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Welcome to the Deerfield watershed Stream Crossings Explorer
This tool helps you locate road-stream crossings based on your interests.
To begin, select the crossing, stream and catchment (sub-watershed) attributes that you would like to work with.
Click on a map feature to show attributes
| Attribute | Value |
|---|
You added charts from multiple layers, would you like to turn on the spatial join linking them?
Spatial joins enable the filtering of features in one layer based on attribute values of geographically overlapping features of another layer.
The Stream Crossings Explorer (SCE) tool is a data visualization and decision support tool that was developed to assist with locating and prioritizing stream crossings that meet user-defined criteria. SCE conveys information related to aquatic connectivity and ecological aspects of river systems as well as risk of failure of road-stream crossings and associated disruption of emergency services. This tool was designed for state and municipal agencies, local decision-makers, regional planners, conservation organizations, and natural resource managers. It is being piloted in the Deerfield Watershed.
Data for this tool comes from a variety of sources and was developed in partnership with other efforts, including CAPS (Conservation Assessment and Prioritization System) and the North Atlantic Aquatic Connectivity Collaborative (NAACC). Thank you to all who provided data, expertise, and feedback for this tool.
University of Massachusetts, Amherst
Jason Coombs
Scott Jackson
Melissa Ocana
U.S. Geological Survey
Ben Letcher
Questions or comments should be directed to Jason Coombs at jcoombs@cns.umass.edu.
The Stream Crossings Explorer (SCE) tool presents users with the most recent data for crossings, streams, and catchments, and enables them to view, interact, filter, and download that data through an intuitive map-based interface.
SCE is currently supported on the latest versions of all major web browsers. Google Chrome is highly recommended for the best user experience. SCE is not intended for use on mobile devices. Note that SCE is a memory-intensive application. Older computers may have difficulty rendering the interface resulting in sluggish performance. If you run into issues, we recommend closing all other programs and browser tabs to increase available memory.
In order to achieve feature filtering in a highly responsive way, SCE was developed as a client-side web application, which means all computations are performed within the user's web browser (as opposed to remotely on the web server). The application is comprised of two primary components:
Analytics Engine: The crossfilter.js library provides an extremely fast computational engine that can filter and aggregate large multi-variate datasets in near-real time and all within the user's web browser.
Visualization Platform: The d3.js library is a powerful toolkit for developing interactive visualizations such as charts and maps that can respond to user inputs such as clicking and dragging, and update with great speed and efficiency.
SCE was developed using the following software libraries:
Node.js: Web server runtime environment
Express: Web server framework and API
Leaflet: Interactive map framework
D3.js: Data visualization, mapping and interaction
Topojson.js: Geospatial data format
Crossfilter.js: Analytics engine
Queue.js: Asynchronous dataset and file retrieval
Bootstrap: Front-end framework and styling
ColorBrewer: Pre-defined color palettes
Development of SCE is currently ongoing and future updates will include updated datasets and greater geographic coverage. If you have any questions, encounter any errors, or are interested in applying SCE to your region, please contact Jason Coombs at jcoombs@cns.umass.edu.
v1.0.0 - 07-25-2017
Initial release
SCE combines data from a number of sources. The following tables list sources for each layer's attributes.
| Attribute | Source |
|---|---|
| Assessment Date | North Atlantic Aquatic Connectivity Collaborative (NAACC) |
| Average Affected EMS Delay | Dan Sheldon & Shlomo Zilberstein, UMass Amherst |
| Average EMS Delay | Dan Sheldon & Shlomo Zilberstein, UMass Amherst |
| Coldwater (16°C) Restoration Potential | Conservation Assessment and Prioritization System (CAPS) |
| Coldwater (18°C) Restoration Potential | Conservation Assessment and Prioritization System (CAPS) |
| Coldwater (20°C) Restoration Potential | Conservation Assessment and Prioritization System (CAPS) |
| Connectivity Loss | Conservation Assessment and Prioritization System (CAPS) |
| Connectivity Restoration Potential | Conservation Assessment and Prioritization System (CAPS) |
| Crossing Prioritization | Scott Jackson, University of Massachusetts Amherst |
| Crossing Type | North Atlantic Aquatic Connectivity Collaborative (NAACC) |
| Drainage Area | Jason Coombs, University of Massachusetts Amherst |
| Geomorphic Risk | Scott Jackson, University of Massachusetts Amherst |
| Hydraulic Risk | Scott Jackson, University of Massachusetts Amherst |
| Ecological Disruption | Scott Jackson, University of Massachusetts Amherst |
| Impassability Score | North Atlantic Aquatic Connectivity Collaborative (NAACC) |
| Maximum EMS Delay | Dan Sheldon & Shlomo Zilberstein, UMass Amherst |
| National Highway System | Massachusetts Department of Transportation (MassDOT) |
| Overall EMS Delay | Scott Jackson, University of Massachusetts Amherst |
| Overall Risk | Scott Jackson, University of Massachusetts Amherst |
| Q2 Discharge | Steve Mabee, University of Massachusetts Amherst |
| Road Jurisdiction | Massachusetts Department of Transportation (MassDOT) |
| Stream Length | Jason Coombs, University of Massachusetts Amherst |
| Stream Slope | Steve Mabee, University of Massachusetts Amherst |
| Structural Risk | Scott Jackson, University of Massachusetts Amherst |
| Stucture Count | Jason Coombs, University of Massachusetts Amherst |
| Transportation Vulnerability | Scott Jackson, University of Massachusetts Amherst |
| Unit Stream Power | Steve Mabee, University of Massachusetts Amherst |
| Variable | Source |
|---|---|
| Stream Order | Jason Coombs, University of Massachusetts Amherst |
| Stream Temperature (°C) | Spatial Hydro-Ecological Decision System (SHEDS) |
| Stream Temperature Resistance | Spatial Hydro-Ecological Decision System (SHEDS) |
| Trout Habitat Suitability | Spatial Hydro-Ecological Decision System (SHEDS) |
| Variable | Source |
|---|---|
| Agriculture (%) | National Land Cover Dataset (NLCD) 2011 |
| Catchment Slope (%) | National Land Cover Dataset (NLCD) 2011 |
| Elevation (M) | National Hydrography Dataset v2 (NHDPlusV2) |
| Forest Cover (%) | National Land Cover Dataset (NLCD) 2011 |
| Impervious Surface (%) | National Land Cover Dataset (NLCD) 2011 |
| Water Cover (%) | Fish & Wildlife Service (FWS) National Wetlands Inventory |
The following tables contain the shortened attribute name used as field headings in shapefile downloads, along with the attribute's definition.
| Attribute | Shapefile Name | Definition |
|---|
| Attribute | Shapefile Name | Definition |
|---|
| Attribute | Shapefile Name | Definition |
|---|
This project was funded by the Massachusetts Department of Transportation
and the Department of the Interior Hurricane Sandy Mitigation Fund.
Additional support was provided by the U.S. Geological Survey,
the U.S. Forest Service, and the University of Massachusetts, Amherst.