Ramakrishna R. Nemani

发表

Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data

Hirofumi Hashimoto, Weile Wang, Cristina Milesi, 2012, Remote. Sens..

A regression strategy for analyzing environmental data generated by spatio-temporal processes

Ramakrishna R. Nemani, Brian M. Steele, Swarna Reddy, 2005 .

An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes

Hirofumi Hashimoto, Weile Wang, Sangram Ganguly, 2018, Remote. Sens..

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA

Sungho Choi, Wenge Ni-Meister, Gong Zhang, 2013, Remote. Sens..

NASA EARTH EXCHANGE: NEXT GENERATION EARTH SCIENCE COLLABORATIVE

Ramakrishna R. Nemani, 2011 .

DeepSat: a learning framework for satellite imagery

Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, 2015, SIGSPATIAL/GIS.

Using Large-Scale Machine Learning to Improve Our Understanding of the Formation of Tornadoes

Ramakrishna R. Nemani, Karsten Steinhaeuser, Ashok N. Srivastava, 2017 .

A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation

Jia Zhang, Shuai Wang, Ramakrishna R. Nemani, 2015, Int. J. Web Serv. Res..

A Community-Driven Workflow Recommendations and Reuse Infrastructure

Jia Zhang, Ian T. Foster, Ramakrishna R. Nemani, 2014, 2014 IEEE 8th International Symposium on Service Oriented System Engineering.

RAPT: Rare Class Prediction in Absence of True Labels

Vipin Kumar, Ramakrishna R. Nemani, Ankush Khandelwal, 2017, IEEE Transactions on Knowledge and Data Engineering.

Land cover fraction estimation with global endmembers using collaborative SUnSAL

Weile Wang, Cristina Milesi, Sangram Ganguly, 2015, SPIE Optical Engineering + Applications.

Prototyping Global Web Enabled Landsat Data Production, Distribution and Visualization

Valeriy Kovalskyy, David P. Roy, Ramakrishna R. Nemani, 2012 .

Estimation of global leaf area index and absorbed par using radiative transfer models

Ranga B. Myneni, Ramakrishna R. Nemani, Steven W. Running, 1997, IEEE Trans. Geosci. Remote. Sens..

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning

Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, 2018, KDD.

A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation

Jia Zhang, Ramakrishna R. Nemani, Shrikant Adhikarla, 2013, 2013 IEEE International Conference on Services Computing.

Parallel Distributed Application Framework for Earth Science Data Processing

Keith Golden, Daniel E. Cooke, Ramakrishna R. Nemani, 2003, ScanGIS.

GEONEX: Application of Deep Neural Networks and CloudSat Data in Cloud Type Classification of GOES-16 Multispectral Images for Improving PERSIANN-CCS

Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, 2018 .

Evaluation of decision trees for cloud detection from AVHRR data

Smadar Shiffman, Ramakrishna R. Nemani, 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data

Cristina Milesi, Sangram Ganguly, Ramakrishna R. Nemani, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Decadal Variations in NDVI and Food Production in India

Hirofumi Hashimoto, Cristina Milesi, Sangram Ganguly, 2010, Remote. Sens..

IN13B-1660: Analytics and Visualization Pipelines for Big Data on the NASA Earth Exchange (NEX) and OpenNEX

Aashish Chaudhary, Ramakrishna R. Nemani, Petr Votava, 2016 .

Bridging VisTrails Scientific Workflow Management System to High Performance Computing

Jia Zhang, Ramakrishna R. Nemani, David Liu, 2013, 2013 IEEE Ninth World Congress on Services.

Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production

Hirofumi Hashimoto, Weile Wang, Cristina Milesi, 2012, Remote. Sens..

GeoNEX: A Cloud Gateway for Near Real-time Processing of Geostationary Satellite Products

Jennifer L. Dungan, Yunfeng Jiang, Ramakrishna R. Nemani, 2019 .

Unit of Work Supporting Generative Scientific Workflow Recommendation

Jia Zhang, Ramakrishna R. Nemani, Seungwon Lee, 2018, ICSOC.

Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status

Ramakrishna R. Nemani, Joseph Glassy, Steven W. Running, 2003, IEEE Trans. Geosci. Remote. Sens..

Structured Estimation in High Dimensions: Applications in Climate

Ramakrishna R. Nemani, Karsten Steinhaeuser, Ashok N. Srivastava, 2017 .

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images

Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

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

Ramakrishna R. Nemani, Thomas J. Trout, Petr Votava, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A community-oriented workflow reuse and recommendation technique

Ian T. Foster, Ramakrishna R. Nemani, Jia Zhang, 2015, Int. J. Bus. Process. Integr. Manag..

Analysis of leaf area index and fraction of PAR absorbed by vegetation products from the terra MODIS sensor: 2000-2005

Ranga B. Myneni, Ramakrishna R. Nemani, Yuri Knyazikhin, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Spatiotemporal Global Climate Model Tracking

Ramakrishna R. Nemani, Karsten Steinhaeuser, Ashok N. Srivastava, 2017 .

GEONEX: CloudCNN 2.0 - A Deep Neural Network for Real-time Cloud Type Classification and Segmentation from Geostationary Data

Sangram Ganguly, Ramakrishna R. Nemani, Shuang Li, 2018 .

NEX-AI: Deployment of Machine Learning Pipelines using Google Cloud ML Engine and AWS SageMaker

Ramakrishna R. Nemani, Subodh Kalia, V. Afzali Gorooh, 2018 .

A Semi-Automated Machine Learning Algorithm for Tree Cover Delineation from 1-m Naip Imagery Using a High Performance Computing Architecture

Cristina Milesi, Sangram Ganguly, Ramakrishna R. Nemani, 2014 .

Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework

Vipin Kumar, Ramakrishna R. Nemani, Ankush Khandelwal, 2018, Remote. Sens..

Observational considerations for moderate resolution nighttime lights

Ramakrishna R. Nemani, Christopher D. Elvidge, M. Imhoff, 2008, Optical Engineering + Applications.

Statistical Downscaling in Climate with State-of-the-Art Scalable Machine Learning

Ramakrishna R. Nemani, Karsten Steinhaeuser, Ashok N. Srivastava, 2017 .

River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat

Hirofumi Hashimoto, Ramakrishna R. Nemani, Balaji Rajagopalan, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study

Cristina Milesi, Sangram Ganguly, Ramakrishna R. Nemani, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine

A-Xing Zhu, Hirofumi Hashimoto, Michael A. White, 2006, IEEE Transactions on Geoscience and Remote Sensing.

The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research

Alan H. Strahler, Wolfgang Lucht, David P. Roy, 1998, IEEE Trans. Geosci. Remote. Sens..

MODIS leaf area index products: from validation to algorithm improvement

Rasmus Fensholt, Ranga B. Myneni, Ramakrishna R. Nemani, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets

Sangram Ganguly, Ramakrishna R. Nemani, Saikat Basu, 2015, Neural Processing Letters.

The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail

Jianjun Zhao, Hongyan Zhang, Hirofumi Hashimoto, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model

Sungho Choi, Wenge Ni-Meister, Gong Zhang, 2013, Remote. Sens..

Deep neural networks for texture classification - A theoretical analysis

Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, 2018, Neural Networks.

Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the appalachian trail

Ramakrishna R. Nemani, Yeqiao Wang, Matt Robinson, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Partially and Fully Constrained Least Squares Linear Spectral Mixture Models for Subpixel Land Cover Classification Using Landsat Data

Weile Wang, Cristina Milesi, Sangram Ganguly, 2016 .

Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations

Ramakrishna R. Nemani, John S. Kimball, Steven W. Running, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Earth Observations from a New Generation of Geostationary Satellites

Ramakrishna R. Nemani, 2019, KDD.

Automating the Processing of Earth Observation Data

Keith Golden, Wanlin Pang, Ramakrishna R. Nemani, 2003 .

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture

Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Integrating Parallel and Distributed Data Mining Algorithms into the NASA Earth Exchange (NEX)

Ramakrishna R. Nemani, Kamalika Das, Ankush Khandelwal, 2014 .

Very High Resolution Mapping of Tree Cover Using Scalable Deep Learning Architectures

Sangram Ganguly, Ramakrishna R. Nemani, Saikat Basu, 2016 .

Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements

Guangjian Yan, Zhao Liu, Ranga B. Myneni, 2016, Remote. Sens..

International Journal of Remote Sensing the Nightsat Mission Concept the Nightsat Mission Concept

Ramakrishna R. Nemani, John R. Weeks, Christopher D. Elvidge, 2022 .

Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison

Guangjian Yan, Zhao Liu, Ranga B. Myneni, 2016, Remote. Sens..

Large-Scale Machine Learning in the Earth Sciences

Ramakrishna R. Nemani, Karsten Steinhaeuser, Ashok N. Srivastava, 2017 .

A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data

Jennifer L. Dungan, Hirofumi Hashimoto, Weile Wang, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales

Ramakrishna R. Nemani, Steven W. Running, Jonathan M. Graham, 2005, Environ. Model. Softw..

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution

Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly, 2017, KDD.

Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version

Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly, 2018, IJCAI.

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS

Sangram Ganguly, Ramakrishna R. Nemani, Soroosh Sorooshian, 2020, Remote. Sens..

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing

Hirofumi Hashimoto, Weile Wang, Cristina Milesi, 2017, Remote. Sens..

Spectral Synthesis for Geostationary Satellite-to-Satellite Translation

Daniel McDuff, Ramakrishna R. Nemani, Andrew Michaelis, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Prototyping of LAI and FPAR Retrievals From GOES-16 Advanced Baseline Imager Data Using Global Optimizing Algorithm

Ranga B. Myneni, Ramakrishna R. Nemani, Wenzhuo Li, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

An operational remote sensing algorithm of land surface evaporation

Ramakrishna R. Nemani, Steven W. Running, Kenlo Nishida, 2003 .

LAND COVER CHARACTERIZATION USING MULTITEMPORAL RED, NEAR‐IR, AND THERMAL‐IR DATA FROM NOAA/AVHRR

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1997 .

The VEMAP integrated database for modelling United States ecosystem/vegetation sensitivity to climate change

Ramakrishna R. Nemani, Nan Rosenbloom, L. L. Pierce, 1995 .

Modeling the interannual variability and trends in gross and net primary productivity of tropical forests from 1982 to 1999

Hirofumi Hashimoto, Ramakrishna R. Nemani, Kazuhito Ichii, 2005 .

A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration

Peter E. Thornton, Hirofumi Hashimoto, Ramakrishna R. Nemani, 2009 .

Global vegetation cover changes from coarse resolution satellite data

Ramakrishna R. Nemani, Roger A. Pielke, Steven W. Running, 1996 .

MTCLIM: a mountain microclimate simulation model

Ramakrishna R. Nemani, Steven W. Running, Joseph C. Coughlan, 1989 .

Sentinel-2 MSI Radiometric Characterization and Cross-Calibration with Landsat-8 OLI

Jennifer L. Dungan, Ramakrishna R. Nemani, Weile Wang, 2017 .

Multi-objective parameter estimation for simulating canopy transpiration in forested watersheds

Ramakrishna R. Nemani, Lawrence E. Band, D. Scott Mackay, 2002 .

Interpretation of variations in MODIS-measured greenness levels of Amazon forests during 2000 to 2009

Ranga B. Myneni, Ramakrishna R. Nemani, Arindam Samanta, 2012 .

On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models

Jürgen Symanzik, Ramakrishna R. Nemani, Mark D. Schwartz, 2007 .

Recent trends in hydrologic balance have enhanced the terrestrial carbon sink in the United States

Peter E. Thornton, Ramakrishna R. Nemani, Steven W. Running, 2002 .

Evaluation of snow models in terrestrial biosphere models using ground observation and satellite data: impact on terrestrial ecosystem processes

Ramakrishna R. Nemani, Kazuhito Ichii, Petr Votava, 2008 .

Asymmetric warming over coastal California and its impact on the premium wine industry

Ramakrishna R. Nemani, Steven W. Running, Joseph C. Coughlan, 2001 .

Evaluating the impacts of climate and elevated carbon dioxide on tropical rainforests of the western Amazon basin using ecosystem models and satellite data

Hirofumi Hashimoto, Cristina Milesi, Ramakrishna R. Nemani, 2010 .

U.S. constructed area approaches the size of Ohio

Cristina Milesi, Ramakrishna R. Nemani, Christopher D. Elvidge, 2004 .

Implementation of a hierarchical global vegetation classification in ecosystem function models

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1996 .

A generalized, bioclimatic index to predict foliar phenology in response to climate

Ramakrishna R. Nemani, Steven W. Running, William M. Jolly, 2004 .

A simple Parametric Estimation of Live Forest Aboveground Biomass in California Using Satellite Derived Metrics of Canopy Height and Leaf Area Index

Cristina Milesi, Ranga B. Myneni, Ramakrishna R. Nemani, 2012 .

Green leaf area and fraction of photosynthetically active radiation absorbed by vegetation

Frédéric Baret, Hirofumi Hashimoto, Cristina Milesi, 2014 .

Satellite monitoring of global land cover changes and their impact on climate

Ramakrishna R. Nemani, Steven W. Running, 1995 .

Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1987 .

MODIS-Derived Terrestrial Primary Production

Ramakrishna R. Nemani, Steven W. Running, Faith Ann Heinsch, 2010 .

Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems

Ramakrishna R. Nemani, Steven W. Running, Robert E. Keane, 1997 .

El Niño–Southern Oscillation–induced variability in terrestrial carbon cycling

Hirofumi Hashimoto, Ranga B. Myneni, Ramakrishna R. Nemani, 2004 .

Estimating carbon budgets for U.S. ecosystems

Ramakrishna R. Nemani, Christopher Potter, Matthew Fladeland, 2006 .

Satellite-driven estimation of terrestrial carbon flux over Far East Asia with 1-km grid resolution

Kenlo Nishida Nasahara, Hirofumi Hashimoto, Ryuichi Hirata, 2011 .

Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 1. Primary production

Jennifer L. Dungan, Hirofumi Hashimoto, Cristina Milesi, 2011 .

Biospheric Monitoring and Ecological Forecasting

Ramakrishna R. Nemani, Steven W. Running, Petr Votava, 2003 .

A remote sensing based vegetation classification logic for global land cover analysis

Ramakrishna R. Nemani, Steven W. Running, Thomas R. Loveland, 1995 .

Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS)

Hirofumi Hashimoto, Cristina Milesi, Ramakrishna R. Nemani, 2009 .

Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls

Peter E. Thornton, Ramakrishna R. Nemani, Steven W. Running, 2000 .

Real-time monitoring and short-term forecasting of land surface phenology

Ramakrishna R. Nemani, R. Nemani, M. A. White, 2006 .

Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data

Ranga B. Myneni, Ramakrishna R. Nemani, Taejin Park, 2016 .

Downscaled Climate Projections Suitable for Resource Management

Ramakrishna R. Nemani, Andrew Michaelis, Forrest Melton, 2013 .

Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest

Ramakrishna R. Nemani, R. Nemani, Michael A. White, 2003 .

Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1988 .

Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1989 .

Numerical Terradynamic Simulation Group 12-2014 Asynchronous Amazon forest canopy phenology indicates adaptation to both water and light availability

Ramakrishna R. Nemani, John S. Kimball, Matthew O. Jones, 2018 .

Assessing the environmental impacts of human settlements using satellite data

Cristina Milesi, Ramakrishna R. Nemani, Steven W. Running, 2003 .

Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance

Jennifer L. Dungan, Hirofumi Hashimoto, Cristina Milesi, 2011 .

Assessing the representativeness of the AmeriFlux network using MODIS and GOES data

A-Xing Zhu, Hirofumi Hashimoto, Ramakrishna R. Nemani, 2008 .

Collection 5 MODIS LAI and FPAR Products

Ranga B. Myneni, Ramakrishna R. Nemani, Yuri Knyazikhin, 2007 .

Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation

Ramakrishna R. Nemani, Steven W. Running, Lawrence E. Band, 1989 .

A global framework for monitoring phenological responses to climate change

Ramakrishna R. Nemani, William W. Hargrove, Forrest M. Hoffman, 2005 .

Regional hydrologic and carbon balance responses of forests resulting from potential climate change

Ramakrishna R. Nemani, Steven W. Running, S. Running, 1991 .

Recent climate and fire disturbance impacts on boreal and arctic ecosystem productivity estimated using a satellite‐based terrestrial carbon flux model

Ramakrishna R. Nemani, John S. Kimball, Yonghong Yi, 2013 .

User's Guide GPP and NPP (MOD17A2/A3) Products NASA MODIS Land Algorithm

Cristina Milesi, Ramakrishna R. Nemani, John S. Kimball, 2003 .

Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach

A-Xing Zhu, Hirofumi Hashimoto, Ramakrishna R. Nemani, 2007 .

Climate variability, vegetation productivity and people at risk

Hirofumi Hashimoto, Cristina Milesi, Ramakrishna R. Nemani, 2005 .

Sensitivity of a general circulation model to global changes in leaf area index

Ramakrishna R. Nemani, Roger A. Pielke, Steven W. Running, 1996 .

Simulating terrestrial carbon fluxes using the new biosphere model “biosphere model integrating eco‐physiological and mechanistic approaches using satellite data” (BEAMS)

Ramakrishna R. Nemani, Kazuhito Ichii, Yasushi Yamaguchi, 2005 .