NCALM Seed. PI: Zachery Lifton, Georgia Institute of Technology. The survey area consisted of a polygon located 15 km northeast of Bishop, California. The polygon is approximately 47 square kilometers. The survey took place on July 04, 2012. Data were collected to investigate new late Pleistocene slip rates on the White Mountain fault based on lidar data and geochronology.

NCALM Seed. PI: Alex Koch, University of Utah The requested survey area consisted of two polygons located east of Bryce, UT. The polygons enclose approximately 39 km2 (15 mi2). The survey will support a study on coupling of a high resolution base DEM and ultra-high resolution terrestrial DOMs to inform correlation of fluvial strata in the Straight Cliffs Formation, South-Central, Utah.

NCALM Seed. PI: Justin Huntington, Desert Research Institute, Reno, NV. The survey area is a 48 square kilometer irregular polygon in the Sierra Nevada Mountains, California.

This is an NCALM Seed grant (PI Courtney Sprain, University of California, Berkeley) collected for the purpose of mapping the coal beds of northeastern Montana. The survey area consists of a rectangle located 20 km NNW of Jordan, MT and 17 km south of the Fort Peck Reservoir.

This dataset was collected as an NCALM Seed grant for PI Katherine Lowe, University of Michigan, for the purpose of studying the effects of topography on peak ground acceleration. The requested survey area consisted of a polygon located 70 km northwest of Los Angeles, CA. The polygon encloses approximately 45.13 square km.

NCALM Seed: PIs: Maureen Mason Berlin and Dylan Ward, University of Colorado, Boulder. The survey areas consist of two polygons covering portions of the Roan Plateau, Colorado. One polygon has an area of 72 square kilometers and is north of Grand Junction, CO. The other polygon is located north of Parachute, CO and has an area of 61 square kilometers.

PI: David Pollard, Stanford University. The survey area is a 54 square kilometer rectangle near the town of Mexican Hat, Utah. This area was flown on February 24, 2005 and covers the Raplee Ridge anticline. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.

NCALM Seeds. PIs: Nicholas Legg, Oregon State University and Scott Anderson, University of Colorado, Boulder. The requested survey area consisted of two separate polygons within the boundary of Mount Rainier National Park in Washington on the southwestern flank of the volcano. Their close proximity enabled the two surveys to be flown most efficiently as a single polygon. The eastern polygon (Legg) covers the Kautz Creek watershed and was collected to investigate landscape response to debris flows in order to implicate hazards in Mt. Rainier National Park. The western polygon (Anderson) covers the Tahoma Creek watershed and was collected to assess climatically-driven aggradation in a mountain stream. The total area for the combined survey including the area between the requested polygons and the additional coverage in the northwest corner is approximately 123 square kilometers. The survey required 4 flights which took place from August 28, 2012 - September 1, 2012.

NCALM Seed. PI: Scott McCoy, University of Colorado, Boulder. The survey area consisted of a 55 square kilometer polygon located 125 kilometers west of Colorado Springs, southwest of Buena Vista in Colorado. Data were collected as a multi-scale natural experiment to investigate debris flow mechanics and landscape evolution.

This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 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 were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.