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  • 20+ Downloads
    Updated March 16, 2020 | Dataset date: Sep 30, 2019
    This dataset updates: As needed
    Rainfall distribution in Sudan for a 2010-2019. The data-set was created using observed data from the Sudan Meteorological Authority. All measurements in millimeters.
  • 20+ Downloads
    Updated January 17, 2020 | Dataset date: Jan 14, 2020
    This dataset updates: As needed
    Kelurahan/village in Jakarta affected by Flood on Jan 2020
  • 10+ Downloads
    Updated January 17, 2020 | Dataset date: Jan 14, 2020
    This dataset updates: As needed
    Number of population affected by flood in Jakarta, Banten, and West Java Provinces. The affected area based at village level source from National Disaster Management Agencies (BNPB), the Population data is from Civil Registration Office, Ministry of Home Affairs.
  • 10+ Downloads
    Updated Live | Dataset date: May 16, 2018
    This dataset updates: Live
    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.
  • 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.
  • 10+ Downloads
    Updated Live | Dataset date: May 15, 2018
    This dataset updates: Live
    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.
  • 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.
  • 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.
  • 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.
  • 20+ Downloads
    Updated June 21, 2018 | Dataset date: Aug 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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
    Updated November 6, 2015 | Dataset date: Oct 21, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the WorldView-2 satellite on 17 October 2015 to assess the status of a landslide induced dam in Tonzang township. Imagery shows that there has been an increase in the satellite detected waters in the area and a total of 54 hectares are covered by water as of 17 October 2015. This means an increase of 59% since last UNOSAT analysis with imagery from 16 September 2015 when 34 hectares of land were covered by water. The increase on the satellite detected waters might have been slightly overestimated as extensive cloud cover in the area as of 16 September prevented UNOSAT from analyzing certain areas of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 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.
  • 10+ Downloads
    Updated September 29, 2015 | Dataset date: Sep 16, 2015
    This dataset updates: Never
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and detected the presence of a landslide over a mountainous area in Tonzang township. As a consequence of the landslide waters have accumulated in the area forming a dam. Imagery shows that a total of 34 hectares are covered by water. The heavy cloud cover in the area prevents UNOSAT from determining the exact dimension of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated September 29, 2015 | Dataset date: Sep 8, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in western Sagaing Division in the areas of Homalin, Tamu, Phaungbyin and Mawlaik townships of Myanmar as imaged by the Sentinel-1 satellite on 4 September 2015. Waters along the Chindwin have expanded and inundated lands on either sides of the river bank and as of 4 September 2015 a total of ~111,000 ha of lands were affected. Total surface area covered with water in the analysed area has increased from a pre-flood level of 0.4% to 2.9 % during the flood period. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 10+ Downloads
    Updated September 29, 2015 | Dataset date: Aug 19, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over north Rakhine State, Myanmar, in the areas of Kyauktaw and Ponnagyun and Rathedaung townships, as imaged by the Radarsat-2 satellite on 17 August 2015. Waters along the Kaladan River have expanded and inundated lands on either sides of the river bank. Total surface area covered with water in the analysed area has increased from a pre-flood level of 4% to 8% during the flood period, and as of 17 August 2015 a total of ~55,000 ha of lands were affected. Due to sensor limitations, flood waters could be underestimated in urban areas and areas covered with vegetation. 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 western Rakhine State, Myanmar, in the areas of Ann and Myebon townships, as imaged by the ALOS-2 / PALSAR-2 satellite on 16 August 2015. In the analyzed area a total of ~24,600 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 10.2% to 15.2% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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
    Updated September 29, 2015 | Dataset date: Aug 14, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the region of Kayin and Mon State in the areas of Papun, Bilin, Hlaingbwe, Thaton, Pa-An, Paung, Moulmein, Kyaikmaraw, and Kya In Seikkyi townships of Myanmar as imaged by the Sentinel-1 satellite on 6 August 2015. Waters along the Salween River have expanded and inundated lands on either sides of the river bank. Total surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 10% during the flood period, and as of 6 August 2015 a total of ~230,000 ha of lands were affected. Most of the affected lands north of Letpan town seem to be mainly agricultural 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 September 29, 2015 | Dataset date: Aug 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the South Bago Division of Myanmar, over the Bago, Waw, Thanatpin, Kawa, and Kayan townships. Using satellite imagery acquired 09 August 2015, UNITAR-UNOSAT identified a total of 89,188 hectares of flood affected lands in the analyzed area that were mainly comprised of agricultural and/or paddy fields. The township of Thanatpin in Pegu district was the worst affected township with 5,822 hectares of flood affected land, followed by Kawa township in Pegu district (4,514 ha). Approximately 30 km of roads are potentially affected by floods in 17 of the 29 analyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated September 29, 2015 | Dataset date: Aug 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the central part of Sagaing region in the areas of Shwebo, Wetlet and Khin-U townships of Myanmar as imaged by the Sentinel-1 satellite on 11 August 2015. Waters along the Mu River have expanded and inundated lands on either sides of the river bank. Floods affected lands increased on the left bank of the Mu River (downstream). Total surface area covered with water in the analysed area has increased from a pre-flood level of 1% to 7% during the flood period, and as of 11 August 2015 a total of ~250,000 ha of lands were affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Updated September 29, 2015 | Dataset date: Aug 12, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Southern region of Sagaing Division in the areas of Monywa, Chaung-U and Myaung townships of Myanmar as imaged by the Radarsat-2 satellite on 6 August 2015. Waters along the Chindwin River have expanded and inundated lands on either sides of the river bank. Flood affected lands increase in the area were Chindwin River flows into Ayeyarwady River. Total surface covered with water in the analysed area has increased from a pre-flood level of 1% to 5% during the flood period, and as of 6 August 2015 a total of 86,799 ha of lands were affected. The township of Myaung in Sagaing district was the worst affected township with 22,024 hectares of flood affected land, followed by Chaung-U township in Monywa district (13,732 ha). Approximately 12 km of roads are potentially affected by floods in 17 of the 29 anlyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 60+ Downloads
    Updated August 12, 2015 | Dataset date: Aug 10, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters south of Myanmar's largest city, Yangon, as imaged by the Radarsat-2 satellite on 9 August 2015. Most of the flood affected lands are agricultural fields in the Yangon river delta. There is no significant overflowing of waters along the river bank. In the area analyzed, ~45,000 hectares of land has been identified as flood affected/inundated land as of 9 August 2015. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.
  • Updated August 12, 2015 | Dataset date: Aug 11, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over Northern Rakhine State, Myanmar, in the areas of Kyauktaw, Mrauk-Oo, Ponnagyun & Rathedaung, Pauktaw and Minbya townships, as imaged by the TerraSAR-X satellite on 10 August 2015. In the analyzed area a total of ~60.000 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 4% to 8% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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
    Updated August 10, 2015 | Dataset date: Feb 16, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Caia, Chemba, Mopeia and Mutarara and Morrumbala Districts of Mozambique and Nsanje District of southern Malawi along the Shire River as detected by Landsat-7 imagery acquired 07 February 2015. 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 analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • 50+ Downloads
    Updated August 10, 2015 | Dataset date: Feb 16, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in the Chikwawa and Nsanje Districts of Southern Region of Malawi and in the Morrumbala District of Zambezia Province of Mozambique along the Shire River as detected by Landsat-7 imagery acquired 07 February 2015. 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 analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • 10+ Downloads
    Updated August 10, 2015 | Dataset date: Feb 10, 2015
    This dataset updates: Never
    This map illustrates satellite-detected flood waters in Maganja Da Costa and Namacura District of Zambezia Province, Mozambique, as detected by Radarsat-2 imagery acquired 03 February 2015. Between 18 January and 03 February, flood waters slightly decreased and affected roughly 52,700 hectars of land. A total of 69 potentially affected towns were detected within the complete analyzed area.This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.