resolution, and finally performing model training and downscaling expansion according to the downscaling expansion multiple strategy to finally obtain a surface soil water content data product similar to the target spatial resolution. A long-time-sequence, high-spatial-resolution and high-time-resolution earth surface soil water content data product which has consistency and adapts to a mining area scene can be obtained, long-time-sequence monitoring of the earth surface soil water content of the mining area can be achieved, and data support is provided for mining of an ecological environment evolution mechanism of the mining area, quantification of an activity influence range of the mining area and the like.

Description

technical field [0001] The invention relates to the fields of mining, ecology, remote sensing and geographic information, and in particular to a method and system for producing remote sensing data of long-term surface soil water content in mining areas. Background technique [0002] The mining of mineral resources has caused a strong disturbance to the ecological environment of the mining area, seriously affecting the succession and development of the local natural ecosystem. The monitoring of ecological environment quality in mining areas is a necessary prerequisite for ecological management in mining areas. As an important link connecting atmospheric water, surface water, and groundwater, surface soil moisture content is also an important part of ecological environment quality. Monitoring it has important practical significance. For the monitoring of surface soil moisture content, traditional monitoring methods are ground monitoring methods based on gravity, electromagneti...

AI Technical Summary

Problems solved by technology

For the monitoring of surface soil moisture content, traditional monitoring methods are ground monitoring methods based on gravity, electromagnetic, etc. Although the accuracy obtained by such methods is relatively accurate, it is time-consuming and labor-intensive, and the obtained data is point data, so it is impossible to obtain a comprehensive Mining area data, and its historical data cannot be obtained, and the mining of mineral resources in the mining area has a long time period, so this method has great limitations

The rise of remote sensing technology has provided technical support for the monitoring of surface soil water content in mining areas. However, optical thermal infrared remote sensing is easily affected by cloud and rain weather, and it is difficult to obtain continuous and effective monitoring data of surface soil water content in mining areas; Longer, the spatial resolution of surface soil moisture monitoring data is rough (mostly 20-40 kilometers), which is not suitable for mining scenarios, and active microwave cannot meet the long time series requirements of mining scenarios

Therefore, the current common methods cannot obtain long-term surface soil moisture monitoring data suitable for mining scenarios.

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