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ORCIDAndrew R. Michaelis
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- affiliation: NASA Ames Research Center, CA, USA
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2020 – today
- 2022
[j10]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): 964 (2022)- [j9]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: 1-11 (2022) - 2020
- [c6]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: 128-131 - [c5]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: 4513-4515 - [i3]Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani:
Spectral Synthesis for Satellite-to-Satellite Translation. CoRR abs/2010.06045 (2020)
2010 – 2019
- 2019
- [i2]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) - 2018
- [c4]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 - [c3]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 - 2017
- [j8]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) - [c2]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 - [i1]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
- [j7]Karen Schleeweis, Samuel N. Goward, Chengquan Huang, John L. Dwyer, Jennifer L. Dungan, Mary A. Lindsey, Andrew R. Michaelis, Khaldoun Rishmawi, Jeffrey G. Masek:
Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US. Int. J. Digit. Earth 9(10): 963-980 (2016) - 2015
- [j6]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) - 2014
- [j5]Sinkyu Kang, Steven W. Running, John S. Kimball, Daniel B. Fagre, Andrew R. Michaelis, David L. Peterson, Jessica E. Halofsky, Sukyoung Hong:
Effects of spatial and temporal climatic variability on terrestrial carbon and water fluxes in the Pacific Northwest, USA. Environ. Model. Softw. 51: 228-239 (2014) - 2012
- [j4]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): 1709-1721 (2012) - [j3]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): 1752-1760 (2012) - 2010
- [c1]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
2000 – 2009
- 2006
- [j2]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): 3452-3461 (2006) - 2005
- [j1]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): 873-882 (2005)
Coauthor Index
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