CJCZO -- LiDAR -- Snow-on -- Jemez River Basin -- (2010)

OVERVIEW

Description/Abstract

High-resolution LiDAR survey covers an area of 280 km2 in the upper part of the Jemez River basin, New Mexico. The data collection was funded by the http://nsf.gov/' target='_blank National Science Foundation (NSF) and performed by the http://www.ncalm.cive.uh.edu ' target='_blank National Center for Airborne Laser Mapping (NCALM) during peak snowpack 2010 (March 27 – April 3, 2010). The dataset contains point cloud tiles in LAS format with the average point density of 8.97 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. These datasets, together with the snow-off LiDAR survey performed in Jun –July 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/G9W37T86

Creator/Author

Guo, Qinghua|Pelletier, Jon|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-on LiDAR Survey

SUBJECTS

Disciplines

GIS / Remote Sensing

Topics

LiDAR

Subtopic

Snow-on

Keywords

DEM|Digital Elevation Model|DSM|Digital Surface Model|LiDAR|Terrain|Surface|Critical Zone|Valles Caldera|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

2010-03-27

Date End

2010-04-03

SPATIAL

Field Areas

Jemez River Basin

Location

Jemez River Basin

North latitude

35.9339

South latitude

35.8095

West longitude

-106.6183

East longitude

-106.3836

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., 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., Biederman J.A., Condon K., Merino M., Korgaonkar Y., Nan T., Sloat L.L., Ross M. and Brooks P.D. (2014). Changes in snow accumulation and ablation following the Las Conchas Forest Fire, New Mexico, USA. Ecohydrology 7(2): 440–452 http://dx.doi.org/10.1002/eco.1363

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

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.

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

2612

Award Grant Numbers

National Science Foundation - EAR-0922307

National Science Foundation - EAR-0724958