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Abstract
High-resolution LiDAR survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the http://nsf.gov/' target='_blank National Science Foundation (NSF), https://www.nps.gov/vall/' target='_blank Valles Caldera National Preserve (VCNP), http://www.nps.gov/band/index.htm' target='_blank Bandelier National Monument/National Park Service (BNM/NPS) and http://www.usgs.gov/' target='_blank United States Geological Survey (USGS) and performed by the http://www.ncalm.cive.uh.edu ' target='_blank National Center for Airborne Laser Mapping (NCALM) during a snow-off season (from June 29 to July 8, 2010). The dataset contains point cloud tiles in LAS format with the average point density of 9.68 p/m2, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on LiDAR survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.
Dataset DOI: http://dx.doi.org/10.5069/G9RB72JV
Subject Keywords
Coverage
Spatial
Temporal
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Content
ReadMe.md
CJCZO -- LiDAR -- Snow-off -- Jemez River Basin -- (2010)
OVERVIEW
Description/Abstract
High-resolution LiDAR survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the http://nsf.gov/' target='_blank National Science Foundation (NSF), https://www.nps.gov/vall/' target='_blank Valles Caldera National Preserve (VCNP), http://www.nps.gov/band/index.htm' target='_blank Bandelier National Monument/National Park Service (BNM/NPS) and http://www.usgs.gov/' target='_blank United States Geological Survey (USGS) and performed by the http://www.ncalm.cive.uh.edu ' target='_blank National Center for Airborne Laser Mapping (NCALM) during a snow-off season (from June 29 to July 8, 2010). The dataset contains point cloud tiles in LAS format with the average point density of 9.68 p/m2, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on LiDAR survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.
Dataset DOI
http://dx.doi.org/10.5069/G9RB72JV
Creator/Author
Guo, Qinghua|Pelletier, Jon|Parmenter, Robert|Allen, Craig|Judy, Barbara|Durcik, Matej
CZOs
Catalina-Jemez
Contact
Jon D. Pelletier, Department of Geosciences, University of Arizona, 1040 E. Fourth St., Tucson, AZ 85721, jdpellet@email.arizona.edu
Subtitle
Jemez River Basin Snow-off LiDAR derived DEM
SUBJECTS
Disciplines
GIS / Remote Sensing
Topics
LiDAR
Subtopic
Snow-off
Keywords
DEM|Digital Elevation Model|DSM|Digital Surface Model|LiDAR|Terrain|Surface|Critical Zone|Valles Caldera|Frijoles Canyon|Jemez River|New Mexico
Variables
Digital Elevation Model|Digital Surface Model|Shaded Relief|Classified Point Cloud
Variables ODM2
Lidar point cloud|Digital elevation model|Hillshade
TEMPORAL
Date Start
2010-06-29
Date End
2010-07-08
SPATIAL
Field Areas
Jemez River Basin
Location
Jemez River Basin
North latitude
36.0191
South latitude
35.7325
West longitude
-106.6849
East longitude
-106.2278
REFERENCE
Citation
LiDAR data acquisition and processing were completed by the National Center for Airborne Laser Mapping (NCALM), funded by the National Science Foundation Award EAR-0922307, and coordinated by Qinghua Guo for the Jemez River Basin and Santa Catalina Mountains Critical Zone Observatory funded by the National Science Foundation Award EAR-0724958.
Publications using this data
Harpold, A.A. and T.S. White (2013). AGI LiDAR Handout. AGI 2013 handout
Harpold, A.A., Rajagopal, S., Heidbuechel, I., Stielstra, C., Jardine, A.B., Brooks, P.D. (2010). Trends in Snowpack Depths and the Timing of Snowmelt in the River Basins of the Intermountain West . AGU Fall Meeting Abstract H31I-08.
Harpold, A.A., Q. Guo, N. Molotch, P. D. Brooks, R. Bales, J.C. Fernandez-Diaz, K.N. Musselman, and T.L. Swetnam, P. Kirchner, M. Meadows, J. Flanagan, R. Lucas (2014). LiDAR-derived snowpack data sets from mixed conifer forests across the Western United States. Water Resources Research 50(3): 2749-2755 http://dx.doi.org/10.1002/2013WR013935
Harpold A.A., Brooks P.D., Rajogopal S., Heidebuchel I., Jardine A., and Stielstra C. (2012). Changes in snowpack accumulation and ablation in the intermountain west. Water Resources Research 48: W11501 http://dx.doi.org/10.1029/2012WR011949
Swetnam T.L. and Falk D.A. (2014). Application of Metabolic Scaling Theory to reduce error in local maxima tree segmentation from aerial LiDAR. Forest Ecology and Management 323: 158–167 http://dx.doi.org/10.1016/j.foreco.2014.03.016
CZO ID
2613
Award Grant Numbers
National Science Foundation - EAR-0922307
National Science Foundation - EAR-0724958
Additional Metadata
Name | Value |
---|---|
czos | Catalina-Jemez |
czo_id | 2613 |
citation | LiDAR data acquisition and processing were completed by the National Center for Airborne Laser Mapping (NCALM), funded by the National Science Foundation Award EAR-0922307, and coordinated by Qinghua Guo for the Jemez River Basin and Santa Catalina Mountains Critical Zone Observatory funded by the National Science Foundation Award EAR-0724958. |
keywords | DEM, Digital Elevation Model, DSM, Digital Surface Model, LiDAR, Terrain, Surface, Critical Zone, Valles Caldera, Frijoles Canyon, Jemez River, New Mexico |
subtitle | Jemez River Basin Snow-off LiDAR derived DEM |
variables | Digital Elevation Model, Digital Surface Model, Shaded Relief, Classified Point Cloud |
disciplines | GIS / Remote Sensing |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
National Science Foundation | EAR-0922307 | |
National Science Foundation | EAR-0724958 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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