Semiarid Mixed Conifer Forest Ecohydrology Data from US-MtB Site, 2020-2021
by Mostafa Javadian / University of Arizona
Available on 1 platform
Sign in to view source links and access this dataset
Description
Data from the US-MtB eddy covariance site in a semiarid mixed conifer forest, collected between January 2020 and May 2021. The dataset includes flux tower measurements, tree sap flow, photochemical reflectance index (PRI), and unmanned aircraft system (UAS) imagery. It was created by Mostafa Javadian of the University of Arizona for a 2022 study published in the Journal of Geophysical Research: Biogeosciences.
Use Cases
Modeling canopy temperature regulation based on ecosystem structural traits mentioned in the description
Analyzing ecohydrologic dynamics using flux tower and sap flow data mentioned in the description
Studying vegetation stress and photochemical reflectance using the PRI time series mentioned in the description
Mapping forest structure and temperature profiles using UAS imagery mentioned in the description
Strengths
Data is associated with a peer-reviewed publication in the Journal of Geophysical Research: Biogeosciences
Includes multiple complementary data types (flux tower, sap flow, PRI, UAS) for a single site
Covers a time range from January 2020 to May 2021 for several data streams
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Last update date is unknown; freshness unverified
Provenance
Source
University of Arizona
Collection Method
Collected via eddy covariance flux tower, sap flow sensors, photochemical reflectance index measurements, and unmanned aircraft systems (UAS).
Time Range
January 2020 to May 2021 (primary time series); specific data from November 14, 2020.
Geography
US-MtB eddy covariance site, a semiarid mixed conifer forest.
License is listed as Open Access (green); specific terms should be verified from the source.