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Title: 2017 Puerto Rico G-LiHT Metadata

Abstract

This data package contains metadata for data acquired for sample transects across Puerto Rico using NASA Goddard's Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager in March 2017. Flights specifically targeted sites with coincident field data collection for NGEE-Tropics, existing forest inventory plots from the USDA-Forest Service Forest Inventory & Analysis (FIA) program and university collaborators, and other research installations (e.g., NEON).

Creator(s)/Author(s):
; ; ;
Publication Date:
Other Number(s):
NGT0070
Product Type:
Dataset
Research Org.:
Next-Generation Ecosystem Experiments Tropics; NASA
Sponsoring Org.:
DOE, NASA
Subject:
54 ENVIRONMENTAL SCIENCES
OSTI Identifier:
1582600
DOI:
10.15486/ngt/1582600

Citation Formats

Cook, Bruce, Morton, Doug, Martinuzzi, Sebastian, and Keller, Michael. 2017 Puerto Rico G-LiHT Metadata. United States: N. p., 2020. Web. doi:10.15486/ngt/1582600.
Cook, Bruce, Morton, Doug, Martinuzzi, Sebastian, & Keller, Michael. 2017 Puerto Rico G-LiHT Metadata. United States. doi:10.15486/ngt/1582600.
Cook, Bruce, Morton, Doug, Martinuzzi, Sebastian, and Keller, Michael. 2020. "2017 Puerto Rico G-LiHT Metadata". United States. doi:10.15486/ngt/1582600. https://www.osti.gov/servlets/purl/1582600. Pub date:Wed Jan 01 00:00:00 EST 2020
@article{osti_1582600,
title = {2017 Puerto Rico G-LiHT Metadata},
author = {Cook, Bruce and Morton, Doug and Martinuzzi, Sebastian and Keller, Michael},
abstractNote = {This data package contains metadata for data acquired for sample transects across Puerto Rico using NASA Goddard's Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager in March 2017. Flights specifically targeted sites with coincident field data collection for NGEE-Tropics, existing forest inventory plots from the USDA-Forest Service Forest Inventory & Analysis (FIA) program and university collaborators, and other research installations (e.g., NEON).},
doi = {10.15486/ngt/1582600},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}