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Precipitation and soil-moisture data from the Two Towers landslide, Trinity County, California
We performed hourly monitoring of precipitation and soil moisture at the Two Towers landslide located in northern California near the town of Zenia. Data were acquired January 19, 2017 to April 29, 2020. Rainfall was measured near the center of the landslide using a tipping-bucket rain gauge with resolution of 0.254 mm and accuracy of ±2% to 250 mm/h (resolutions and accuracies stated herein are as specified by sensor manufacturers and accounting for datalogger resolution). Soil moisture (volumetric ratio of water volume to total volume; unitless) was measured near the center of the landslide using a dielectric sensor installed at 19-cm depth into the wall of a hand-excavated pit that was subsequently backfilled using material obtained during excavation. The soil-moisture sensor utilized factory calibration and has resolution of 0.001 and accuracy of +/- 0.03. These data support a study described in Liao, T.-H., Kim, S.-B., Handwerger, A.L., Fielding, E.J., Cosh, M., and Schulz, W.H., 2021, High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10.1109/JSTARS.2021.3069010.
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Precipitation and soil-moisture data from the Two Towers landslide, Trinity County, California
공공데이터포털
We performed hourly monitoring of precipitation and soil moisture at the Two Towers landslide located in northern California near the town of Zenia. Data were acquired January 19, 2017 to April 29, 2020. Rainfall was measured near the center of the landslide using a tipping-bucket rain gauge with resolution of 0.254 mm and accuracy of ±2% to 250 mm/h (resolutions and accuracies stated herein are as specified by sensor manufacturers and accounting for datalogger resolution). Soil moisture (volumetric ratio of water volume to total volume; unitless) was measured near the center of the landslide using a dielectric sensor installed at 19-cm depth into the wall of a hand-excavated pit that was subsequently backfilled using material obtained during excavation. The soil-moisture sensor utilized factory calibration and has resolution of 0.001 and accuracy of +/- 0.03. These data support a study described in Liao, T.-H., Kim, S.-B., Handwerger, A.L., Fielding, E.J., Cosh, M., and Schulz, W.H., 2021, High-resolution soil moisture maps over landslide regions in northern California grassland derived from SAR backscattering coefficients: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10.1109/JSTARS.2021.3069010.
Data from in-situ landslide monitoring, Trinity County, California
공공데이터포털
We performed hourly monitoring of conditions at the Two Towers landslide located in northern California near the town of Zenia. Monitored conditions included rainfall, groundwater head, horizontal total stress, horizontal effective stress, vertical soil deformation, and subsurface displacement. Data were acquired November 11, 2014–July 22, 2017, except for times during which power failure occurred; data for these times are given as “NAN” (not a number). Rainfall data are provided in millimeters during the past hour (mm/hr). Groundwater heads are provided in meters (m) above the landslide base. Horizontal stresses are provided in kilopascals (kPa). Vertical soil deformation data are provided in terms of length (centimeters, cm) of the sensor. Cumulative landslide displacement is provided in millimeters (mm). Rainfall was measured at the landslide middle monitoring location using a tipping-bucket rain gauge with resolution of 0.254 mm and accuracy of ±2% to 250 mm/hr (resolutions and accuracies stated herein are as specified by sensor manufacturers and accounting for datalogger resolution). A vibrating-wire total-stress plate sensor was installed with near-vertical orientation in the floor of an excavated pit at the middle monitoring location. This sensor measured total horizontal stress applied to its 230-mm-diameter surface with resolution of 0.014 kPa and accuracy of ±0.069 kPa. The sensor was installed within a slot slightly wider than the plate itself with its center at a depth of 1.83 m, and a vibrating-wire fluid pressure transducer with the same resolution and accuracy as the total stress sensor was installed adjacent to the cell to measure fluid pressure and therefore provide a means of calculating horizontal effective stress. The pit was backfilled after sensor installation with material removed during its excavation. The remaining sensors were installed within 6.35-cm-diameter holes bored using hand equipment. These included electronic, vibrating-wire fluid pressure transducers (piezometers) with resolutions of 0.014 kPa and 0.086 kPa, and respective accuracies of ±0.069 kPa and ±0.344 kPa. Boreholes were backfilled above transducers first with ~0.3 m of material obtained during boring followed by bentonite granules to the ground surface. Piezometers were installed at depths of 3.66 m and 6.07 m at the upper monitoring location, 3.95 m and 5.69 m at the middle monitoring location, and 2.62 and 3.66 m at the lower monitoring location. Landslide basal depths were identified at approximately 6.3 m, 7.9 m, and 3.6 m at the upper, middle, and lower monitoring locations, respectively. A 30.48-cm-long biaxial tilt sensor installed within PVC casing (slope inclinometer) was used to monitor landslide displacement at the lower monitoring location. The slope inclinometer has 0.003 mm displacement resolution and long-term displacement accuracy of ±0.23 mm. A vibrating-wire length sensor was installed in a borehole to measure near-surface vertical deformation at the middle monitoring location. This sensor measured length with 0.0375 mm resolution and ±0.15 mm accuracy. The sensor’s upper and lower ends were anchored within cement grout such that its length was measured over a depth range (at installation) of 0.20-1.72 m. All sensors contain thermistors and readings are temperature compensated, with the exception of the rain gauge. These data support a study described in Schulz, W.H., Smith, J.B., Wang, G., Jiang, Y., and Roering, J.J., 2018, Clayey landslide initiation and acceleration strongly modulated by soil swelling: Geophysical Research Letters, DOI:10.1002/2017GL076807.
Data from in-situ landslide monitoring, Trinity County, California
공공데이터포털
We performed hourly monitoring of conditions at the Two Towers landslide located in northern California near the town of Zenia. Monitored conditions included rainfall, groundwater head, horizontal total stress, horizontal effective stress, vertical soil deformation, and subsurface displacement. Data were acquired November 11, 2014–July 22, 2017, except for times during which power failure occurred; data for these times are given as “NAN” (not a number). Rainfall data are provided in millimeters during the past hour (mm/hr). Groundwater heads are provided in meters (m) above the landslide base. Horizontal stresses are provided in kilopascals (kPa). Vertical soil deformation data are provided in terms of length (centimeters, cm) of the sensor. Cumulative landslide displacement is provided in millimeters (mm). Rainfall was measured at the landslide middle monitoring location using a tipping-bucket rain gauge with resolution of 0.254 mm and accuracy of ±2% to 250 mm/hr (resolutions and accuracies stated herein are as specified by sensor manufacturers and accounting for datalogger resolution). A vibrating-wire total-stress plate sensor was installed with near-vertical orientation in the floor of an excavated pit at the middle monitoring location. This sensor measured total horizontal stress applied to its 230-mm-diameter surface with resolution of 0.014 kPa and accuracy of ±0.069 kPa. The sensor was installed within a slot slightly wider than the plate itself with its center at a depth of 1.83 m, and a vibrating-wire fluid pressure transducer with the same resolution and accuracy as the total stress sensor was installed adjacent to the cell to measure fluid pressure and therefore provide a means of calculating horizontal effective stress. The pit was backfilled after sensor installation with material removed during its excavation. The remaining sensors were installed within 6.35-cm-diameter holes bored using hand equipment. These included electronic, vibrating-wire fluid pressure transducers (piezometers) with resolutions of 0.014 kPa and 0.086 kPa, and respective accuracies of ±0.069 kPa and ±0.344 kPa. Boreholes were backfilled above transducers first with ~0.3 m of material obtained during boring followed by bentonite granules to the ground surface. Piezometers were installed at depths of 3.66 m and 6.07 m at the upper monitoring location, 3.95 m and 5.69 m at the middle monitoring location, and 2.62 and 3.66 m at the lower monitoring location. Landslide basal depths were identified at approximately 6.3 m, 7.9 m, and 3.6 m at the upper, middle, and lower monitoring locations, respectively. A 30.48-cm-long biaxial tilt sensor installed within PVC casing (slope inclinometer) was used to monitor landslide displacement at the lower monitoring location. The slope inclinometer has 0.003 mm displacement resolution and long-term displacement accuracy of ±0.23 mm. A vibrating-wire length sensor was installed in a borehole to measure near-surface vertical deformation at the middle monitoring location. This sensor measured length with 0.0375 mm resolution and ±0.15 mm accuracy. The sensor’s upper and lower ends were anchored within cement grout such that its length was measured over a depth range (at installation) of 0.20-1.72 m. All sensors contain thermistors and readings are temperature compensated, with the exception of the rain gauge. These data support a study described in Schulz, W.H., Smith, J.B., Wang, G., Jiang, Y., and Roering, J.J., 2018, Clayey landslide initiation and acceleration strongly modulated by soil swelling: Geophysical Research Letters, DOI:10.1002/2017GL076807.
Rainfall data near the Black Hollow Debris Flow, Larimer County, Colorado 20 July 2021
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The data presented in this data release represent the records from a rain gage near Black Hollow, CO, a watershed that is tributary to the Cache La Poudre River. On 20 July 2021 a large rainstorm moved over the watershed and generated a large debris flow that destroyed several homes, resulting in four fatalities. The watershed had been burned prior to the rainstorm during the Cameron Peak wildfire (13 August – 2 December 2020). Here we present time-series data the Dry Creek rain gage, which captures the storm that triggered the Black Hollow debris flow. Latitude and Longitude data are included in the header. The Dry Creek rain gage reports the number of tips at timesteps of 5 minutes, and each tip is equal to 0.01 inches of rainfall.
Rainfall data near the Black Hollow Debris Flow, Larimer County, Colorado 20 July 2021
공공데이터포털
The data presented in this data release represent the records from a rain gage near Black Hollow, CO, a watershed that is tributary to the Cache La Poudre River. On 20 July 2021 a large rainstorm moved over the watershed and generated a large debris flow that destroyed several homes, resulting in four fatalities. The watershed had been burned prior to the rainstorm during the Cameron Peak wildfire (13 August – 2 December 2020). Here we present time-series data the Dry Creek rain gage, which captures the storm that triggered the Black Hollow debris flow. Latitude and Longitude data are included in the header. The Dry Creek rain gage reports the number of tips at timesteps of 5 minutes, and each tip is equal to 0.01 inches of rainfall.
Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017
공공데이터포털
The West Hills of Portland, in the southern Tualatin Mountains, trend northwest along the west side of Portland, Oregon. These silt-mantled mountains receive significant wet-season precipitation and are prone to sliding during wet conditions, occasionally resulting in significant property damage or casualties. In an effort to develop a baseline for interpretive analysis of the groundwater response to rainfall, an automated monitoring system was installed in 2006 to measure rainfall, pore-water pressure, soil suction, soil-water potential, and volumetric water content at 15-minute intervals. The data show a cyclical pattern of groundwater and moisture content levels—wet from October to May and dry between June and September. Saturated soil conditions tend to last throughout the wet season. This release presents data collected from January 10, 2006, through January 23,2017.
Results of Hydrologic Monitoring of a Landslide-Prone Hillslope in Portland's West Hills, Oregon, 2006-2017
공공데이터포털
The West Hills of Portland, in the southern Tualatin Mountains, trend northwest along the west side of Portland, Oregon. These silt-mantled mountains receive significant wet-season precipitation and are prone to sliding during wet conditions, occasionally resulting in significant property damage or casualties. In an effort to develop a baseline for interpretive analysis of the groundwater response to rainfall, an automated monitoring system was installed in 2006 to measure rainfall, pore-water pressure, soil suction, soil-water potential, and volumetric water content at 15-minute intervals. The data show a cyclical pattern of groundwater and moisture content levels—wet from October to May and dry between June and September. Saturated soil conditions tend to last throughout the wet season. This release presents data collected from January 10, 2006, through January 23,2017.
Landslide, soil, and vegetation measurements following an atmospheric river storm on January 9, 2023, in the Santa Ynez Mountains, California, USA
공공데이터포털
An atmospheric river storm on January 9, 2023, produced widespread landsliding in the Santa Ynez Mountains in Santa Barbara County and Ventura County, California (USA). Landslides occurred in the footprint of the 2008 Tea Fire, 2009 Jesusita Fire, 2017 Thomas Fire, and 2019 Cave Fire, as well as in areas that had not burned in more than 15 years. Most of these landslides were shallow (less than 3-meter deep) debris slides, which mobilized into debris flows and entered drainage networks. This U.S. Geological Survey data release contains (1) an inventory of landslides that were identified with aerial photographs, (2) a tabulation of landslide source area characteristics that were measured in the field, (3) local rain gage records that span October 1, 2022, through September 30, 2023, (4) laboratory-based measurements of local soil characteristics, and (5) field-based measurements of local vegetation characteristics. The “ProcessSteps.txt” file outlines how the data were collected. The “README.txt” file describes the fields for all of the datasets. Fields with a value of “-9999” indicate that the data are not available or do not exist.
Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017
공공데이터포털
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
Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017
공공데이터포털
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