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Ramakrishna R. Nemani

Researcher at Ames Research Center

Publications -  186
Citations -  36991

Ramakrishna R. Nemani is an academic researcher from Ames Research Center. The author has contributed to research in topics: Normalized Difference Vegetation Index & Primary production. The author has an hindex of 69, co-authored 174 publications receiving 32266 citations. Previous affiliations of Ramakrishna R. Nemani include University of Montana.

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Increased plant growth in the northern high latitudes from 1981 to 1991

TL;DR: In this paper, the authors present evidence from satellite data that the photosynthetic activity of terrestrial vegetation increased from 1981 to 1991 in a manner that is suggestive of an increase in plant growth associated with a lengthening of the active growing season.
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Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999

TL;DR: It is indicated that global changes in climate have eased several critical climatic constraints to plant growth, such that net primary production increased 6% (3.4 petagrams of carbon over 18 years) globally.
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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.
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Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data

TL;DR: An algorithm based on the physics of radiative transfer in vegetation canopies for the retrieval of vegetation green leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) from surface reflectances was developed and implemented for operational processing prior to the launch of the moderate resolution imaging spectroradiometer (MODIS) aboard the TERRA platform in December of 1999 as discussed by the authors.
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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.