This lidar dataset was collected as part of an NCALM Seed grant for Colleen Murphy at the University of California, Santa Cruz. This project was designed to understand the alteration of groundwater flow due to slow landslide failures. The survey area covers approximately 38 km2 east of Milpitas, CA.

This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Riegl VZ400 Terrestrial Laser Scanner and georeferenced using a Leica Viva GS15 survey grade GPS. The data are delivered as georeferenced (NAD83 UTM zone 10N ellipsoid) classified point clouds, 5 cm resolution digital elevation models, and a text file of surveyed GPS control points. The included files are: LH2017_Jan.laz LH2016_Jan.laz LH2017_5cm_DEM_be_tin.tif LH2017_5cm_DEM_bebldg_tin.tif LH2017_5cm_DEM_be_idp.tif LH2016_5cm_DEM_be_tin.tif LH2016_5cm_DEM_bebldg_tin.tif LH2016_5cm_DEM_be_idp.tif LH_GPS_control_points_NAD83_UTM_z10N_ell.txt

This dataset, located within the San Gabriel Mountain, CA was collected as an NCALM Seed grant for Christopher Gentile, University of California Riverside to investigate spatio-temporal distribution and legacy of large landslides in the San Gabriel Mountains, California. The requested survey area totaled approximately 40 km2 while the area actually surveyed totaled approximately 71.6 km2; coverage by the raster for the region provided below corresponds to the requested area while the point cloud dataset coverage corresponds to the surveyed area.

The winter rainy season of 2016-2017 brought abundant rainfall to the state of California, including the San Francisco Bay region. Thousands of shallow landslides were triggered as a result of saturated soils and intense rainfall from strong winter storms in January and February 2017. The highest concentration of landslides from these storms occurred in the eastern part of the bay region, where landslides in the hills east of the Cities of Richmond, Berkeley, Oakland, Hayward, and Fremont, and elsewhere in the region, damaged homes, displaced a major electrical transmission-line tower, and blocked several heavily traveled state highway routes. The data presented here support our published map titled, "Landslides Triggered by the 2016-2017 Storm Season, Eastern San Francisco Bay Region, California" where we mapped a total of 8,928 landslides throughout the study area. The mapping encompasses a total area of approximately 1,050 square kilometers (km²) bounded by the Carquinez Strait and San Francisco Bay to the north and west, respectively, to the Interstate Highway 680 corridor to the south and east. Using high-resolution imagery, we mapped individual landslides as polygons. The greatest calculated landslide concentration (measured as the total number of landslides per unit area) exceeded 80 landslides per 0.25 km2 in the hills east of the City of Berkeley.

This data release contains (1) geotechnical reports describing colluvium strength and grain size distribution, (2) hydrological monitoring data (rainfall and soil volumetric water content), and (3) shapefiles of mapped landslides from 1996 and 2021 that occurred in the Columbia River Gorge, Oregon. The geotechnical reports describe test results from a sieve and hydrometer analysis (ASTM D422) to characterize the grain size distribution and from consolidated drained direct shear tests (ASTM D3080) to characterize soil shear strength. Hydrological data includes a time history of rainfall and volumetric water content from a monitoring station in the Columbia River Gorge, spanning 10/28/2022 to 2/13/2023. The mapped landslide shapefiles represent shallow landslide source areas, assumed to have failed during storms in 1996 and 2021.

This 2018 airborne lidar dataset was collected by NCALM for the NSF-funded project, "Topographic response to the transition from snowmelt- to rainfall- triggered extremes". This study uses lidar data to characterize hillslope and river network properties to understand how rainstorm and snowmelt runoff drive large floods, erosion, and the long-term evolution of landscapes. The survey area is located northwest of Colorado Springs, CO and covers approximately 557 km2.

Landscape change in Tuolumne Meadows, Yosemite National Park, California, was characterized using data derived from four lidar surveys: one airborne survey in 2006 and three terrestrial surveys in 2016, 2017, and 2018. These surveys were used to generate a better quantitative understanding of changes associated with fluvial processes along the reach of the Tuolumne River where it crosses Tuolumne Meadows. The dataset consist of five archive (*.zip) files. These are: raster_data_geotiff.zip tabular_data_csv.zip vector_data_extractionareas_stable_areas_streambanks.zip lidar_pointcloud_data_laz.zip photo_data_jpg.zip Metadata for all files is contained within each .zip archive