Next Article in Journal
Population Genetic Diversity of Quercus ilex subsp. ballota (Desf.) Samp. Reveals Divergence in Recent and Evolutionary Migration Rates in the Spanish Dehesas
Next Article in Special Issue
Assessing the Trade-Offs of SPOT7 Imagery for Monitoring Natural Forest Canopy Intactness
Previous Article in Journal
Designing Thinning Operations in 2nd Age Class Pine Stands—Economic and Environmental Implications
Previous Article in Special Issue
Detecting and Attributing Drivers of Forest Disturbance in the Colombian Andes Using Landsat Time-Series
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Forests 2018, 9(6), 336; https://doi.org/10.3390/f9060336

Mapping Progression and Severity of a Southern Colorado Spruce Beetle Outbreak Using Calibrated Image Composites

1
Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA
2
Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO 85023, USA
3
Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA
*
Author to whom correspondence should be addressed.
Received: 26 April 2018 / Revised: 22 May 2018 / Accepted: 4 June 2018 / Published: 7 June 2018
(This article belongs to the Special Issue Mapping Forest Health Using Moderate Resolution Satellites)
Full-Text   |   PDF [8095 KB, uploaded 7 June 2018]   |  

Abstract

An ongoing spruce beetle (Dendroctonus rufipennis Kirby.) epidemic in southern Colorado has resulted in the death of thousands of acres of forests primarily dominated by Engelmann spruce (Picea engelmannii Parry.). To evaluate the ecological and economic impacts of this massive mortality event, researchers and land managers need to efficiently track its progression, spread, and severity across large spatial extents. In this study, mortality severity (0–100% dead) was successfully mapped at the Landsat pixel scale (30 × 30 m) across a large (5000 km2), persistently cloud-covered study area using multi-sensor (Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI)) harmonized tasseled cap image composites as spectral predictors of gray stage spruce beetle mortality. Our maps display the distribution and severity of this landscape-scale mortality event in 2011 (R2 = 0.48, root mean squared error (RMSE) = 7.7) and 2015 (R2 = 0.55, RMSE = 11.6). Potential applications of this study include efficient landscape-scale forest health monitoring, targeted forest and timber management, and assessment of ecological impacts of bark beetle outbreaks. View Full-Text
Keywords: bark beetle; Landsat; forest health monitoring; remote sensing; harmonization; mortality severity; LandsatLinkr bark beetle; Landsat; forest health monitoring; remote sensing; harmonization; mortality severity; LandsatLinkr
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Woodward, B.D.; Evangelista, P.H.; Vorster, A.G. Mapping Progression and Severity of a Southern Colorado Spruce Beetle Outbreak Using Calibrated Image Composites. Forests 2018, 9, 336.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top