AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of Update 2: Al Azraq Refugee Camp,  Az Zarqa Governorate, Jordan

This map illustrates the refugee camp currently under construction in Al Azraq, Jordan using an image collected by the WorldView-2 satellite on 28 December 2013. As of 28 December 2013 a total of 3,174 structures were detected in the camp, 2,431 infrastructure and support buildings and 743 tent structures. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 14 September 2013 detected a total of 2,689 infrastructure, support buildings and shelters. This is an increase of approximately 18%. Paved and unpaved roads have likewise increased significantly and define the transportation network in and around the camp. Water and sanitation services are also under development in multiple camp zones suitable for supporting thousands of proximate shelters. 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 27 Aug 2019 over White Nile State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Radarsat-2 imagery acquired on 27 August 2019. Within the analysed area of about 3,000 km2, a total 176 sq km of lands appear to be flooded as of 27 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 extent, as of 16 and 18 July 2019 over Kachin state,  Myanmar

**UNOSAT code: FL20190715MMR**  This map illustrates the cumulative satellite detected surface waters in Kachin, Myanmar by using a Sentinel-1 images acquired on 16 and 18 July 2019. Over an area of about 370 km2 of lands appear to be likely flooded. By using the population data from Worldpop, total of about 34,000 people appear to have been affected by floods as of 18 July 2019. This is preliminary analysis that has not yet been validated in the field. Please send your comments to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Colombia - Potentially Affected Zones by the Mudflow in Mocoa

This map illustrates areas potentially affected by the mudflow, extracted from a Pleiades and GeoEye-1 satellite images acquired on the 10 April 2017 over Mocoa city and its outskirts, in Putumayo Department, Colombia. Inside some neighbourhoods of the city of Mocoa, flood waters and mudflow have receded compared with previous analysis performed by UNOSAT using an image from 4 April 2017. The situation as of 10 April 2017 reveals: 22 km of roads seem potentially affected and about 1,300 buildings are within areas which are still experiencing floods and mud flow. It is likely that flood waters and mudflow could have been systematically under or overestimated along highly vegetated areas and within built-up urban areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: affected area, geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Gendrasa Refugee Camp, Maban County, Upper Nile State, South Sudan

This map illustrates the Gendrasa 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 8,028 shelters and 145 non-shelter structures as of 06 December 2013. This is an 80% increase in the number of shelters since the previous UNOSAT analysis of the Gendrasa camp which used an image from 03 October 2012 and located 4,334 shelters and 187 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)
Satellite Detected Waters Evolution by Camp Extent in Cox's Bazar District, Chittagong Division, Bangladesh

This map illustrates the evolution of satellite detected waters and the related wet conditions in the Cox's Bazar Myanmar nationals refugee camps located in Ukhia Upazilla, as deduced from the analysis of two Radarsat-2 Spotlight images with 0.5m resolution acquired on 16 June 2018 & 23 May 2018. The evolution of surface waters was classified into three classes of change: low, moderate and high. This analysis shows that some camps experienced a lower increase of wet conditions/surface waters, as camp 1W and camp 2E. Whereas some have moderately changed, as camp 2W, camp 6 and camp 14, others have greatly changed, as camp 17, camp 8W and camp 20 and its extension. 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)
Satellite Detected Surface Waters Extent in Quang Nam Province, Vietnam

This map illustrates the satellite-detected surface waters in Quang Nam Province, Vietnam, as observed from the Radarsat-2 image acquired on 07 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017.  The districts located in the coastal areas have been affected by the floods; especially the ones located in the northern coastal part of the province and more particularly Dien Ban, Duy Xuyen and Thang Binh districts. Even if the province of Quang Nam was not in the passage of the cyclone, ~ 35,000 ha were identified as flooded within the analyzed area (8,700 km2). It represents an increase of about 230% of the surface waters in the analyzed zone. 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)
Preliminary landslide inventory of Freetown, Sierra Leone 18 August 2017

This map shows landslides mapped from satellite imagery following the Regent event on 15 August 2017. The main landslide outline in Regent has been updated from the product released by UNITAR-UNOSAT (published 16 August, version 1.0) using the updated UNITAR-UNOSAT georectification of the satellite image on 17th August.
The main Regent landslide event is 6 km long, including source area and run-out to the sea. It is interpreted as a debris slide in its upper reaches, transitioning to a debris flow and then a sediment-laden flood. The two smaller landslides are interpreted as debris flow events. The analysis has not yet been verified in the field.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents, as of 28 August 2019 over North Al Tura, White Nile State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water North of Al Tura, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 12'700 ha, a total of 3700 ha of lands appear to be flooded as of 28 August 2019. However, the water seems 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)
Shelter density map at Rukban border crossing, Syria-Jordan Border

This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 10 January 2018, UNOSAT located 10,418 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 6.5 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 21 September 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)
Qah IDP settlement shelter density in Dana Subdistrict, Harem District, Idlib Governorate, Syria

This map illustrates density of satellite-detected shelters and other buildings at the Qah Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 18,547 shelters were detected as well as 333 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 73% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 10,898 and the number of infrastructure and support buildings was 48 within the same area.The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. 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-derived flood assessment in Luapula and Northern provinces, Republic of Zambia

**UNOSAT code: FL20200305ZMB**  Status: Floods detected in Lunga district
Further actions(s): monitoring over AOI completed
Preliminary observations, impact and severity:
AOI 1: No satellite-detected waters in Chaba city or its vicinity as of 09 March 2020
AOI 2: Mofu city appears to have no evidences of satellite-detected waters as of 09 March 2020
AOI 3: No satellite-detected waters in Samfya city as of 10 March 2020
AOI 4: Satellite-detected waters northern and eastern part of Ncheta island affecting the agricultural fields nearby as of 07 March 2020


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent, as of 05 May 2019 over Golestan Province, Iran

**UNOSAT code: FL20190321IRN**  This map illustrates satellite-detected surface water in western part of Golestan province, Iran as observed from Sentinel-1A imagery acquired on 10 May 2019. Within the analysed area of about 3,000 sq km, a total 76 sq km of lands appear to be flooded as of 10 May 2019. 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-1A imagery acquired on 10 May 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal


Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 14 July 2020 over Province 2 of Nepal

**UNOSAT code: FL20200708NPL**  This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Radarsat-2 image acquired on 14 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,000 km2, a total of about 50 km2 of lands 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 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Buildings Damage Assessment & Related Density  in Kadavu  Province, Eastern Division,  Republic of Fiji

**UNOSAT code: TC20200408FJI**  This map illustrates potentially damaged structures, buildings and their related density in Kadavu Province, Eastern Division, Republic of Fiji as detected by satellite images acquired on 12 April 2020. Within the Kadavu Province, UNITAR-UNOSAT identified in the cloud free zones 1,003 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 22% 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)
Satellite Detected Surface Waters in Maroantsetra area, Analanjirofo region, Madagascar

This map illustrates satellite-detected flood waters over Maroantsetra area, Analanjirofo region in Madagastcar as observed from the TerraSAR-X radar image acquired on 08 March 2017 compared with to a Radarsat-2 image acquired on 04 May 2014. Several zones seem to be inundated and have experienced an increase of standing waters. These zones are mainly agricultural and/or swamps around the town of Maroantsetra. These waters seem to be the results of the recent heavy rain related also to the cyclone ENAWO-17 which made landfall the 07 March 2017. 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: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Ono-i-Lau, Lau Province, Eastern Division, Republic of Fiji

**UNOSAT code: TC20200408FJI**  This map illustrates potentially damaged structures and buildings in Ono-i-Lau, Lau Province, Eastern Division, Republic of Fiji as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 08 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 10 April 2020. Within Ono District, UNITAR-UNOSAT identified 23 potentially damages structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 8% 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)
Satellite Detected Water Extent in Maguindanao and Cotabato Provinces, Phillipines

This map illustrates the satellite-detected water extent in Maguindanao and Cotabato provinces, Phillipines. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 07 June 2017 and could observe areas with standing waters mainly affecting agricultural fields. Within the map extent, the UNITAR-UNOSAT analysis identified ~34,000 ha of those areas and ~127 km of potentially affected road mainly local roads. 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)
Damage Assessment in the town of Atzala, Municipality of Atzala, State of Puebla, Mexico

This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment of Koeeke Hasan Town and Surroundings, Kermanshah, Iran

This map illustrates satellite-detected damaged and potentially damaged buildings in the town of Koeeke Hasan, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate intense damage across the whole town, particularly in Koeeke Hasan, Koeeke Aziz and Koeeke Mahmod. A total of 1174 structures have been identified as damaged or collapesed across the area extent represented here. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Malo Island, Sanma Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in West Malo and East Malo 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 and 10 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones 1,345 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 45 % 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 in Beit Hanun, Gaza Strip - Occupied Palestinian Territory

This map illustrates satellite-detected damage and destruction in the Beit Hanun area, Gaza Strip, resulting from ongoing violence in the area. Using a satellite image collected 25 July 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 214 destroyed structures, 122 severely damaged structures, and 103 moderately damaged structures. In addition, 32 craters on roads and in agricultural and non-urbanized areas are also visible as of 25 July 2014. Note that a certain portion of the image analyzed by UNOSAT was downsampled, so the confidence level for the analysis in this area is "uncertain" (103 structures). 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 Inundation Near Sar-E Pol, Sar-E Pol Province, Afghanistan

This map illustrates potenital satellite-detected inundated areas and water in and north of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the Pleiades satellite collected 1 May 2014 in response to heavy rainfall occurring on 23-24 April 2014. UNOSAT extracted areas of water and inundated soils to indicate likely flood affected lands. This map includes both permanent water bodies, such as streams, and potential flood waters together due to limitations in source data. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. 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)
Geodata of Neighborhood Damage Percentages, Aleppo, Syria

This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Based on this analysis, in 12 neighborhoods the number of damaged buildings is more than 20%, and the neighborhood with the most damage is al Aqabeh, with 42,53% of buildings damaged. 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 East of Khartoum City, Khartoum State, Sudan

This map illustrates satellite-detected areas of flood affected land as detected in satellite imagery acquired by the TerraSAR-X satellite on 10 August 2014 in Khartoum State, Sudan. The area surrounding Khartoum City was inundated by floods caused by heavy rains. The area to the northeast of Khartoum City is affected by varying levels of water and/or saturated soils. 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 characteristics of the satellite data used. 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)
Geodata of Shagarab 2 Refugee Camp, Al Qadarif Province, Sudan

This map illustrates satellite-detected structures at the Shagarab 2 refugee camp in al Qadarif Province, Sudan as seen on 09 December 2013 by the WorldView-2 satellite. This camp lies about 76 km South-East of New Halfa and 100 km North-East of Al Qadarif city. UNOSAT analyzed a total of 4,606 structures in the 218 ha of the camp. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.


Tags: geodata, populated places-settlements
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Atacames area, Esmeraldas Province, Ecuador

This map illustrates satellite-detected potential damaged structures in the city of Atacames in Esmeraldas Province, Ecuador, approximately 55 km north the 16 April 2016 Muisne earthquake mainshock epicenter. Using a Pléiades satellite image acquired 18 April 2016 and a WorldView-2 image acquired 18 August 2013, UNITAR - UNOSAT identified 58 potentially damaged structures of which 11 were destroyed, 14 severely damaged, and 33 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)