Project Title
The Application of Advanced Spectral Remote Sensing in Assessment, Monitoring, and Modeling for the Anadromous Salmonids of the Columbia River Basin Ecosystem
Description
This research directly addresses the role of current and future applications of remotely sensed data and geospatial analysis techniques in monitoring and decision support of activities which affect the quality and quantity of Pacific salmon habitat in the Columbia River basin.
We are developing applications in the use of remote sensed imagery classifications that will:
- compare the ability of various types of remote sensed imagery to identify habitat features relevant to anadromous salmonids, and
- track land use and land cover change over time.
The central questions of this project are:
- Can remote sensed data of different spatial and spectral resolutions be used in combination to generate high spatial resolution habitat classifications?
- Can pattern recognition or texture analysis be used to enhance classification of high spatial resolution/low spectral resolution remote sensed data?
- How much of field or ground surveyed information can be gathered using remote sensed data?
- What are the limitations of various remote sensed data layers with respect to habitat feature delineation?
- How much of remote sensed imagery classification process can be automated?
- Are riparian and wetland habitats accurately classified using LADNSAT ETM+ remote sensed data?
- Is it feasible to use change detection of LANDSAT ETM+ remote sensed data in habitat models?
- Does a time series of land use and land cover improve the fit of fish habitat models?
Investigators
Mimi D’Iorio (University of Washington), Blake Feist, Chris Jordan
Collaborators
Miles Logsdon (School of Oceanography, University of Washington)
Support
U.S. Bureau of Reclamation
Watershed Home | LERS |
