Download Level 1 exposure data in CSV format with OED codes. Copyright (C) 2020 ImageCat Inc. and METEOR Project Consortium.
This data was developed as part of the Modelling Exposure Through Earth
Observation Routines (METEOR) project and is a Level 1, or a global-quality
exposure data set. Minimal country-specific data was collected. The data is
intended for CAT modeling and loss estimation. Repurposing this data for any
reason other than assessing risk is not recommended. The data presents the
estimated number of buildings, building area, and rebuilding value at a
15-arcsecond grid resolution (approximately 500 meters at the equator). This
data set is in point shapefile format where the points represent the centroids
of the 15-arcsecond grid. The results were created through a process of
spreading the number of buildings to the 15-arcsecond level by a statistical assessment of
moderate resolution EO data, which is described in more detail in the
dasymetric mapping lineage processing step. The estimated building count at
any given area is a result of statistical processes and should not be mistaken
as a building count. The structural classes of buildings used for risk
assessment are estimated given the building wall, floor, and roof material
classes surveyed through 2002 Population and Housing Census - Volume 1.
Analytical report. Additionally, the data is provided in Open Exposure Data
(OED) import format, as a pair of CSV files. One CSV file contains the
location details, and the other is an "account" file that is filled with
default information to satisfy OED format requirements. The OED input files
are set to use "All perils" (i.e. "AA1"). All required OED account-related
fields are populated with "1" by default (such as PortNumber, AccNumber,
PolNumber).
This data is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
See the following link for details:
http://creativecommons.org/licenses/by-nc-sa/4.0/
View interactive maps for this data using the METEOR map portal https://maps.meteor-project.org