The Columbia Habitat Monitoring Program has tools and teams in place to support the design, data collection, metrics, and analysis of instream habitat data.    The process is supported by an array of technical tools and great care is taken to ensure products are useful and applicable.

The entire CHaMP data flow begins each spring and cycles annually.

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Generate sampling plan

Each spring watersheds review and adjust sampling plans to meet both local and CHaMP data needs.  Sampling designs are stored in PNAMP’s Monitoring Resources Tools.

Field Data Collection

Field crews collect data about in-stream features and the local topography.

Data post-processing

Field crews post-process topographic data using the CHaMP Topographic Toolbar and compile temperature files and site photos.


Data Storage and Quality Checks

Field crews review and quality check post-processed data in the CHaMP monitoring database, which is accessible from This website supports the entire data flow from field data collection to metric generation.


Metrics are generated using analytical models

Quality checked data are run through models to generate additional habitat metrics about sampled field sites.


Watershed and network scale habitat status and trend products are generated.

Analytical models are run to make estimates of habitat status and trend beyond sites that were field sampled.