Sudan imagery and land cover data

**UNOSAT code: FL20210812SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite Sentinel-2 image acquired on 10 August 2021 over the Aj Jazirah, Gedaref and Sennar states, Sudan. In this area, about 220 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 4 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 132 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20190815SDN** Preliminary satellite derived flood assessment in White Nile State, Sudan

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water North of Al Tura, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 12'700 ha, a total of 3700 ha of lands appear to be flooded as of 28 August 2019. However, the water seems to have retracted from the settlement 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.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Radarsat-2 imagery acquired on 27 August 2019. Within the analysed area of about 3,000 km2, a total 176 sq km of lands appear to be flooded as of 27 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in Khartoum, EI Gazira and White Nile State, Sudan as observed from Sentinel-2 imagery acquired on 16 August 2019. Within the analysed extent of about 41,600 sq km, a total about 2,061 sq km of lands appear to be flooded as of 16 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in Sennar State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 700 km2, a total about 23 km2 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.

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

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water over Aljammalab region, White Nile State in Sudan as observed from Pleiades imagery acquired on 28 August 2019. Within the analysed area of about 14,000 ha, a total of 7,200 ha of lands appear to be flooded as of 28 August 2019. Waters seem to have retracted from the settlement 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.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in Khartoum State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 3,200 km2, a total about 97 km2 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.

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.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in White Nile State, Sudan as observed from Sentinel-2 imagery acquired on 16 August 2019. Within the analysed extent of about 20,000 km2, a total about 1,485 km2 of lands appears to be flooded as of 16 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20190815SDN** This map illustrates satellite-detected surface water in the eastern part of the Red Sea district in Sudan as observed from Sentinel-2 image acquired on 15 August 2019. Within the analysed area of 1,500km2, 232 km2 of lands appear to be flooded as of 15 August 2019. This is a preliminary analysis and has not yet validated in the field. Please send your ground feedback to UNITAR-UNOSAT

**UNOSAT code: FL20190815SDN** This map illustrates the extent of surface waters detected over El Gazira, White Nile and Sennar states located in the southern part of Sudan as detected by VIIRS-NOAA satellite between 22 & 25 August 2019. In the analysed area, a total of about 7000 km2 are likely flooded and about 250,000 people might be affected by taking into account the WorldPop population estimates. This is a preliminary analysis that has not yet been validated in the field. Please send any field-based comments to UNITAR-UNOSAT.

**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.

**UNOSAT code: CE20230415SDN** This map illustrates damage to structures in the city of El Fasher, North Darfur, Republic of Sudan. The damage was investigated due to a significant occurrence of fire detections from May 9-20 2024. Fire detections are sourced from multiple US Government scientific satellites utilizing the MODIS and VIIRS sensors. While some fire detections may be non-violent in nature the large majority are firmly within areas of residential structures that show indications of burning in satellite imagery. Damaged areas are visible in satellite imagery from 11 November 2023 - 31 July 2024 and are heavily concentrated in the Eastern half of the city. In total, more than 23,600 structures are estimated to have been damaged or destroyed in these areas. Out of these 23,600 structures, approximately 2,000 were found damaged before 9 May 2024; 9,500 between 9 May and 23 May 2024; over 4,600 between 23 May and 1 June 2024; 3,900 between 1 June and 12 June 2024; 600 between 12 June 2024 and 26 June 2024; and 2,900 between 26 June 2024 and 31 July 2024. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20240826SDN, GDACS ID: 1102854** This map illustrates satellite-detected water extent in Tawkar Locality, Red Sea State, Sudan as observed from a Sentinel-2 satellite image acquired on 26 August 2024 at 10:06 local time (09:56 UTC). Within analysed area of about 4,600 km², a total of about 783 km² of land appears to be affected by floodwaters. Based on Worldpop population data and the flood extent, approximately 33,400 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 the United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20240826SDN, GDACS ID: 1102854** This map illustrates satellite-detected water extent in Al Fashir City, Al Fasher Department, Al Fasher State, Sudan as observed from a WorldView-2 satellite image acquired on 3 September 2024 at 10:43 local time (08:43 UTC). Within analysed area of about 270km², a total of about 100 km² of land appears to be affected by floodwaters. UNITAR-UNOSAT identified about 1,600 potentially affected structures within the analysed area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20240826SDN, GDACS ID: 1102854** This map illustrates satellite-detected water extents in the two towns of Ag Geneina and Kereneik, West Darfur State, Sudan as observed from a Sentinel-2 image acquired on 5 September 2024 at 11:06 local time (09:06 UTC). Within the analysed area of about 700 km², a total of about 50 km² of land appears to be affected by floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20240924SDN** This map illustrates satellite-detected water extent in El Geneina Department, West Darfur State, Sudan as observed from a Pléiades image acquired on 25 September 2024 at 11:46 local time. Within the cloud free analysed area of about 20,000ha, a total of about 8050ha of lands appear to be affected with flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 4 September 2021 over the Guli District, White Nile State of Sudan. In this area, about 80 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Guli District, White Nile State of Sudan. The water extent appears to have decreased of about 70 km2 since 14 September 2021. In this area, about 36 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite Kanopus-V image acquired on 22 September 2021 over Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 230 km2 since 12 September 2021. In this area, about 64 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 100 km2 since 14 September 2021. In this area, about 124 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 14 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 165 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite KANOPUS-V image acquired on 12 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 170 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 14 September 2021 over the Guli District, White Nile State of Sudan. In this area, about 55 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. The data is provided in near real time from January 2009 to 2021. **Data publication:** 2021-01-01 **Supplemental Information:** No data value: 255 Unit: class Scale Factor : 0.1 Map code : L3-LCC-D **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [WaPOR](mailto:wapor@fao.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Data lineage:** A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Classes: Class Caption 2 Tree cover (open) 4 Grassland 5 Bare 7 Artificial 8 Wheat 12 Fallow 17 Wetland 19 Water 24 Cotton 26 Onions 33 Sorghum 35 Groundnut 36 Pigeon pea 37 Chickpea 38 Okra 39 Tomatoes 42 Cowpea 43 Sesame 44 Soyabean 108 Irrigated wheat 124 Irrigated cotton 126 Irrigated onions 133 Irrigated sorghum 135 Irrigated groundnut 136 Irrigated pigeon pea 137 Irrigated chickpea 138 Irrigated okra 139 Irrigated tomatoes 142 Irrigated cowpea 143 Irrigated sesame 144 Irrigated soyabean 255 no data **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage

The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. The data is provided in near real time from January 2009 to 2021. **Data publication:** 2021-01-01 **Supplemental Information:** No data value: 255 Unit: % Scale Factor : 0.1 Map code : L3-QUAL-LCC-S **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [WaPOR](mailto:wapor@fao.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Data lineage:** A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage