An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis

for quantifying vegetative cover across landscapes have, until recently, been limited to ground-based surveys or remote sensing via satellites or aircraft, both of which can limit the spatial scale of resulting data. Unmanned Aircraft Systems (UAS) can efficiently collect high-resolution sub-decimet...

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Bibliographic Details
Published in:Journal of arid environments 2021-05, Vol.188, p.104383, Article 104383
Main Authors: Bankert, Andrew R., Strasser, Erin H., Burch, Cristy G., Correll, Maureen D.
Format: Article
Language:English
Subjects:
Automated image analysis
Grassland vegetation
Habitat quantification
Object-based image analysis
Unmanned aerial systems
Vegetation mapping
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Summary:for quantifying vegetative cover across landscapes have, until recently, been limited to ground-based surveys or remote sensing via satellites or aircraft, both of which can limit the spatial scale of resulting data. Unmanned Aircraft Systems (UAS) can efficiently collect high-resolution sub-decimeter imagery of landscapes; geographic, object-based image analysis (GEOBIA) of the collected imagery can then be used to estimate vegetation cover. To date, few researchers have utilized open-source programs for GEOBIA. We developed GEOBIA methods in the open-source Program R to analyze visible spectrum UAS imagery from four sites in the Chihuahuan Desert of North America. These desert grasslands are difficult to quantify due to the patchiness of ground cover at small scales (e.g.
ISSN:0140-1963
1095-922X
DOI:10.1016/j.jaridenv.2020.104383