AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of Damage Assessment of Taiz City, At Ta'Ziah District, Yemen

This map illustrates satellite-detected areas of destruction in the majority of Taiz, Yemen, as seen by the WorldView-3 satellite on 26 June 2015. UNOSAT identified a total of 328 damaged buildings (54 destroyed, 66 severely damaged, 156 moderately damaged, 52 possibly damaged) as well as 410 areas with significant amounts of debris. A total of 11 health centers are possibly damaged as they are within 100 meters of other destroyed or damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Note that satellite imagery analysis will not capture all damage to buildings and instead only detects significant or catastrophic amounts of structural damage. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent and Evolution Over Eastern part of Bangladesh

This map illustrates satellite-detected water extent and evolution in the eastern part of Bangladesh as imaged by the SENTINEL-1 satellite on 30 June 2016 and 24 July 2016. The analysis shows an expansion of waters of 75% between the two dates within the entire analyzed zone. Heavy rains at the onset of the Monsoon season have caused flooding. 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 Surface Waters Extent and Evolution in Northern Quang Binh Province

This map illustrates the satellite-detected surface waters extent and evolution in north of Quang Binh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016.  Within the analysed area, an increase of surface waters extent was observed from the 24 October 2016 image: ~4,400 ha of surface water were observed the 12 October 2016 and reached ~6,400 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 45%. As example, in Tien Lang lake and dam an increase of water surface of 77 ha was observed corresponding to an evolution of ~70% by comparison to the water surface detected on 12 October 2016. 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 Surface Waters in D'joumane/Bongor areas, Chad

This map illustrates the satellite-detected surface water extent over D’joumane/Bongor and surroundings in Chad along the Logone River as observed from the Radarsat-2 SAR image acquired on 5 October 2017. The analysis of the image indicate that localized standing flood water with very little impact on population and agriculture area. Within the analyzed area (11,680 km2), 15,331 ha of surface water extent was observed of which 6667 ha in Chad and 8664 ha in Cameroon. 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 IDP Settlement, M'Poko Airport, Bangui, Central African Republic

This map illustrates satellite-detected IDP shelters and administrative buildings in M'Poko Airport in Bangui, Central African Republic using satellite images acquired on the 20 January, 22 February and 6 June 2014. As of 22 February 2014 approximately 7,789 structures were detected. Imagery from 6 June shows an important decrease in the number of tent shelters present inside of the airport since an extensive area has been significantly cleared of shelters. As of 6 June UNOSAT detected a total of approximately 3193 tent shelters and 61 administrative support and other structures. Compared to previous UNOSAT analysis the number of shelters has decreased by 58.7%. 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)
Bangladesh - Satellite Detected Water Extent in Cox's Bazar District, Chittagong Division

This map illustrates satellite-detected surface water extent in the District of Cox's Bazar, Chittagong Division, located in the southeastern part of Bangladesh after the tropical cyclone Mora-17 using a Sentinel-1 satellite image acquired on the 30 May 2017. A total of 23,058 ha surface waters were observed. In many zones, the affected lands are mainly agricultural. The analysis of this image reveals also that about 234 km of roads mainly tertiary roads seem to be potentially affected. The population exposure analysis using WorldPop data shows that ~267,000 people are potentially affected by floods within map extent. 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)
Tropical Cyclone Maria. Damage Assessment in Southern Dominica

This map illustrates potentially damaged structures and buildings in Southern Dominica as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades image acquired on 23 September 2017 as post imagery. Within the extent of this map UNITAR-UNOSAT identified in the cloud free areas of southern Dominica 2482  potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represent about 80 % of the total number of structures within the analysed area. 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 Estimated Rainfall Accumulation from 30 April to 06 May 2014, Afghanistan

This map presents the estimated total rainfall accumulation for Afghanistan covering the period from 30 April to 06 May 2014. This total estimate was derived from the Tropical Rainfall Monitoring Mission (TRMM) precipitation dataset at a spatial resolution of approximately 0.25 degrees for this region. It is possible that precipitation levels may have been underestimated for local areas, and is not a substitute for ground station measurements.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Haiti - Satellite Detected Surface Waters Extent in Les Cayes and Cavaillon Communes, Sud Department

This map illustrates the satellite-detected water extent in Les Cayes and Cavaillon communes in Sud Department (Haiti) located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 26 April 2017 and a Radarsat-2 image acquired on the 17 May 2016 and could observe areas with standing waters mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 718 ha of flooded areas, which cover ~4% of this map's extent of ~20300 ha of land. The increase of waters within the analyzed zone is about 460%. ~155 ha of surface waters were observed the 17 May 2016 and reached ~873 ha the 26 April 2017. About 9km of roads, mainly local roads are potentially affected. 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)
Damage Assessment in West Santo and South Santo Municipality, Sanma Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in West Santo and South Santo Municipality, Sanma Province, Vanuatu as detected using WorldView-2 satellite images acquired on 17 and 19 April 2020 and a Pleiades satellite image acquired on 27 April 2020. Within the analyzed zone, UNITAR-UNOSAT identified in the cloud-free zones about 3,650 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 63 % 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 over Sanamxay District, Attapeu Province, Lao People Democratic Republic

This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018. The previous day, the Xe-Namnoy dam collapsed, inducing flash floods along the Vang Ngao river and affecting several villages located 50 km downstream. Within the analysed area 14,692 ha of surface waters were detected after the heavy rains that happened on 22 July and as well the collapse of the dam. Several villages and surrounding agricultural fields seems to be inundated.  The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. 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 27 July 2018 over Sanamxay District, Attapeu Province, Lao PDR

This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the TerraSar-X and Tandem-X radar imagery acquired on 27 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the analyzed area, a total of 7,405  ha were detected as inundated, four days after  the collapse of the dam. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. 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 extents, as of 16 August 2019 over White Nile State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Sentinel-2 imagery acquired on 16 August 2019. Within the analysed extent of about 20,000 km2, a total about 1,485 km2 of lands appears to be flooded as of 16 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 waters extent, as of 24 March 2019 over Mashonaland East Province, Zimbabwe

This map illustrates the satellite detected surface waters in Mashonaland East Province, Zimbabwe, as observed from the Sentinel-1 data imageries acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 108,780 ha of surface waters were observed the 12 March 2019. and about of 469,680 ha of surface waters were observed the 24 March 2019. It represents an icrease of 23 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Satellite data (pre-event) : Sentinel-1 
Imagery date: 12 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Satellite data (post-event) : Sentinel-1 
Imagery date: 24 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Boundary data: OCHA ROSEA 
Water body & waterway: COD 
Analysis : UNITAR-UNOSAT 
Production: UNITAR - UNOSAT

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Rapidly assessed damage occurring between 23 February 2018 and 6 March 2018 in Eastern Ghouta Area, Damascus Governorate

This map illustrates satellite-detected damage in the subdistricts of Kafr Batna and Irbin and in the eastern part of Damascus city, Syrian Arab Republic. Using satellite imagery collected 6 March 2018 and comparing with imagery acquired 23 February 2018, UNITAR - UNOSAT conducted a Rapid Damage Assessment, over a total area of 94.7 square kilometers, to provide an overview of areas of recent damage. The area analyzed was divided in cells and each cell was assessed searching for presence of new damage. Our analysis shows that 14% of the cells were affected by major new damage, with presence of buildings completely destroyed or severely damaged between 23 February 2018 and 6 March 2018. In addition 14% of the cells showed signs of minor new damage, with visible impact craters, debris or moderately damaged 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)
Satellite detected water over Garsen Sub County, Tana River County, Kenya

This map illustrates satellite-detected flood water extent over Garsen, Magarini, Malindi and Lamu West Sub Counties, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the extent of the map more than 25,000 ha of land appear to be inundated and around 20,000 people are living inside this flood water extent. Within the map extent, around 13,000 ha of inundated land are located inside Garsen sub county, potentially affecting 5,000 people. 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)
Estimación del número de viviendas y estructuras dañadas en la aldea de San Miguel de Los Lotes y los alreadedores

Este mapa ilustra una estimación del número de viviendas y estructuras potencialmente afectadas por el flujo piroclástico detectado por Copernicus EMS, usando una imagen satélite Sentinel-2 colectada el 4 de junio 2018. UNITAR-UNOSAT ha estimado un total de 411 viviendas / estructuras que se encuentran dentro del área afectada por el flujo piroclástico; de las cuales 260 pertenecen a la aldea de San Miguel de Los Lotes. Complejos industriales y hoteleros como el de La Reunión se encuentran también dentro de la extensión del flujo piroclástico. Este análisis es preliminar y no ha sido validado en terreno. Por favor, envíen sus comentarios a UNITAR-UNOSAT. 

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents, as of 10 Sep 2019 over Salavan Province, Lao PDR

**UNOSAT code: FL20190905LAO**  This map illustrates satellite-detected surface water in Salavan provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 4,000  km2, a total about 4  km2 of land appear to be flooded as of 10 September 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-1 imagery acquired on 10 September 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)
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 satellite images collected by the WorldView-03 satellite on 23 June 2018 and the GaoFen-2 satellite on 24 June 2018, UNOSAT located 11,702 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 12 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 16 January 2018. 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)
Satellite Detected Surface Waters Evolution in Southern Provinces of Kien Giang, Dong Thap & An Giang, Vietnam

This map illustrates the satellite-detected surface waters extent in the southern provinces of kien Giang, An Giang, Dong Thap & Can tho as observed from the Sentinel-1 SAR images acquired on 16 & 28 August 2018. In the analysed area, an increase of surface waters is observed mainly in agricultural and paddy fields 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)
Wildfires in Akkar Governorate (Lebanon) Tartous and Homs Governorates (Syria).

**UNOSAT code: FR20191016LBN**  This map illustrates satellite-detected burned areas in Akkar, Tartous and Homs Governorates, in Lebanon and Syria, based on SPOT-6 imagery acquired on 21 October 2019. Approximately 549 ha of potentially burned areas were detected by UNOSAT as of 21 October 2019 (red). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Wildfires east of Tyre, in South and El Nabatieh Governorates, Lebanon

**UNOSAT code: FR20191016LBN**  This map illustrates satellite-detected burned areas in South and El Nabatieh Governorates, in Lebanon, based on SPOT-6 imagery acquired on 19 October 2019. Approximately 80 ha of potentially burned area were detected by UNOSAT as of 19 October 2019 (red), This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Evolution satellite detected water extent over Sanamxay District, Attapeu Province, Lao People Democratic Republic

This map illustrates the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018 and compared with a Radsarsat-2 image acquired on 10 July 2018. As of 10 July 2018, flooded areas and saturated soils were already visible, due to the heavy rains that happened previously to the collapse of the dam. As well, the reservoir controlled by the dam was full of water. As of 24 July 2018, an additional surface of 5,826 ha of inundated areas were detected, representing an increase of the surface waters of 66%, due to the collapse of the dam. At this date, the reservoir that was controlled by the dam has decreased in its size. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated  along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. 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 of Taipa area in  Central Sulawesi

This map illustrates satellite-detected building damage assessment as of 02 October 2018, over Taipa area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28th of September 2018. The analysis was conducted using a post-event Worldview-2 satellite image acquired 2 October 2018. UNITAR-UNOSAT identified in the analysed area 399 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 10 % of the total number of structures within this analysed zone of Taipa.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)
Satellite detected waters extents, as of 4 March 2020 over  Central, Luapula, Muchinga and Northern Province, Zambia

**UNOSAT code: FL20200305ZMB**  This map illustrates satellite-detected waters in Chitambo, Lunga, Samfya, Lavushimanda and Chilubi District; Central, Luapula, Muchinga and Northern Province of Zambia as observed from Sentinel-1 imagery acquired on 4 March 2020. Within the analysed area of 10,000 km2, a total of about 705 km2 of land appear to be flooded. Based on Worldpop population data and the detected surface waters, about 7,000 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 UNITARUNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Potentially Damaged Buildings & Gathering Sites over Gili Islands, Lombok Utara District, Indonesia

This map illustrates satellite-detected potentially damaged buildings and gathering sites over Gili Islands as of 8 August 2018, after the 6.9 earthquake, that stroke Lombok Island on 5 August 2018. The analysis was conducted using a post-event Pleiades satellite image acquired on 8 August 2018. UNITAR-UNOSAT analysis identified minor damage over Gili Islands, 15 potentially damaged buildings, mainly observed in Gili Air and 6 potentially gatherings sites in Gili Trawangan island. Kindly note that Google Earth was used as Pre-event imagery, it might have decreased the confidence level of the analysis. 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)