Ambiência (Sep 2008)
Integration of LIDAR, optical remotely sensed, and ancillary data for forest monitoring and Grizzly bear habitat characterization / Integração de LIDAR, sensores remotos óticos e dados auxiliares para o monitoramento fl orestal e caracterização do habitat dos ursos Grizzly
Abstract
Forest management and reporting information needs are becomingincreasingly complex in Canada. Inclusion of timber and non-timber considerations for both management and reporting has resulted inopportunities for integration of data from differing sources to provide the desired information. Canada’s forested land-base is over 400million hectares in size and fulfi lls important ecological and economic functions. In this communication we describe how remotely senseddata and other available spatial data layers capture different forestcharacteristics and conditions, and how these varying data sources may be combined to provide otherwise unavailable information. For instance, light detection and ranging (LIDAR) confers information regardingvertical forest structure; high spatial resolution imagery captures (indetail) the horizontal distribution and arrangement of vegetation andvegetation conditions; and, moderate spatial resolution imagery providesconsistent wide-area depictions of forest conditions. Furthermore, coarsespatial resolution imagery, with a high temporal density, can be blended with data of a higher spatial resolution to generate moderate spatialresolution data with a high temporal density. These remotely sensed datasources, when combined with existing spatial data layers such as forest inventory and digital terrain models, provide useful information thatmay be used to address, through modelling, questions regarding forest condition, structure, and change. In this communication, we discuss the importance of data integration and ultimately, information generation, inthe context of Grizzly bear habitat characterization. Grizzly bear habitat in western Canada is currently undergoing pressure from a combination of anthropogenic activities and a widespread outbreak of mountain pine beetle, resulting in a variety of information needs, including: detailed depictions of horizontal and vertical vegetation structure over large areasto support bark beetle susceptibility mapping and habitat modelling;moderate spatial resolution data to capture changes in infestation conditions over time to support change detection and wall-to-wallmapping; and, coarse spatial resolution data to provide increased temporaldetail enabling capture of within-year alterations to Grizzly habitat.
