This map illustrates satellite-detected damage and destruction in a portion of the town of Sinjar in Sinjar District, Nineveh Province, Iraq. Using satellite imagery acquired 18 November 2015 and 07 August 2014, UNITAR - UNOSAT identified a total of 1,293 potentially affected structures. Approximately 369 of these were destroyed, 336 severely damaged, 380 moderately damaged, and 208 possibly damaged. Note that due to less-than-ideal imagery characteristics the error margin for this analysis is likely higher than usual. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates a land cover classification of the Galangan site and Katingan catchment area in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 24 September 2014 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. 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 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.
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 satellite-detected damage and destruction in the Aliabad area of Hunza Nagar District, Pakistan and located roughly 350 km east of the 26 October 2015 earthquake epicenter. Using a Pléiades satellite image acquired 31 October 2015 and a WorldView-2 image acquired 12 August 2015, UNITAR-UNOSAT identified 55 potentially damaged 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 affected mining areas along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-5 and Landsat-8 multispectral imagery acquired on 7 August 2005 and 3 August 2015 respectively at 30 meter pixel resolution. Affected mining areas are comprised of the exposed sands/mining and affected waters/mining pits land cover classes. The inset table summarizes the total affected mining area as of 7 August 2005 and 3 August 2015 within the region analyzed. 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 shelters and other buildings at the Al Zaatari refugee camp in Mafraq Governorate, Jordan. As of 12 October 2015 a total of 26,963 shelters were detected as well as 2,130 infrastructure and support buildings within the 534.4 hectares of the camp. Between 26 April 2015 and 12 October 2015, a total of 4,310 shelters closed or were moved, and a total of 2,296 shelters were constructed, and the number of shelters has thus decreased by about 2,268 since the previous UNITAR-UNOSAT assessment. This indicates an approximate 7.76% decrease in the number of shelters between 26 April 2015 and 12 October 2015. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. Shelters grouped under plastic sheeting were estimated by average household size and may be a source of error. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates satellite-detected damage and destruction in Jilah village, Shabwah Governorate, Yemen. Using satellite imagery acquired 5 November 2015 and comparing with imagery collected on 22 August 2015, UNITAR - UNOSAT identified an area severely affected by flash flood resulting from rains during Cyclone Chapala. Imagery shows that the town of Jilah is partially covered by mud and a total of 150 structures appear damaged. Approximately 58 of these were destroyed, 57 severely damaged, and 35 moderately damaged. Primary road N4 is also highly affected by mud as a consequence of the flash floods and it is impassable across several sections. 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 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.
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 density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 within the same area. The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. 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-3 satellite on 29 April 2017, UNOSAT located 8,382 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is a 22.9 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 17 February 2017. 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 a land cover classification along Kahayan River in Central Kalimantan Province, Indonesia. It is derived from Landsat-8 multispectral imagery acquired on 3 August 2015 at 30 meter pixel resolution. The classification is divided into seven main classes: dense vegetation/forest, shrub/disturbed forest, agricultural areas, water, exposed sands/mining, affected waters/mining pits, and exposed soils. The inset table summarizes the total area for each class in the region analyzed. 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 potential damage following Cyclone Chapala in western Socotra Island, Socotra Governorate, Yemen. Using satellite imagery acquired 04 November 2015 compared with imagery from 27 October 2015, 10 and 23 September 2015, UNITAR-UNOSAT analyzed an area of approximately 2,157 square kilometers or roughly 59% of the island. A total of 81 potentially damaged structures were identified as of 04 November 2015. Many affected structures and boats were observed near the settlement of Qulansiyah. Detected damage likely reflects an underestimation due to significant cloud obstruction. 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 flood as seen in Sentinel-1 imagery acquired on 11 August 2015 in northern Sindh state, Pakistan. There is significant flooding along the Indus river banks in Ghotki, Sukkur, Shirakpur, Larkana and Khairpur districts. In the analyzed area about 350,000 hectares of land were found to be flooded. 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.
This map illustrates percentages of buildings damaged in the cities of Tadmur and Al-Amiriyah in the Syrian Arab Republic as determined by satellite imagery analysis. Using satellite imagery acquired 30 March 2016, 18 October 2015, 27 August 2015, and 26 June 2015, UNITAR-UNOSAT identified a total of 611 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the cityt. 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 potentially damaged structures in the area of Puli Khumri, Baghlan Province, Afghanistan. The Puli Khumri area is located approximately 190 kilometers southwest of the 26 October 2015 earthquake epicenter. Using Pleiades satellite imagery acquired 03 November 2015 and WorldView-2 imagery from 01 September 2014, UNITAR - UNOSAT identified 133 potentially damaged structures. Note that some areas heavily damaged in the south of Qahwakhana appear to have also been affected by a limited landslide. 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 IDP shelters and administrative buildings in M'Poko Airport in Bangui, Central African Republic using satellite images acquired on 4 October 2015 and 6 June 2014. As of 6 June 2014 3,254 structures were detected. Imagery from 4 October 2015 shows a decrease in the number of tent shelters present inside of the airport. As of 6 June UNOSAT detected a total of approximately 2,578 tent shelters and 148 camp infrastructure building. Compared to previous UNOSAT analysis the number of shelters has decreased by 19.3%. 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 damage assessment in the Lautoka city and greater area in Ba Province in the northwestern part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 22 February 2016, UNITAR-UNOSAT identified a total of 900 damaged structures, of which 433 were within the city limits. In the greater Lautoka area, 74 structures were identified to be destroyed, 152 were severely damaged, and 674 have suffered moderate damages. These damaged structures were compared with total number of buildings/structures ( ~17,500) in the region and the percentage of damaged buildings across the area was estimated to be about 5%. 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 potential damage in the Kalam area of Khyber Pakhtunkhwa Province, Pakistan. This area is located roughly 180 kilometers southeast of the 26 October 2015 earthquake epicenter. Using a Pléiades satellite image acquired 31 October 2015 and a WorldView-1 image acquired 05 November 2014, UNITAR ? UNOSAT identified 358 potentially damaged structures. The majority of these structures were situated in valley areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates potentially damaged structures and buildings in the southeastern part of Dominica (St. Patrick & St. David Parishes) as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 1304 potentially damaged structures within the extent of this map. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 56 % of the total number of structures within the analysed cloud free areas. 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 and destruction in the Sinjar area of Nineveh Province, Iraq. Using satellite imagery acquired 18 and 28 November 2015, 30 December 2014, and 07 August 2014, UNITAR - UNOSAT identified a total of 1,780 potentially affected structures. Approximately 544 of these were destroyed, 473 severely damaged, 457 moderately damaged, and 306 possibly damaged. Note that due to less-than-ideal imagery characteristics the error margin for this analysis is likely higher than usual, and due to terrain distortion the spatial accuracy is +/- 15 meters. 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 location of damaged buildings and cultural heritage locations in the Ancient City of Palmyra, Syrian Arab Republic as determined by satellite imagery analysis. Using satellite imagery acquired 30 March 2016, 18 October 2015, and 26 June 2015 UNITAR-UNOSAT identified a total of 37 damaged structures within the Ancient City of Palmyra, of which 14 are destroyed, 8 are severely damaged, and 15 are moderately damaged. The majority of these damaged structures are in the vicinity of the Valley of the Tombs and the Necropolis, west and southwest of Palmyra. Additionally, satellite imagery analysis identified a total of 59 craters in the same area, an indicator of the level of fighting in the area. 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 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.
