RCRC Climate Centre

This data sets contains a shapefile with the building footprint of Wad Sherifey Refugee Settlement, Kassala, Sudan. Wad Sherifey is a refugee camp located in the East of Sudan along the Mareb River. During the past year refugees fleeing from conflict have arrived and settled in the area, partly within flood prone areas of the Mareb River. Already vulnerable and displaced, now additionally facing the risk of floods. Actors like the Red Cross Red Crescent Climate Centre and MFS manage projects in this region, and OSM data sets like this support the expansion of anticipatory action (acting before a disaster happens www.anticipation-hub.org/) to those most affected by conflict and climate. The area was selected for OSM mapping through a methodology to identify & prioritize high-risk and unmapped areas within a country for OSM mapping (StoryMap: https://arcg.is/1eqOXj) The data was collected through an HOT OSM task (https://tasks.hotosm.org/projects/11685), which was created in collaboration with MFS and led by the Netherland Red Cross’ Missing Maps Team. The task was completed (mapped & validated) in April 2022. The satellite imagery used for the mapping was from late August 2021 and provided by MFS.

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.