FORT’s in-house GIS and Remote Sensing Team supports the advancement of ecological research by designing and developing geospatial databases and designing, developing, and performing geospatial analyses and modeling, both independently and at the request of FORT scientists and clients. Specifically, the team provides expertise in geographic information systems (GIS), geospatial statistics, computer programming, global positioning systems (GPS), aerial photography and satellite image processing, metadata, publication-quality geo-graphics, and relational database management systems (RDBMS).
The team leads FORT in the implementation, management, and application of both high throughput computing (using Condor software) and high performance computing for geospatial and non-geospatial applications. These technologies are used to derive information from data for a variety of research efforts pertaining to wildfire, habitat quality, land use, invasive species distribution, climate change, and many other resource issues of national importance. They also provide consultation, technical support, and limited training in these disciplines for FORT staff, and maintain advanced geospatial and geospatial-related software along with high-resolution scanners, plotters, and other devices utilizing the newest technologies.
In alignment with the USGS mission area of ecosystems, this team will:
Utilize up-to-date versions of ArcGIS; ERDAS Imagine and ENVI + IDL with Feature Extraction (remote sensing/image processing); a variety of GPS receivers and accessories; relational database management systems (RDBMS); computer programs for processing and modeling spatial data; Condor high throughput computing; and metadata to integrate, analyze, visualize, and apply biological information to natural resource issues;
Facilitate the advancement of environmental science and technology research for mapping and monitoring the nation's biological resources;
Provide products and services to FORT scientists and clients to meet their geospatial science needs including GIS database development; processing and modeling of spatial data; hard-copy and soft-copy map resources; relational databases tied to geospatial data; metadata; and other GIS, GPS, and remote sensing/image processing applications; and
Examine, test, and implement inventory and monitoring methods in cooperation with our partners to enable a determination of the status and trends of biological resources.