Solomon Islands GIS data

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**UNOSAT code: TC20260408SLB, GDACS ID: 1001268** This map illustrates the structures and buildings damaged by the passage of Hurricane MAILA-26, with the analysis focusing on Ranongga Island. Damage and destruction were identified primarily using Pleiades very high-resolution satellite imagery, acquired on 15 April 2026, and supported by aerial imagery for validation. In this area, UNOSAT identified approximately 320 damaged buildings and 370 potentially damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

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**ADAM ID: **sm\_us7000temi Magnitude 5.6 earthquake at 38.543 depth occurred on Sep 06 2026 26km SE of Santa Ana Island. The epicentre of the earthquake was located at latitude -11.0595 longitude 162.519. It impacted 4588 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) : tags['railway'] IN ('rail','station') Features may have these attributes: - name - name:en - railway - ele - operator:type - layer - addr:full - addr:city - source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

**ADAM ID: **sm\_us6000u1kv Magnitude 6.2 earthquake at 53.473 depth occurred on Oct 11 2026 20km W of Ballalae Island. The epicentre of the earthquake was located at latitude -7.0062 longitude 155.7021. It impacted 29565 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This vector dataset represents suitable areas for offshore mariculture of Skipjack and Yellowfin Tuna in Solomon Islands, produced under the scope of the Hand-in-Hand initiative in 2022, using publicly accessible data. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat Skipjack and Yellowfin Tuna. (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations. **Data creation:** 2022-07-26 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) **Data lineage:** lineage source statement The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data 1. FAO aquatic species distribution map of Skipjack tuna (Katsuwonus pelamis 2. FAO aquatic species distribution map of Yellowfin tuna (Thunnus albacares 3. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008 4. Sea Ports 5. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009 6. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for the ocean and land 2021 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Download documentation working paper/report on offshore mariculture suitability geospatial analysis Cabo Verde (Reference) Download skipjack and yellowfin tuna offshore mariculture suitability data for Solomon Islands.

This vector dataset represents suitable areas for offshore mariculture of Cobia (rachycentron canadum) in the Solomon Islands, produced under the scope of the Hand-in-Hand initiative in 2022, using publicly accessible data. Cobia is distributed in warm marine waters worldwide displaying a very large potential suitable area. It is selected as a representative species for tropical/subtropical waters offshore mariculture. The geospatial analysis adopts Kapetsky and Aguilar-Manjarrez study (Kapetsky et al., 2013(*)) methodology, where suitability is estimated based on the assumptions: 1. Activity develops within the exclusive economic zones (EEZs). 2. Uses cages for fish. 3. Employs species with proven mariculture technologies and established markets or identified as having good prospects for future development. Analytical criteria and thresholds are defined based on technical limits on cages, cost-effective farming, and species habitat: 1. Depths (25–100 m). 2. Current speeds (10–100 cm/s). 3. Cost limits on distance from shore to offshore installations (25 nm (46.3 km)). 4. Reliable access to a port. 5. Habitat Cobia (rachycentron canadum). (*) Kapetsky, J. M., Aguilar-Majarrez, J., & Jenness, J. (2013). A global assessment of offshore mariculture potential from a spatial perspective. In FAO Fisheries and Aquaculture Technical Paper (Issue No. 549, pp. 0–181). Food and Agriculture Organization of the United Nations. **Data creation:** 2022-07-26 **Contact points:** Metadata Contact: [FAO-Data](mailto:FAO-data@fao.org) **Data lineage:** lineage source statement The assessment analysis is developed using publicly accessible data. FAO Map Catalogue data 1. FAO aquatic species distribution map of Cobia (rachycentron canadum 2. Regions with HYCOM current speeds at 30m depth between 1 - 10, 10 - 100 and > 100 cm/s for all months in the year - Based on HYCOM NCODA (HYbrid Coordinate Ocean Model (HYCOM) and Navy Coupled Ocean Data Assimilation (NCODA)) 8.9 km 2004-2008 3. Sea Ports 4. EEZ - VLIZ Flanders Maritime Institute - Maritime boundaries geodatabase version 5 (2009 5. Bathymetry – GEBCO – General Bathymetric Chart of the oceans - Gridded bathymetric data sets are global terrain models for ocean and land 2021 **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0). **Online resources:** Download documentation working paper/report on offshore mariculture suitability geospatial analysis Cabo Verde (Reference) Download cobia offshore mariculture suitability data for Solomon Islands.

**ADAM ID: **sm\_us7000pfjq Magnitude 5.4 earthquake at 68.437 depth occurred on Feb 23 2025 31km S of Shortland Harbour. The epicentre of the earthquake was located at latitude -7.3652 longitude 155.9293. It impacted 3591 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us7000pfmk Magnitude 6.0 earthquake at 36.0 depth occurred on Feb 23 2025 81km SE of Lata. The epicentre of the earthquake was located at latitude -11.2833 longitude 166.2672. It impacted 495 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us7000pfjc Magnitude 5.6 earthquake at 10.0 depth occurred on Feb 23 2025 20km S of Shortland Harbour. The epicentre of the earthquake was located at latitude -7.2681 longitude 155.8242. It impacted 2303 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.