AndreaBozzo/ceres-open-data-index huggingface dataset:
Análisis de edificaciones visualmente dañadas en la ciudad de Mocoa, Colombia

Posterior al deslizamiento de tierra que sembró el caos en la ciudad de Mocoa (Departamento de Putumayo, Colombia) el 31 de marzo de 2017 como consecuencia de las fuertes lluvias, el International Charter Space & Major Disasters fue activado bajo la petición de la Unidad Nacional para la Gestión del Riesgo de Desastres, IDEAM. En respuesta a la emergencia, UNITAR-UNOSAT ha llevado a cabo análisis visible de daño en las edificaciones causado por el deslizamiento de tierra, usando imágenes satelitales de alta resolución. Este mapa ilustra edificaciones dañadas detectadas en imágenes satelitales y la densidad de daño asociada en la ciudad de Mocoa y sus alrededores. El análisis ha sido conducido utilizando como imágenes post emergencia las adquiridas por los satélites Pleiades y GeoEye-1 el 7 y el 10 de abril de 2017 y como imágenes pre emergencia las adquiridas por los satélites WorldView-2 y WorldView-1 en las fechas del 21 de diciembre de 2016 y 26 de diciembre de 2013.  El resultado del análisis conducido por UNOSAT revela un total de 1,082 edificaciones dañadas, de las cuales 736 aparecen como destruidas en la imagen o arrastradas por el deslizamiento de tierra y 346 presentan daño severo. Debido al acusado ángulo y la cobertura de nubes de las imágenes satelitales, UNITAR-UNOSAT ha utilizado orthophotos colectadas por Corpoamazonia como fuente auxiliar de validación del análisis realizado con las imágenes satélites. Las orthophotos y otros datos secundarios fueron provistos por OpenStreetMap & la Unidad de Mapeo Humanitario y UMAIC (Unidad de Manejo y Análisis de Información de Colombia), quienes también han provisto apoyo en la coordinación y gestión de la información durante esta emergencia. Por favor, note que el número de estructuras dañadas ha podido ser infra-estimado como consecuencia de los parámetros de las imágenes satelitales utilizadas. Este es un análisis preliminar que aún no ha sido validado en el terreno. Por favor, envíen sus comentarios a UNITAR-UNOSAT.

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment in Marcounda Sub-Prefecture, Central African Republic

This map illustrates locations of destroyed structures in the area of Marcounda Sub-Prefecture in the Central African Republic. Using satellite images acquired 21 June, 23 June & 7 July 2014, UNOSAT reviewed almost 4,500 square kilometers of Marcounda to locate signs of destroyed structures. An estimated 3,840 damaged structures are visible across 50 distinct locations in the sub-prefecture. Destruction in many cases was likely due to arson based on appearance of structural remains. In addition, it appears violence and destruction continued between 21 June and 7 July, and heavy rains apparently caused significant damage to structures as well. Overall, UNOSAT estimates that approximately 40% of structures in Marcounda Sub-Prefecture have been completely destroyed and many others are likely damaged to some degree. 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)
Preliminary Satellite Based Damage Assessment Report - UPDATE 3: Grand Anse and Sud Départements, Haiti

This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering Area 1 (Jeremie and Roseaux Commune), Area 2 (Abricot, Dame-Marie, Anse d'Hainaults and Les Irois Communes), Area 3 (Corail, Pestel, Beaumont and Roseaux Communes), and Area 4 (Tiburon Commune) for a total area of approximately 1,200 Km2.
Building damage analysis, including a rapid assessment of transportation network conditions and locations of spontaneous people gathering sites, was conducted by comparing the post-disaster satellite images (Pleiades acquired on 7/10/2016 for AOI1, Pleiades acquired on 12/10/2016 for AOI2, Pleiades acquired on 09/11/2016 for AOI3 and Worldview-2 acquired on 9/10/2016 & 17/10/2016 for AOI4) with available pre-disaster images (WorldView-1 on 08/12/2014, 01/05/2015, 09/05/2015 and 16/06/2015; Worldview-2 on 17/07/2016, 28/11/2014 and 14/06/2015 and Worldview-3 on 17/10/2015).
UNOSAT's preliminary analysis shows a total of 40,696 buildings/structures with visible damages and approximately 508 locations with visible road obstacles and/or access constraints. In addition, 1,497 temporary people gathering sites have been identified within the analysed areas (Area 1, Area 2, Area 3 and Area 4).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Sudan - Possible Flood Water & Saturated Soil Over Khartoum Area, Khartoum State

This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. 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)
Satellite Detected Water Extent and Evolution Over Central Bangladesh

This map illustrates satellite-detected water extent and evolution in Dhaka and Rajshahi divisions of the Central 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. 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)
Geodata of IDP Settlements and Shelters in Kismayo, Lower Juba, Somalia

This map illustrates probable IDP shelter in Kismayo, Somalia as seen in satellite imagery collected by the WorldView-1 satellite on 5 March 2014. In this area UNOSAT located 1,969 shelters in 57 apparent IDP settlements. However, poor image quality, density of shelters, and varied construction material introduces significant uncertainty into this analysis. The IDP settlement areas were also compared to an image from 11 August 2013 collected by the Pleaides satellite to give indications on whether settlements were new, had closed, or were increasing or decreasing in size. 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 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: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of IDP Settlements in Wau Shilluk, Upper Nile State, South Sudan

This map illustrates satellite-detected areas of IDP structures and structures in Wau Shilluk, Upper Nile State, South Sudan using WorldView-02 data recorded 17 February 2014 and 06 December 2013. An estimated 1,157 new structures have been detected between 06 December 2013 and 17 February 2014 along the White Nile River. This is a preliminary analysis & 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 Damage Assessment over Tuikhingzang, Tonzang Township, Chin Division, Myanmar

This map illustrates satellite-detected damaged structures over Tuikhingzang town, Tonzang  township, Chin Division, Myanmar. After a reported landslide induced dam that ruptured on 28 August 2015, UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and identified an area severely affected by a mudslide. Wide agricultural areas appear affected and the town of Tuikhingzang is partially covered by mud. UNOSAT identified a total of 141 destroyed structures and 48 severely damaged structures in the area. Local roads are also affected and a bridge has been completely destroyed. In addition two IDP settlements are visible 1 and 3 km northeast of the town and a total of 260 possible tent shelters were identified. This is a preliminary 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)
Satellite detected waters extents, as of 28 August 2019 over  Khartoum State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water in Khartoum State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 3,200 km2, a total about 97 km2 of lands appear to be flooded 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 extent as of 6 July 2020 over Province 1 and 2 of Nepal

**UNOSAT code: FL20200708NPL**  This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Sentinel-1 image acquired on 6 July 2020. Within the analyzed area of about 2,700 km2, a total of a bout 76  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 Sentinel-1 imagery acquired on 6 July 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties

Tags: flooding, 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: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water along Tana River, Bura ub county, Tana River county, Kenya

This map illustrates satellite-detected flood water extent along Tana River, Bura Sub County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana and the surrounding land between the primary road and the limit of the Tana River boundary, specifically were the population is concentrated. Within the analysis extent, more than 9,100 ha of land appear to be inundated and more than 9,800 people are living inside this flood water extent. 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 Surface Waters Extent in Binh Dinh Province

This map illustrates the satellite-detected surface waters in Binh DinhNam Province, Vietnam, as observed from the Sentinel-1 image acquired on 10 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 southern coastal part of the province and more particularly Phu Cat, An Nhon, Tuy Phuoc and Qui Nhon districts. Around 17,000 ha of lands were identified as flooded within the province of Bihn Dihn. It represents an increase of ~140 % of the surface waters in the analyzed zone. In this analyzed area and according to the WorldPop data, more than  100,000 people are potentially exposed to flood waters. 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 Shelter Density map at Rukban Border crossing, Jordan-Syria 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 Demios-2 satellite on 26 June 2016, UNOSAT located 7,925 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 24 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 23 May 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)
Damage Assessment in the town of Coatetelco, Municipality of Miacatlan, State of Morelos, Mexico

This map illustrates satellite-detected, potentially damaged structures in the town of Coatetelco, Miacatlan Municipality, Morelos State, Mexico. The analyzed area is located approximately 90 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 500 potentially damaged structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 17 January 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)
Time series: evolution satellite detected water extent over Sanamxay District, Attapeu Province, Lao PDR

This map illustrates a time series analysis of the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, based on satellite data collected on 13, 25 and 29 July 2018. Within the current map extent, on 13 July 2018, before the collapse of the dam, a total surface of 47,717 ha was detected as inundated and the reservoir controlled by the dam was full of water. As of 25 July 2018, two days after the dam collapsed, an additional surface of 7,531 ha of inundated areas were detected, representing an increase of the surface waters of 16%. On 29 July 2018, floodwaters are receding, especially along the riverbanks of Xe Kong River. A total surface of 30,435 ha was detected as inundated at that date, representing a decrease of the surface waters of 45%. The reservoir that was controlled by the dam has continuously decreased in its size since the dam collapsed. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. Additional optical VHR data are needed to validate analysis over areas covered by mud, hardly detected by radar 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)
Satellite Detected Waters Extent Over Northwestern Rakhine State, Myanmar

This map illustrates satellite-detected flood waters in the northwestern part of Rakhine State in the townships of Kyauktaw, Mrauk-U and Ponnagyun, Myanmar as imaged by the SENTINEL-1 satellite on 14 July 2016. Heavy rains at the onset of the monsoon season have caused flooding. The most affected lands seem to be mainly agricultural and/or paddy 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: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Fire Detections in Buthidaung, Maungdaw, and Rathedaung Townships of Rakhine State in Myanmar

This map illustrates areas of satellite detected fires in Buthindaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite- fire detections collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on multiple dates from 25 August to 25 November 2017. A total of 171 fires were detected in different areas across Rathedaung, Buthindaung and Maungdaw townships during this period. While fire detections were spread out across the entire period analyzed, some notable clusters occurred on 28 August, 29 August, 3 September, 15 September, 25 September, 9 October, and 6 November, as indicated in the map. Days of peak fire detection occurred on 28 August and 15 September as indicated in the chart. Note that due to cloud cover and satellite overpass times many fires occurring in the area during this period would not have been detected, and are generally only detected if the satellites are overhead while the fire is sufficiently active and clouds are not interfering. 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 IDPs in UNMISS Base, Bor, Jonglei State, South Sudan

This map illustrates satellite-detected areas of IDPs in Bor UNMISS Base and Protection of Civilian (PoC) areas, in Jonglei state, as seen by the WorldView-3 satellite on 8 October 2015. The IDP structures were moved from the old PoC area in the northeast of the base to the new PoC area found in the south, and currently all the IDP shelters are now entirely in the southern extension of the UNMISS base. There are currently 1,077 structures in the IDP settlement with 101 consisting of infrastructure buildings and 976 of shelter structures. A large part of the camp still remains unoccupied and this can be seen as the Contingency area. 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 and damage assessment over the northern part of Ncheta, Zambia

**UNOSAT code: FL20200305ZMB**  This map illustrates satellite-detected water extents in the northern part of Ncheta Island, Lunga District, Luapula Province, Republic of Zambia as observed form Pleiades imagery acquired on 7 March 2020. Within the analyzed area, a total of about 100ha of land appears to be flooded and 115 structures are completely flooded which represents about 20% of total structures in this 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)
Satellite detected water and IDP distribution over  Belet Weyne Town

**UNOSAT code: FL20191030SOM**  This map illustrates the satellite-detected flood water extent and IDP distribution within the town of Belet Weyne in Belet Weyne District, Hiiran Region, Somalia. The analysis was conducted by analyzing WorldView-1 images acquired on the 1 November 2019. As observed from the satellite image, the town of Belet Weyne is heavily affected by floods. Around 60% of the vicinity of the town is completely inundated; the districts of Hawa tako, Kutimbo, and the Lamagalay Regional Millitary Base completely submerged in water. More than 110 IDP sites are located inside of the town and 40% of them are located within completely flooded areas. 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)
Damage Assessment in CanalFanafo, Luganville and South East Santo Municipalities, Sanma Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in Canal-Fanafo, Luganville and South East Santo 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, 8 and 9 April 2020 as post event images, Within the analysis extent, UNITAR-UNOSAT identified in the cloud free zones 3,490 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian 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)