News & Events - 2004

ERT wins Maryland Environmental Service (MES) Professional Services for Multiple Architectural and Engineering Projects Contract

October 18, 2004 - ERT was selected to provide Solid and Hazardous Waste Management Services to MES including solid waste engineering and management; environmental assessments and compliance; site investigations; contaminant remedial design and actions; wetlands and forest stand delineation and assessments; surveying services; drafting/CADD and GIS mapping; structural, electrical, and mechanical design support; and construction inspection and management.

ERT wins Baltimore District Army Corps of Engineers (USACE) Indefinite Delivery Contract (IDC) for Hazardous, Toxic, and Radioactive Waste (HTRW) for Various Sites within the North Atlantic Division and Assigned Mission Areas

October 12, 2004 - ERT was selected to provide environmental services to the Army Corps of Engineers including study, investigation, design and construction phase engineering services for HTRW and Munitions and Explosives of concern (MEC) sites and environmental remediation services in support of remedial actions and long-term Operations and Maintenance (O&M). The contract is for 5 years and is valued at $10M.

ERT wins NASA Landsat Data Continuity Mission (LDCM) Risk Reduction Prototype contract

July 9, 2004 - ERT was selected to provide science support services to NASA Landsat Data Continuity Mission (LDCM) risk reduction prototype project. ERT will be generating Algorithm Description Documents (ADD), summarizing the theoretical basis and defining the required algorithms for the generation of a "seasonal" Landsat Surface Reflectance Composite (SRC). The "seasonal" Landsat SRC shall be prototyped, validated, and modified as necessary, and then adapted for use in other sources of moderate-resolution imagery. ERT will use surface reflectance composites to develop a biophysical suite of standard products and will collaborate with researchers in GSFC Code 922 to implement reflectance compositing approaches within an operational processing framework.