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Bandelier Ecological Conservation: Mapping Invasive Species Along the Rio Grande Corridor in Bandelier National MonumentThe Southwest U.S. has experienced a growth of invasive riparian species, specifically Elaeagnus angustifolia (Russian olive), Tamarix ramosissima (saltcedar), and Ulmus pumila (Siberian elm), which alter local soil chemistry and outcompete native species. Locating these exotic species is critical for ecological conservation; however, field identification can be resource intensive. NASA DEVELOP partnered with the National Park Service (NPS) at Bandelier National Monument (BAND) to assess the feasibility of using Earth observation data to map invasive species along the Rio Grande corridor of the park. The team used Landsat 8 OLI, Sentinel-2 MSI, and ISS DESIS imagery to compute principal components based on spectral bands, vegetation indices, and terrain indices. Using the first five principal components, the team created classification maps using both a k-means classification algorithm and a random forest algorithm to differentiate between native and non-native species. The team derived maps for the three invasive riparian species in the region for the last five years. The team found that invasive species covered 33% of the park's river corridor in 2023, and the invasive species extent has increased by 5.7% from 2019 to 2023. The methods will serve as a guide for aiding historic and present invasive species identification in riparian regions, and the NPS staff at BAND will use the results to inform local mitigation practices and advocate for invasive species removal.
Document ID
20230012762
Acquisition Source
Langley Research Center
Document Type
Other - NASA DEVELOP Summer 2023 technical report
Authors
Evan Barrett
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Megan Rich
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Nusrat Zahan Jarin
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Chloe Johnson
(System Science Applications (United States) Los Angeles, California, United States)
Date Acquired
August 30, 2023
Publication Date
September 20, 2023
Subject Category
Earth Resources and Remote Sensing
Funding Number(s)
WBS: 970315.02.02.01.08
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Public Use Permitted.
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