Regional soil moisture monitoring method based on airborne spectrum reconstructed optical satellite remote sensing data

A regional soil moisture monitoring device based on airborne spectrum reconstructed optical satellite remote sensing, comprising:

• an acquisition module, configured to:
• acquire satellite remote sensing data of a to-be-monitored area, and acquire unmanned aerial vehicle (UAV) remote sensing data of a local area in the to-be-monitored area;
• a reconstruction module, configured to:
• perform, according to the UAV remote sensing data of the local area, spectral reconstruction on the satellite remote sensing data of the to-be-monitored area, to obtain reconstructed satellite spectral data of the satellite remote sensing data, wherein the reconstructed satellite spectral data comprises a reconstructed satellite band reflectance, and a formula for calculating the reconstructed satellite band reflectance is expressed as follows:
• B
• r
• =
• B
• o
• ⁢
• {
• 1
• +
• k
• ·
• [
• FVC
• /
• (
• B
• u
• ·
• B
• o
• )
• ]
• }
• where B, represents the reconstructed satellite band reflectance;
• Bo represents a satellite band reflectance;
• FVC represents a fractional vegetation coverage corresponding to a spatial resolution scale of an optical satellite;
• k represents a regulation factor, k∈R;
• and Bu represents an UAV band reflectance or an UAV spectral index;
• and
• a monitoring module, configured to:
• input the reconstructed satellite spectral data into a pre-trained soil moisture inversion model to obtain a soil moisture content of the to-be-monitored area.