Skip to main content
Advanced Search

Filters: Tags: Avalanche (X)

15 results (61ms)   

Filters
Date Range
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The files consist of two types: tabulated data files and graphical map files. Data files consist of six .csv files, representing six experiment dates (2016_06_14, 2016_16_15, 2016_18_15, 2016_16_21, 2016_16_22, 2016_16_23). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of six .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Adam Technology.
thumbnail
As part of the Department of Natural Resources (DNR) effort to make final recommendations of federal land parcels to be considered for selection by the State of Alaska according to provisions of the Statehood Act, a decision was made to identify and evaluate potential access corridors. Corridor maps were compiled for a total of 78 quadrangles throughout Alaska. This map suite shows relevant geologic information at a scale of 1:250,000 for 10-mile-wide corridors straddling centerlines for proposed access routes throughout Alaska. The maps are based on geologic data compiled from existing, published mapping. Each compiled corridor geology map was used to derive maps of potential construction materials, data quality,...
Tags: Alaska, State Of, Ambler River Quadrangle, Anchorage Quadrangle, Aufeis, Avalanche, All tags...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
thumbnail
This report provides detailed (1:63,360-scale) mapping of the Tanana B-1 Quadrangle (250 square miles; equivalent to four 7.5 minute quadrangles). The area is part of the Manley Hot Springs-Tofty mining districts and adjacent to the Rampart mining district to the north of the Tanana A-1 and A-2 Quadrangles. This report includes a derivative map of potential geologic hazards based on the resulting geologic maps, field investigations, and laboratory materials analyses.
thumbnail
This dataset includes processed tree ring data from avalanche paths in Glacier National Park and the Flathead National Forest in northwest Montana. The data were processed in three distinct phases that resulted in this dataset: collection, processing, and avalanche signal analysis. This dataset consists of samples from 647 trees with 2304 growth disturbances identified from 12 avalanche paths.
thumbnail
The data files consist of four .csv files, with one file for each of four experiment dates (1994_06_21, 1994_06_23, 1997_05_20, and 1997_05_22). Each file contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity (flow depth, h, flow speed, u, or run-up height, H) measured at that time. Detailed descriptions of column headings are provided below. The .csv files are easily imported into Microsoft Excel as well as a wide variety of other programs. The data are unclassified and no legal restrictions pertain to their use.
thumbnail
The files consist of two types: tabulated data files and graphical map files. Data files consist of three .csv files, representing three experiment dates (2017_05_23, 2017_05_24, 2017_05_25). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of three .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Agisoft.
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
thumbnail
The files consist of six .csv files, with two files for each of three experiments (2017_05_16, 2017_05_17, 2017_05_18). One of the two files contain high-resolution data (1000 Hz) collected during the period of slope failure only, and the other files contain low-resolution data (10 Hz) for the entire duration of an experiment. Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). In addition, 289 pairs of images were extracted from two video cameras during the sediment failure on May 17 2017. First posted - April 24, 2019 (available from author)...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
thumbnail
The engineering-geologic map, on two sheets, is derived electronically from the surficial-geologic map of the initial segment of the proposed natural gas pipeline corridor through the upper Tanana valley (Reger and others, PIR 2008-3a) using Geographic Information System (GIS) software. Surficial-geologic units were initially identified by interpretation of false-color ~1:63,000-scale infrared aerial photographs taken in July 1978, August 1980, and August 1981 and locally verified by field checking in 2006 and 2007. The map shows the distribution of surficial-geologic and bedrock units grouped genetically with common properties that are typically significant for engineering applications.


    map background search result map search result map Data from debris-flow run-up experiments conducted in June, 1994, and May, 1997, at the USGS Debris-flow Flume, HJ Andrews Experimental Forest, Blue River, Oregon FSA 10:1 NAIP Imagery m_4309026_ne_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_nw_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_se_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_sw_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Survey of geology, geologic materials, and geologic hazards in proposed access corridors in selected quadrangles, Alaska Engineering-geologic map, Alaska Highway corridor, Delta Junction to Dot Lake, Alaska Surficial geology of the Dalton Highway (Itkillik-Sagavanirktok rivers) area, southern Arctic foothills, Alaska Derivative map of potential geologic hazards in the Tanana B-1 Quadrangle, Alaska USGS 1:24000-scale Quadrangle for Avalanche, WI 1983 USGS 1:24000-scale Quadrangle for Avalanche, WI 1983 Sensor data from debris-flow experiments conducted in May, 2017, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Sensor data from natural release experiments conducted in May, 2017, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon (ver. 2.0, May 2020) Tree ring dataset for a regional avalanche chronology in northwest Montana, 1636-2017 Sensor data from debris-flow experiments conducted in May, 2017, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon Sensor data from natural release experiments conducted in May, 2017, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon (ver. 2.0, May 2020) Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon FSA 10:1 NAIP Imagery m_4309026_ne_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_nw_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_se_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4309026_sw_15_1_20150930_20151109 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Avalanche, WI 1983 USGS 1:24000-scale Quadrangle for Avalanche, WI 1983 Surficial geology of the Dalton Highway (Itkillik-Sagavanirktok rivers) area, southern Arctic foothills, Alaska Tree ring dataset for a regional avalanche chronology in northwest Montana, 1636-2017 Engineering-geologic map, Alaska Highway corridor, Delta Junction to Dot Lake, Alaska Survey of geology, geologic materials, and geologic hazards in proposed access corridors in selected quadrangles, Alaska