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A method and a system for constructing a soil moisture downscaling factor model of

A soil moisture and factor model technology, applied in the field of soil moisture downscaling, can solve problems such as incompatibility, and achieve the effects of easy acquisition, improved resolution, and good operability

Active Publication Date: 2019-02-19
SOUTH CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In this context, the Soil Moisture ActivePassive satellite (SMAP) mission launched by the European Space Agency (ESA) in mid-2015 will operate in the L-band; ), which can simultaneously obtain soil moisture and surface temperature with a ground-level resolution (pixel size) of 9 kilometers; this instrument will provide a global soil moisture dataset for global-scale climate models; the scale of most hydrological processes and simulations is usually More accurate than 1 km, the spatial resolution of satellite soil moisture products is generally less than 10 km, when further watershed hydrological studies are required, it cannot meet the research requirements

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Embodiment

[0045] see figure 1 , figure 1 It is a schematic flow chart of the method for constructing the soil moisture downscaling factor model in the embodiment of the present invention.

[0046] Such as figure 1 Shown, a kind of soil moisture downscaling factor model building method based on TVDI, described method comprises:

[0047] S11: Acquiring SMAP data, PROBA-V data and MODIS data;

[0048] In the concrete implementation process of the present invention, described SMAP data is the data of 9Km spatial resolution, and storage format is HDF-EOS; Described PROBA-V data is the data of 100-180m and 350-660m spatial resolution, and storage format is tiff; the MODIS data is data with a spatial resolution of 0.5Km, and the storage format is .hdf5.

[0049] The specific SMAP (soil moisture active and passive) data is based on the downscaling of the 2016-2017 data on May 1 (four-level soil moisture product). The SMAP level 4 product provides a time resolution of 3 hours and a space of ...

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Abstract

The invention discloses a method and a system for constructing a soil moisture downscaling factor model based on TVDI, wherein, the method comprises the following steps: obtaining SMAP data, PROBA-V data and MODIS data; processing the obtained SMAP data, PROBA-V data and MODIS data to obtain uniform spatial resolution SMAP data, PROBA-V data and MODIS data; according to the SMAP data of unified spatial resolution, PROBA-V data and MODIS data, constructing the soil moisture downscaling factor model, and obtaining the soil moisture downscaling factor model. In the embodiment of the invention, the soil moisture downscaling factor model constructed by the embodiment of the invention can effectively improve the resolution of the soil moisture data product, so as to satisfy the scale data underthe watershed scale study.

Description

technical field [0001] The invention relates to the technical field of soil moisture downscaling, in particular to a method and system for constructing a TVDI-based soil moisture downscaling factor model. Background technique [0002] Soil moisture is a key variable controlling several related processes on the Earth's surface, including hydrological modeling, climate modeling and agricultural management, land-use planning; it controls rainfall in infiltration and runoff, which will strongly influence rainfall responses to rainfall events ; soil moisture also plays a key role in river erosion and sediment load predictions; soil moisture also controls the division of energy available at the surface, making it a plausible latent heat flux that leads to the formation of an atmospheric boundary layer; soil moisture Also a key variable for the sustainable management of water for irrigation, which accounts for 85% of the total surface water available in arid and semi-arid regions; ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F16/25
CPCG06F30/20
Inventor 胡明月樊舒迪
Owner SOUTH CHINA AGRI UNIV
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