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Maosheng Zhao

Researcher at University of Maryland, College Park

Publications -  77
Citations -  19098

Maosheng Zhao is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Moderate-resolution imaging spectroradiometer & Primary production. The author has an hindex of 49, co-authored 75 publications receiving 16675 citations. Previous affiliations of Maosheng Zhao include University of Montana & Brookhaven National Laboratory.

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Improvements to a MODIS global terrestrial evapotranspiration algorithm

TL;DR: In this article, an improved version of the global evapotranspiration (ET) algorithm based on MODIS and global meteorology data has been proposed, which simplifies the calculation of vegetation cover fraction, calculating ET as the sum of daytime and nighttime components, adding soil heat flux calculation, improving estimates of stomatal conductance, aerodynamic resistance and boundary layer resistance, separating dry canopy surface from the wet and dividing soil surface into saturated wet surface and moist surface.
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Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009

TL;DR: Satellite data used to estimate global terrestrial NPP over the past decade found that the earlier trend has been reversed and that NPP has been decreasing, and combined with climate change data suggests that large-scale droughts are responsible for the decline.
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A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production

TL;DR: A new satellite-driven monitor of the global biosphere that regularly computes daily gross primary production and annual net primary production at 1-kilometer (km) resolution over 109,782,756 km2 of vegetated land surface is introduced.

Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009

TL;DR: In this article, the authors suggest a reduction in the global NPP of 0.55 petagrams of carbon, which would not only weaken the terrestrial carbon sink, but would also intensify future competition between food demand and biofuel production.
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Improvements of the MODIS terrestrial gross and net primary production global data set

TL;DR: In this article, a reprocessing key inputs to MODIS primary vegetation productivity algorithm, resulting in improved Collection5-MOD17 (here denoted as C5 MOD17) estimates.