Ramakrishna R. Nemani

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 42

Top Topics

Satellite Imagery

Texture Classification

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Thomas J. Vandal, Ramakrishna R. Nemani
Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani
Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access 10 (2022)
Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani
Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. KDD (2022)
Subodh Kalia, Chilukuri K. Mohan, Ramakrishna R. Nemani
Evolutionary training of deep neural networks on heterogeneous computing environments. GECCO Companion (2022)
Weile Wang, Yujie Wang, Alexei I. Lyapustin, Hirofumi Hashimoto, Taejin Park, Andrew R. Michaelis, Ramakrishna R. Nemani
A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations. Remote. Sens. 14 (4) (2022)
Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani
Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yepei Chen, Kaimin Sun, Wenzhuo Li, Chi Chen, Pengfei Li, Ting Bai, Taejin Park, Weile Wang, Ramakrishna R. Nemani, Ranga B. Myneni
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. 14 (2021)
Hirofumi Hashimoto, Weile Wang, Andrew R. Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ramakrishna R. Nemani
Hourly GPP Estimation in Australia Using Himawari-8 AHI Products. IGARSS (2020)
Weile Wang, Shuang Li, Hirofumi Hashimoto, Hideaki Takenaka, Atsushi Higuchi, Satya Kalluri, Ramakrishna R. Nemani
An Introduction to the Geostationary-NASA Earth Exchange (GeoNEX) Products: 1. Top-of-Atmosphere Reflectance and Brightness Temperature. Remote. Sens. 12 (8) (2020)
Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. CoRR (2020)
Thomas Vandal, Daniel J. McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani
Spectral Synthesis for Satellite-to-Satellite Translation. CoRR (2020)
Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. KDD (2020)
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
GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems. IGARSS (2020)
Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. Remote. Sens. 12 (2) (2020)
Shuang Li, Weile Wang, Hirofumi Hashimoto, Jun Xiong, Thomas Vandal, Jing Yao, Lexiang Qian, Kazuhito Ichii, Alexei I. Lyapustin, Yujie Wang, Ramakrishna R. Nemani
First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI. Remote. Sens. 11 (24) (2019)
Ramakrishna R. Nemani
Earth Observations from a New Generation of Geostationary Satellites. KDD (2019)
Dawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna R. Nemani, Subimal Ghosh
Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach. Remote. Sens. 11 (22) (2019)
Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR (2019)
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
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR (2019)
Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. CoRR (2019)
Thomas Vandal, Ramakrishna R. Nemani
Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data. CoRR (2019)
Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. Remote. Sens. 11 (19) (2019)
Yepei Chen, Kaimin Sun, Chi Chen, Ting Bai, Taejin Park, Weile Wang, Ramakrishna R. Nemani, Ranga B. Myneni
Generation and Evaluation of LAI and FPAR Products from Himawari-8 Advanced Himawari Imager (AHI) Data. Remote. Sens. 11 (13) (2019)
Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data 2 (2019)
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
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops (2018)
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. 10 (1) (2018)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR (2018)
Weile Wang, Ramakrishna R. Nemani, Hirofumi Hashimoto, Sangram Ganguly, Dong Huang, Yuri Knyazikhin, Ranga B. Myneni, Govindasamy Bala
An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes. Remote. Sens. 10 (11) (2018)
Jia Zhang, Maryam Pourreza, Seungwon Lee, Ramakrishna R. Nemani, Tsengdar J. Lee
Unit of Work Supporting Generative Scientific Workflow Recommendation. ICSOC (2018)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD (2018)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI (2018)
Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
Deep neural networks for texture classification - A theoretical analysis. Neural Networks 97 (2018)
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani
RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
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
Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote. Sens. 9 (11) (2017)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD (2017)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR (2017)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. 45 (3) (2017)
Kai Yan, Taejin Park, Guangjian Yan, Chi Chen, Bin Yang, Zhao Liu, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni
Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements. Remote. Sens. 8 (5) (2016)
Kai Yan, Taejin Park, Guangjian Yan, Zhao Liu, Bin Yang, Chi Chen, Ramakrishna R. Nemani, Yuri Knyazikhin, Ranga B. Myneni
Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison. Remote. Sens. 8 (6) (2016)
Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka
A theoretical analysis of Deep Neural Networks for texture classification. IJCNN (2016)
Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka
A Theoretical Analysis of Deep Neural Networks for Texture Classification. CoRR (2016)
Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Shuai Wang, Venkatesh Sriram, Neeraj Saini, Pujita Rao, Ramakrishna R. Nemani
A Trust-Powered Technique to Facilitate Scientific Tool Discovery and Recommendation. Int. J. Web Serv. Res. 12 (3) (2015)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. ESANN (2015)
Uttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani
Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. IRI (2015)
Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
A community-oriented workflow reuse and recommendation technique. Int. J. Bus. Process. Integr. Manag. 7 (3) (2015)
Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. CoRR (2015)
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat: a learning framework for satellite imagery. SIGSPATIAL/GIS (2015)
Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani
DeepSat - A Learning framework for Satellite Imagery. CoRR (2015)
Uttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani
Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. IRI (2015)
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
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 (10) (2015)
Jia Zhang, Chris Lee, Sean Xiao, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster
A Community-Driven Workflow Recommendations and Reuse Infrastructure. SOSE (2014)
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
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA. Remote. Sens. 5 (1) (2013)
Jia Zhang, Petr Votava, Tsengdar J. Lee, Shrikant Adhikarla, Isaraporn Cherry Kulkumjon, Matthew Schlau, Divya Natesan, Ramakrishna R. Nemani
A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation. IEEE SCC (2013)
Zaichun Zhu, Jian Bi, Yaozhong Pan, Sangram Ganguly, Alessandro Anav, Liang Xu, Arindam Samanta, Shilong Piao, Ramakrishna R. Nemani, Ranga B. Myneni
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. 5 (2) (2013)
Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Jun Xiong, Sangram Ganguly, Zaichun Zhu, Ramakrishna R. Nemani
Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. Remote. Sens. 5 (3) (2013)
Jianjun Zhao, Yeqiao Wang, Hirofumi Hashimoto, Forrest S. Melton, Samuel H. Hiatt, Hongyan Zhang, Ramakrishna R. Nemani
The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail. IEEE Trans. Geosci. Remote. Sens. 51 (4-1) (2013)
Jia Zhang, Petr Votava, Tsengdar J. Lee, Owen Chu, Clyde Li, David Liu, Kate Liu, Norman Xin, Ramakrishna R. Nemani
Bridging VisTrails Scientific Workflow Management System to High Performance Computing. SERVICES (2013)
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
Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. Remote. Sens. 5 (1) (2013)
Eric M. Danner, Forrest S. Melton, Andrew Pike, Hirofumi Hashimoto, Andrew R. Michaelis, Balaji Rajagopalan, Jason Caldwell, Lynn DeWitt, Steven Lindley, Ramakrishna R. Nemani
River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (6) (2012)
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
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. 5 (6) (2012)
Hirofumi Hashimoto, Weile Wang, Cristina Milesi, Michael A. White, Sangram Ganguly, Minoru Gamo, Ryuichi Hirata, Ranga B. Myneni, Ramakrishna R. Nemani
Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data. Remote. Sens. 4 (1) (2012)
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
Development of a decision support system for monitoring, reporting and forecasting ecological conditions of the appalachian trail. IGARSS (2010)
Cristina Milesi, Arindam Samanta, Hirofumi Hashimoto, K. Krishna Kumar, Sangram Ganguly, Prasad S. Thenkabail, Ashok N. Srivastava, Ramakrishna R. Nemani, Ranga B. Myneni
Decadal Variations in NDVI and Food Production in India. Remote. Sens. 2 (3) (2010)
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
A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data. WHISPERS (2010)
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
MODIS leaf area index products: from validation to algorithm improvement. IEEE Trans. Geosci. Remote. Sens. 44 (7-1) (2006)
Feihua Yang, Michael A. White, Andrew R. Michaelis, Kazuhito Ichii, Hirofumi Hashimoto, Petr Votava, A-Xing Zhu, Ramakrishna R. Nemani
Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine. IEEE Trans. Geosci. Remote. Sens. 44 (11-2) (2006)
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
Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Trans. Geosci. Remote. Sens. 44 (7-1) (2006)
Wenze Yang, Dong Huang, Bin Tan, Julienne C. Stroeve, Nikolay V. Shabanov, Yuri Knyazikhin, Ramakrishna R. Nemani, Ranga B. Myneni
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. 44 (7-1) (2006)
William M. Jolly, Jonathan M. Graham, Andrew R. Michaelis, Ramakrishna R. Nemani, Steven W. Running
A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales. Environ. Model. Softw. 20 (7) (2005)
Smadar Shiffman, Ramakrishna R. Nemani
Evaluation of decision trees for cloud detection from AVHRR data. IGARSS (2005)
Kenlo Nishida, Ramakrishna R. Nemani, Joseph Glassy, Steven W. Running
Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status. IEEE Trans. Geosci. Remote. Sens. 41 (2) (2003)
Petr Votava, Ramakrishna R. Nemani, Keith Golden, Daniel E. Cooke, Hector Hernandez, Changming Ma
Parallel Distributed Application Framework for Earth Science Data Processing. ScanGIS (2003)
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
The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research. IEEE Trans. Geosci. Remote. Sens. 36 (4) (1998)
Ranga B. Myneni, Ramakrishna Ramakrishna, Ramakrishna R. Nemani, Steven W. Running
Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Trans. Geosci. Remote. Sens. 35 (6) (1997)