Commensurate with accelerating advances in remote sensing, satellite telemetry, and geographic information system (GIS) technology, the primary objective of this project is to evaluate and apply these state-of-the-art tools for developing or improving the methodologies used in wildlife and ecosystem research. The need for cost-effective techniques to systematically acquire environmental data for remote or inaccessible areas, and locational data for highly mobile or migratory species, crosses agency, program and issue boundaries. This is especially true in arctic regions, where numerous fish and wildlife populations range, often internationally, across extensive landscapes of tundra, boreal forest, polar sea-ice, and aquatic ecosystems. Remote sensing technologies provide alternatives to traditional sampling methods, which are typically too expensive to implement across large spatial scales or severely compromised by extreme weather conditions and extended winter darkness. Satellite and airborne images of the earths surface provide data for mapping and monitoring a wide variety of environmental conditions and dynamics such as sea-ice, ocean temperature, land cover, vegetation phenology, snow cover, fire, and human perturbation. Over the past decade, satellite telemetry has demonstrated its capability to provide critical information for addressing numerous issues including declining populations, endangered species recovery, census techniques, impact assessments, identification of population stocks, and assessment of critical habitat. Computer software programs, collectively called geographic information systems, have greatly facilitated the analytical integration of wildlife distribution data with any number of thematic maps describing environmental characteristics. Application of these evolving and advancing technologies provides innovative methods to address complex natural resource issues and provide better information toward making well-informed management decisions.