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Northern Rockies Ecological Conservation: Leveraging Earth Observations to Monitor and Predict Populations of Federally Threatened Whitebark Pine (Pinus albicaulis) across the Intermountain WestWhitebark pine (WBP; Pinus albicaulis) is an ecologically important species in North America. As a federally listed threatened species, an understanding of WBP habitat, distribution, and health is important for the natural resource managers of the National Park Service, United States Forest Service, Bureau of Land Management, Fish and Wildlife Service, and non-profit organizations such as the Whitebark Pine Ecosystem Foundation. Previous attempts to develop models of WBP habitat suitability and distribution lack confidence in their validity and integrity for these organizations. The updated models of habitat suitability and distribution developed by this study would provide managers with a capability to be employed in the conservation and future research direction for WBP. Thus, we developed a habitat suitability model of WBP at a high spatial resolution (Landsat 9 Operational Land Image-2, National Land Cover Database, NASA Shuttle Radar Topography Mission; 30m pixels) using a generalized logistic regression with an area under the curve value of 0.754. We extracted spectral reflectance signatures from overlapped ground sample points and Sentinel-2 Multispectral Instrument. The spectral signature analysis indicates WBP is separable from other tree species. We also utilized a visual validation approach and random forest (RF) modeling to separate WBP from limber pine. Through visual validation the RF classifier successfully identified 8out of 10 WBP trees gathered through ground truth points. Additionally, we achieved an overall accuracy of 91%in our confusion matrix for the distribution model using a dependent validation approach. The derived products from this study allow project partners to assess current suitable habitat and apparent health status in areas of identified WBP occurrence, providing data to aid future research regarding WBP health.
Document ID
20240010394
Acquisition Source
Langley Research Center
Document Type
Other - DEVELOP Summer 2024 Technical Report
Authors
Hannah Rogers
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Dustin Corbridge
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
A H M Mainul Islam
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Joshua Daniel Carrell
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
August 9, 2024
Publication Date
August 9, 2024
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80LARC23FA024
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
Keywords
Sentinel-2
Landsat 9 Operational Land Imager (OLI-2)
Spectral Signatures
Rocky Mountains
Habitat Suitability
Whitebark Pine
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