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Title: Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado

Abstract

This package is part of the Watershed Function SFA Data Collection and contains remote sensing data and geophysical measurements acquired at the Pumphouse hillslope-floodplain site, in the East River, Colorado. The remote sensing dataset includes: a) a WorldView-2 (WV-2) pan-sharpened multi-spectral remote sensing image, and b) LiDAR derived products. The WV-2 image was acquired on September 24th, 2015, and it is composed of eight spectral bands (coastal, blue, green, yellow, red, red edge, NIR1, and NIR2) with a spatial resolution of 0.5 m, covering an area of 750x750 m. The LiDAR products are a digital surface model (DSM), representing the top-of-canopy elevation, and a digital terrain model (DTM), representing the bare-ground elevation, at the spatial resolution of 0.5 m. Such data are extracted from the LiDAR point-cloud dataset acquired over the entire watershed on August 2015 (http://dx.doi.org/10.21952/WTR/1412542). The geophysical dataset is composed of the electrical resistivity tomography (ERT) data acquired along a 158.75 m long transect, spanning the hillslope topographical gradient with 1.25 m electrode spacing. The dataset also includes soil water content measured with a TDR system. The package provides also polygons of different vegetation communities, which were used as reference data for mapping plant community distributions. The spatialmore » polygons are based on plant locations acquired during the field campaign of June-July 2017 using an RTK DGPS system. The reference dataset is composed by 11 vegetation classes, namely, deciduous forest, evergreen forest, riparian shrubland, sagebrush, shrubland, potentilla, frasera, lupine meadow, veratrum, bunchgrass meadow, and forb, as well as four non-vegetation classes, such as water-river, water-lake, man-made, bare area, and shadow. The vegetation classes are determined based on distinct spectral and/or structural signatures of dominant species. The package includes products derived by these datasets, such as: a) a plant height map, computed by subtracting the DTM from the DSM, and b) a plant community distribution map, obtained by using a data-fusion machine-learning-based framework that exploit the WV-2 image and plant height information.« less

Creator(s)/Author(s):
; ; ; ; ; ; ; ; ;
Publication Date:
DOE Contract Number:  
DEAC0205CH11231
Product Type:
Dataset
Research Org.:
Watershed Functionality Scientific Focus Area
Sponsoring Org.:
U.S. Department of Energy Office of Science Office of Biological and Environmental Research
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1490867
DOI:
10.21952/WTR/1490867

Citation Formats

Falco, Nicola, Wainwright, Haruko, Dafflon, Baptiste, Léger, Emmanuel, Peterson, John, Stelzer, Heidi, Wilmer, Chelsea, Rowland, Joel C, Williams, Kenneth H., and Hubbard, Susan S. Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado. United States: N. p., 2019. Web. doi:10.21952/WTR/1490867.
Falco, Nicola, Wainwright, Haruko, Dafflon, Baptiste, Léger, Emmanuel, Peterson, John, Stelzer, Heidi, Wilmer, Chelsea, Rowland, Joel C, Williams, Kenneth H., & Hubbard, Susan S. Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado. United States. doi:10.21952/WTR/1490867.
Falco, Nicola, Wainwright, Haruko, Dafflon, Baptiste, Léger, Emmanuel, Peterson, John, Stelzer, Heidi, Wilmer, Chelsea, Rowland, Joel C, Williams, Kenneth H., and Hubbard, Susan S. 2019. "Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado". United States. doi:10.21952/WTR/1490867. https://www.osti.gov/servlets/purl/1490867. Pub date:Tue Jan 01 00:00:00 EST 2019
@article{osti_1490867,
title = {Remote sensing and geophysical characterization of a floodplain-hillslope system in the East River watershed, Colorado},
author = {Falco, Nicola and Wainwright, Haruko and Dafflon, Baptiste and Léger, Emmanuel and Peterson, John and Stelzer, Heidi and Wilmer, Chelsea and Rowland, Joel C and Williams, Kenneth H. and Hubbard, Susan S.},
abstractNote = {This package is part of the Watershed Function SFA Data Collection and contains remote sensing data and geophysical measurements acquired at the Pumphouse hillslope-floodplain site, in the East River, Colorado. The remote sensing dataset includes: a) a WorldView-2 (WV-2) pan-sharpened multi-spectral remote sensing image, and b) LiDAR derived products. The WV-2 image was acquired on September 24th, 2015, and it is composed of eight spectral bands (coastal, blue, green, yellow, red, red edge, NIR1, and NIR2) with a spatial resolution of 0.5 m, covering an area of 750x750 m. The LiDAR products are a digital surface model (DSM), representing the top-of-canopy elevation, and a digital terrain model (DTM), representing the bare-ground elevation, at the spatial resolution of 0.5 m. Such data are extracted from the LiDAR point-cloud dataset acquired over the entire watershed on August 2015 (http://dx.doi.org/10.21952/WTR/1412542). The geophysical dataset is composed of the electrical resistivity tomography (ERT) data acquired along a 158.75 m long transect, spanning the hillslope topographical gradient with 1.25 m electrode spacing. The dataset also includes soil water content measured with a TDR system. The package provides also polygons of different vegetation communities, which were used as reference data for mapping plant community distributions. The spatial polygons are based on plant locations acquired during the field campaign of June-July 2017 using an RTK DGPS system. The reference dataset is composed by 11 vegetation classes, namely, deciduous forest, evergreen forest, riparian shrubland, sagebrush, shrubland, potentilla, frasera, lupine meadow, veratrum, bunchgrass meadow, and forb, as well as four non-vegetation classes, such as water-river, water-lake, man-made, bare area, and shadow. The vegetation classes are determined based on distinct spectral and/or structural signatures of dominant species. The package includes products derived by these datasets, such as: a) a plant height map, computed by subtracting the DTM from the DSM, and b) a plant community distribution map, obtained by using a data-fusion machine-learning-based framework that exploit the WV-2 image and plant height information.},
doi = {10.21952/WTR/1490867},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}