데이터셋 상세
미국
Lagoinha Landslide, São Paulo State, Brazil. SfM-MVS point cloud
Digital Surface Model (DSM) of a small hillslope with a landslide, São Paulo State, southeastern Brazil. Data were collected by a team from University of São Paulo (USP) composed of: Grohmann, C.H., Gomes, E.B., Garcia, G.P.B., Viana, C.D., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP).
데이터 정보
연관 데이터
Lagoinha Landslide, São Paulo State, Brazil. TLS point cloud
공공데이터포털
Digital Surface Model (DSM) of a small hillslope with a landslide, São Paulo State, southeastern Brazil. Data were collected by Tomasini Geo-Technologies company, along with a team from University of São Paulo (USP) composed of: Grohmann, C.H., Gomes, E.B., Garcia, G.P.B., Viana, C.D., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP).
Garopaba Dune Field, Santa Catarina State, Brazil. SfM-MVS point cloud
공공데이터포털
Digital Surface Model (DSM) of the Garopaba Dune Field (Siriú dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of São Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP).
Garopaba Dune Field, Santa Catarina State, Brazil. TLS point cloud
공공데이터포털
Digital Surface Model (DSM) of the Garopaba Dune Field (Siriú dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with a SfM-MVS DEM (http://dx.doi.org/10.5069/G9DV1H19) and with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of São Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 "Application of high-resolution digital elevation models in geology and geomorphology" (PI: Carlos H. Grohmann, IEE-USP).
Terrestrial LIDAR Data Set of the February 14, 2019 Sausalito Boulevard Landslide, Sausalito, California
공공데이터포털
On February 14, 2019, just before 2:56 am local time (Pacific Standard Time), a landslide initiated from the natural hillslopes above the City of Sausalito, California. The landslide, properly identified as a debris flow, overran a road (Sausalito Boulevard) located immediately below the landslide source area, and impacted and destroyed several residential structures. One person was located in one of the residences and survived the disaster after being transported in their home down the slope. The U.S. Geological Survey responded to this event within hours of the landslide and provided situational awareness of possible secondary landslide hazards associated with the event. The USGS also rapidly mobilized its topographic surveying capabilities (specifically, GPS and terrestrial lidar devices) and collected a three-dimensional point cloud model of the landslide source area and surrounding terrain to capture the as-failed condition of the slope for potential future studies. This data collected during this response is presented in this data release.