Low-cost UAS platforms to quantify and predict post-fire recovery in arid shrublands
收藏DataCite Commons2025-09-25 更新2024-07-13 收录
下载链接:
https://verso.uidaho.edu/esploro/outputs/dataset/Low-cost-UAS-platforms-to-quantify-and/996765633201851?institution=01ALLIANCE_UID
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资源简介:
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).
提供机构:
University of Idaho
创建时间:
2022-12-21



