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Title: Geophysical survey associated with NEON AOP survey, East River, CO 2018

Abstract

The package contains data layers developed and used in Falco et al. 2024: “EcoImaging: Advanced Sensing to Investigate Plant and Abiotic Hierarchical Spatial Patterns in Mountainous Watersheds". The package is part of the DOE Watershed Function Science Focus Area (SFA) project and includes geophysical measurements collected at the East River, Colorado, in conjunction with the National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) survey conducted in June 2018. This dataset provide soil geophysical information and were used to investigate soil-plant relationships. The dataset consists of: - NEON_2018_EMI_survey.zip: the electromagnetic induction (EMI) survey as shape-file; - NEON_plot_TDR.csv: plot‑level data from Time‑Domain Reflectometry (TDR) measurements, providing: * volumetric water content (VWC) in percent (%); * soil temperature in degrees Celsius (°C); - file level metadata (flmd.csv) - data dictionary (dd.csv) file This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.

Authors:
ORCiD logo ; ; ; ; ; ;
  1. Lawrence Berkeley National Laboratory
Publication Date:
DOE Contract Number:  
AC02-05CH11231
Research Org.:
Watershed Function SFA
Sponsoring Org.:
ESS-DIVE; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
EARTH SCIENCE > AGRICULTURE > SOILS > SOIL TEMPERATURE; EARTH SCIENCE > LAND SURFACE > SOILS > ELECTRICAL CONDUCTIVITY; EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; Geophysical survey; NEON Campaign 2018; Soil electrical conductivity; Soil temperature; Time domain reflectometry
OSTI Identifier:
3013006
DOI:
https://doi.org/10.15485/3013006

Citation Formats

Falco, Nicola, Lamb, Jack, Chen, Jiancong, Tuvshintugs, Orgil, Balde, Abdoulaye, Dafflon, Baptiste, and M. Wainwright, Haruko. Geophysical survey associated with NEON AOP survey, East River, CO 2018. United States: N. p., 2025. Web. doi:10.15485/3013006.
Falco, Nicola, Lamb, Jack, Chen, Jiancong, Tuvshintugs, Orgil, Balde, Abdoulaye, Dafflon, Baptiste, & M. Wainwright, Haruko. Geophysical survey associated with NEON AOP survey, East River, CO 2018. United States. doi:https://doi.org/10.15485/3013006
Falco, Nicola, Lamb, Jack, Chen, Jiancong, Tuvshintugs, Orgil, Balde, Abdoulaye, Dafflon, Baptiste, and M. Wainwright, Haruko. 2025. "Geophysical survey associated with NEON AOP survey, East River, CO 2018". United States. doi:https://doi.org/10.15485/3013006. https://www.osti.gov/servlets/purl/3013006. Pub date:Wed Dec 31 19:00:00 EST 2025
@article{osti_3013006,
title = {Geophysical survey associated with NEON AOP survey, East River, CO 2018},
author = {Falco, Nicola and Lamb, Jack and Chen, Jiancong and Tuvshintugs, Orgil and Balde, Abdoulaye and Dafflon, Baptiste and M. Wainwright, Haruko},
abstractNote = {The package contains data layers developed and used in Falco et al. 2024: “EcoImaging: Advanced Sensing to Investigate Plant and Abiotic Hierarchical Spatial Patterns in Mountainous Watersheds". The package is part of the DOE Watershed Function Science Focus Area (SFA) project and includes geophysical measurements collected at the East River, Colorado, in conjunction with the National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) survey conducted in June 2018. This dataset provide soil geophysical information and were used to investigate soil-plant relationships. The dataset consists of: - NEON_2018_EMI_survey.zip: the electromagnetic induction (EMI) survey as shape-file; - NEON_plot_TDR.csv: plot‑level data from Time‑Domain Reflectometry (TDR) measurements, providing: * volumetric water content (VWC) in percent (%); * soil temperature in degrees Celsius (°C); - file level metadata (flmd.csv) - data dictionary (dd.csv) file This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.},
doi = {10.15485/3013006},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Dec 31 19:00:00 EST 2025},
month = {Wed Dec 31 19:00:00 EST 2025}
}