Andrew R. Michaelis

According to our database, Andrew R. Michaelis authored at least 17 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Spectral Synthesis for Geostationary Satellite-to-Satellite Translation.

Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani

IEEE Trans. Geosci. Remote. Sens., 2022

A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations.

Weile Wang, Yujie Wang, Alexei I. Lyapustin, Hirofumi Hashimoto, Taejin Park, Andrew R. Michaelis, Ramakrishna R. Nemani

Remote. Sens., 2022

2020

Spectral Synthesis for Satellite-to-Satellite Translation.

Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani

CoRR, 2020

GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Hourly GPP Estimation in Australia Using Himawari-8 AHI Products.

Hirofumi Hashimoto, Weile Wang, Andrew R. Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ramakrishna R. Nemani

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.

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

Remote. Sens., 2017

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US.

Karen Schleeweis, Samuel N. Goward, Chengquan Huang, John L. Dwyer, Jennifer L. Dungan, Mary A. Lindsey, Andrew R. Michaelis, Khaldoun Rishmawi, Jeffrey G. Masek

Int. J. Digit. Earth, 2016

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, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li

IEEE Trans. Geosci. Remote. Sens., 2015

2014

Effects of spatial and temporal climatic variability on terrestrial carbon and water fluxes in the Pacific Northwest, USA.

Sinkyu Kang, Steven W. Running, John S. Kimball, Daniel B. Fagre, Andrew R. Michaelis, David L. Peterson, Jessica E. Halofsky, Sukyoung Hong

Environ. Model. Softw., 2014

2012

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.

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

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

River Temperature Forecasting: A Coupled-Modeling Framework for Management of River Habitat.

Eric M. Danner, Forrest S. Melton, Andrew Pike, Hirofumi Hashimoto, Andrew R. Michaelis, Balaji Rajagopalan, Jason Caldwell, Lynn DeWitt, Steven Lindley, Ramakrishna R. Nemani

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

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

Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

2006

Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine.

Feihua Yang, Michael A. White, Andrew R. Michaelis, Kazuhito Ichii, Hirofumi Hashimoto, Petr Votava, A-Xing Zhu, Ramakrishna R. Nemani

IEEE Trans. Geosci. Remote. Sens., 2006

2005

A flexible, integrated system for generating meteorological surfaces derived from point sources across multiple geographic scales.

William M. Jolly, Jonathan M. Graham, Andrew R. Michaelis, Ramakrishna R. Nemani, Steven W. Running

Environ. Model. Softw., 2005