Madagascar GIS data

**UNOSAT code: TC20250308MDG, GDACS ID: 1154** This map illustrates the potentially affected cropland in Andapa District, Sava Region, Madagascar, based on RCM-2 satellite images acquired on 9 March 2025. In the analyzed area of approximately 680 km², about 145 km² of cropland is identified, of which about 20 km² appears to be affected by floodwaters. This is a preliminary analysis and has not yet been validated on the ground. Ground feedback is requested and can be sent to the United Nations Satellite Centre (UNOSAT). Important Note: Flood analysis based on radar images may underestimate the presence of standing water in built-up or densely vegetated areas due to the backscattering properties of the radar signal. as of 9 March 2025

**UNOSAT code: TC20250308MDG, GDACS ID: 1154** This map illustrates the potentially affected cropland in Maroantsetra District, Analanjirofo Region, Madagascar, based on RCM-2 satellite images acquired on 9 March 2025. In the analyzed area of approximately 1,200 km², about 140 km² of cropland is identified, of which about 35 km² appears to be affected by floodwaters. This is a preliminary analysis and has not yet been validated on the ground. Ground feedback is requested and can be sent to the United Nations Satellite Centre (UNOSAT). Important Note: Flood analysis based on radar images may underestimate the presence of standing water in built-up or densely vegetated areas due to the backscattering properties of the radar signal.

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Vangaindrano district, Atsimo Atsinanana region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  Within the analyzed cloud free zones of about 300km2, a total of about 56 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 12,500 people are potentially exposed or living close to flooded areas.  This is a preliminary analysis and has not yet been validated in the field.  Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**ADAM ID: **1001139\_12 Tropical storm during the period Jan 28 2025-Jan 31 2025 in Madagascar, French Southern Territories. The center of the storm was located near latitude -31.5 longitude 48.33. 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: **1001138\_19 Tropical storm during the period Jan 30 2025-Feb 03 2025 in Madagascar, Mozambique, Zimbabwe. The center of the storm was located near latitude -19.14 longitude 51.38. 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: **1001135\_39 Tropical storm during the period Jan 08 2025-Jan 17 2025 in Madagascar, Mozambique, Comoros. The center of the storm was located near latitude -34.61 longitude 58.47. 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: **1001256\_47 Tropical storm during the period Feb 06 2026-Feb 18 2026 in Madagascar, Mozambique. The center of the storm was located near latitude -35.63 longitude 41.6. 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: **1001250\_7 Tropical storm during the period Jan 20 2026-Jan 21 2026 in Madagascar. The center of the storm was located near latitude -23.9 longitude 44.47. 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: **1001254\_24 Tropical depression during the period Jan 29 2026-Feb 04 2026 in Madagascar. The center of the storm was located near latitude -23.41 longitude 54.85. 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 dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Madagascar **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.5261 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.0059 million km (1.113%) - Unpaved roads: 0.0688 million km (13.0681%) About 0.4515 million km (85.8189%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0004 million km (0.0791%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

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**UNOSAT code: TC20220201MDG** This map illustrates satellite-detected surface waters in Farafangana district, Atsimo Atsinanana region, Madagascar as observed from a TerraSAR-X image acquired on 8 February 2022 at 05:27 local time. Within the analyzed area of 2,600km2, a total of about 100 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 22,400 people are potentially exposed or living close to flooded areas.  This is a preliminary analysis and has not yet been validated in the field.  Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Ifotaka commune, Amboasary-Atsimo district, Anosy region, Madagascar as observed from an RCM-2 image acquired on 28 February 2022 at 05:16  local time. Within the analyzed area of about 330 km2, about 13 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 650 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

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**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Mahanoro District, Atsinanana Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 450 km2, a total of about 40 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 3,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Mananjary district, Vatovavy Fitovinany region, Madagascar as observed from a Sentinel-1 image acquired on 27 February 2022 at 05:12 local time. Within the analyzed area of about 200 km2, about 6 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 200 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

This dataset contains OpenStreetMap data exported from the HOTOSM disaster mapping response to Tropical Cyclone Gezani in early 2026 (GLIDE: TC-2026-000015-MDG ). On Tuesday the 10th of February, Tropical Cyclone GEZANI 26 made landfall near the city of Toamasina on the eastern coast of Madagascar as Category 4 cyclone. The cyclone severely damaged homes leading to massive displacements, caused fatalities and injured many. HOT is working in collaboration with Madagascar OSM Community, Malagasy Red Cross, and INGD (Mozambique Disaster Risk Management Institute) to prioritise and coordinate the mapping response. The data has been contributed by volunteers through the Humanitarian OpenStreetMap Team's Tasking Manager and represents buildings and roads in the affected area. It is updated weekly as mapping progresses. Subscribe to this dataset to be notified of any new updates. This dataset includes all OpenStreetMap features in the area of interest for this event, covering: Buildings and Roads. See the list of projects in the Tasking Manager here. For more information see the HOTOSM activation page. As of 27 April 2026: over 2,000 contributors (non unique).

**ADAM ID: 1000961\_60** Cyclone (category 1) during the period Feb 06 2023-Mar 12 2023 in Mozambique, Madagascar. It impacted 1327678 people.

**ADAM ID: 1000957\_6** Cyclone (tropical storm) during the period Jan 18 2023-Jan 29 2023 in Madagascar. It impacted 0 people.

**ADAM ID: 1001040\_10** Cyclone (tropical storm) during the period Dec 31 2023-Jan 03 2024 in Madagascar. It impacted 0 people.

**ADAM ID: 1001057\_8** Cyclone (tropical storm) during the period Mar 25 2024-Mar 28 2024 in Madagascar. It impacted 536830 people.

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Ambohimahasoa, Isandra, Lalangina, And Vohibato Districts, Haute Matsiatra Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed area about 2,000 km2, a total of about 130 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 17,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters over Betroka district, Anosy region, Madagascar observed from Sentinel-1 image acquired on 24 February 2022 at 18:34 local time. The flood analysis were carried out by using an automated analysis with Artificial Intelligence based methods. Within the analyzed area about ~1,000 km2, a total of about 15 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Madagascar administrative level 0-4 boundaries (COD-AB) dataset version 01. This dataset is structured into 4 levels: - Admin 1: 24 Region - Admin 2: 120 District - Admin 3: 1645 Commune - Admin 4: 17465 Fokontany Dates associated with this dataset: - 06 July 2026: dataset reviewed for accuracy and completeness - 10 August 2018: valid for use by the humanitarian community - 10 August 2018: last edit to the dataset before publishing - 01 August 2009: boundaries created by the source Contributed by OCHA Office of the Pacific Islands. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

Madagascar Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2022

Madagascar Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2020

The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Madagascar Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2019

Madagascar Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2021

Madagascar Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2020

**UNOSAT code: TC20220221MDG** This map illustrates satellite-detected surface waters in Iakora and Ivohibe Districts, Ihorombe Region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time. Within the analyzed cloud free zones of about 150 km2, a total of about 28 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: TC20220201MDG** This map illustrates satellite-detected surface waters in Isandra, Lalangina, and Vohibato districts, Haute Matsiatra region, Madagascar observed from a Kompsat5 image acquired on 12 February 2022 at 06:14 local time. Within the analyzed area about 1,700 km2, a total of about 10 km2 of lands appear to be flooded. The water extent appears to have decreased of about 40 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 2,400 people are potentially exposed or living close to flooded areas. This is a preliminary analysis that has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: TC20220201MDG** This map illustrates satellite-detected surface waters in Farafangana district, Atsimo Atsinanana region, Madagascar as observed from Sentinel-1 image acquired of 15 February 2022 at 05:12 local time. Within the analyzed area of about 1,200 km2, about 6 km2 of lands appear to be flooded. The water extent appears to have decreased of about 87 km2 since 8 February 2022. Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

The dataset represents suitable areas for offshore mariculture of yellowfin tuna (thunnus albacares) in Madagascar, produced under the scope of the Hand-in-Hand initiative, 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 of Yellowfin tuna (thunnus albacares). (*) 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:** 2024-01-15 **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 yellowfin tuna (thunnus albacares 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 Web available data 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:** Zipped shapefile for Offshore Mariculture Suitability for Yellowfin Tuna - Madagascar