DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado

Abstract

Time-lapse imagery was collected using an automated RGB camera mounted on a pole at the base of the northeast-facing hillslope at the Lower Montane site in the East River Watershed, Colorado. The imagery was intended to support a better understanding of plant dynamics and their controls during the growing season. The dataset includes RGB images archived in four zip files (containing imagery in JPEG format), corresponding to photos taken from the hillslope and the adjacent floodplain during 2017 and 2018. A fifth zip file contains a few AVI movies that compare imagery between the two years. The AVI files can be read with most media players applications. The archive contains a total of five *.zip files and three csv metadata files (flmd.csv, dd.csv, and locations.csv).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.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > ATMOSPHERE > WEATHER EVENTS; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > BIOSPHERE > VEGETATION > PLANT PHENOLOGY; EARTH SCIENCE > CLIMATE INDICATORS > CRYOSPHERIC INDICATORS > SNOW MELT; EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Location Metadata Reporting Format
OSTI Identifier:
2568332
DOI:
https://doi.org/10.15485/2568332

Citation Formats

Dafflon, Baptiste, and Peterson, John. Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado. United States: N. p., 2024. Web. doi:10.15485/2568332.
Dafflon, Baptiste, & Peterson, John. Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado. United States. doi:https://doi.org/10.15485/2568332
Dafflon, Baptiste, and Peterson, John. 2024. "Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado". United States. doi:https://doi.org/10.15485/2568332. https://www.osti.gov/servlets/purl/2568332. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2568332,
title = {Time-lapse imagery in 2017 and 2018 at the Lower Montane site in the East River Watershed, Colorado},
author = {Dafflon, Baptiste and Peterson, John},
abstractNote = {Time-lapse imagery was collected using an automated RGB camera mounted on a pole at the base of the northeast-facing hillslope at the Lower Montane site in the East River Watershed, Colorado. The imagery was intended to support a better understanding of plant dynamics and their controls during the growing season. The dataset includes RGB images archived in four zip files (containing imagery in JPEG format), corresponding to photos taken from the hillslope and the adjacent floodplain during 2017 and 2018. A fifth zip file contains a few AVI movies that compare imagery between the two years. The AVI files can be read with most media players applications. The archive contains a total of five *.zip files and three csv metadata files (flmd.csv, dd.csv, and locations.csv).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 = {10.15485/2568332},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}