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RSS FeedsRemote Sensing, Vol. 10, Pages 1748: Generation of High Resolution Vegetation Productivity from a Downscaling Method (Remote Sensing)

 
 

8 november 2018 12:00:33

 
Remote Sensing, Vol. 10, Pages 1748: Generation of High Resolution Vegetation Productivity from a Downscaling Method (Remote Sensing)
 




Accurately estimating vegetation productivity is important in the research of terrestrial ecosystems, carbon cycles and climate change. Although several gross primary production (GPP) and net primary production (NPP) products have been generated and many algorithms developed, advances are still needed to exploit multi-scale data streams for producing GPP and NPP with higher spatial and temporal resolution. In this paper, a method to generate high spatial resolution (30 m) GPP and NPP products was developed based on multi-scale remote sensing data and a downscaling method. First, high resolution fraction photosynthetically active radiation (FPAR) and leaf area index (LAI) were obtained by using a regression tree approach and the spatial and temporal adaptive reflectance fusion model (STARFM). Second, the GPP and NPP were estimated from a multi-source data synergized quantitative algorithm. Finally, the vegetation productivity estimates were validated with the ground-based field data, and were compared with MODerate Resolution Imaging Spectroradiometer (MODIS) and estimated Global LAnd Surface Satellite (GLASS) products. Results of this paper indicated that downscaling methods have great potential in generating high resolution GPP and NPP.


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110 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 10, Pages 1749: Impact of the Elevation Angle on CYGNSS GNSS-R Bistatic Reflectivity as a Function of Effective Surface Roughness Over Land Surfaces (Remote Sensing)
Remote Sensing, Vol. 10, Pages 1747: Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library (Remote Sensing)
 
 
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