Filters: Tags: Landslide Hazards Program (X) > Types: OGC WFS Layer (X)
13 results (31ms)|
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types Tag Schemes |
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more precise locations and geometries (2015 - 2017 USGS Lidar DEM: Puerto Rico dataset). The inventory consists of a shapefile of 309 polygons (PR_landslide_inventory_pts.shp) outlining the source area and deposits together. It also includes a point inventory (PR_landslide_inventory_pts.shp) marking 170 individual displaced boulders that...
Landslides are a common hazard on FSM and identified as a significant risk to human life by the CDC. In 1997, tropical storms (TS) triggered landslides in Pohnpei that resulted in 20 fatalities, impacting 14 homes. In 2002, a TS triggered over 250 landslides in Chuuk resulting in 47 fatalities and impacting 231 structures, totaling $100 million in damages. FSM has also been impacted by disastrous landslides in 1991, 1992, 2004, and 2018 – and certainly many other unreported landslides. Following the 2002 event, the CDC found that “increasing knowledge of natural warnings can reduce the risk for mortality during landslides.” As a first step, knowing what areas are susceptible to landslide hazards is key. To this...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BHA,
Federated States of Micronesia,
LDAT,
Landslide Hazards Program,
USAID,
Landslides hazards pose a serious threat to people and infrastructure in the Federated States of Micronesia (FSM). To develop a comprehensive understanding of the landslides hazards in FSM, the USGS-USAID Landslide Disaster Assistance Team (LDAT) has put together landslide inventories for each state using satellite imagery. Mapping was done using RGB satellite imagery from Maxar, Planet Labs, and Google Earth. This inventory is for Chuuk state and covers all available imagery between July 2003 and September 2022. Landslides are dated by a window of occurrence based on the last images before and first image after the occurrence of the landslide. Each event was mapped using a point at the center of the headscarp...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BHA,
Chuuk,
Federated States of Micronesia,
Geomorphology,
LDAT,
Multiple subaerial landslides adjacent to Prince William Sound, Alaska (for example, Dai and others, 2020; Higman and others, 2023; Schaefer and others, 2024) pose a threat to the public because of their potential to generate ocean waves (Dai and others, 2020; Barnhart and others, 2021; Barnhart and others, 2022) that could impact towns and marine activities. One bedrock landslide on the west side of Barry Arm fjord drew international attention in 2020 because of its large size (~500 M m3) and tsunamigenic potential (Dai and others, 2020). As part of the U.S. Geological Survey response to the detection of the potentially tsunamigenic landslide at Barry Arm, as well as a broader effort to evaluate bedrock landslide...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Barry Arm,
Barry Arm,
Blackstone Bay,
Cochrane Bay,
Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BALT-1,
California,
East Bay region,
GHSC,
Geologic Hazards Science Center,
Hurricane Maria brought intense rainfall and caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at two areas in San Lorenzo, which is a municipality in the east-central part of the main island. To study a characteristic sample of landslides in San Lorenzo, we mapped all visible landslides in two physiographically diverse areas, but all within the San Lorenzo Formation. We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas, and 1-m-resolution pre-event and post-event...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geologic Hazards Science Center,
Geomorphology,
Hurricane Maria,
Landslide Hazards Program,
Puerto Rico,
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to have triggered much of the observed ground failure, occurred on 7 January 2020. Most field reconnaissance efforts documented here took place as soon as possible after the mainshock, from 12-18 January 2020, to attempt to capture ephemeral data before evidence was destroyed by natural forces or repairs, but observations continued to...
This data release includes information used to support the manuscript "Linking mesoscale meteorology with extreme landscape response: effects of narrow cold frontal rainbands (NCFR)". The included datasets and supplement include information related to the 22 March 2018 NCFR and associated shallow landslides in the Toulumne Canyon triggered by this event. The three datasets and one supplemental information document are: 1) mapped landslides where we created polygons for each landslide that occurred (Tuolumne Canyon Landslide Data Storm of 22 March 2018.kmz), 2) soil grain size data for landslide source and depositional zones (Tuolumne Canyon Grain Size Data Storm of 22 March 2018.xlsx), 3) a time series of rainfall...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
GMEG,
Geology, Minerals, Energy and Geophysics Science Center,
Geomorphology,
Groveland,
This Data Release includes information to support the characterization of surface/near-surface infiltration rates of selected landslide source area materials following Hurricane Maria across Puerto Rico, USA. The dataset includes comma-delimited measurements of field-saturated hydraulic conductivity (Kfs) collected over two field campaigns (Fall 2018 and Spring 2019) as well as laboratory-derived measurements of soil/saprolite texture. The Kfs experiments were conducted within (or in the vicinity of) landslide source areas across the three primary geologic terranes on the island (Bawiec, 1998), including intrusive, volcaniclastic, and submarine basalt/chert lithologies. Depending on site conditions and the hydrologic...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GHSC,
Geologic Hazards Science Center,
Hydrology,
Infiltration,
LHP,
Subaerial and submarine landslides adjacent to, and within, Glacier Bay, Glacier Bay National Park and Preserve (GBNPP), Alaska pose a threat to the public because of their potential to generate ocean waves that could impact marine activities. Although historical records of tsunamis generated by landslides in GBNPP are uncommon, there are records that document the destructive power of at least three landslide-generated tsunamis in Lituya Bay on the west side of the park (Miller, 1960; Fritz, 2001). Additionally, the threat of a rapid failure of a slow-moving subaerial bedrock landslide in Tidal Inlet off the West Arm of Glacier Bay has drawn attention because of its tsunamigenic potential that could affect boat...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Alaska,
East Arm,
GHSC,
Geologic Hazards Science Center,
Introduction This data release is a compilation of known landslides, debris flows, lahars, and outburst floods that generated seismic signals observable on existing seismic networks. The data release includes basic information about each event such as location, volume, area, and runout distances as well as information about seismic detections and the location of seismic data, photos, maps, GIS files, and links to papers, websites, and media reports about the event. Not all record types exist for each event, and the quality of the information varies from event to event. While the SQLite3 database (lsseis.db) is the native format of this database and preserves its relational structure, for the convenience of users,...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Alaska,
British Columbia,
California,
Canada,
Colorado,
Data used for analysis described in the publication titled "Shallow-Landslide Hazard Map of Seattle, Washington" (available at https://pubs.usgs.gov/of/2006/1139/). The data consisted of a digital slope map derived from recent Light Detection and Ranging (LIDAR) imagery of Seattle, recent digital geologic mapping, and shear-strength test data for the geologic units in the surrounding area. The combination of these data layers within a Geographic Information System (GIS) platform allowed the preparation of a shallow landslide hazard map for the entire city of Seattle.
On 9 January 2018, intense rain above Montecito, California triggered a series of debris flows from steep catchments in the Santa Ynez Mountains. These catchments were burned three weeks earlier by the 1140 km2 Thomas Fire. After exiting the mountain front, the debris flows traveled over 3 km down a series of alluvial fans, killing 23 people and damaging over 400 homes. To understand the flow dynamics and damage of the debris flows and to provide a data set for testing debris-flow runout models, we mapped the inundation characteristics of the five main debris-flow runout paths in Montecito. Here we present our map data on the boundaries of debris-flow inundation, flow depth, and deposit characteristics and link...
|
|
