This data package contains field data collected during anticipatory mapping in Timor Leste. The data collection focused on completing critical infrastructure mapping in the focus areas, collecting information of historic flood events, flood impacts, and early warnings.
This data package is available upon request only due to containing household-level information. However, all structural building data has been directly imported into OpenStreetMap and is openly accessible.
The project involved several key stages:
• Initial updates and completion of building footprints in OpenStreetMap in focus areas via remote mapping using satellite imagery before commencing field mapping.
• Comprehensive mapping of all critical infrastructure buildings in designated areas, gathering bbuilding attributes like building use, names, etc.
• Collection of specific building features indicating susceptibility to floods or other hazards, such as minimum foundation height and building materials.
• Additionally, qualitative information on buildings' flood history was collected where individuals were present (e.g., 'Has this building been flooded in the past?'
• In the Manatuto area, a subset of residential buildings was mapped alongside all critical infrastructure buildings.
Field mapping activities covered the following areas and dates:
• Manatuto: September 11th to 15th, 2023 (1479 critical infrastructure & residential buildings mapped)
• Raimea: September 18th, 2023 (27 critical infrastructure buildings mapped)
• Uma Berloic: September 19th, 2023 (36 critical infrastructure buildings mapped)
• Pante Macassar: September 21st to 22nd, 2023 (218 critical infrastructure buildings mapped)
The data package includes the following files:
1_Timor-Leste_AA_mapping_all areas.xlsx:
Contains all collected, georeferenced data in raw and cleaned formats, along with a codebook.
2_TL_AM_Data_joined_OSM_Buildingfootprint.zip & 3_TL_AM_Data_joined_OSM_Building_footprint.json:
Contain collected data joined to the OSM building footprint, updated via satellite mapping before field activities.
4_TimorLeste_KoboForm_Questions.pdf:
Displays the questions and answer options used in the KoboCollect questionnaire for field data collection on historic flood events, impacts, and early warnings.
5_Final_Datamodel_Koboform_TimorLeste_AAmapping.xls:
This table contains the data structure of the KoboCollect questionnaire. Importing this file into the KoboCollect toolbox allows to replicate the data collection.
6_OSM_Data_Model.pdf:
This table offers an overview of the OpenStreetMap (OSM) data model and tags used for anticipatory mapping in Timor Leste, detailing how geographic objects are tagged with keys (e.g., "building") and values (e.g., “residential”) to describe their attributes.