Dead Forest Burning

Title: Dead Forests Burning

Group Members:

• Michael Cook
• Dominique Bachelet
• Anna Talucci

Description:

This is a web map of lodgepole pine forest in transition with an overview of outbreak severity, burn severity, and forest recovery for a section of the landscape in central interior British Columbia. Forests have experienced unprecedented mortality from the recent mountain pine beetle outbreak and subsequently burned during wildfire. Land managers have been concerned about dead forest conditions and the influence dead forests may have on fire behavior and forest resiliency. This project is an overview of a large dissertation project. The composition of this site serves as a final project for class: Geovisualization provided by Oregon State University.

Goal:

Technical summary:

• In this repository there is an image file with a sample of photos
• Aerial video footage might be available
• Some field data could potentially be integrated
• Remote sensing analysis from google earth engine platform (see file GEE_sample)
• Spatial data could include: fire perimeters, provincial park boundaries, biogeoclimatic zones, tree species (spatial data file only includes fire perimeters for now)

Interface Sketch:

Design Scheme

Layout

We used a story map layout

Color Scheme

We generated out color scheme using a photograph in coolors.co

Then used coolors.com.

Color Scheme

Data Source

• Beetle Outbreak Aerial Survey data from Data BC
• Landsat Data from the USGS processed in Google Earth Engine
• Photographs: from field data by Anna Talucci
• Favicon: a combination of fab fa-gripfire and fas fa-bug that were acquired from https://fontawesome.com/icons
• Tree Species data from the Vegetation Resource Inventory acquired from Data BC
• Fire perimeters and Provincial Parks Boundaries acquired from Data BC

Applied Libraries

We used a variety of existing libraries including style sheets and scripts

Style sheets:

<!--add required stylesheets-->
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.3.1/dist/leaflet.css"/>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.1.0/css/bootstrap.min.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<!--boostrap-->

<!--leaflet css-->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.3.1/leaflet.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/3.5.2/animate.min.css">
<link rel="stylesheet" href="https://fonts.googleapis.com/icon?family=Material+Icons">
<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.0.12/css/all.css">
<link rel="stylesheet" href="https://turban.github.io/Leaflet.Photo/examples/lib/cluster/MarkerCluster.css" />
<link rel="stylesheet" href="https://turban.github.io/Leaflet.Photo/Leaflet.Photo.css" />



<!--Fonts-->
<link href="https://fonts.googleapis.com/css?family=Source+Sans+Pro" rel="stylesheet">
<link rel="stylesheet" href="css/main.css" />
<link rel="stylesheet" type="text/css" href="css/storymap.2.4.css">

Scripts:

<!--Scripts-->
<!--add required libraries-->
<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.3.1/leaflet.js"></script>
<!--jquery-->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.0/umd/popper.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
<!--boostrap-->
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.1.0/js/bootstrap.min.js"></script>

<script src="js/leaflet.markercluster-src.js"></script>
<script src="https://turban.github.io/Leaflet.Photo/Leaflet.Photo.js"></script>


<!--leaflet.ajax for asynchronously adding geojson data-->
<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet-ajax/2.1.0/leaflet.ajax.min.js"></script>

<!--story map plugin-->
<script src="js/storymap.2.4.js"></script>

<script src="js/data.js"></script>

<script src="https://d3js.org/d3.v4.min.js"></script>

Credits

• Geographic Data: Fire Perimeters, Outbreak Severity, Provincial Parks acquired from [https://data.gov.bc.ca/](Data BC)
• Remote Sensing Data: Landsat Data from USGS and processed in [https://earthengine.google.com/](Google Earth Engine)
• Context: Peer reviewed research, field work, and analyses
• Photos: Theodore Temperli, Anna Talucci
• Favicon: a combination of fab fa-gripfire and fas fa-bug that were acquired from https://fontawesome.com/icons
• Graph data: Wulder et al. 2009
• Video: Adobe Spark Software used to produce Launch Page photo slide show

Acknowledgements

We would like to thank Dr. Bo Zhao for comments, assistance, and editorial advice.

References

[1] Coops, N. C., M. a. Wulder, and J. C. White. 2006. Integrating remotelysensed and ancillary data sources to characterize a mountain pine beetleinfestation. Remote Sensing of Environment 105:83–97.

[2] Frazier, R. J., N. C. Coops, M. A. Wulder, T. Hermosilla, and J. C. White.2018. Analyzing spatial and temporal variability in short-term rates ofpost-fire vegetation return from Landsat time series. Remote Sensing ofEnvironment 205:32–45.

[3] Kennedy, R. E., Z. Yang, W. B. Cohen, E. Pfaff, J. Braaten, and P. Nelson.2012. Spatial and temporal patterns of forest disturbance and regrowth withinthe area of the Northwest Forest Plan. Remote Sensing of Environment122:117–133.

[4] Key, C. H., and N. C. Benson. 2006. Landscape assessment (LA): Samplingand analysis methods. USDA Forest Service General Technical ReportRMS-GTR-164-CD:1–55.

[5] Kurz, W. a, Dymond, C. C., Stinson, G., Rampley, G. J., Neilson, E. T., Carroll, a L., … Safranyik, L. (2008). Mountain pine beetle and forest carbon feedback to climate change. Nature, 452(April), 987–990. https://doi.org/10.1038/nature06777

[6] Meigs, G. W., R. E. Kennedy, and W. B. Cohen. 2011. A Landsat time seriesapproach to characterize bark beetle and defoliator impacts on tree mortalityand surface fuels in conifer forests. Remote Sensing of Environment115:3707–3718.

[7] Pickell, P. D., T. Hermosilla, R. J. Frazier, N. C. Coops, and M. A.Wulder. 2016. Forest recovery trends derived from Landsat time series for NorthAmerican boreal forests. International Journal of Remote Sensing 37:138–149.

[8] Roy, D. P., V. Kovalskyy, H. K. Zhang, E. F. Vermote, L. Yan, S. S. Kumar,and A. Egorov. 2016. Characterization of Landsat-7 to Landsat-8 reflectivewavelength and normalized difference vegetation index continuity. RemoteSensing of Environment 185:57–70.

[9] White, J. C., M. A. Wulder, T. Hermosilla, N. C. Coops, and G. W. Hobart.2017. A nationwide annual characterization of 25 years of forestdisturbance and recovery for Canada using Landsat time series. Remote Sensingof Environment 194:303–321.

[10] Wulder, M. a., C. C. Dymond, J. C. White, D. G. Leckie, and A. L. Carroll.2006. Surveying mountain pine beetle damage of forests: A review of remotesensing opportunities. Forest Ecology and Management 221:27–41.

[11] Wulder, M. A., White, J. C., Grills, D., Nelson, T., & Coops, N. C. (2009). Aerial overview survey of the mountain pine beetle epidemic in British Columbia: Communication of impacts. BC Journal of Ecosystems and Management, 10(1), 45–58.