This lidar dataset was collected for William Krugh at California State University, Bakersfield as part of the Center for Climate and Natural Resource Solutions for Water-limited Regions project. This project is part of NSF's Center for Research Excellence in Science and Technology (CREST) program. Roughly 252 km2 of data were collected over the Kern River Canyon east of Bakersfield, CA.

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

This dataset represents the average of the relative nutrient loss rates due to water erosion for the three nutrients total nitrogen, total phosphorus and soil organic carbon. The dataset is masked to cropping and grazing lands. The units are percentage/year. Relative nutrient loss is calculated as the annual loss of nutrient from the top 5 cm of soil relative to the total stock of each nutrient in the full depth of the soil profile. Annual erosion rate data are from Teng et al. (2016) and soil nutrient data are from the Soil and Landscape Grid of Australia. For a full description of the methods used to generate this datset see McKenzie et al. (2017).To present the average relative nutrient loss rate data in Figure 4.5 in McKenzie et al. (2017), the data were divided into seven classes using percentiles as the class breaks. That is, 20 % of the grid cells fell into each of the first four classes, 10 % of the grid cells into the fifth class, and 5 % into each of the sixth and seventh classes. The actual average nutrient loss rate values which represent those class breaks are listed below:0-20th percentile: < 0.003 %/y20-40th percentile: 0.003 - 0.005 %/y40-60th percentile: 0.005 - 0.009 %/y60-80th percentile: 0.009 - 0.019 %/y80-90th percentile: 0.019 - 0.045 %/y90-95th percentile: 0.045 - 0.098 %/y95-100th percentile: > 0.098 %/y

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 lidar dataset was collected as part of an NCALM Seed grant for Brooke Hunter at the University of Oregon. This study used airborne lidar to detect Post-Fire Debris Flow Detection and Erosion from the Douglas Fire near Grants Pass, Oregon. The study area covers approximately 60 km2.

This lidar dataset was collected as part of an NCALM Seed grant for Nate Mitchell at Indiana University, Bloomington. This study measures variations in bedrock cliff morphologies with fracture density and incision rate along a transient stream. The study area covers approximately 56 km2 along Boulder Creek, northwest of Salmon, Idaho.