Welcome to the MGHPCC Virtual Booth

University of Massachusetts

Boston

Remote Sensing of Earth Systems

Crystal Schaaff's Lab works on projects related to the remote sensing of landscape-scale ecological processes in an effort to monitor and model global environmental change.

Prof Schaaff is a member of the NASA MODIS science team. MGHPCC was used to process the NASA satellite data product “MCD43GF”, version 6.1. This data product is from the MODIS instrument on the Terra and Aqua satellites, and is the BRDF/Albedo Gap-Filled Snow-Free Daily L3 Global 30ArcSec CMG. This project used 320 cores and over 2TB RAM to run C-based processing code. To accommodate the required level of throughput without I/O-limiting the compute usage, data were staged on a UMass data server and transferred to and from MGHPCC between jobs.

https://www.umb.edu/spectralmass/
Crystal Schaaf
Professor of Remote Sensing/GIS, School for the Environment & Director, Geospatial Analysis and Modeling for the Environment, University of Massachusetts, Boston

Consortium

Featured projects

SC23 Project
Computing Social Capital
SC23 Project
Neural Networks & Earthquakes
SC23 Project
NeuraChip
SC23 Project
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
SC23 Project
Energy Transport and Ultrafast Spectroscopy Lab
SC23 Project
URI Center for Computational Research
SC23 Project
UMass – URI Unity Cluster
SC23 Project
Computational Molecular Ecology
SC23 Project
Cyber-Physical Communication Network Security
SC23 Project
Remote Sensing of Earth Systems
SC23 Project
Genome Forecasting
SC23 Project
SC23 Student Cluster Competition
SC23 Project
OSN 1 – Accessing Storage
SC23 Project
Campus Champions
SC23 Project
Harvard FASRC
SC23 Project
SEQer – Sequence Evaluation in Realtime
SC23 Project
ACAS X: A Family of Next-Generation Collision Avoidance Systems
SC23 Project
A Future of Unmanned Aerial Vehicles
Knowledge Base
Climate Health and Air Pollution in India
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
The Center for Scientific Computing and Data Science Research (CSCDR)
AI Computing and the AI Jumpstart Cluster
AI for Dementia Assessment
Measuring Nationwide Park Access
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
Refugee Migration and Return on Social Media
Modeling Molecular Dynamics for Drug Delivery
Expanding Computing Education Pathways (ECEP) Alliance
Machine Learning and Wastewater
Candidate Driver Analysis of Multi-omics Data (CaDrA)
OpenCilk
Wearable Health Technology
Deepfake Caricatures
Invisible Tags
ElectroVoxels: Modular Self-reconfigurable Robots
Color Changing Objects
The Mass Open Cloud Alliance (MOC Alliance)
Open Cloud Testbed (OCT)
Ecosystem for Research Networking (ERN)
SC23 Project
OSN 2 – Deploying Storage
ACCESS Support (MATCH)
ConnectCI
Ask.CI
The UMass-URI Gravity Research Consortium (U2GRC)
Billion Object Platform
Predicting Kinetic Solvent Effects
Predicting Reaction Barrier Heights
Aviation Weather Decision Support Laboratory Tour
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
Conclave Cloud Dataverse: Protected Computing in the Datacenter
Large-Scale Brain Mapping
AI for HPC Analytics
Offshore Precipitation Capability (OPC) System
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
Next Generation Aircraft Collision Avoidance System ACAS X
Learning-Task Informed Abstractions
Research Software Engineering
LLSC Articles and Publications
Software for Unreliable Quantum Computers
FlyNet
Simulating Large Biomolecular Assemblies
Lichtman Lab – Center for Brain Science
Black Hole Initiative
Lincoln Laboratory Supercomputing Center (LLSC)
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