AndreaBozzo/ceres-open-data-index huggingface dataset:
Geodata of IDP Shelters Detected in Galkayo, Somalia

This map illustrates satellite-detected shelters for displaced persons in the Galkayo settlement in Somalia. Using a WorlView-1 image collected on 25 February 2014, UNOSAT located and marked 453 temporary shelter structures in the camp. In addition, 1,799 metal shelter structures were identified which are also likely housing for displaced persons. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water and/or Saturated Wet Soil Extent in Solon Communal Section, Haiti

This map illustrates the satellite-detected water and/or saturated wet soil extent in Solon Communal Section, St. Louis du Sud Commune in Sud Department located in the southwestern part of Haiti. The UNITAR-UNOSAT analysis used a WorldView-2 satellite image acquired on the 28 April 2017 and could observe areas with standing waters and saturated wet soil mainly affecting agricultural fields. The UNITAR-UNOSAT analysis identified 118 ha of those areas, which cover 8.50% of this map's extent of 1385 ha of land. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment in Beit Lahia, Gaza Strip - Occupied Palestinian Territory

This map illustrates satellite-detected damage and destruction in the Beit Lahia area, Gaza Strip, resulting from ongoing violence in the area. Using a satellite image collected 25 July 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 100 destroyed structures, 63 severely damaged structures, and 37 moderately damaged structures. In addition, 85 craters on roads and in agricultural and non-urbanized areas are also visible as of 25 July 2014. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR/UNOSAT.


Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Overview of Flood Waters in Mangla Area, and Northern Punjab (Pakistan)

This map illustrates satellite-detected areas of flood affected land as detected in a Sentinel-1 image acquired 27 July 2015 in the Mangla area, and in Northern Punjab Province (Pakistan). Some areas along Jhelum River agricultural areas are most likely inundated by floods caused by monsoon rains, and waters in the Mangla Dam basin have increased. Due to sensor limitations, flood waters could be underestimated in urban areas. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Nayapara Refugee Camp, Teknaf Union, Bangladesh

This map illustrates satellite-detected potentially affected shelters in Nayapara refugee camp in Teknaf Union, Cox s Bazar District, and Chittagong Division of Bangladesh. About 12,500 people are registred in this camp. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired the 05th of June 2017 and could identify 560 possible damaged shelter structures within the extent of the camp. Kindly note that the number of damaged shelters could have been underestimated as some groups of shelter structures might be identified as one structure.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Overview of Flood Waters in Wazirabad area, Punjab Province, Pakistan

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.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents, as of 10 Sep 2019 over Attapeu Province, Lao PDR

**UNOSAT code: FL20190905LAO**  This map illustrates satellite-detected surface water in Attapeu provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 6,000 km2, a total about 14 km2 of land appear to be flooded as of 10 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Important Note: Flood analysis from Sentinel-1 imagery acquired on 10 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment: Neighborhoods in Eastern Benghazi City, Libya

This map illustrates satellite-detected areas of damage in the Bu Attniy North and Bu Attniy South neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,701 potentially damaged structures in these neighborhoods. Approximately 573 of these were destroyed, 329 severely damaged, 496 moderately damaged, and 303 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 13 July 2020 over Province 2 of Nepal

**UNOSAT code: FL20200708NPL**  This map illustrates satellite-detected surface waters in Province 2 of Nepal as observed from a Sentinel-1 image acquired on 13 July 2020 due to the current monsoon rains. Within the analyzed area of about 2,300 km2, a total of about 200 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected water extents, as of 10 December 2019, over Epéna District, Likouala  Department, Republic of Congo

**UNOSAT code: FL20191205COG**  This map illustrates satellite-detected waters in Epéna District, Likouala Department in Republic of Congo, as observed from Sentinel-1 imagery acquired on 10 December 2019. Within the analysed area of about 30,500 km2, based on Worldpop population data and the detected surface waters, about 7,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Important note: Flood analysis from SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of IDP Settlement, M Poko Airport, Bangui, Central African Republic

This map illustrates satellite-detected areas of IDP shelters in M Poko Airport in Bangui, Central African Republic. Using satellite images acquired on the 28 December 2013 by the QuickBird satellite, UNOSAT reviewed the airport grounds and delineated 22.3 ha of area where IDPs are living in shelters and in the open. Imagery acquired on 20 January 2014 shows that the IDP camp extent has increased compared with the previous UNOSAT analysis. The total area of IDPs occupies 26.8 ha as of 20 January 2014, although imagery shows areas where terrain has been cleared and shelters have been relocated. Note that IDP occupied areas include improvised shelters and, in some cases, administrative support and other structures. An area of expansion is also visible in the image as of 20 January 2014, indicating preparations are underway to accommodate increased numbers of refugees in the near future. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Update: Al Azraq Refugee Camp,  Az Zarqa Governorate, Jordan

This map illustrates the refugee camp currently under construction in Al Azraq, Jordan using an image collected by the WorldView-2 satellite on 26 April 2014. As of 26 April 2014 a total of 7,333 structures were detected in the camp, 2,494 infrastructure and support buildings and 4,839 shelter structures. Nowadays the capacity of the camp is approximately of 12,500 refugees. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 28 December 2013 detected a total of 3,174 infrastructure, support buildings and shelters structures. This is an increase of approximately 230%. Paved and unpaved roads have likewise increased significantly and define the transportation network in and around the camp. Water and sanitation services are also under development in multiple camp zones suitable for supporting thousands of proximate shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment in Greater Lautoka Area, Ba Province, Western Division, Fiji

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.  

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent, as of 16 and 18 July 2019 over Kachin and Saigang States, Myanmar

**UNOSAT code: FL20190715MMR**  This map illustrates the cumulative satellite detected surface waters in Kachin and Saigang States, Myanmar by using a Sentinel-1 images acquired on 16 and 18 July 2019. Over an area of about 879km2 of lands appear to be likely flooded. By using the population data from Worldpop, total of about 987,000 people appear to have been affected by floods as of 18 July 2019. This is preliminary analysis that has not yet been validated in the field. Please send your comments to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Destroyed buildings in Maungdaw District, Myanmar

This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar, as seen in satellite imagery collected on 16 September 2017. The analysis found a total area of more than 20 square kilometers of destroyed structures within the 2,000 square kilometers analyzed. According to other data on town locations it is likely that more than 160 towns are affected within the area analyzed. Additionally, 144 fires were detected within the area between 25 August and 21 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 16 September. Finally, heavy cloud cover during the period in question, and on 16 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Kadavu Province, Eastern Division,  Republic of Fiji

**UNOSAT code: TC20200408FJI**  This map illustrates potentially damaged structures and buildings in Kadavu Province, Eastern Division, Republic of Fiji as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 08 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 12 April 2020. Within the Kadavu Province boundary, UNITAR-UNOSAT identified in the cloud free zones 1,003 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 22% of the total number of structures within the analyzed cloud free areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Ajuong Thok Refugee Camp, Pariang County, Unity State, South Sudan

This map illustrates satellite-detected shelters and other buildings at Ajuong Thok refugee camp in Pariang County, Unity State, South Sudan. High resolution optical imagery collected by WorldView-1 show that as of 7 December 2013, a total of 2,997 shelters structures are present as well as 273 support structures within the 225 ha of the camp extent. Additional areas for camp expansion are well demarcated by the gridded network of dirt roads also visible. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Somalia - Internally Displaced Persons Shelters in Baidoa Town

This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay region in Somalia. Using a Worlview-2 satellite image collected on 21 April 2017, UNOSAT analyzed the town of Baidoa and its outskirts areas and identified 272 locations where displaced person shelters are visible. A total of approximately 33,467 shelter structures are estimated to be within the ~149 hectares of settlement area.  This represent an increase of 143% in shelter structures compared with the last UNOSAT analysis performed using imagery collected on 22 January 2017, where a total of 13,766 shelters, inside 144 locations, within 96 hectares of settlement area were detected. Note that also 1,288 additional shelters were detected in the previous analysis but were not detected in the current one as they are obscured by clouds in the image from 21 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Maewo Island, Penama Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in Meawo Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a Pleiades image acquired on 21 and 27 April 2020 as post event images, Within the island boundary, UNITAR-UNOSAT identified in the cloud free zones about 20 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 2% of the total number of structures within the analyzed cloud free areas.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Water over Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe

This map illustrates satellite-detected water bodies at the Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe, as detected by TerraSAR-X on 11 February 2014. The flooded area above the dam has greatly increased due to recent heavy rains and currently encompasses about 2,300 ha. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks 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.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 2 January 2020 over Banten, Dki Jakarta and Jawa Barat Province of Indonesia

**UNOSAT code: FL20200101IDN**  This map illustrates satellite-detected surface water in Banten, Dki Jakarta and Jawa Barat Province of Indonesia as observed from Sentinel-1 imagery acquired on the 2 January 2020. Approximately  258 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Important Note: Flood analysis from Sentinel-1 imagery acquired on 2 January 2020 may seriously underestimate presence of standing flood water in built up areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Chone area, Manabi Province, Ecuador

This map illustrates satellite-detected potential damaged structures in Chone area in Manabi Province, Ecuador, located at approximately 120 km south of the 16 April 2016 Muisne earthquake main shock epicentre. Using a Pleiades satellite image acquired the 19 April 2016 and a WorldView-2 image acquired the 02 December 2013, UNITAR - UNOSAT identified 162 potentially damaged structures of which 62 were destroyed, 36 severely damaged, and 64 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected flood waters, as of 29 November 2019, over Loukoléla, Cuvette Department, Republic of Congo

**UNOSAT code: FL20191205COG**  This map illustrates satellite-detected flood waters along the Congo River over, Loukoléla, Loukoléla District, Cuvette Department in Republic of Congo as observed from Pleiades-1 imagery acquired on 29 November 2019. 136 ha of potential flood waters and 168 potentially flooded structures have been identified in Loukoléla and its vicinity. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR -UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 27 July 2018 over Sanamxay District, Attapeu Province, Lao PDR

This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the TerraSar-X and Tandem-X radar imagery acquired on 27 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the analyzed area, a total of 7,405  ha were detected as inundated, four days after  the collapse of the dam. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected Water Over Saakow and Buaale Districts, Middle Juba, Somalia

This map illustrates satellite-detected flood water extent over the districts of Saakow and Bu'aale, Middle Juba, Somalia. The mostly affected areas are in the district of Saakow, where 365 km2 of land are flooded. In total, 19 settlements are within the inundated zones: 12 in Buaale and 7 in Saakow; however, more than 100 settlements, are within 500 meters distance from the flooded areas and might be affected due to the proximity to Juba River. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment in Sasa Area, Ba Province, Western Division, Fiji

This map illustrates damage structures in the area of Sasa, east of Baba town, in Ba Province in the north part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 352 damaged structures within the extent of this map, 153 structures were identified to be destroyed, 122 were severely damaged, and 77 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent in Teknaf Upazila, Cox's Bazar District, Chittagong Division, Bangladesh

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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)