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Facilities

Computational Facilities

ERSL - Environmental Remote Sensing Lab at The City College of New York (CCNY)

The Environmental Remote Sensing and Image Processing Laboratory (ERSL) provides facilities and resources for instruction and research in the areas of environmental remote sensing and spatial data processing using the state-of-the-art capabilities for image processing, mapping, modeling, statistical analysis, and visualization. The ERSL utilizes both PC and UNIX workstation computers that include software for image processing and analysis, as well as a wide array of input-output devices including digitizers, image scanners, and large format color plotters (Lab Location: CM7, Steinman Hall).

GIS and Remote Sensing Lab (T-424)- The City College of New York (CCNY)

The Remote Sensing and GIS Lab provides facilities and resources for instruction and research in the areas of environmental remote sensing and spatial data processing using the state-of-the-art capabilities for image processing, mapping, modeling, statistical analysis, and visualization. This laboratory facility is the instructional center for all GIS and Remote Sensing related courses in the Grove School of Engineering.

The Urban GISc Lab at Lehman College

The Urban GISc Lab focuses on exploring the urban environment through Geographic Information Science. Current research areas include spatial analyses of urban environmental burdens, environmental justice, health disparities, health and the built environment, urban demographics, hazard and risk assessments, and the connections between social and environmental conditions. For more information click here.

CUERG - Coastal Urban Environmental Research Group at The City College of New York

The Coastal Urban Environmental Research Group (CUERG) conducts climate research studies on complex coastal urban areas including but not limited to; the states of California, New York, the islands of Puerto Rico and Dominican Republic. The research includes observational and modeling studies of coastal physical phenomenon and their practical impacts on climate modification. The research group uses the Regional Atmospheric Modeling System (RAMS) developed by scientists from Colorado State University and the Weather Research and Forecasting model (WRF) developed by NCAR as main modeling tools.

CREST Consortium

CREST is led by The City University of New York and brings together Hampton University, VA; University of Puerto Rico at Mayaguez, PR; San Diego State University, CA; University of Maryland Baltimore County, MD; University of Texas at El Paso, TX.