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  • 300+ Downloads
    Updated June 23, 2019 | Dataset date: Jan 1, 2019-Jun 5, 2019
    This dataset updates: Every week
    1) Natural disaster events include avalanches, drought, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • This map illustrates satellite-detected areas of flood affected land as detected by LANDSAT-8 imagery acquired 10 September 2014 in Wazirabad area, Punjab Province (Pakistan). The area along Chenab River and agricultural areas northern Wazirabad are most likely inundated by floods caused by monsoon rains. It is likely that flood waters have been systematically underestimated because of the cloud coverage on the image. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • This map illustrates satellite-detected possible flood water & saturated soil over Abu Hamad area in River Nile State, Sudan, extracted from Spot-6 imagery of 14 August 2016. UNOSAT analysis shows an increase of floods water / saturated soil around Nileside west and Abu Tin areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT
  • This map illustrates satellite detected possible flood water & saturated soil over Wad Madani, in Al Jazeera State, extracted from Radarsat-2 imagery (12 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Southern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • This map illustrates satellite detected possible flood water & saturated soil over Al Jazeera Area, in Al Jazeera State, extracted from Radarsart-2 imagery (12.5 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Eastern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • This map illustrates evolution of satellite detected waters over the central part of Khartoum City, Sudan, extracted from TerraSAR-X imagery (3 m) acquired on 11 August 2016 and SPOT-7 on 15 August 2016 (1.5 m). During this period, it has been observed that the water expansion is predominantly located in areas along Nile river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows water expansion on the right bank of the Blue Nile and on the left and right banks of the White Nile. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 17, 2016
    This dataset updates: Never
    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.
  • This map illustrates satellite-detected possible flood water & saturated soil over Sennar State, extracted from Radarsar-2 imagery acquired 12 August 2016. UNOSAT has analysed the area using a Radarsat-2 image acquired on 12 August 2016 to identify and delineate the Possible Flood Water & Saturated / Wet Soil. According to satellite derived analysis some areas within Sennar State seem to be flooded. In addition, and the Blue Nile increased its size especially in the right bank, without apparently causing floods inside build up areas.The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 30+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters around the Khartoum City in Sudan as detected in satellite imagery acquired by the TerraSAR-X satellite on 11 August 2016 in Khartoum State. UNOSAT analysis shows an expansion of water of~ 90Km2 (over the analysed area) particularly located in the left bank of White Nile without causing floods inside build up areas. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. 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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 12, 2016
    This dataset updates: Never
    This map illustrates satellite detected waters over the central part of Kassala state in Sudan extracted from Landsat-8 imagery (30m) acquired 05 June 2016 (Pre-event) and 08 August 2016 (Post-event). Since late June, it has been observed that the water expansion are predominantly located in areas along the Gash river banks. Additionally, the analysis carried out by UNITAR-UNOSAT also shows that most of the water expansion is around agricultural and vegetated areas.This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Aug 3, 2016
    This dataset updates: Never
    Floods in Rakhine State, Myanmar-Situation Analysis Preliminary Report
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 28, 2016
    This dataset updates: Never
    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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 29, 2016
    This dataset updates: Never
    Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 27, 2016
    This dataset updates: Never
    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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Jul 15, 2016
    This dataset updates: Never
    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.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Nov 22, 2016
    This dataset updates: Never
    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.
  • This map illustrates the satellite-detected surface water evolution of Dinh Binh Lake, Vinh Thanh District, Binh Dinh Province, Vietnam, as detected by Sentinel-1 images acquired on 26 October 2016 and 07 November 2016. An increase of surface water extent was detected in the 07 November 2016 image, particularly in the upstream part of the lake : ~500 ha of surface water were observed the 26 October 2016 and reached ~930 ha the 07 November 2016 corresponding to an evolution of about 85%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Ha Tinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016. An increase of surface waters extent was observed from the 24 October 2016 image: ~26,400 ha of surface water were observed the 12 October 2016 and reached ~30,700 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 16%. More specifically, in Tri River (Song Tri) lake and dam an increase of 177 ha was observed. For Ke Go Lake and dam, an evolution of 30% of the total surface water was observed in between the 12 October and the 24 October 2016. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Binh Dinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,000 ha of surface water were observed the 07 November 2016 and reached ~49,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 90 % : An Nhon District (+5,950 ha), Tuy Phuoc District (+3,900 ha), Phu Cat District (+3,500 ha), Tay Son District (+3,200 ha), Phu My District (+3,000 ha) and Hoai An District (+2,000 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Quang Ngai Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed area, an increase of surface waters extent was observed from the 01 December 2016 image: ~12,300 ha of surface water were observed the 07 November 2016 and reached ~33,000 ha the 01 December 2016. All over the Province, it corresponds to an evolution of about 170% : Binh Son District (+4,115 ha), Mô Dúc District (+3,654 ha), Dúc Phô District (+3,279 ha), Son tinh District (+2,850 ha) and Tu Nghia District (+2,736 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Central and Eastern Quang Nam Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zones representing 75% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,200 ha of surface water were observed the 07 November 2016 and reached ~39,000 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 50 % : Thang Binh District (+5,300 ha), Nui Thanh District (+2,800 ha), Tam Ky Township (+1,530 ha) and Phu Ninh District (+1,140 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the satellite-detected surface waters extent and evolution in Phu Yen Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, representing ~85% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~19,200 ha of surface water were observed the 07 November 2016 and reached ~26,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 37 % : Tuy Hoa District (+3,320 ha), Dông Hòa District (+2,000 ha), Phu Hòa District (+1,460 ha) and Tuy An District (+1,340 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Updated May 15, 2019 | Dataset date: Dec 21, 2016
    This dataset updates: Never
    This map illustrates the satellite-detected surface waters extent and evolution in Thua Thien Hue Province, Vietnam, as observed from the Sentinel-1 images acquired on 06 December 2016 and 18 December 2016. Within the province area, an increase of surface waters extent was observed between the 06 and the 18 December 2016. ~38,400 ha of surface water were observed the 06 December 2016 and reached ~50,850 ha the 18 December 2016. All over the province area, it corresponds to an evolution of about 32%. This evolution was particularly observed in Phong Diên District (+6,100 ha) and Quang Diên District (+1,780 ha). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Feb 15, 2017
    This dataset updates: Never
    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.
  • 20+ Downloads
    Updated May 15, 2019 | Dataset date: Feb 17, 2017
    This dataset updates: Never
    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.