Sangram Ganguly

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 20

Top Topics

Theoretical Analysis

Feature Representations

Satellite Imagery

Top Venues

Publications

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)
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)
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)
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)
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)
Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard
Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. PPSN (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. 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)
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)
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
Semantic Forward Propagation for Symbolic Regression. PPSN (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)
Marcin Szubert, Anuradha Kodali, Sangram Ganguly, Kamalika Das, Josh C. Bongard
Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming. GECCO (2016)
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)
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)
Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly
An Agile Framework for Real-Time Motion Tracking. COMPSAC Workshops (2015)
Saikat Basu, Manohar Karki, Malcolm Stagg, Robert DiBiano, Sangram Ganguly, Supratik Mukhopadhyay
MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. VISAPP (3) (2015)
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)
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)
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)
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)
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)
Jeganathan Chockalingam, Sangram Ganguly, Jadu Dash, Mark A. Friedl, Peter M. Atkinson
Terrestrial vegetation phenology from MODIS and MERIS. IGARSS (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)
Ana Prieto-Blanco, Mathias Disney, Philip Lewis, José Gómez-Dans, Sangram Ganguly
Satellite Monitoring of Disturbances in Arctic Ecosystems. IGARSS (3) (2009)
Mitchell Schull, Sangram Ganguly, Arindam Samanta, Julian Jenkins, Yuri Knyazikhin, Ranga B. Myneni, Dong Huang
Retrieving 3D canopy structure from synergistic analysis of multi-angle and lidar data. IGARSS (2007)
Sangram Ganguly, Mitchell Schull, Arindam Samanta, Yuri Knyazikhin, Nikolay V. Shabanov, Ranga B. Myneni, Dong Huang
Physically based methodology for generating LAI and FPAR earth system data records from AVHRR and MODIS. IGARSS (2007)