High-resolution vegetation productivity remote sensing estimation method based on downscaling
A high-resolution, downscaling technology, applied in computing, computer components, instruments, etc., can solve the problems of low accuracy and lack of universality of the vegetation productivity downscaling scheme, and achieve high precision and strong universality Effect
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[0042] The specific technical solutions of the present invention are described in conjunction with the examples.
[0043] In this embodiment, the verification area of the Heihe River Basin in China (38°10'~39°35'N, 99°57'~101°46'E) is selected.
[0044] The process flow of the high-resolution vegetation productivity remote sensing estimation method based on downscaling is as follows: figure 1 . Leaf Area Index (LAI) and FPAR are two key inputs of the vegetation productivity model MuSyQ-NPP. Therefore, in the vegetation productivity downscaling technical scheme, the factor LAI / FPAR for vegetation productivity estimation is firstly downscaled to obtain High-resolution LAI / FPAR of time series; spatial interpolation and terrain correction for temperature to obtain high-resolution temperature factors; high-resolution solar short-wave radiation simulation using mountain microclimate model (MT-CLIM); downscaled The high-resolution LAI / FPAR, the high-resolution temperature factor ...
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