Ramakrishna R. Nemani

75 papers A* 6A 1B 3C 4Misc 2Journal 52Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
2023	J	`jnl`	Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow. IEEE Trans. Neural Networks Learn. Syst. Thomas J. Vandal, Ramakrishna R. Nemani
2022	J	`jnl`	A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations. Remote. Sens. Weile Wang, Yujie Wang, Alexei I. Lyapustin, Hirofumi Hashimoto, Taejin Park, Andrew R. Michaelis, Ramakrishna R. Nemani
2022	A*	`conf`	Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. KDD Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani
2022	—	`conf`	Evolutionary training of deep neural networks on heterogeneous computing environments. GECCO Companion Subodh Kalia, Chilukuri K. Mohan, Ramakrishna R. Nemani
2022	J	`jnl`	Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani
2022	J	`jnl`	Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Trans. Geosci. Remote. Sens. Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani
2021	J	`jnl`	Prototyping of LAI and FPAR Retrievals From GOES-16 Advanced Baseline Imager Data Using Global Optimizing Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yepei Chen, Kaimin Sun, Wenzhuo Li, Chi Chen, Pengfei Li, Ting Bai, Taejin Park, Weile Wang, Ramakrishna R. Nemani, Ranga B. Myneni
2020	J	`jnl`	An Introduction to the Geostationary-NASA Earth Exchange (GeoNEX) Products: 1. Top-of-Atmosphere Reflectance and Brightness Temperature. Remote. Sens. Weile Wang, Shuang Li, Hirofumi Hashimoto, Hideaki Takenaka, Atsushi Higuchi, Satya Kalluri, Ramakrishna R. Nemani
2020	J	`jnl`	Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote. Sens. Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani
2020	C	`conf`	GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems. IGARSS Ramakrishna R. Nemani, Weile Wang, Hirofumi Hashimoto, Andrew R. Michaelis, Thomas Vandal, Alexei I. Lyapustin, Jia Zhang, Tsengdar J. Lee, Satya Kalluri, Hideaki Takenaka, Atsushi Higuchi, Kazuhito Ichii, Shuang Li, Jong-Min Yeom
2020	A*	`conf`	High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. KDD Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
2020	J	`jnl`	High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. CoRR Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
2020	C	`conf`	Hourly GPP Estimation in Australia Using Himawari-8 AHI Products. IGARSS Hirofumi Hashimoto, Weile Wang, Andrew R. Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ramakrishna R. Nemani
2020	J	`jnl`	Spectral Synthesis for Satellite-to-Satellite Translation. CoRR Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani
2019	J	`jnl`	Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. Remote. Sens. Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani
2019	J	`jnl`	Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
2019	J	`jnl`	DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2019	J	`jnl`	DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. CoRR Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2019	A*	`conf`	Earth Observations from a New Generation of Geostationary Satellites. KDD Ramakrishna R. Nemani
2019	J	`jnl`	First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI. Remote. Sens. Shuang Li, Weile Wang, Hirofumi Hashimoto, Jun Xiong, Thomas Vandal, Jing Yao, Lexiang Qian, Kazuhito Ichii, Alexei I. Lyapustin, Yujie Wang, Ramakrishna R. Nemani
2019	J	`jnl`	Generation and Evaluation of LAI and FPAR Products from Himawari-8 Advanced Himawari Imager (AHI) Data. Remote. Sens. Yepei Chen, Kaimin Sun, Chi Chen, Ting Bai, Taejin Park, Weile Wang, Ramakrishna R. Nemani, Ranga B. Myneni
2019	J	`jnl`	Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach. Remote. Sens. Dawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna R. Nemani, Subimal Ghosh
2019	J	`jnl`	Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data. CoRR Thomas Vandal, Ramakrishna R. Nemani
2019	J	`jnl`	Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
2018	J	`jnl`	An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes. Remote. Sens. Weile Wang, Ramakrishna R. Nemani, Hirofumi Hashimoto, Sangram Ganguly, Dong Huang, Yuri Knyazikhin, Ranga B. Myneni, Govindasamy Bala
2018	J	`jnl`	Deep neural networks for texture classification - A theoretical analysis. Neural Networks Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2018	A*	`conf`	Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	J	`jnl`	Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza
2018	—	`conf`	Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay
2018	A*	`conf`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	J	`jnl`	Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
2018	A	`conf`	Unit of Work Supporting Generative Scientific Workflow Recommendation. ICSOC Jia Zhang, Maryam Pourreza, Seungwon Lee, Ramakrishna R. Nemani, Tsengdar J. Lee
2017	A*	`conf`	DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017	J	`jnl`	DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
2017	J	`jnl`	Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote. Sens. Uttam Kumar, Sangram Ganguly, Ramakrishna R. Nemani, S. Kumar Raja, Cristina Milesi, Ruchita Sinha, Andrew R. Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka
2017	J	`jnl`	Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
2017	J	`jnl`	RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani
2016	J	`jnl`	A Theoretical Analysis of Deep Neural Networks for Texture Classification. CoRR Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
2016	B	`conf`	A theoretical analysis of Deep Neural Networks for texture classification. IJCNN Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
2016	J	`jnl`	Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements. Remote. Sens. Kai Yan, Taejin Park, Guangjian Yan, Chi Chen, Bin Yang, Zhao Liu, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni
2016	J	`jnl`	Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison. Remote. Sens. Kai Yan, Taejin Park, Guangjian Yan, Zhao Liu, Bin Yang, Chi Chen, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni
2015	J	`jnl`	A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Trans. Geosci. Remote. Sens. Saikat Basu, Sangram Ganguly, Ramakrishna R. Nemani, Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, Andrew R. Michaelis, Petr Votava, Ralph Dubayah, Laura Duncanson, Bruce D. Cook, Yifan Yu, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li
2015	J	`jnl`	A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation. Int. J. Web Serv. Res. Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Shuai Wang, Venkatesh Sriram, Neeraj Saini, Pujita Rao, Ramakrishna R. Nemani
2015	J	`jnl`	A community-oriented workflow reuse and recommendation technique. Int. J. Bus. Process. Integr. Manag. Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
2015	J	`jnl`	DeepSat - A Learning framework for Satellite Imagery. CoRR Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2015	—	`conf`	DeepSat: a learning framework for satellite imagery. SIGSPATIAL/GIS Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
2015	B	`conf`	Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. ESANN Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
2015	J	`jnl`	Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. CoRR Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
2015	Misc	`conf`	Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. IRI Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani
2015	Misc	`conf`	Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. IRI Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani
2014	—	`conf`	A Community-Driven Workflow Recommendations and Reuse Infrastructure. SOSE Jia Zhang, Chris Lee, Sean Xiao, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
2013	—	`conf`	A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation. IEEE SCC Jia Zhang, Petr Votava, Tsengdar J. Lee, Shrikant Adhikarla, Isaraporn Cherry Kulkumjon, Matthew Schlau, Divya Natesan, Ramakrishna R. Nemani
2013	J	`jnl`	Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA. Remote. Sens. Yuli Shi, Sungho Choi, Xiliang Ni, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
2013	J	`jnl`	Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. Remote. Sens. Sungho Choi, Xiliang Ni, Yuli Shi, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
2013	B	`conf`	Bridging VisTrails Scientific Workflow Management System to High Performance Computing. SERVICES Jia Zhang, Petr Votava, Tsengdar J. Lee, Owen Chu, Clyde Li, David Liu, Kate Liu, Norman Xin, Ramakrishna R. Nemani
2013	J	`jnl`	Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011. Remote. Sens. Zaichun Zhu, Jian Bi, Yaozhong Pan, Sangram Ganguly, Alessandro Anav, Liang Xu, Arindam Samanta, Shilong Piao, Ramakrishna R. Nemani, Ranga B. Myneni
2013	J	`jnl`	Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. Remote. Sens. Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Jun Xiong, Sangram Ganguly, Zaichun Zhu, Ramakrishna R. Nemani
2013	J	`jnl`	The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail. IEEE Trans. Geosci. Remote. Sens. Jianjun Zhao, Yeqiao Wang, Hirofumi Hashimoto, Forrest S. Melton, Samuel H. Hiatt, Hongyan Zhang, Ramakrishna R. Nemani
2012	J	`jnl`	Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data. Remote. Sens. Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Michael A. White, Sangram Ganguly, Minoru Gamo, Ryuichi Hirata, Ranga B. Myneni, Ramakrishna R. Nemani
2012	J	`jnl`	River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Eric M. Danner, Forrest S. Melton, Andrew Pike, Hirofumi Hashimoto, Andrew R. Michaelis, Balaji Rajagopalan, Jason Caldwell, Lynn DeWitt, Steven Lindley, Ramakrishna R. Nemani
2012	J	`jnl`	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. Sel. Top. Appl. Earth Obs. Remote. Sens. Forrest S. Melton, Lee F. Johnson, Christopher P. Lund, Lars L. Pierce, Andrew R. Michaelis, Samuel H. Hiatt, Alberto Guzman, Diganta D. Adhikari, Adam J. Purdy, Carolyn Rosevelt, Petr Votava, Thomas J. Trout, Bekele Temesgen, Kent Frame, Edwin J. Sheffner, Ramakrishna R. Nemani
2010	—	`conf`	A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data. WHISPERS Sangram Ganguly, Ramakrishna R. Nemani, Yuri Knyazikhin, Weile Wang, Hirofumi Hashimoto, Petr Votava, Andrew R. Michaelis, Cristina Milesi, Jennifer L. Dungan, Forrest S. Melton, Ranga B. Myneni
2010	J	`jnl`	Decadal Variations in NDVI and Food Production in India. Remote. Sens. Cristina Milesi, Arindam Samanta, Hirofumi Hashimoto, K. Krishna Kumar, Sangram Ganguly, Prasad S. Thenkabail, Ashok N. Srivastava, Ramakrishna R. Nemani, Ranga B. Myneni
2010	C	`conf`	Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the appalachian trail. IGARSS Yeqiao Wang, Ramakrishna R. Nemani, Fred Dieffenbach, Kenneth Stolte, Glenn Holcomb, Matt Robinson, C. Casey Reese, Marcia McNiff, Roland Duhaime, Geri Tierney, Brian Mitche, Peter August, Peter Paton, Charles LaBash
2006	J	`jnl`	Analysis of leaf area index and fraction of PAR absorbed by vegetation products from the terra MODIS sensor: 2000-2005. IEEE Trans. Geosci. Remote. Sens. Wenze Yang, Dong Huang, Bin Tan, Julienne C. Stroeve, Nikolay V. Shabanov, Yuri Knyazikhin, Ramakrishna R. Nemani, Ranga B. Myneni
2006	J	`jnl`	Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Trans. Geosci. Remote. Sens. Faith Ann Heinsch, Maosheng Zhao, Steven W. Running, John S. Kimball, Ramakrishna R. Nemani, Kenneth J. Davis, Paul V. Bolstad, Bruce D. Cook, Ankur R. Desai, Daniel M. Ricciuto, Beverly E. Law, Walt C. Oechel, Hyojung Kwon, Hongyan Luo, Steven C. Wofsy, Allison L. Dunn, J. William Munger, Dennis D. Baldocchi, Liukang Xu, David Y. Hollinger, Andrew D. Richardson, Paul C. Stoy, Mario B. S. Siqueira, Russell K. Monson, Sean P. Burns, Lawrence B. Flanagan
2006	J	`jnl`	MODIS leaf area index products: from validation to algorithm improvement. IEEE Trans. Geosci. Remote. Sens. Wenze Yang, Bin Tan, Dong Huang, Miina Rautiainen, Nikolay V. Shabanov, Yujie Wang, Jeffrey L. Privette, Karl Fred Huemmrich, Rasmus Fensholt, Inge Sandholt, Marie Weiss, Douglas E. Ahl, Stith T. Gower, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni
2006	J	`jnl`	Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine. IEEE Trans. Geosci. Remote. Sens. Feihua Yang, Michael A. White, Andrew R. Michaelis, Kazuhito Ichii, Hirofumi Hashimoto, Petr Votava, A-Xing Zhu, Ramakrishna R. Nemani
2005	J	`jnl`	A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales. Environ. Model. Softw. William Matt Jolly, Jonathan M. Graham, Andrew R. Michaelis, Ramakrishna R. Nemani, Steven W. Running
2005	C	`conf`	Evaluation of decision trees for cloud detection from AVHRR data. IGARSS Smadar Shiffman, Ramakrishna R. Nemani
2003	J	`jnl`	Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status. IEEE Trans. Geosci. Remote. Sens. Kenlo Nishida, Ramakrishna R. Nemani, Joseph Glassy, Steven W. Running
2003	—	`conf`	Parallel Distributed Application Framework for Earth Science Data Processing. ScanGIS Petr Votava, Ramakrishna R. Nemani, Keith Golden, Daniel E. Cooke, Hector Hernandez, Changming Ma
1998	J	`jnl`	The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research. IEEE Trans. Geosci. Remote. Sens. Christopher Justice, Eric F. Vermote, John R. Townshend, Ruth S. DeFries, David P. Roy, Dorothy K. Hall, Vincent V. Salomonson, Jeffrey L. Privette, George A. Riggs, Alan H. Strahler, Wolfgang Lucht, Ranga B. Myneni, Yuri Knyazikhin, Steven W. Running, Ramakrishna R. Nemani, Zhengming Wan, Alfredo R. Huete, Wim van Leeuwen, Robert E. Wolfe, Louis Giglio, Jan-Peter Muller, Philip Lewis, Michael J. Barnsley
1997	J	`jnl`	Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Trans. Geosci. Remote. Sens. Ranga B. Myneni, Ramakrishna Ramakrishna, Ramakrishna R. Nemani, Steven W. Running