Geoinformatics and Earth Observation Laboratory (GEOlab)

Department of Geography ◆ Institute for Computational and Data Sciences (ICDS) ◆ Earth and Environmental Systems Institute (EESI) ◆ The Pennsylvania State University

Research


The projects performed in the laboratory can be divided into two general categories: Remote Sensing and Geoinformatics.

PAnEn

Analog Ensemble

PAnEn: Parallel Analog Ensemble

Primary Investigator: Weiming Hu.

Probabilistic prediction of extreme weather events using the Analog Ensemble technique

Primary Investigator: Martina Calovi.

Dynamically Optimized Unstructured Grid (DOUG) for Analog Ensemble

Primary Investigator: Weiming Hu. Co-Primary Investigator: Michael Mann, PSU; Shanteanu Jha, Rutgers University.

Extreme Heat Event Identification with Analog Ensemble

Primary Investigator: Alon Sidel.


Remote Sensing

The primary sponsor for these projects is the Office of Naval Research. Most of the project focus on the fusion of massive amounts of data from heterogeneous sources, including but not limited to satellite and aerial remote sensing data, atmospheric numerical models, ground sensors, crowd sourced measurements and social media.

Unmanned Aerial Systems for Streamflow Estimation

Primary Investigator: Courtney Jackson; Co-Primary Investigator: Alfred Kalyanapu, Tennessee Technological University

Multiple Geometry Atmospheric Correction for Image Spectroscopy using Deep Learning

Primary Investigator: Fangcao Xu. Co-Primary Investigator: Guido Cervone, PSU and Mark Salvador, Zi INC.


Geoinformatics

The primary sponsors for these projects are National Science Foundation, US Army, and the National Center for Atmospheric Research (NCAR). Several of the projects are related to the use of the Analog Ensemble (AnEn) technique, which is being jointly developed at Penn State and at NCAR.

Overwintering survival of honey bee under climate change condition

Primary Investigator: Martina Calovi.

Species Distribution Model and climate change

Primary Investigator: Martina Calovi.