Sangram Ganguly - researchr alias

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Viewing Publication 1 - 33 from 33

2020

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCSVesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-Lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani. remotesensing, 12(2):316, 2020. [doi]

2019

DeepEmSat: Deep Emulation for Satellite Data MiningKate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly. fdata, 2:42, 2019. [doi]

Multi-Scale Association between Vegetation Growth and Climate in India: A Wavelet Analysis ApproachDawn Emil Sebastian, Sangram Ganguly, Jagdish Krishnaswamy, Kate Duffy, Ramakrishna Nemani, Subimal Ghosh. remotesensing, 11(22):2703, 2019. [doi]

2018

Deep neural networks for texture classification - A theoretical analysisSaikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka. NN, 97:173-182, 2018. [doi]

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite ImagesEdward 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 2018: 763-769 [doi]

Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree AnalysisAnuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard. ppsn 2018: 525-536 [doi]

Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged VersionThomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly. IJCAI 2018: 5389-5393 [doi]

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep LearningThomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly. kdd 2018: 2377-2386 [doi]

An Interplay between Photons, Canopy Structure, and Recollision Probability: A Review of the Spectral Invariants Theory of 3D Canopy Radiative Transfer ProcessesWeile Wang, Ramakrishna R. Nemani, Hirofumi Hashimoto, Sangram Ganguly, Dong Huang, Yuri Knyazikhin, Ranga B. Myneni, Govindasamy Bala. remotesensing, 10(11):1805, 2018. [doi]

2017

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief NetsSaikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani. npl, 45(3):855-867, 2017. [doi]

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance ComputingUttam 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. remotesensing, 9(11):1105, 2017. [doi]

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-ResolutionThomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly. kdd 2017: 1663-1672 [doi]

2016

2015

An Agile Framework for Real-Time Motion TrackingSaikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly. compsac 2015: 205-210 [doi]

DeepSat: a learning framework for satellite imagerySaikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani. gis 2015: 37 [doi]

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position ModelsSaikat Basu, Manohar Karki, Malcolm Stagg, Robert DiBiano, Sangram Ganguly, Supratik Mukhopadhyay. visapp 2015: 567-574 [doi]

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief NetsSaikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani. esann 2015: [doi]

Simplex Projection for Land Cover Information Mining from Landsat-5 TM DataUttam Kumar, Cristina Milesi, Sangram Ganguly, S. Kumar Raja, Ramakrishna R. Nemani. iri 2015: 244-251 [doi]

Unconstrained Linear Spectral Mixture Models for Spatial Information Extraction: A Comparative StudyUttam Kumar, Cristina Milesi, S. Kumar Raja, Sangram Ganguly, Ramakrishna R. Nemani. iri 2015: 574-581 [doi]

2013

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the ModelSungho 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. remotesensing, 5(1):202-223, 2013. [doi]

Structural Uncertainty in Model-Simulated Trends of Global Gross Primary ProductionHirofumi Hashimoto, Weile Wang, Cristina Milesi, Jun Xiong, Sangram Ganguly, Zaichun Zhu, Ramakrishna R. Nemani. remotesensing, 5(3):1258-1273, 2013. [doi]

Allometric Scaling and Resource Limitations Model of Tree Heights: Part 1. Model Optimization and Testing over Continental USAYuli 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. remotesensing, 5(1):284-306, 2013. [doi]

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 2011Zaichun Zhu, Jian Bi, Yaozhong Pan, Sangram Ganguly, Alessandro Anav, Liang Xu, Arindam Samanta, Shilong Piao, Ramakrishna R. Nemani, Ranga B. Myneni. remotesensing, 5(2):927-948, 2013. [doi]

2012

Exploring Simple Algorithms for Estimating Gross Primary Production in Forested Areas from Satellite DataHirofumi Hashimoto, Weile Wang, Cristina Milesi, Michael A. White, Sangram Ganguly, Minoru Gamo, Ryuichi Hirata, Ranga B. Myneni, Ramakrishna R. Nemani. remotesensing, 4(1):303-326, 2012. [doi]

2010

2009

Satellite Monitoring of Disturbances in Arctic EcosystemsAna Prieto-Blanco, Mathias Disney, Philip Lewis, José Gómez-Dans, Sangram Ganguly. igarss 2009: 585-588 [doi]

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2020

2019

2018

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2010

2009

2007

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