AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of Damage Assessment of Muisne, Esmeraldas Province, Ecuador

This map illustrates satellite-detected, potential damaged structures in Muisne, Esmeraldas Province, Ecuador. The analyzed area is located approximately 30 km north of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is carried out using Pléiades satellite image acquired 20 April 2016 and a WorldView-3 image acquired 12 March 2016. UNITAR-UNOSAT identified 450 potentially damaged structures of which 139 are destroyed, 206 severely damaged, and 105 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Kyautaw area, Rakhine State, Myanmar

This map illustrates satellite-detected flood waters over north Rakhine State, Myanmar, in the areas of Kyauktaw and Ponnagyun and Rathedaung townships, as imaged by the Radarsat-2 satellite on 17 August 2015. Waters along the Kaladan River have expanded and inundated lands on either sides of the river bank. Total surface area covered with water in the analysed area has increased from a pre-flood level of 4% to 8% during the flood period, and as of 17 August 2015 a total of ~55,000 ha of lands were affected. Due to sensor limitations, flood waters could be underestimated in urban areas and areas covered with vegetation. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in Sylhet Division, Bangladesh

This map illustrates satellite-detected surface water extent in the northeastern part of Bangladesh using a Sentinel-1 satellite image acquired on the 15 June 2018. In the analysed area;  about 500,000 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 3,500,000 people are potentially affected by floods in this analysed zone: ~1,500,000 are located in Sylhet Division and ~1,000,000 in Sumanganj Division and about 35% of the population is leaving within or close to inundated areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Kayin and Mon State, Myanmar

This map illustrates satellite-detected flood waters in the region of Kayin and Mon State in the areas of Papun, Bilin, Hlaingbwe, Thaton, Pa-An, Paung, Moulmein, Kyaikmaraw, and Kya In Seikkyi townships of Myanmar as imaged by the Sentinel-1 satellite on 6 August 2015. Waters along the Salween River have expanded and inundated lands on either sides of the river bank. Total surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 10% during the flood period, and as of 6 August 2015 a total of ~230,000 ha of lands were affected. Most of the affected lands north of Letpan town seem to be mainly agricultural fields, many of which are of course frequently inundated at other times as well. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of UPDATE: IDP Shelter density in Daynile and Dharkenley District, Mogadishu, Somalia

This map illustrates IDPs structure density in the Daynile and Dharkenley districts in Mogadishu, Somalia, as detected in a Pleiades satellite image collected on 9 October 2014. UNOSAT analysis detected a total of 34,806 IDPs structures in these areas, which includes 14,655 temporary housing structures, 213 tukul-style structures, 4,428 shelters and 15,510 buuls. It is likely that subtle differences between temporary housing structures and shelters will lead to significant confusion between those two classes, though the overall structural count is accurate. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Impact des Feux de Forêts dans les Wilayas de Médéa et d'Ain Defla

Cette carte illustre les zones d'incendies observées à partir d'images satellites Sentinel-2 couvrant des secteurs à l'ouest et à l'est des wilayas de Médéa et d'Ain Defla dérivées des images Sentinel-2 du 12 juillet 2017 et du 09 Juillet 2017. Sur l'emprise de cette carte, environ 3353 ha semblent avoir brulé, essentiellement dans les communes de Ouled Antar (1154ha) et Ouled Bouachra (854 ha) dans la wilaya de Médéa et 335ha incendiés dans la commune d'Oued Djemaa dans la wilaya d'Ain Defla. La surface totale incendiée pourrait être sous-estimée étant donné que certaines zones semblent avoir déjà subi des incendies. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires à UNITAR-UNOSAT.

Tags: climate hazards, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 23 October 2019 over Unity, Jonglei and Lakes State of South Sudan

**UNOSAT code: FL20191023SSD**  This map illustrates satellite-detected surface water in Unity, Jonglei and Lakes State of South Sudan as observed from Sentinel-1 imagery acquired on 23 October 2019. Within the analysed extent of about 85,000  km2, a total about 1,180 km2 of land appear to be flooded. 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 Sentinel-1 imagery acquired on 23 October 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Shelters at Hadalat Border Crossing, Jordan-Syria Border

This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 29 April 2016, UNOSAT located 1,869 probable shelters within the 76.5 ha of the camp. This is a 587% increase in shelters since the previous UNOSAT analysis done using an image collected 29 January 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Feux de Forêts dans les Wilayas Boumerdès et Tizi Ouzou, Algérie

Cette carte illustre les zones d'incendies observées à partir d'images satellites Sentinel-2 couvrant des secteurs des wilayas de Tizi Ouzou et Boumerdès en utilisant une différence de ratios de brûlure normalisé (NBR) dérivée des images Sentinel-2 du 29 Juin 2017 et du 09 Juillet 2017 ainsi que les foyers d'incendies détectés entre le 01 Juillet et le 13 Juillet 2017 à partir des données MODIS. Sur l'emprise de cette carte, environ 113ha de zones végétalisées semblent brûlées principalement des zones forestières. 35 foyers incendiés ont été détectés durant cette période. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires à UNITAR-UNOSAT.

Tags: climate hazards, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Over Shabelle & Afder Zones, Somali Region, Ethiopia

This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800  people are potentially affected  or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.  

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent in Maheshkhali, Chakaria and Cox'S Bazar Sadar Upazilas

This map illustrates satellite-detected surface water extent around Maheshkhali, Chakaria and Cox'S Bazar Sadar Upazilas in the District of Cox's Bazar, Chittagong Division in the south eastern part of Bangladesh as detected by a TerraSAR-X image acquired on the 1st June 2017. A total of ~20,000 ha of lands seem to be affected with flood waters. Some of the affected lands are mainly agricultural fields. The analysis of this satellite image reveals also that about 100 km of roads with mainly tertiary roads seem to be also potentially affected. We can also estimate, within this map extent and using the WorldPop data, about 265,000 people living in flood affected zones. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of IDP Camp in Melut, Upper Nile State, South Sudan

This map illustrates IDP settlements in Melut, Upper Nile State, South Sudan. Using high-resolution imagery optical satellite imagery collected by the WorldView-3 satellite on 2 December 2014, UNOSAT located 3,587 IDP structures (3,005 shelters and 582 Tukuls). The 6 distinct IDP settlements identified by UNOSAT occupy a total area of 86.09 ha. Of these, a total of 214 IDP structures are found within the Melut UNMISS Base, covering a total area of 1.84 ha. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents, as of 28 August 2019 over Aljammalab region, White Nile State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water over Aljammalab region, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 14,000 ha, a total of 7,200 ha of lands appear to be flooded as of 28 August 2019. Waters seem to have retracted from the settlement as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water over  Belet Weyne Town

**UNOSAT code: FL20200428SOM**  This map illustrates the flood-affected sectors of Beletweyne town in Hiraan Region, Somalia as detected from the analysis of an ICEYE satellite image acquired on 16 May 2020. Within the analysed area of about 30 km2, a total of 8 km2 of land appear to be flooded in BeletWeyne town and surroundings. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water over Belet Weyne District,Hiraan Region, Somalia

This map illustrates satellite-detected flood water extent over the district of Belet Weyne, Hiraan region, Somalia using a SAR image from 06 May 2018 and an optical VHR image over Beledweyne town. More than 2800 km2 of lands were assessed and about 19,000 ha (190km2) appear to be inundated which corresponds to about to about 7% of the total analysed zone. In this analysed area and according to WorldPop data the population is estimated to ~126,000 people, ~ 32,000 live in the flooded zone and about 70,000 within 100 meters distance from the flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Satellite Detected Waters in Savu Area, Naitasiri Province, Central Division, Fiji

This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
UNOSAT Geospatial Data on Floods in Mozambique - March 2019

This data illustrates the satellite detected surface waters in Manica, Sofala, and Tete Provinces in Mozambique, as observed from Sentinel-1 imagery acquired on 13, 14, 19 and 20 March 2019.

Tags: cyclones-hurricanes-typhoons, flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Syrian Arab Republic - Shelter density map at Rukban border crossing

This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-3 satellite on 29 April 2017, UNOSAT located 8,382 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 22.9 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 17 February 2017. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Sudan - Evolution of Possible Flood Water & Saturated Soil Over Khartoum City, Khartoum State

This map illustrates evolution of satellite detected waters over the central part of Khartoum City, Sudan, extracted from TerraSAR-X imagery (3 m) acquired on 11 August 2016 and SPOT-7 on 15 August 2016 (1.5 m). During this period, it has been observed that the water expansion is predominantly located in areas along Nile river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows water expansion on the right bank of the Blue Nile and on the left and right banks of the White Nile. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Buildings Damage Assessment & Related Density in South of Sanma Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in south of Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis identified about 5,200 potentially damaged structures in the analysis extent across the south of Sanma province within the cloud free areas. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 33% of the total number of structures/buildings within the analyzed cloud free areas. Please note that some areas could not be analyzed due to the cloud cover. Total and final estimates by municipality are summarized in the table below.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Luganville Municipality, Sanma Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in Luganville Municipality, Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 7 April 2020 as post event image. Within the Luganville Municipality boundary, UNITAR-UNOSAT identified in the cloud free zones 1,972 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 35 % of the total number of structures within the analyzed cloud free areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Deir Ez Zor, Deir Ez Zor Governorate, Syria

This map illustrates satellite-detected damage  in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired  10 May 2015, 13 May 2014, 24 October 2013, and 06 December 2010, UNITAR - UNOSAT identified a total of 3,299 affected structures within the extent of this map. Approximately 490 of these were destroyed, 1,120 severely damaged, and 1,689 moderately damaged. The city-wide analysis of Deir Ez Zor revealed a total of 3,416 affected structures, of which 534 were destroyed, 1,144 severely damaged, and 1,738 moderately damaged. While much of the city was damaged by 13 May 2014, 333 structures were newly damaged and 70 structures experienced an increase in damage between that date and 10 May 2015. This analysis was done of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment & Related Density in the Southeastern Part of Dominica

This map illustrates potentially damaged structures and buildings in the southeastern part of Dominica (St. Patrick & St. David Parishes) as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 1304 potentially damaged structures within the extent of this map. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 56 % of the total number of structures within the analysed cloud free areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage assesment in the city of Bor, Jonglei State, South Sudan

This map illustrates satellite-detected areas of destruction in the town of Bor as seen by the WorldView-1 satellite on 19 January 2014. UNOSAT identified a total of 1,962 destroyed residential and related structures and a total of 93 warehouse or commercial structures were identified throughout the area analyzed, with the heaviest damage in the downtown area of government buildings. The destroyed structures comprise an estimated 8.4% of the total number of pre-conflict structures in Bor. This analysis covers only the period from 25 December 2013 to 19 January 2014 and damage occurring before that time may not have been identified. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Doro Refugee Camp, Maban County, Upper Nile State, South Sudan

This map illustrates the Doro Refugee Camp in Maban County of Upper Nile State in South Sudan. Using high-resolution optical satellite imagery collected by the WorldView-2 satellite, UNOSAT located a total of 16,042 shelters and 421 non-shelter structures as of 14 December 2013. This is a 12% increase in number of shelters since the previous UNOSAT analysis of Doro camp which used an image from 13 January 2013 and located 14,288 shelters and 202 non-shelter structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Wunthou IDP Site, Awerial County, Lakes State, South Sudan

This map illustrates satellite-detected shelters and other buildings at Minkaman IDP Site, as seen by the WorldView-1 satellite on 10 May 2014. People displaced from the fighting around Bor have established in different IDP Sites at Minkaman, in Awerial County, Lakes state, in South Sudan. Note that the camp occupied areas along the western bank of Nile River including 393 shelters approximately. A larger settlement is nearby in and around the town of Minkaman, about 17 kilometres to the south. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Zambezia Province, Mozambique

This map illustrates satellite-detected flood waters in the Maganka Da Costa, Namacurra and Mocuba Districts of Zambezia Province, Mozambique, as detected by Radarsat-2 imagery acquired 18 January 2015. Between 11 and 18 January 2015 flood waters affected roughly 85,000 hectares of land, with inundated areas increasing approximately 800% from pre-flood areas, particularly in the coastal part of Mangaja Da Costa District. About 41 villages are located within the flooded zone, and according to the World Population database around 73,000 people are located within these potentially affected areas.  This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters over central part of Kassala State, Sudan

This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)