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Hubbard Brook Experimental Forest: 1 meter LiDAR-derived and Hydro-enforced Digital Elevation Models, 2012

General Information
Data Package:
Local Identifier:knb-lter-hbr.211.6
Title:Hubbard Brook Experimental Forest: 1 meter LiDAR-derived and Hydro-enforced Digital Elevation Models, 2012
Alternate Identifier:DOI PLACE HOLDER
Abstract:

This data package contains a 1 m LiDAR-derived digital elevation model (DEM) and a 1 m hydro-enforced DEM across Hubbard Brook EF. The LiDAR was collected during leaf-off and snow-free conditions by Photo Science, Inc. in April 2012 for the White Mountain National Forest (WMNF).

These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

Publication Date:2022-01-22
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2012-04-01
End:
2018-01-01

People and Organizations
Contact:Hubbard Brook Ecosystem Study [  email ]
Creator:Fraser, Olivia L (USDA Forest Service, Northern Research Station)
Creator:McGuire, Kevin J (Virginia Tech)
Creator:Bailey, Scott W (USDA Forest Service, Northern Research Station)

Data Entities
Other Name:
dem1m
Description:
Hubbard Brook Experimental Forest: 1 meter LiDAR-derived Digital Elevation Model (DEM)
Other Name:
hydem1mlpns
Description:
Hubbard Brook Experimental Forest: 1 meter LiDAR-derived, Filtered Hydro-enforced Digital Elevation Model (DEM)
Other Name:
hydem1m
Description:
1 meter LiDAR-derived Hydro-enforced Digital Elevation Model (DEM)
Detailed Metadata

Data Entities

Non-Categorized Data Resource

Name:dem1m
Entity Type:unknown
Description:Hubbard Brook Experimental Forest: 1 meter LiDAR-derived Digital Elevation Model (DEM)
Physical Structure Description:
Object Name:dem1m.tif
Size:207458254 bytes
Authentication:39ccb56f28ec45cc7d4b3637deb50d1b Calculated By MD5
Externally Defined Format:
Format Name:image/tiff
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/211/6/78ac875c42f4fde8bcccc7ac81812f22

Non-Categorized Data Resource

Name:hydem1mlpns
Entity Type:unknown
Description:Hubbard Brook Experimental Forest: 1 meter LiDAR-derived, Filtered Hydro-enforced Digital Elevation Model (DEM)
Physical Structure Description:
Object Name:hydem1mlpns.tif
Size:240048422 bytes
Authentication:44a66ec962a3bea6f43245ea1fbd81c9 Calculated By MD5
Externally Defined Format:
Format Name:image/tiff
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/211/6/6a86dae0381906a86ec617385f11c91f

Non-Categorized Data Resource

Name:hydem1m
Entity Type:unknown
Description:1 meter LiDAR-derived Hydro-enforced Digital Elevation Model (DEM)
Physical Structure Description:
Object Name:hydem1m.tif
Size:207354966 bytes
Authentication:62cb53b2c35d0ea673cfa0c599cae660 Calculated By MD5
Externally Defined Format:
Format Name:image/tiff
Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/211/6/3dc1a099bb909739aabee65344497b2a

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularyecosystems, forests, watersheds, digital elevation model, LiDAR, topography
HBES VocabularyHBR, Hubbard Brook LTER, Hubbard Brook Experimental Forest, Hubbard Brook Ecosystem Study, HBES, HBEF, New Hampshire, NH, White Mountain National Forest
ISO 19115 Topic Categoryelevation
National Research & Development TaxonomyEcology, Ecosystems, & Environment

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Description

This data package contains a 1 m LiDAR-derived digital elevation model (DEM), a 1 m hydro-enforced DEM, and a filtered 1 m hydro-enforced DEM covering the Hubbard Brook Experimental Forest, within the White Mountain National Forest (WMNF) in central New Hampshire, USA.

The 1 m raster bare earth DEM (dem1m.tif) was interpolated from returns classified as terrain points by Photo Science, Inc using automatic classification methods available in TerraScan software. The LiDAR was collected during leaf-off and snow-free conditions by Photo Science, Inc. in April 2012 under contract to the WMNF using an Optech GEMINI Airborne Laser Terrain Mapper (ALTM) at 1,158 meters AGL with a 30% overlap. The scan frequency was 49.3 Hz and a total scan angle of 27 degrees (+13.5 and -13.5 degrees from NADIR) resulting in a resolution of 0.548 per meter across and along track for average point spacing of 3 points per square meter.

The 1 m hydro-enforced DEM (hydem1m.tif) was created by removing raised topography across road widths at bridge and culvert locations. Bridge and culvert locations were collected with a Trimble GPS unit equipped with a Trimble Hurricane Antenna. Continuously Operating Reference Station (CORS) data from the National Geodetic Survey and Trimble Pathfinder software were used to obtain approximately 1-2 m horizontal precision after differential corrections.

After removing raised topography, the DEM was treated with a simple low-pass smoothing filter using a mean filtering technique. Mean low-pass filtering computes the average elevation value in a 3 × 3 cell neighborhood moving window and applies that value to the cell at the neighborhood center. Finally, we applied a sink-filling algorithm developed by (Wang and Liu, 2006) to the filtered DEM (hydem1mlpns.tif), which is common in hydrologic applications that require the derivation of flow direction and cell accumulation grids (Gillin et al., 2015). All digital terrain analyses were conducted using System for Automated Geoscientific Analyses (SAGA, version 2.1.0) and ArcGIS© (ArcMap, version 10.5) software.

Gillin, C.P., S.W. Bailey, K.J. McGuire, and S.P. Prisley. 2015. Evaluation of Lidar-derived DEMs through Terrain Analysis and Field Comparison. doi: info:doi/10.14358/PERS.81.5.387.

Wang, L., and H. Liu. 2006. An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling. Int. J. Geogr. Inf. Sci. 20(2): 193–213. doi: 10.1080/13658810500433453.

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@environmentaldatainitiative.org
Web Address:
https://environmentaldatainitiative.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Olivia L Fraser
Organization:USDA Forest Service, Northern Research Station
Id:https://orcid.org/0000-0002-0088-1851
Individual: Kevin J McGuire
Organization:Virginia Tech
Email Address:
kevin.mcguire@vt.edu
Id:https://orcid.org/0000-0001-5751-3956
Individual: Scott W Bailey
Organization:USDA Forest Service, Northern Research Station
Id:https://orcid.org/0000-0002-9160-156X
Contacts:
Organization:Hubbard Brook Ecosystem Study
Email Address:
hbr-im@lternet.edu

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2012-04-01
End:
2018-01-01
Geographic Region:
Description:Hubbard Brook Experimental Forest
Bounding Coordinates:
Northern:  43.959Southern:  43.914
Western:  -71.8062Eastern:  -71.7022

Project

Parent Project Information:

Title:NA
Personnel:
Individual: Scott W Bailey
Organization:USDA Forest Service, Northern Research Station
Id:https://orcid.org/0000-0002-9160-156X
Role:Principal Investigator
Funding: USDA Forest Service, Northern Research Station NA
Related Project:
Title:Graduate Fellowship (2017)
Personnel:
Individual: Olivia L Fraser
Organization:USDA Forest Service, Northern Research Station
Id:https://orcid.org/0000-0002-0088-1851
Role:Principal Investigator
Funding: NH Spacegrant Graduate Consortium NA

Maintenance

Maintenance:
Description:complete
Frequency:
Other Metadata

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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