Catalogue — PacRIS Samoa datasets

Every record the Samoa node held, taken from its own catalogue API. Titles, identifiers, dates and descriptions are the site’s; nothing has been added to them. 20 of the 42 records carried a written description.

The identifiers below are printed, not linked. Each dataset had a page rendered from a database that no longer exists, and a link to it would go nowhere — but the identifier is how the dataset is named across PacRIS and PCRAFI systems, so it is worth having in the record.

WS_Apia_Imagery

2018-09-30geonode:ws_apia_nov27

Pan-sharped QuickBird Imagery for Apia, Samoa. Resolution - 60cm

WS_Average_Annual_Loss_

2013-06-25geonode:ws_district_aal

The expected economic impact due to natural hazards is illustrated through an average annual loss (AAL) map, which indicates the estimated economic losses averaged over the 10,000 realizations of next-year activity. Economic loss is defined as the total direct ground-up losses, i.e., the cost needed to repair or replace damaged assets. Three types of assets were considered: (1) buildings (e.g., residential, commercial, industrial, and public buildings) - (2) major infrastructure (airports, ports, power plants, bridges, dams, etc.) - and (3) valuable crops (sugarcane, taro, rice, banana, etc.). Two types of natural events were explicitly considered in this risk analysis: earthquakes (inducing both ground shaking and tsunami waves) and tropical cyclones (inducing wind, precipitation/flood, and coastal flooding due to surge of the sea level). The resolution is taken at a specified administration boundary for each country. Compiled by AIR Worldwide.

WS_Average_Annual_Loss_for_Tropical_Cyclone_and_Earthquake

2013-06-25geonode:ws_district_aal_tc_eq

WS_Building_Aggregate_Exposure

2013-06-25geonode:ws_bldexp_aggregates

The building exposure database includes a comprehensive inventory of residential, commercial, public and industrial buildings, consisting of their location, structural characteristics that affect the vulnerability to the effects of natural disasters, and replacement costs. Sophisticated methodologies were adopted for (1) identifying the spatial distribution of buildings in each country, (2) estimating building characteristics, and (3) assessing their unit replacement costs. Raw building datasets, which included approximately 80,000 field surveyed buildings across 11 countries, was critically analyzed and thoroughly processed to develop the building exposure database. The spatial location of buildings for all populated areas of each 15 PIC was assembled with a high level of resolution that balance accuracy and economy. In general, buildings were either (1) manually digitized from high-resolution satellite imagery and surveyed in the field (coverage: PG, TO, VU, TV, SB, WS, CK, FJ, KI, PW, and FM), (2) manually digitized from high-resolution satellite imagery but not field verified (coverage: All 15 countries), (3) inferred using image processing techniques and/or census data (coverage: PG, FJ, KI, SB, TL, VU, FM, MH, and, to a lesser extent, SB, CK, TO, and TV), or (4) extracted from datasets acquired from government sources. Compiled by AIR Worldwide.

WS_Crop Aggregate Exposure

2013-06-25geonode:ws_crops

The LULC databases, which contain information on all vegetation, were used to create the cash crop exposure database. Since these LULC maps were developed at a very fine resolution, the file sizes were extremely large, and direct use of the LULC data sets is not suitable for a loss analysis. Thus, cash crops were indexed in a distinct database by sampling the LULC data on an 80-by-80 meter grid for most countries. For the larger countries (PG, WS, and FJ), the sampling grid was taken at 270 by 270 meters. These different sampling resolutions balanced accuracy and economy, and allowed for the detection of cash crops even in small atolls. In addition, the crop types indicated in the LULC maps, which sometimes included multiple crops in one area, were mapped appropriately to a similar crop classification, in which the replacement costs and damage functions could be easily assigned. Compiled by AIR Worldwide.

WS_District

2013-06-24geonode:ws_district

The population was compiled from available census reports and validated using other available datasets. For each country, population counts from the finest resolution was trended to 2010 using a country-specific annual growth rate assumptions. Underlying vector geometry comes from regional sources, primarily SPC. Primary Data Source(s): PopGIS, Samoa Bureau of Statistics Secondary Data Source(s): None Geographical Resolutions Available (with count): 1. Island (4) 2. Region (4) 3. District (43) 4. Village (330) Additional Comments: 1. The Region geographical resolution is not related to the other geographical resolutions. It defines major populated regions within Samoa. 2. This population database is misaligned due to the source data provided in the SPC?s PopGIS data set. This misalignment is not linear and the largest measured misalignment in a significantly populated region is approximately 50 meters. Complied by AIR Worldwide

WS_EQ_HazardMap_03_100 MRP

2013-06-25geonode:sam_03_100t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 100 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 0.3 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_03_2500 MRP

2013-06-25geonode:sam_03_2500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 2500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 0.3 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_03_500 MRP

2013-06-25geonode:sam_03_500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 0.3 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_10_100 MRP

2013-06-25geonode:sam_10_100t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 100 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 1 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_10_2500 MRP

2013-06-25geonode:sam_10_2500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 2500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 1 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_10_500 MRP

2013-06-25geonode:sam_10_500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. Spectral = 1 second spectral acceleration. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_PGA_100 MRP

2013-06-25geonode:sam_00_100t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 100 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_PGA_2500 MRP

2013-06-25geonode:sam_00_2500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 2500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_EQ_HazardMap_PGA_500 MRP

2013-06-25geonode:sam_00_500t

An earthquake hazard map provides, at any location, the value of a ground motion intensity measure (for example, horizontal peak ground acceleration, PGA) that is expected to be exceeded at least once in 500 year mean return period. The earthquake hazard maps are developed by determining the simulated ground motion intensities at every gridded location for 10,000 realizations of next-year activity of earthquake events. At each grid location, the intensities are ranked and the ground motion intensity of the mean return period of interest is recorded. The size of the finest grid is 9 arc seconds and was resampled to coarser resolutions (up to approximately 7 arc minutes) for some locations. Compiled by AIR Worldwide.

WS_Point_Building_Exposure_Modelled

2013-06-24geonode:ws_bldexp_modelled

The building exposure database includes a comprehensive inventory of residential, commercial, public and industrial buildings, consisting of their location, structural characteristics that affect the vulnerability to the effects of natural disasters, and replacement costs. Sophisticated methodologies were adopted for (1) identifying the spatial distribution of buildings in each country, (2) estimating building characteristics, and (3) assessing their unit replacement costs. Raw building datasets, which included approximately 80,000 field surveyed buildings across 11 countries, was critically analyzed and thoroughly processed to develop the building exposure database. The spatial location of buildings for all populated areas of each 15 PIC was assembled with a high level of resolution that balance accuracy and economy.The locations in this layer were (1) manually digitized from high-resolution satellite imagery but not field verified (location = verified, attributes modelled), (2) inferred using image processing techniques and/or census data (coverage: PG, FJ, KI, SB, TL, VU, FM, MH, and, to a lesser extent, SB, CK, TO, and TV, location = modelled and attributes = modelled), or (3) extracted from datasets acquired from government sources (location = verified, and attributes = modelled). Compiled by AIR Worldwide.

WS_Point_Building_Exposure_Verified

2013-06-24geonode:ws_buildings_verified

WS_Surface_Soil

2013-06-25geonode:ws_soils_vs30

Surface soil classification was derived using the method developed by Allen and Wald (2009) which uses topographic data as a proxy for site conditions. The soil maps derived using this methodology show the shear wave velocity of seismic waves in the top 30 meters of soil, which is denoted as Vs30. High values of Vs30 (e.g., greater than 760m/s) refer to hard rock site conditions, which show no significant amplification of incipient seismic waves. Very low values of Vs30 (e.g., lower than 180m/s) refer to very soft soil sites where significant amplification is expected. Average medium to stiff soil conditions have Vs30 values in the 300 to 500m/s range. Although these maps are developed according to the current state-of-the-art approach, it should be noted that in some cases discrepancies may be found between the values of Vs30 estimated by this method and those that may be measured in the field. Data Source: Soils are derived from topographic slope using methodology by Allen and Wald [2009] based on SRTM4 data. The resolution is 9-arc second. The data cover all of the 15 countries. Compiled by AIR Worldwide.

WS_TC_HazardMap Wind 100 MRP

2013-06-25geonode:sam_w100_tr

A tropical cyclone wind hazard map provides, at any location, the value of a wind intensity measure (for example, maximum 1 minute sustained wind speed for tropical cyclones) that is expected to be exceeded at least once in 100 year time period. The hazard maps are developed by determining the simulated intensities at every gridded location for 10,000 realizations of next-year activity of tropical cyclone events. At each grid location, the intensities are ranked and the wind intensity of the mean return period of interest is recorded. The size of the grid is 90 arc seconds. Compiled by AIR Worldwide.

WS_TC_HazardMap Wind 500 MRP

2013-06-25geonode:sam_w500_tr

A tropical cyclone wind hazard map provides, at any location, the value of a wind intensity measure (for example, maximum 1 minute sustained wind speed for tropical cyclones) that is expected to be exceeded at least once in 500 year time period. The hazard maps are developed by determining the simulated intensities at every gridded location for 10,000 realizations of next-year activity of tropical cyclone events. At each grid location, the intensities are ranked and the wind intensity of the mean return period of interest is recorded. The size of the grid is 90 arc seconds. Compiled by AIR Worldwide.