Dataset
Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands
University of Idaho
12/21/2022
Appears in Data Repository
The data incorporate the geospatial information associated with the project, including 10 different wildfire sites in south-western Idaho, USA burnt between 1996-2015 (Welty and Jeffries 2020). Each wildfire site is approximately 2ha in area, located at the intersection of the wildfire line, spanning the burnt and unburnt parts of the landscape. The data includes four parts: (i) wildfire lines within each site digitized using GoogleEarth historic imagery; (ii) the locations of 723 points for 25 m2 plot centroids, randomly distributed within each site; (iii) individual plant geolocations for >23,000 observations mapped on the landscape with ~3 cm accuracy, including plant functional group, species, and size category; and UAS raster products including digital terrain models (DTM) and canopy height models (CHM).
Files and links (3)
TextCC BY V4.0, Open Access
READMECC BY V4.0, Open Access
DataCC BY V4.0, Open
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Details
- Title
- Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands
- Creators
- Andrii ZaiatsT. Caughlin
- Contributors
- Andrew Wright Child (Data Curator) - University of Idaho, Research Computing and Data Services
- Publisher
- University of Idaho
- Description spatial
- southwest Idaho USA
- Description other
- Recommended Citation: Zaiats A and Caughlin TT. 2023 Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands [dataset]. University of Idaho. https://doi.org/10.7923/96mc-a063 | Contact: Trevor Caughlin (trevorcaughlin@boisestate.edu)
- Grants
- 21-1-01-43, Joint Fire Science Program (United States, Boise) - JFSP
- Identifiers
- 996765633201851
- Academic Unit
- Research Computing and Data Services; Idaho Experimental Partnership to Stimulate Competitive Research
- Language
- English
- Resource Type
- Dataset