Ramakrishna Nemani

Organization

NASA Ames Research Center

Contact person by email

Business Phone

Work

(650) 604-6185

First Author Publications

Nemani, R., et al. (2011), Collaborative Supercomputing for Global Change Science., Eos Trans., 92 (13), 109-110, doi:10.1029/2011EO130001.
Nemani, R., et al. (2001), Asymmetric warming over coastal California and its impact on the premium wine industry, Climate Research, 19, 25-34.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Co-Authored Publications

Kumar, U., et al. (2017), Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing, Remote Sens., 9, 1105, doi:10.3390/rs9111105.
Li, S., et al. (2017), Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI, Advances in Remote Sensing, 6, 147-159, doi:10.4236/ars.2017.62011.
Basu, S., et al. (2015), A Semiautomated Probabilistic Framework for Tree-Cover Delineation from 1-m NAIP Imagery Using a High-Performance Computing Architecture, IEEE Trans. Geosci. Remote Sens., 53, 5690-5708, doi:10.1109/TGRS.2015.2428197.
Bi, J., et al. (2015), Sunlight mediated seasonality in canopy structure and photosynthetic activity of Amazonian rainforests, Environmental Research Letters, 10, doi:10.1088/1748-9326/10/6/064014.
Ganguly, S., et al. (2014), Green Leaf Area and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation, Biophysical Applications Satellite Remote Sensing. Berlin/Heidelberg: Springer Verlag, 43-61, doi:10.1007/978-3-642-25047-7_2.
Jagermeyr, J., et al. (2014), A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data, Global Change Biology, 20, 1191-1210, doi:10.1111/gcb.12443.
Wang, W., et al. (2014), Variations in atmospheric CO2 growth rates coupled with tropical temperature, Proc. Natl. Acad. Sci., 13061-13066, doi:10.1073/pnas.1219683110.
Zhang, G., et al. (2014), Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data, Remote Sensing of Environment, doi:10.1016/j.rse.2014.01.025.
Bala, G., et al. (2013), Variability of AVHRR-Derived NPP in India. Remote Sensing, 5 (2), 810-829, doi:10.3390/rs5020810.
Bala, G., et al. (2013), Trends and Variability of AVHRR-Derived NPP in India, Remote Sensing, 5, 810-829, doi:10.3390/rs5020810.
Hashimoto, H., et al. (2013), Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. Remote Sensing, Remote Sensing, 5, 1258-1273, doi:10.3390/rs5031258.
Shi, Y., et al. (2013), Allometric Scaling and Resource Limitations Model fo Tree Heights: Part 1. Model Optimization and Testing over Continental USA, Remote Sens., 5, 284-306, doi:10.3390/rs5010284.
Thrasher, B., et al. (2013), Downscaled Climate Projections Suitable for Resource Management. , EOS, 94, 321-323, doi:10.1002/2013EO370002.
Turner, D., et al. (2013), A large proportion of North American net ecosystem production is offset by emissions from harvested products, river/stream evasion, and biomass burning. Global Change Biology, 19, 3516-3528, doi:10.1111/gcb.12313.
Xu, L., et al. (2013), Temperature and vegetation seasonality diminishment over northern lands, vegetation seasonality diminishment over northern lands. Nature: Climate Change, 3, 581-586, doi:10.1038/nclimate1836.
Yi, Y., et al. (2013), Recent climate and fire disturbance impacts on boreal and arctic ecosystem productivity estimated using a satellite-based terrestrial carbon flux model., J. Geophys. Res., 118, 606-622, doi:10.1002/jgrg.20053.
Ganguly, S., et al. (2012), Generating global Leaf Area Index from Landsat: Algorithm formulation and demonstration, Remote Sens. Environ., 122, 185-202.
Hashimoto, H., et al. (2012), Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data, Remote Sensing, 4, 303-326.
Melton, F., et al. (2012), Satellite Irrigation Management Support with the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management, IEEE J. Selected Topics in Applied Earth Observations & Remote Sensing, 5, 1709-1721, doi:10.1109/JSTARS.2012.2214474.
Bala, G., et al. (2011), H. Shin.. Albedo enhancement of marine clouds to counteract global warming, Clim. Dyn., 37, 915-931, doi:10.1007/s00382-010-0868-1.
Devaraju, N., et al. (2011), A model investigation of vegetation-atmosphere interactions on a millennial timescale, Biogeosciences Discuss., 8, 8761-8780, doi:10.5194/bgd-8-8761-2011.
Krishna Kumar, ., et al. (2011), The once and future pulse of Indian monsoonal climate, Clim. Dyn., 36, 2159-2170, doi:10.1007/s00382-010-0974-0.
Xu, L., et al. (2011), Widespread decline in greenness of Amazonian vegetation due to the 2010 drought, Geophys. Res. Lett., 38, L07402, doi:10.1029/2011GL046824.
Bala, G., et al. (2010), CO2-fertilization and potential future terrestrial carbon uptake in India, Mitigation and Adaptation Strategies for Global Change, 16, 143-160, doi:10.1007/s11027-010-9260-z.
Cao, L., et al. (2010), Importance of carbon dioxide physiological forcing to future climate change, Proc. Natl. Acad. Sci., 2010.
Hashimoto, H., et al. (2010), Evaluating the impacts of climate and elevated CO2 on tropical rainforests of the western Amazon basin using ecosystem models and satellite data, Global Change Biology, 16, 255-271.
Milesi, C., et al. (2010), Decadal Variations in NDVI and Food Production in India, Remote Sensing, 2, 758-776.
Samanta, A., et al. (2010), Amazon forests did not green-up during the 2005 drought, Geophys. Res. Lett., 37, L05401.
Wang, W., et al. (2010), Diagnosing and assessing uncertainties of terrestiral ecosystem models in a multi-model ensemble experiment: 1, primary production. Global Change Biology, doi:10.111/j.1365-2486.2010.02309.x.
Zhang, K., et al. (2010), A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006, Water Resources Research, 46, W09522, doi:10.1029/2009WR008800.
Cao, L., et al. (2009), Climate response to physiological forcing of carbon dioxide simulated by the coupled Community Atmosphere Model (CAM3.1) and Community Land Model (CLM3.0), Geophys. Res. Lett., 36, 10, doi:10.1029/2009GL037724.
White, M.A., et al. (2009), Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982 to 2006, Global Change Biology, doi:10.1111/j.1365-2486.2009.01910.
Gu, L., et al. (2008), The eastern U.S. 2007 spring freeze: Increased cold damage in a warmer world, Bioscience, 58, 253-262.
Hashimoto, H., et al. (2008), Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data, Remote Sensing of Environment, 112, 142-155.
Ichii, K., et al. (2008), Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data, Impact on terrestrial ecosystem processes. Hydrological Processes, 22, 347-355.
Ichii, K., et al. (2007), Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of GPP seasonality, Global Change Biology, 13, 67-77.
Potter, C., et al. (2007), Recent history of trends in vegetation greenness and large-scale ecosystem disturbances in Eurasia, Tellus, 59, 260-272.
Yang, F., et al. (2007), Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach, Remote Sensing of Environment, 110, 109-122.
Gross, J.E., et al. (2006), Remote sensing for the national parks, Remote sensing for the national parks. Park Science, 24, 30-36.
Heinsch, F.A., et al. (2006), Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations, IEEE Trans. Geosci. Remote Sens., 44, 1908-1925, doi:10.1109/TGRS.2005.853936.
Huete, ., et al. (2006), Amazon rainforests green-up with sunlight in dry season, Geophys. Res. Lett., 33, L06405, doi:10.1029/2005GL025583.
Wenze, Y., et al. (2006), Analysis of leaf area index and fraction vegetation absorbed PAR products from the Terra MODIS Sensor: 2000-2005, IEEE Trans. Geosci. Remote Sens., 44, 1829-1842, doi:10.1109/TGRS.2006.871214.
White, M.A., and R. Nemani (2006), Real-time monitoring and short-term forecasting of land surface phenology, Remote Sensing of Environment, 104, 43-49.
Yang, W., et al. (2006), Analysis of leaf area index products from a combination of MODIS Terra and Aqua data, Remote Sensing of Environment, 104, 297-312.
Zhao, M., et al. (2006), Sensitivity of Moderate Resolution Imaging Spectroradiometer (MODIS) terrestrial primary production to the accuracy of meteorological reanalyses, J. Geophys. Res., 111, G01002, doi:10.1029/2004JG000004.
Itchii, K., et al. (2005), Modeling the interannual variability and trends in gross and net primary productivity of tropical forests from 1982 to 1999, Global and Planetary Change, 48, 274-286.
Jolly, ., et al. (2005), A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales, Environmental Modeling & Software, 20, 873-882.
Jolly, W.M., et al. (2005), A generalized, bioclimatic index to predict foliar phenology in response to climate, Global Change Biology, 11, 619-632.
Milesi, C., et al. (2005), Climate variability, vegetation productivity, and people at risk. Global and Planetary Change, 47, 221-231.
Milesi, C., et al. (2005), Mapping and modeling the biogeochemical cycling of turf grasses in the United States, Environmental Management, 36, 426-438.
Sasai, T., et al. (2005), Simulating terrestrial carbon fluxes using the new biosphere model, J. Geophys. Res., 110, G02014, doi:10.1029/2005JG000045.
Steele, B.M., et al. (2005), A regression strategy for analyzing environmental data generated by spatio-temporal processes, Ecological Modeling, 181, 93-108.
White, M.A., et al. (2005), A global framework for monitoring phenological responses to climate change, Geophys. Res. Lett., 32, L04705, doi:10.1029/2004GL021961.
Zhou, M., et al. (2005), Improvements of MODIS gross and net primary production products and results from first 3-years, Remote Sensing of Environment, 95, 164176.
Elvidge, C.D., et al. (2004), U.S. constructed area approaches the size of Ohio, U.S. constructed area approaches the size of Ohio. EOS Transactions, 85, 233-240.
Hashimoto, H., et al. (2004), El Niño-Southern Oscillation—induced variability in terrestrial carbon cycling, J. Geophys. Res., 109, D23110, doi:10.1029/2004JD04959.
Jolly, M., et al. (2004), Enhancement of understory productivity by asynchronous phenology with overstory competitors in a temperate deciduous forest, Tree Physiology, 24, 1069-1071.
Running, S., et al. (2004), A continuous satellite-derived measure of global terrestrial primary productivity, Bioscience, 54, 547-560.
White, M.A., and R. Nemani (2004), Soil water forecasting in the continental U.S, Canadian J. Remote Sensing, 30, 1-14.
Johnson, L., et al. (2003), Mapping vineyard leaf area with multispectral satellite imagery, Comp. & Electr. in Agric., 38, 37-48.
Potter, C., et al. (2003), Global teleconnections of climate to terrestrial carbon flux, J. Geophys. Res., 108, D17, doi:10.1029/2002JD002979.
Running, S.W., et al. (1989), Mapping Regional Forest Evapotranspiration and Photosynthesis by Coupling Satellite Data with Ecosystem Simulation, Ecology, 70.4, 1090-1101.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.

Ramakrishna Nemani

National Aeronautics and Space Administration

National Aeronautics and
Space Administration