Bangladesh imagery and land cover data

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104 datasets about imagery and land cover in Bangladesh.

Chattogram UAV 55

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-08-31 to 2026-09-01, 3.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Geo-Planning for Advanced Development (GPAD)
Chattogram UAV 54

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-08-30 to 2026-08-31, 3.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Geo-Planning for Advanced Development (GPAD)
Chattogram UAV 57

uav imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-09-05 to 2026-09-06, 3.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Geo-Planning for Advanced Development (GPAD)
Chattogram UAV 49

satellite imagery by Geo-Planning for Advanced Development (GPAD), acquired 2026-08-28 to 2026-08-29, 3.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Geo-Planning for Advanced Development (GPAD)
IOM Bangladesh - Needs and Population Monitoring (NPM) UAV imagery and GIS package by camp (January 2019)

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of January 2019 is based on NPM Baseline Assessment 14 (as of 19 December 2018) and NPM most updated drone imagery (as of 23 January 2019). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
Gulshan 1

uav imagery by Jurgon, acquired 2025-05-14 to 2025-05-15, 3.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Jurgon
Vita

uav imagery by sefl, acquired 2025-12-30 to 2025-12-31, 1.3 cm per pixel, published on OpenAerialMap.

Imagery and land cover · sefl
Gulshan 1

uav imagery by Jurgon, acquired 2025-05-14 to 2025-05-15, 3.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Jurgon
hatirjheel_partial

uav imagery by GPAD, acquired 2026-09-08 to 2026-09-09, 2.9 cm per pixel, published on OpenAerialMap.

Imagery and land cover · GPAD
IOM Bangladesh - Needs and Population Monitoring (NPM) UAV imagery and GIS package by camp (March 2019)

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of March 2019 is based on NPM Site Assessment 14 (as of 13 February 2019) and NPM UAV imagery (as of 23 January 2019). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
IOM Bangladesh - Needs and Population Monitoring (NPM) Drone imagery and GIS package by camp (July 2018)

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of July 2018 is based on NPM Site Assessment 11 (as of 22 July) and NPM most updated drone imagery (as of 2 August). Here below, the complete package by camp: - SW Map package - KMZ file - Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
IOM Bangladesh - Needs and Population Monitoring (NPM) Drone imagery and GIS package by camp (November 2018)

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of November 2018 is based on NPM Site Assessment 13 (as of 20 November) and NPM most updated drone imagery (as of 26 September). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
IOM Bangladesh - Needs and Population Monitoring (NPM) Drone imagery and GIS package by camp (August 2018)

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights. The package of August 2018 is based on NPM Site Assessment 12 (as of 4 September) and NPM most updated drone imagery (as of 11 September). Here below, the complete package by camp: - SW Map package - KMZ file - Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
IOM Bangladesh - Needs and Population Monitoring (NPM) UAV imagery and GIS package by camp (November 2019)

NPM Bangladesh has produced a number of tools based on its regular data collection activities. The package of November 2019 is based on NPM Site Assessment 16 (during the months of 21st August – 10th October) and NPM most updated drone imagery (as of 23 January 2019). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
Satellite detected water extent as of 18 July 2020 over Mymensingh, Rajshahi and Rangpur Divisions, Bangladesh

**UNOSAT code: FL20200713BGD** This map illustrates satellite-detected surface waters over Mymensingh, Rajshahi and Rangpur Division of Bangladesh as observed from a TerraSAR-X image acquired on 18 July 2020. Within the analyzed area of about 9,000 km2, a total of about 2,860 km2 of lands appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please sendground 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 19 July 2020 in NE Bangladesh

**UNOSAT code: FL20200713BGD** This map illustrates satellite-detected surface waters over Bangladesh as observed from a TanDEM-X image acquired on 19 July 2020 due to the current monsoon rains. Within the analyzed area of about 14,000 km2, a total of about 6,800 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected water extent as of 19 July 2020 of Bangladesh

**UNOSAT code: FL20200713BGD** This map illustrates satellite-detected surface waters in the central parts of Bangladesh as observed from a Sentinel-1 image acquired on 19 July 2020 and 13 July 2020. Within the analyzed area of about 40,000 km2, a total of about 8,700 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 Sentinel-1 imagery acquired on 19 July 2020 and 13 July 2020 may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Khulna division, Bangladesh

**UNOSAT code: TC20200518BGD** This map illustrates satellite-detected surface waters in Bagerhat, Jessore, Khulna, Narail, and Satkhira district of Khulna division, Bangladesh as observed from a Sentinel-1 image acquired on 25 May 2020. Within the analyzed area of about 8,320 km2, a total of about 1,000 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in Central & Northern Bangladesh

This map illustrates satellite-detected surface water extent in the central and northern parts of Bangladesh using a Sentinel-1 satellite image acquired on the 22 August 2017. The total analysed area is about 4,284,431 ha. In this analysed area; 1,099,369 ha (39%) of lands are likely affected. These lands are mainly cropland irrigated and rainfed areas and estimated to 1,039,350 ha. The population exposure analysis using WorldPop data shows that ~10,000,000 people are potentially affected by floods in the analysed zone: ~5,400,000 are located in Dhaka Division and ~2,750,000 in Rajshahi Division. Please note that for visualization purposes the analyzed 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in the Northwestern Part of Bangladesh

This map illustrates satellite-detected surface water extent in the northern part of Bangladesh using a TerraSAR-X satellite image acquired on the 16 August 2017. In the analysed area; 221,915 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 2,143,586 people are potentially affected by floods in this analysed zone: ~1,800,000 are located in Rangpur Division and ~280,000 in Dhaka Division. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters Evolution by Camp Extent in Cox's Bazar District, Chittagong Division, Bangladesh

This map illustrates the evolution of satellite detected waters and the related wet conditions in the Cox's Bazar Myanmar nationals refugee camps located in Ukhia Upazilla, as deduced from the analysis of two Radarsat-2 Spotlight images with 0.5m resolution acquired on 16 June 2018 & 23 May 2018. The evolution of surface waters was classified into three classes of change: low, moderate and high. This analysis shows that some camps experienced a lower increase of wet conditions/surface waters, as camp 1W and camp 2E. Whereas some have moderately changed, as camp 2W, camp 6 and camp 14, others have greatly changed, as camp 17, camp 8W and camp 20 and its extension. 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite detected waters in Khulna division, Bangladesh as of 31 May 2020

**UNOSAT code: TC20200518BGD** This map illustrates satellite-detected surface waters in Bagerhat, Jessore, Khulna, Narail, and Satkhira district of Khulna division, Bangladesh as observed from a Sentinel-1 image acquired on 31 May 2020. Within the analyzed area of about 8,320 km2, a total of about 462 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in NE Bangladesh & NE India

This map illustrates satellite-detected surface water extent in the northeastern parts of Bangladesh (Sylhet distric) & India (Assam, Tipura and Mizoram states) using a Sentinel-1 satellite image acquired on the 15 June 2018. The analysis shows an increase of surface waters in Sylhet district (Bangladesh) and Assam state (India). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in Central Bangladesh

This map illustrates satellite-detected surface water extent in the central part of Bangladesh using a Sentinel-1 satellite image acquired on the 12 August 2017 with a total surface of 4,280,650 ha. In this analyzed area; 1,644,983 ha (38%) of lands are likely affected. These lands are are mainly cropland irrigated and rainfed areas and estimated to 1,576,351 ha. The population exposure analysis using WorldPop data shows that ~17,000,000 people are potentially affected by floods in the analysed zone: ~8,400,000 are located in Dhaka Division and ~5,750,000 in Rajshahi Division. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent and Evolution Over Central Bangladesh

This map illustrates satellite-detected water extent and evolution in Dhaka and Rajshahi divisions of the Central 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. 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in Sylhet Division, Bangladesh

This map illustrates satellite-detected surface water extent in the northeastern part of Bangladesh using a Sentinel-1 satellite image acquired on the 15 June 2018. In the analysed area; about 500,000 ha of lands are likely affected. The population exposure analysis using WorldPop data shows that 3,500,000 people are potentially affected by floods in this analysed zone: ~1,500,000 are located in Sylhet Division and ~1,000,000 in Sumanganj Division and about 35% of the population is leaving within or close to inundated areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Water Extent and Evolution Over Eastern part of Bangladesh

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.

Imagery and land cover · 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters Evolution in Central Bangladesh - Preliminary Report

Preliminary Satellite Detected Waters Evolution in Central Bangladesh Report (28 July 2016)

Imagery and land cover · 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
IOM Bangladesh - Needs and Population Monitoring (NPM) UAV imagery and GIS package by camp (July 2019)

NPM Bangladesh has produced a number of tools based on its regular data collection activities. The package of July 2019 is based on NPM Site Assessment 15 (as of 24 June 2019) and NPM most updated drone imagery (as of 23 January 2019). Here below, the complete package by camp: SW Map package KMZ file Drone image The full image and shapefiles are available at this link.

Imagery and land cover · International Organization for Migration (IOM)
Land cover (Bangladesh - 2015)

Land cover of Bangladesh for the year 2015 based on SPOT 6m multispectral image segmentation and interpretation. Land cover classes are defined using Land Cover Classification System (LCCS) and are based on the National Land Representation system (NLRS). **Data publication:** 2018-06-06 **Contact points:** Resource Contact: [Bangladesh Forest Information System](mailto:bfis.rims.fd@gmail.com) Metadata Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Land_Cover_Bangladesh_2015_classes.csv Bangladesh Forest Department

Imagery and land cover · National Forest Monitoring Systems (NFMS)