Ramakrishna Nemani
Organization:
NASA Ames Research Center
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.
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. 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., S. W. Running, and R. Nemani (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., R. Nemani, and S. W. Running (2005), A generalized, bioclimatic index to predict foliar phenology in response to climate, Global Change Biology, 11, 619-632.
- Milesi, C., et al. (2005), Mapping and modeling the biogeochemical cycling of turf grasses in the United States, Environmental Management, 36, 426-438.
- Milesi, C., et al. (2005), Climate variability, vegetation productivity, and people at risk. Global and Planetary Change, 47, 221-231.
- 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., S. K. Reddy, and R. Nemani (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., R. Nemani, and S. Running (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.