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  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 9 August 2018
    Dataset Added on HDX [?]: 9 August 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 9 August 2018
    Dataset Added on HDX [?]: 9 August 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 9 August 2018
    Dataset Added on HDX [?]: 9 August 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 9 August 2018
    Dataset Added on HDX [?]: 9 August 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 28 August 2018
    Dataset Added on HDX [?]: 27 July 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: July 26, 2018-July 26, 2018 ... More
    Modified [?]: 28 August 2018
    Dataset Added on HDX [?]: 27 July 2018
    This dataset updates: Never
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: July 17, 2018-July 17, 2018 ... More
    Modified [?]: 20 July 2018
    Dataset Added on HDX [?]: 20 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected landslide and flood water extent in Peshghor village and surrounding areas in Khenj District, Panjshir Province, Afghanistan as seen on Sentinel-2 satellite imagery, 10 m resolution, collected on 13 July 2018, one day after the disaster happened. The landslides and floodwaters hit villages downstream because of the break-up of the natural banks of the dam. As a result, Peshghor and surrounding villages have been cut off and damages have been reported on structures and buildings. Within the current map extent Saricha primary road is potentially affected by the landslides and the overflow of Panjshir River. Around 198 buildings are located within areas affected by the landslide and 9 within areas affected by the floods. Due to the resolution of the satellite imagery, the extent of landslide and floodwaters may be underestimated and as a consequence, the number of buildings potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: July 13, 2018-July 13, 2018 ... More
    Modified [?]: 16 July 2018
    Dataset Added on HDX [?]: 16 July 2018
    This dataset updates: Never
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 25, 2018-June 25, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in the northeastern parts of Bangladesh (Sylhet distric) & India (Assam, Tipura and Mizoram states) using a Sentinel-1 satellite image acquired on the 15 June 2018. The analysis shows an increase of surface waters in Sylhet district (Bangladesh) and Assam state (India). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 20, 2018-June 20, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 19, 2018-June 19, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in the northeastern part of Bangladesh using a Sentinel-1 satellite image acquired on the 15 June 2018. In the analysed area; about 500,000 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 3,500,000 people are potentially affected by floods in this analysed zone: ~1,500,000 are located in Sylhet Division and ~1,000,000 in Sumanganj Division and about 35% of the population is leaving within or close to inundated areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 14, 2018-June 14, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected surface water extent in Teknaf Upazila, District of Cox's Bazar, Chittagong Division, located in the southeastern part of Bangladesh as detected using a Sentinel-1 satellite image acquired on the 13 June 2018 compared to a Sentinel-1 satelllite image acquired on 22 May 2018. The total analysed area is about 5,000 ha, and about 1,600 ha of surface waters could be observed on 13th of June 2018 whereas 1,050 ha were observed on 22 May 2018. The increase of observed surface waters in this area is about 50 %. Within the camps' extents, 52 ha of water were detected and the most affected seems to be camp 25. Please note that in many zones, the affected lands are mainly agricultural and open 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: June 07, 2018-June 07, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Volcanic Eruption Impact
    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.
  • 20+ Downloads
    Time Period of the Dataset [?]: June 07, 2018-June 07, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This dataset is part of the data series [?]: UNOSAT - Volcanic Eruption Impact
    This map illustrates an estimation of the number of buildings potentially affected by pyroclastic flow detected by Copernicus EMS using a Sentinel-2 satellite image collected on 4 June 2018. UNITAR-UNOSAT estimates 411 buildings / structures within the pyroclastic flow, ~ 260 of which are located inside the community of San Miguel de Los Lotes. Industrial sites and the resort of La Reunion are also included in the extent of this pyroclastic flow. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 17, 2018-May 17, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 40+ Downloads
    Time Period of the Dataset [?]: May 16, 2018-May 16, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates potentially affected population by flooding in the eastern sub counties of Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, more than 200,000 people are potentially affected by the floods. Magarini sub county in Kilifi County, is the one with more than 40,000 people living inside flood affected areas, followed by Dadaab, Wajir South, Garsen and Malindi sub counties. Note that some sub counties have been partially analyzed depending on the area covered by satellite imagery. 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 15, 2018-May 15, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. 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.
  • 30+ Downloads
    Time Period of the Dataset [?]: May 15, 2018-May 15, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over Wajir county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. Within the analysis extent, around 111,800 ha of land appears to be inundated and more than 46,300 people are living inside this flood water extent.Within the analysis extent, the sub county of Wajir West presents 68,000 ha of land inundated and more than 6,100 people potentially affected while Wajir South presents ~ 26,300 ha of land inundated and ~ 19,000 people 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.
  • 40+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over the district of Baardheere (Gedo Region), the districts of Saakow and Bu'aale (Middle Juba region) and the district of Diinsor (Bay region), Somalia using a Radarsat-2 image acquired on 09 May 2018. As observed from the satellite radar image, a total of 61,000 ha of land were inundated in the area of interest. By using WordPop data, we estimate that at least 100,000 people are potentially affected or living close to the potentially flood area. This correspond about 35% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 20+ Downloads
    Time Period of the Dataset [?]: May 11, 2018-May 11, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800 people are potentially affected or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 10, 2018-May 10, 2018 ... More
    Modified [?]: 15 July 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    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.
  • Time Period of the Dataset [?]: May 09, 2018-May 09, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent over Booco and Hagan areas, Hiraan region, Somalia using a Radarsat-2 image acquired on 09 May 2018. Within the extent of the map about 4,000 ha of land appear to be inundated and according to WorldPop data, ~22,000 people, live within the extent of this map about 6,500 within 100 meters distance from the flooded areas which corresponds to about 30% of population in this zone. 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.
  • 10+ Downloads
    Time Period of the Dataset [?]: May 08, 2018-May 08, 2018 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 15 July 2018
    This dataset updates: Never
    This map illustrates satellite-detected flood water extent and IDP distribtuion within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Around 70% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based, Radar and Kutimbo completely submerged in water. The flood waters inside areas of partially flooded districts are receding. More than 110 IDP sites are located inside the town, and 50% of them are inside areas completly flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.