UN Operational Satellite Applications Programme (UNOSAT)
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  • This map illustrates satellite-detected damage density at and around the city of Yei, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of about 6,300 destroyed structures within the area of the current map (approximately 700 square kilometers). Most of the damage is concentrated in the outskirts of the city. The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density along the road connecting the cities of Morobo and Koya, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of around 7,800 destroyed structures within the analysis extent of the current map (approximately 600 square kilometers). The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Following a large mudflow that hit the city of Mocoa (Department of Putumayo, Colombia) on 31 March 2017 as a consequence of the heavy rains, the International Charter Space and Major Disasters has been activated upon the request of the National Unit for Disaster Risk Management (UNGRD) / Unidad Nacional para la Gestion del Riesgo de Desastres, IDEAM. In response to this emergency, UNITAR-UNOSAT has carried out satellite based damage analysis to assess (visible) building structural damage caused by mudflows. This map illustrates satellite-detected damaged structures including building damage density in Mocoa city and its surroundings. Analysis has been undertaken by using post satellite imagery acquired by Pleiades and Geoeye-1 satellites on the 7 and 10 April 2017 and pre satellite images acquired by Worldview-2 & 1 satellites on the 21 December 2016 and 26 December 2013. As result of UNOSAT satellite analysis, a total of 1,082 buildings were detected as damaged of which 736 observed as destroyed or washed out by mudflow and 346 observed as severely damaged. Due to the pronounced incident angle and cloud cover of the satellite images, UNITAR-UNOSAT has also used orthophotos collected by Corpoamazonia in order to validate satellite based analysis. Orthophotos and additional baseline data were provided by OSM Humanitarian Mapping Unit and UMAIC (Unidad de Manejo y Analisis de Informacion de Colombia) who is also providing information management coordination support for this event. Kindly note that the number of damaged structures could have been underestimated due to the parameters of the images. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • This map illustrates satellite-detected damage density in and around the cities of Yei, Morobo and Koya, Nahr Yei district, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of 18,318 destroyed structures within an analysed area of about 3,640 square kilometers. Approximately 10'449 affected structures are found within Yei and along the four primary roads radiating from the city. About 7,870 destroyed structures are found along the road connecting the cities of Morobo and Koya. Most structures appear to be destroyed by fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected water bodies and inundated areas in Mocoa city, Putumayo department in Colombia as seen on Resourcesat-2 satellite imagery collected 04 April 2017. Heavy rainfall in the area caused flooding, landslides and mudflow that affected the city. UNOSAT extracted a water index from the satellite image to determine areas of standing water as well as soils with varying levels of water content (i.e. mud). Within the city of Mocoa and the current map extent, about 18 km of roads are potentially affected. About 2900 buildings are within areas which experienced floods and mudflow. 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.
  • 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.
  • This map illustrates the satellite-detected waters extent south of Urmia Lake in the county of Mahabad in West Azerbaijan province of Iran as observed from the Landsat-8 image acquired on 16 April 2017. Within the area of 21,000 ha covered by this map; 2,970 ha of lands appear to be potentially affected which corresponds to 13% of the analyzed area. The flooded areas appear to be mainly agricultural zones and about 8 km of roads seem to be potentially affected. Please note that some areas were cloud covered and could not be analyzed.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 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.
  • This map illustrates the satellite-detected surface waters extent and evolution over Oponono Lake; a large wetland fed by the Culevai Oshana, in Oshana region, Namibia, as observed from the Sentinel-1 images acquired on 02 and 14 March 2017. An increase of surface water extent was detected in the 14 March 2017 image, particularly in the upstream part of the lake: ~4,130 ha of surface water were observed the 02 March 2017 within the lake area and reached ~10,820 ha the 14 March 2017 corresponding to an evolution of about 160%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected water extent as of 10 March 2017 over Antsahanoro commune, Antalaha district in Madagascar as detected by TerraSAR-X. As of 10 March 2017, ~ 335 Ha of land over Antsahanoro commune seem to be inundated and have experienced an increase of standing waters. These zones are mainly agricultural and/or swamps in the commune of Antsahanoro. 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.
  • This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 13 March 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 25 February 2017, indicating the Mosul fires in white. The inset on the top left corner, from 5 March 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood waters extent and evolution between 08 and 10 March 2017 over Maroantsetra area, Analanjirofo region in Madagascar as detected by TerraSAR-X radar images acquired on 10 and 08 March 2017. Between 08 and 10 March 2017 and within this map extent, waters receded from about 4,270 ha of lands. Many areas within this zone remain affected and ~6,230 ha of lands were still flooded on the 10 March 2017 whereas ~10,500 ha of lands were flooded the 08 March 2017. It corresponds to about 40% decrease. 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.
  • 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.
  • This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the WorldView-3 satellite on 04 March 2017, UNOSAT located 1,553 probable shelters. This is a 1% increase in shelters since the previous UNOSAT analysis done using an image collected 24 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.
  • 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-2 satellite on 17 February 2017, UNOSAT located 6,460 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 0.3 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 03 December 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.
  • This map illustrates satellite-detected areas of displaced persons shelters in the Dalxiska settlement, north of Kismayo, Lower Juba, Somalia. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 08 September 2016 revealed a total of 2,426 shelters as well as 200 infrastructure and support buildings within the compound. A new shelter zone, labeled camp 2 on the map, is possibly planned north of the main settlement. To the south, camp 1 extends into the town of Dalxiska, often blending in to the city structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected flood waters over Save River in Mozambique as observed from the Radarsat-2 images acquired on 17 February 2017 and 05 February 2017. A decrease of surface waters was observed in the 17 February 2017 image compared to the 05 February 2017 image along the Save river. 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.
  • The Tropical Cyclone Dineo-17, is approaching Mozambique coasts and is expected to make landfall The 16 February 2017 in the central province of Inhambane. Potential heavy rainfall are also expected according microwave satellite sensors and might induce flooding in the affected areas. This report provides an analysis on the potentially exposed population per wind speed zones in Mozambique. According to our analysis approximately 250,000 people in Mozambique may be exposed to over 120km/h sustainable wind speeds and 59,000 people might be exposed to 90km/h wind speed. About 1,160,000 people might be exposed to moderate winds of 60km/h.
  • This map illustrates satellite-detected fires and environmental damage at and around Al Qayyarah, approximately 60 Km south of Mosul, Iraq. The main frame shows fires and the oil spill as seen in imagery collected between 23 December 2016 and 24 January 2017. Marked in blue are fires that were detected in 23 December 2016 but appear inactive as of 24 January 2017. Insets on the left show the oil spill north of Al Qayyarah, detected with both radar and optical imagery from multiple dates. As seen in the imagery, the oil spill is very close to one of the streams which is incidentally a tributary to the Tigris River; therefore, it is possible that oil is spilling to the river. The spectral signature from thermal imagery also suggest that areas of the oil spill are on fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 24 January 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 24 January 2017, indicating the Mosul fires in white. The inset on the top left corner, from 21 January 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 4,595 affected structures within the city. Approximately 786 of these were destroyed, 1,386 severely damaged, and 2,423 moderately damaged. While much of the city was damaged by 10 May 2015, 1,344 structures were newly damaged and 67 structures experienced an increase in damage between that date and 25 May 2016. This analysis does not include pre-war military bases and facilities. This analysis was done as part 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.
  • This map illustrates satellite-detected damage east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part 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.
  • This map illustrates satellite-detected damage density east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part 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.
  • This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 16 April 2016, 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 1180 affected structures, of which 217 were destroyed, 400 severely damaged, and 563 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 04 June 2015 and 190 structures are newly damaged. This analysis was done as part 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.
  • This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 990 affected structures, of which 152 were destroyed, 358 severely damaged, and 480 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 1 May 2014 and approximately 618 structures are newly damaged. This analysis was done as part 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.