The Safe to Eat Fish and Shellfish Internet Portal

SFEI, together with SWAMP are developing an interactive web application called "The Safe to Eat Fish and Shellfish" Internet Portal for California Water Council. The intent of the portal is to inform environmental managers and the general public oncontaminant levels in fish throughout the State. This second in a series of EnvironmentalInformatics portals went public in December.

Wetland Tracker pilot well received by Regional Water Quality Control Board

Staff from the Regional Water Quality Control Board presented to their Board today findings regarding their pilot use of the Wetland Tracker, a wetland project and habitat tracking system developed at SFEI. Their findings conclude, “...the Wetland Tracker has the potential to be useful in this Region and across the State to evaluate proposed projects that would impact wetlands and riparian areas and to plan wetland and riparian mitigation and restoration projects.

Find yourself a safer place to swim or fish in the Bay Area

Another example of a web dashboard built using R comes from John Oram, a scientist at the San Francisco Estuary Institute. SFEI collects and monitors environmental data from the waters and wetlands of the Bay Area. By sampling the waters, sediments and fish of the San Francisco Bay and testing for toxins, pollutants and other hazards, they monitor the health of the environment for Bay Area residents.

"I can certainly imagine the day when your local surf-safety bulletin or fishing recommendations come from a tool like John's." —David Smith, Revolutions Computing

Map Interpretation

A good knowledge of basic map interpretation is a necessary skill for anyone attempting to create or use a Geographical Information System. This guide to the interpretation and use of maps is adapted from the Sonoma State University Department of Geography course supplement, Map Interpretation, written by Bryan Baker in 1993.

CARI Standards and Mapping Methodology v3.0

CARI is a Geographic Information System (GIS) dataset of surface waters and their riparian areas consisting of polygon and line features with data-rich attributes that can be used for developing broad- or fine-scale landscape summaries of aquatic features. CARI is a seamless statewide map compiled from multiple data sources and standardized to a common classification system.

SDARI v1.1

San Diego Aquatic Resource Inventory (SDARI) is a detailed base map of the San Diego Regional Water Board aquatic features. SDARI was developed using a Geographic Information System (GIS) and semi-automated object based image analysis (OBIA) leveraging both machine learning and rule based classification models. The mapping models use high resolution four band imagery, LiDAR, and a suite of ancillary data sources to consistently map aquatic resources throughout the San Diego region of interest.

California Aquatic Resource Inventory (CARI) version 3.0 GIS Data

The California Aquatic Resources Inventory (CARI) is a Geographic Information System (GIS) dataset of wetlands, streams, and riparian areas consisting of polygon and line features that are standardized to a common wetland classification system.  This statewide dataset is hosted online through http://www.EcoAtlas.org, a web application specifically designed to provide wetland information, at variable landscape scales, to environmental scientists, managers and planners in support of the State’s Wetland and Riparian Area Protection Policy

State of the Estuary Report

The State of the Estuary Report evaluates the status and trends of a suite of indicators selected to represent ecosystem health in the San Francisco Bay and Sacramento-San Joaquin River Delta (the Estuary). 

Baylands Habitat Map 2020 GIS Data


The Baylands Habitat Map 2020 represents the condition of the San Francisco Bay Baylands in the year 2020. It was published in April 2024. It was developed to meet the needs of the San Francisco Estuary Wetlands Regional Monitoring Program's (WRMP) by mapping habitat types for the purpose of monitoring regional change over time using primarily remote sensing data.
 

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