Myanmar imagery and land cover data

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25 datasets about imagery and land cover in Myanmar.

Maxar 10300101108FC600 Myanmar

satellite imagery by Maxar, acquired 2025-03-31 to 2025-03-31, 32.9 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Maxar 10400100A4699C00 Myanmar

satellite imagery by Maxar, acquired 2025-03-30 to 2025-03-30, 33.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Maxar 1030010110C88400 Myanmar

satellite imagery by Maxar, acquired 2025-03-31 to 2025-03-31, 33.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Maxar 1030010110B24A00 Myanmar

satellite imagery by Maxar, acquired 2025-03-30 to 2025-03-30, 32.9 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Maxar 103001011008D900 Myanmar

satellite imagery by Maxar, acquired 2025-04-03 to 2025-04-03, 32.9 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Maxar 10300101112F4700 Myanmar

satellite imagery by Maxar, acquired 2025-04-03 to 2025-04-03, 32.7 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar
Sagaing_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-03-30 to 2025-03-30, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
lamphelpat

uav imagery by JM, acquired 2025-08-31 to 2025-09-29, 14.7 cm per pixel, published on OpenAerialMap.

Imagery and land cover · JM
Sagaing_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-03-30 to 2025-03-30, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
Sagaing_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-03-30 to 2025-03-30, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
Sagaing_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-03-30 to 2025-03-30, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
Mandalay_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-03-30 to 2025-03-30, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
Meiktila_post2025Earthquake_MaxarODP_50cm

satellite imagery by Maxar Open Data Program, acquired 2025-04-02 to 2025-04-02, 30.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Maxar Open Data Program
Satellite detected water extent, as of 16 and 18 July 2019 over Kachin state, Myanmar

**UNOSAT code: FL20190715MMR** This map illustrates the cumulative satellite detected surface waters in Kachin, Myanmar by using a Sentinel-1 images acquired on 16 and 18 July 2019. Over an area of about 370 km2 of lands appear to be likely flooded. By using the population data from Worldpop, total of about 34,000 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Fire Detections in Buthidaung, Maungdaw, and Rathedaung Townships of Rakhine State in Myanmar

This map illustrates areas of satellite detected fires in Buthindaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite- fire detections collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on multiple dates from 25 August to 25 November 2017. A total of 171 fires were detected in different areas across Rathedaung, Buthindaung and Maungdaw townships during this period. While fire detections were spread out across the entire period analyzed, some notable clusters occurred on 28 August, 29 August, 3 September, 15 September, 25 September, 9 October, and 6 November, as indicated in the map. Days of peak fire detection occurred on 28 August and 15 September as indicated in the chart. Note that due to cloud cover and satellite overpass times many fires occurring in the area during this period would not have been detected, and are generally only detected if the satellites are overhead while the fire is sufficiently active and clouds are not interfering. 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 Extent Over Northwestern Rakhine State, Myanmar

This map illustrates satellite-detected flood waters in the northwestern part of Rakhine State in the townships of Kyauktaw, Mrauk-U and Ponnagyun, Myanmar as imaged by the SENTINEL-1 satellite on 14 July 2016. Heavy rains at the onset of the monsoon season have caused flooding. The most affected lands seem to be mainly agricultural and/or paddy fields, many of which are of course frequently inundated at other times as well. 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)
Destroyed areas in Buthidaung, Maungdaw, and Rathedaung Townships of Rakhine State in Myanmar

This map illustrates areas of satellite-detected destroyed or otherwise damaged settlements in Buthidaung, Maungdaw, and Rathedaung Townships in the Maungdaw and Sittwe Districts of Rakhine State in Myanmar. Analysis used satellite imagery collected on multiple dates between 31 August and 11 October 2017 and encompassed an area of about 4,800 square kilometers. Satellite analysis combined with information on settlement locations in Myanmar indicate that approximately 275 towns and villages were affected. This includes 34 in Buthidaung, 225 in Maungdaw, and 16 in Rathedaung. Note that these locations are indicated on the map though only a sampling are labeled due to the limitations of the map size and scale. Inset graphics show what is likely the village of Hpaw Ti Kaung, destroyed sometime between 16 September and 1 October 2017, with only a few structures and trees undamaged. Continued cloud cover and haze during the period in question means that destruction is 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.

Imagery and land cover · 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.

Imagery and land cover · 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.

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected damage in the UNESCO Tentative List Site, Ancient Cities of Upper Myanmar: Mandalay as of 30 March 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** This map shows the locations where damage was detected based on a very high resolution satellite image collected 30 March 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intensity of the earthquake measured 7.5-8.0 in this area. Across the site, 17 damaged buildings within the cultural site were observed and an additional 9 buildings have possible damage. The wall surrounding Mandalay is damaged in multiple locations. 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected damage in the UNESCO World Heritage Site, Bagan: Component 7 as of 03 April 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** The map shows no visible damage within the World Heritage Site when analysed using a very high resolution image collected 3 April 2025 when compared to imagery from May 2023. The USGS shake map indicates the intensity of the earthquake measured 5.5-6.5 in this 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected Damage to Cultural Heritage in Tada-U as of 03 April 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** This map shows the locations where damage was detected based on a very high resolution satellite image collected 03 April 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.5 in this area. Across the site, 34 damaged buildings within the cultural site were observed and an additional 7 buildings have possible damage. 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected damage in the cultural property Pinya as of 30 March 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** This map shows the locations where damage was detected based on a very high resolution satellite image collected 30 March 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.5 in this area. Across the site, 6 damaged buildings within the cultural site were observed and an additional 5 buildings have possible damage. 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected Damage in the Cultural Property Mahamuni Pagoda as of 30 March 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** The map shows no visible damage within the cultural site when analysed using a very high resolution image collected 3 April 2025 when compared to Pleiades satellite series. The USGS shake map indicates the intensity of the earthquake measured 5.5-6.5 in this 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)
Satellite-detected damage to cultural heritage in Min Kun as of 03 April 2025

**UNOSAT code: EQ20250328MMR, GDACS ID: 1474477** This map shows the locations where damage was detected based on a very high resolution satellite image collected 03 April 2025 when compared to very high resolution satellite imagery from 23 March 2025. The USGS shake map indicates the intentsity of the earthquake measured 8.0 - 8.5 in this area. Across the site 11 damaged cultural heritage locations were observed and an additional 3 have possible damage. 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).

Imagery and land cover · United Nations Satellite Centre (UNOSAT)