AndreaBozzo/ceres-open-data-index huggingface dataset:
Iraq - Environmental damage in Al Qayyarah

This map illustrates satellite-detected fires and environmental damage at and around Al Qayyarah, approximately 60 Km south of Mosul, Iraq. The main frame shows fires and the oil spill as seen in imagery collected between 23 December 2016 and 24 January 2017. Marked in blue are fires that were detected in 23 December 2016 but appear inactive as of 24 January 2017. Insets on the left show the oil spill north of Al Qayyarah, detected with both radar and optical imagery from multiple dates. As seen in the imagery, the oil spill is very close to one of the streams which is incidentally a tributary to the Tigris River; therefore, it is possible that oil is spilling to the river. The spectral signature from thermal imagery also suggest that areas of the oil spill are on fire. 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)
Satellite detected waters in CAR and Cagayan Valley regions, Philippines as of 13 November 2020

**UNOSAT code: TC20201111PHL**  This map illustrates satellite-detected surface waters in CAR and Cagayan Valley regions, Philippines as observed from a Sentinel-1 image acquired on 13 November 2020 at 17:58 local time. Within the analyzed area of about 18,000 km2, a total of about 970 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 370,000 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 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: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Chennai Area, Tamil Nadu State, India

This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 12 November 2015, 01 September 2015, and 14 October 2015, UNITAR-UNOSAT identified expansion of wetlands and standing waters in the area of Chennai and also some saturated soils areas which are mainly agricultural fields. Saturation in the area increased between 14 October 2015 and 12 November 2015, and the total water expansion is estimated to be about 28%. This analysis 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 extents, as of 5 November 2019 over Basse-Kotto Prefectures of the Central African Republic

**UNOSAT code: FL20191028CAF**  This map illustrates satellite-detected surface water in Ouaka and Basse-Kotto Prefectures of the Central African Republic, as observed from Sentinel-1 imagery acquired on 5 November 2019. Within the analysed extent of about 970 km2, a total about  9 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 with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Shelter Density Map at Rukban Border Crossing, Jordan-Syria Border

This map illustrates satellite-detected shelters in the area of the Rukban border crossing on the Syrian- Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 24 April 2016, UNOSAT located 6,104 probable shelters in the open desert along and near the Jordanian side of the border about 25 kilometers southwest of the Al Waleed border crossing. This is an 81 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 03 February 2016. Due to the very small size, the irregularity of the shelters and the cloud cover it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. In addition, the border in this area is poorly surveyed and in dispute and has thus been depicted as a zone for the purposes of this map. 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)
Jamaica: Cyclone - Category 1 - Jul 2024

**ADAM ID: 1001067\_27**  Cyclone (category 1) during the period Jun 28 2024-Jul 06 2024 in Haiti, Grenada, Jamaica, Trinidad and Tobago, Saint Vincent and the Grenadines, Mexico, Belize, United States. It impacted 0 people.

Tags: affected population, cyclones-hurricanes-typhoons, geodata
Organization: WFP Automated Disaster Analysis & Mapping
Satellite detected waters extents, as of 3 November 2019 over Jowhar District, Middle Shabelle Region of Somalia

**UNOSAT code: FL20191030SOM**  This map illustrates the extent of surface waters detected over Jowhar District, Middle Shabelle Region located in Somalia, as detect by VIIRS-NOAA satellite between 30 October & 3 November 2019. In the analysed area, a total of about 700 km2 are likely flooded and about 70,000 people may be affected, based on WorldPop population estimates. The 10 km of roads seem to be affected. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Fire hotspots density in Lebanon and Syria as detected by VIIRS between October 15-16, 2019

**UNOSAT code: FR20191016LBN**  This map illustrates satellite-detected fire hotspots based on the analysis of Visible Infrared Imaging Radiometer Suite (VIIRS) accessed via NASA FIRMS, between October 15-16, 2019. 30 hotspots were detected in Lebanon and 121 hotspots were detected in three analysed Governorates (i.e. Homs, Lattakia and Tartous) in Syria. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: disaster risk reduction-drr, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of IDPs in UNMISS Bor Base, Jonglei State, South Sudan

This map illustrates satellite-detected areas of IDPs in Bor UNMISS Base and Protection of Civilian (PoC) areas, in Jonglei state, as seen by the WorldView-3 satellite on 8 October 2015. The IDP structures were moved from the old PoC area in the northeast of the base to the new PoC area found in the south, and currently all the IDP shelters are now entirely in the southern extension of the UNMISS base. There are currently 1,077 structures in the IDP settlement with 101 consisting of infrastructure buildings and 976 of shelter structures. A large part of the camp still remains unoccupied and this can be seen as the Contingency area. 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 of Tulehu area, Eastern part of Salahutu District, Maluku Tengah Regency, Maluku Province

**UNOSAT code: EQ20191001IDN**  This map illustrates satellite based structure damage assessment in the Eastern part of Salahutu District, Indonesia that was affected by the 6.8 magnitude earthquake of the 26th of September 2019 with an epicenter located north of Kamarian in Kairatu District. UNITAR-UNOSAT has identified within the extent of this map 6 potentially damaged structures around Teluhu village in Salahutu District. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap we estimate to less than 1% the total number of structures potentially damaged. Taking into account the type of structural damage and the satellite based damage assessment analysis characteristics and limitations; it is possible that the damage is underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Landcover Classification, Kalobeyei and Kakuma areas, Turkana County, Kenya

This map illustrates a landcover classification over Kalobeyei and Kakuma areas, Turkana Province, Kenya as derived from Landsat-8 multispectral imagery acquired the 08 March 2015 at 30m of pixel resolution. The classification is divided into 5 main classes: Savana and Sparse Vegetation, Sandy and alluvial soils with few vegetation, Baresoils and vegetated areas and riparian. 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 Shelters at Hadalat Border Crossing, Jordan-Syria Border

This data illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 2016. 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. 

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 6 September 2019 over southern provinces of Lao PDR

**UNOSAT code: FL20190905LAO**  This map illustrates satellite-detected surface water in southern provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 6 September 2019. Within the analysed extent of about 60,000 km2, a total about 1,000  km2 of land appear to be flooded as of 6 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 6 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Chennai Area, Tamil Nadu State, India

This map illustrates satellite-detected waters and probable flood waters in the Chennai area of the Tamil Nadu State in India. Using satellite imagery acquired 24 November 2015, 12 November 2015, 14 October 2015 and 01 September 2015. UNITAR-UNOSAT identified expansion of waters in the area of Chennai. Standing waters extended between the 24 November 2015 and 12 November 2015 and the total water expansion is estimated to be about 10% between the two dates. This analysis 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 Surface Waters & Evolution in Long An Province, Vietnam

This map illustrates the satellite-detected surface waters extent in Long An province and in the southern part of Cambodia, as observed from the Sentinel-1 SAR images acquired on 16 & 28 August 2018. In the analysed area, an increase of surface waters is observed mainly in agricultural and paddy fields areas. In addition, using WorldPop data, we can estimate that ~200,000 people are living within or close to flooded zones in the province of Long An. 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: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents, as of 28 Aug 2019 over White Nile State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water in White Nile District, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed area of about 240 sq km, a total 35 sq km of lands appear to be flooded as of 28 August 2019. 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)
Satellite Detected Waters in Southern Bangladesh

This map illustrates satellite-detected surface water extent in the central and southern parts of Bangladesh using a Sentinel-1 satellite image acquired on the 22 August 2017. In the analysed area; 608,747 ha of lands are likely affected. These lands are mainly cropland irrigated and rainfed areas and estimated to 475,000 ha. The population exposure analysis using WorldPop data shows that ~6,400,000 people are potentially affected by floods in the analysed zone: ~2,300,000 are located in Chittagong Division and ~2,170,000 in Dhaka Division. Please note that for visualization purposesanalyzed area is wider than the extent of this map. 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: Neighborhoods in Western Benghazi City, Libya

This map illustrates satellite-detected areas of damage in the Al Thama, Al Sabri, Old Benghazi, Al Salmane Al Sharge, and Al Salmane Al Garbe 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 1,184 potentially damaged structures in these neighborhoods. Approximately 75 of these were destroyed, 198 severely damaged, 426 moderately damaged, and 485 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 16 and 18 July 2019 over Mandalay and Saigang States, Myanmar

**UNOSAT code: FL20190715MMR**  This map illustrates the cumulative satellite detected surface waters in Mandalay and Saigang States, Myanmar by using a Sentinel-1 images acquired on 16 and 18 July 2019. Over an area of about 450km2 of lands appear to be likely flooded. By using the population data from Worldpop, total of about 185,000 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)
Geodata of Damage Density in the Cities of Homs, Aleppo, Hama, Deir Ez Zor, Ar Raqqa, and Daraa, Syria

This map illustrates satellite-detected areas of damage and destruction in the Syrian cities of Homs, Aleppo, Hama, Deir Ez Zor, Ar Raqqa, and Daraa. Using satellite imagery from 2015, 2014, 2013, 2011, and 2010, UNITAR - UNOSAT created a damage site density index for affected areas in each city. City-wide analyses revealed a total of 13,778 affected structures in Homs, 14,034 in Aleppo, 5,233 in Hama, 3,416 in Deir Ez Zor, 1,601 in Ar Raqqa, and 966 in Daraa. The cities of Homs and Hama were not updated with 2015 imagery. This analysis was done of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. 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 waters extent, as of 24 March 2019 over Manicaland Province, Zimbabwe

This map illustrates the satellite detected surface waters in Manicaland Province, Zimbabwe, as observed from the Sentinel-1 data imagery acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 164,130 ha of surface waters were observed the 12 March 2019. and about of 406,600 ha of surface waters were observed the 24 March 2019. It represents an increase of 40 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Satellite data (pre-event) : Sentinel-1 
Imagery date: 12 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Satellite data (post-event) : Sentinel-1 
Imagery date: 24 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Boundary data: OCHA ROSEA 
Water body & waterway: COD 
Analysis : UNITAR-UNOSAT 
Production: UNITAR - UNOSAT

Tags: cyclones-hurricanes-typhoons, flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Sujjo IDP Camp, A'Zaz District, Aleppo Governorate, Syria

This map illustrates satellite-detected shelters and other buildings at the Sujjo IDP Camp in A'Zaz District, Syria. As of 05 June 2015, a total of  955 shelters were detected as well as 74 infrastructures and support buildings within the 12 hectares of the camp. 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 & IDP distribution over  Belet Weyne Town

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.  

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 15 December 2019 over Kota Tinggi and Mersing District, Johor State of Malaysia

**UNOSAT code: FL20191217MYS**  This map illustrates satellite-detected surface water in Kota Tinggi and Mersing district, Johor state of Malaysia as observed from Sentinel-1 imagery acquired on 15 December 2019. Within the analysed extent of about 1,300 km2, a total about 8 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 15 December 2019 may seriously underestimate the presence of standing floodwater in built-up areas due to backscattering of the radar signal

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Delthoma IDP Camp, Melut District, Upper Nile State, South Sudan

This map illustrates satellite-detected shelters and other buildings at the Delthoma IDP camp in Upper Nile State, South Sudan, as seen by the WorldView-1 satellite on 29 November 2015. This camp lies approximatively 5 km east of Melut and UNOSAT analyzed a total of 3,993 IDP structures (3,172 tent shelters, 239 improvised shelters and 582 tukuls) as well as 118 administrative structures. The camp is split into 5 individual camps and occupies a total area of 114.9 ha. 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)
Satellite detected waters extents, as of 18 November 2019 over Basse-Kotto Prefecture-CAR and Nord-Ubangi Province-DRC

**UNOSAT code: FL20191028CAF**  This map illustrates satellite-detected water surface in Central African Republic and Democratic Republic of The Congo as observed from Sentinel-1 imagery acquired on 18 November 2019. Within the analysed extent of about 760 km2, a total about 6 km2 of land appear to be flooded in Basse-Kotto Prefecture of Central African Republic and about 1 km2 of land appear to be flooded in Nord-Ubangi Province of Democratic Republic of The Congo. 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 Minkaman IDP Site, Awerial County, Lakes State , South Sudan

This map illustrates satellite-detected shelters and other buildings at the Minkaman IDP site in Lakes State, South Sudan, as seen by the WorldView-2 satellite. As of 13 January 2016, UNOSAT analyses located a total of 17,216 structures which include 713 administrative buildings, 1,538 improvised shelters, 490 permanent structures, 1,438 semi-permanent structures, and 13,037 tent shelters. Previous analysis from 12 February 2015 indicated 12,960 shelters and thus the updated analyses indicates an increase of approximately 33.6% in the number of shelters. Note that IDPs sheltering under trees are not detected by 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)
Geodata of IDP Structures in Wau Shilluk,  Upper Nile State, South Sudan

This map illustrates satellite-detected areas of IDP structures and structures in Wau Shilluk, Upper Nile State, South Sudan using WorldView-02 data recorded 17 February 2014 and 06 December 2013. An estimated 1,157 new shelters have been detected between 06 December 2013 and 17 February 2014 along the White Nile River. 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)
Tropical Cyclone Maria. Damage Density in the North-western Part of Dominica

This map illustrates potentially damaged structures and buildings in the north-western part of Dominica (St. John, St. Andrew, St. Peter & St. Joseph Parishes) as detected by satellite images acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades images acquired on 20 and 23 September 2017 as post imagery. Within the extent of this map UNITAR-UNOSAT identified in the cloud free zones about 3723 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 70 % 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.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)