Multi-Species Inference of Exotic Annual and Native Perennial Grasses in Rangelands of the Western United States Using Harmonized Landsat and Sentinel-2 Data

Multi-Species Inference of Exotic Annual and Native Perennial Grasses in Rangelands of the Western United States Using Harmonized Landsat and Sentinel-2 Data

The invasion of exotic annual grass (EAG), e.g., cheatgrass (<i>Bromus tectorum</i>) and medusahead (<i>Taeniatherum caput-medusae</i>), into rangeland ecosystems of the western United States is a broad-scale problem that affects wildlife habitats, increases wildfire frequenc...

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Bibliographic Details
Main Authors: Devendra Dahal, Neal J. Pastick, Stephen P. Boyte, Sujan Parajuli, Michael J. Oimoen, Logan J. Megard
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
exotic annual grasses
native perennial grass
Landsat 8
Sentinel-2
deep learning
machine learning
Online Access:https://www.mdpi.com/2072-4292/14/4/807

Internet

https://www.mdpi.com/2072-4292/14/4/807

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