Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS. - Sangram Ganguly; Mitchell Schull; Arindam Samanta; Yuri Knyazikhin; Nikolay V. Shabanov; Ranga B. Myneni; Dong Huang 002 (IGARSS, 2007)

Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data. - Mitchell Schull; Sangram Ganguly; Arindam Samanta; Julian Jenkins; Yuri Knyazikhin; Ranga B. Myneni; Dong Huang 002 (IGARSS, 2007)

Satellite Monitoring of Disturbances in Arctic Ecosystems. - Ana Prieto-Blanco; Mathias Disney; Philip Lewis; José Gómez-Dans; Sangram Ganguly (IGARSS (3), 2009)

Terrestrial vegetation phenology from MODIS and MERIS. - Jeganathan Chockalingam; Sangram Ganguly; Jadu Dash; Mark A. Friedl; Peter M. Atkinson (IGARSS, 2010)

A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data. - 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 (WHISPERS, 2010)

Decadal Variations in NDVI and Food Production in India. - Cristina Milesi; Arindam Samanta; Hirofumi Hashimoto; K. Krishna Kumar; Sangram Ganguly; Prasad S. Thenkabail; Ashok N. Srivastava; Ramakrishna R. Nemani; Ranga B. Myneni (Remote. Sens., 2010)

Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite Data. - Hirofumi Hashimoto; Weile Wang; Cristina Milesi; Michael A. White; Sangram Ganguly; Minoru Gamo; Ryuichi Hirata; Ranga B. Myneni; Ramakrishna R. Nemani (Remote. Sens., 2012)

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. - 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; et al. (Remote. Sens., 2013)

Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. - Hirofumi Hashimoto; Weile Wang; Cristina Milesi; Jun Xiong; Sangram Ganguly; Zaichun Zhu; Ramakrishna R. Nemani (Remote. Sens., 2013)

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USA. - 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; et al. (Remote. Sens., 2013)

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. - Zaichun Zhu; Jian Bi; Yaozhong Pan; Sangram Ganguly; Alessandro Anav; Liang Xu 003; Arindam Samanta; Shilong Piao; Ramakrishna R. Nemani; Ranga B. Myneni (Remote. Sens., 2013)

An Agile Framework for Real-Time Motion Tracking. - Saikat Basu; Robert DiBiano; Manohar Karki; Malcolm Stagg; Jerry Weltman; Supratik Mukhopadhyay; Sangram Ganguly (COMPSAC Workshops, 2015)

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Ramakrishna R. Nemani (ESANN, 2015)

DeepSat: a learning framework for satellite imagery. - Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (SIGSPATIAL/GIS, 2015)

Simplex Projection for Land Cover Information Mining from Landsat-5 TM Data. - Uttam Kumar 001; Cristina Milesi; Sangram Ganguly; S. Kumar Raja; Ramakrishna R. Nemani (IRI, 2015)

Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative Study. - Uttam Kumar 001; Cristina Milesi; S. Kumar Raja; Sangram Ganguly; Ramakrishna R. Nemani (IRI, 2015)

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. - Saikat Basu; Manohar Karki; Malcolm Stagg; Robert DiBiano; Sangram Ganguly; Supratik Mukhopadhyay (VISAPP (3), 2015)

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. - 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 007; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (GECCO, 2016)

A theoretical analysis of Deep Neural Networks for texture classification. - Saikat Basu; Manohar Karki; Supratik Mukhopadhyay; Sangram Ganguly; Ramakrishna R. Nemani; Robert DiBiano; Shreekant Gayaka (IJCNN, 2016)

Semantic Forward Propagation for Symbolic Regression. - Marcin Szubert; Anuradha Kodali; Sangram Ganguly; Kamalika Das; Josh C. Bongard (PPSN, 2016)

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. - Thomas Vandal; Evan Kodra; Sangram Ganguly; Andrew R. Michaelis; Ramakrishna R. Nemani; Auroop R. Ganguly (KDD, 2017)

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Shreekant Gayaka; Rajgopal Kannan; Ramakrishna R. Nemani (Neural Process. Lett., 2017)

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. - Uttam Kumar 001; 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; et al. (Remote. Sens., 2017)

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. - 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 (ICDM Workshops, 2018)

Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. - Thomas Vandal; Evan Kodra; Sangram Ganguly; Andrew R. Michaelis; Ramakrishna R. Nemani; Auroop R. Ganguly (IJCAI, 2018)

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. - Thomas Vandal; Evan Kodra; Jennifer G. Dy; Sangram Ganguly; Ramakrishna R. Nemani; Auroop R. Ganguly (KDD, 2018)

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. - Anuradha Kodali; Marcin Szubert; Kamalika Das; Sangram Ganguly; Joshua Clifford Bongard (PPSN (1), 2018)

Deep neural networks for texture classification - A theoretical analysis. - Saikat Basu; Supratik Mukhopadhyay; Manohar Karki; Robert DiBiano; Sangram Ganguly; Ramakrishna R. Nemani; Shreekant Gayaka (Neural Networks, 2018)

An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer Processes. - Weile Wang; Ramakrishna R. Nemani; Hirofumi Hashimoto; Sangram Ganguly; Dong Huang 002; Yuri Knyazikhin; Ranga B. Myneni; Govindasamy Bala (Remote. Sens., 2018)

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. - Qun Liu 004; Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (CoRR, 2019)

DeepEmSat: Deep Emulation for Satellite Data Mining. - Kate Duffy; Thomas Vandal; Shuang Li; Sangram Ganguly; Ramakrishna R. Nemani; Auroop R. Ganguly (Frontiers Big Data, 2019)

Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis Approach. - Dawn Emil Sebastian; Sangram Ganguly; Jagdish Krishnaswamy; Kate Duffy; Ramakrishna R. Nemani; Subimal Ghosh (Remote. Sens., 2019)

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS. - Vesta Afzali Gorooh; Subodh Kalia; Phu Nguyen; Kuo-lin Hsu; Soroosh Sorooshian; Sangram Ganguly; Ramakrishna R. Nemani (Remote. Sens., 2020)