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ORCIDRamakrishna R. Nemani
- > Home > Persons > Ramakrishna R. Nemani
Publications
- 2020
[j36]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): 316 (2020)- 2019
- [j34]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: 42 (2019) - [j31]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): 2703 (2019) - [i9]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 abs/1902.04604 (2019) - [i6]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 abs/1911.07747 (2019) - 2018
- [j29]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: 173-182 (2018) - [j27]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): 1805 (2018) - [c19]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: 763-769 - [c17]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: 5389-5393 - [c16]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: 2377-2386 - [i5]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 abs/1802.04742 (2018) - 2017
- [j26]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): 855-867 (2017) - [j25]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): 1105 (2017) - [c15]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: 1663-1672 - [i4]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 abs/1703.03126 (2017) - 2016
- [c14]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: 992-999 - [i3]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 abs/1605.02699 (2016) - 2015
- [j19]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): 5690-5708 (2015) - [c13]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 - [c12]Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat: a learning framework for satellite imagery. SIGSPATIAL/GIS 2015: 37:1-37:10 - [c11]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: 244-251 - [c10]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: 574-581 - [i2]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 abs/1509.03413 (2015) - [i1]Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat - A Learning framework for Satellite Imagery. CoRR abs/1509.03602 (2015) - 2013
- [j18]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): 202-223 (2013) - [j17]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): 284-306 (2013) - [j15]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): 927-948 (2013) - [j14]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): 1258-1273 (2013) - 2012
- [j12]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): 303-326 (2012) - 2010
- [j9]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): 758-776 (2010) - [c5]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: 1-4
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