Andrew R. Michaelis

发表

Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images

Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

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

Ramakrishna R. Nemani, Thomas J. Trout, Petr Votava, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

GEONEX: CloudCNN 2.0 - A Deep Neural Network for Real-time Cloud Type Classification and Segmentation from Geostationary Data

Sangram Ganguly, Ramakrishna R. Nemani, Shuang Li, 2018 .

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

Hirofumi Hashimoto, Ramakrishna R. Nemani, Balaji Rajagopalan, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

A-Xing Zhu, Hirofumi Hashimoto, Michael A. White, 2006, IEEE Transactions on Geoscience and Remote Sensing.

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

John S. Kimball, Steven W. Running, Sukyoung Hong, 2014, Environ. Model. Softw..

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture

Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, 2015, IEEE Transactions on Geoscience and Remote Sensing.

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

Chengquan Huang, Jennifer L. Dungan, Jeffrey G. Masek, 2016, Int. J. Digit. Earth.

A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data

Jennifer L. Dungan, Hirofumi Hashimoto, Weile Wang, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

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

Ramakrishna R. Nemani, Steven W. Running, Jonathan M. Graham, 2005, Environ. Model. Softw..

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution

Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly, 2017, KDD.

Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version

Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly, 2018, IJCAI.

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

Hirofumi Hashimoto, Weile Wang, Cristina Milesi, 2017, Remote. Sens..