Satellite detected waters extents, as of 15 December 2019 over Pahang 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

**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in Khammouan and Savannakhet Province of Lao PDR as observed from Sentinel-1 imagery acquired on 11 September 2019. Within the analysed extent of about 8,300 km2, a total about 332 km2 of land appear to be flooded as of 11 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 11 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal

**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.

# EOS-RS Flood Proxy Map: Malaysia, Floods, Dec 2021, v0.4 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in north and central Peninsular Malaysia due to heavy rains. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (9 Dec 2021) and during (21 Dec 2021) the event. The image covers an area indicated by the large white polygon. Each light blue pixel measures about 30 meters across. This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas. Sentinel-1 data were accessed through the Copernicus Open Hub and AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds). The product contains modified Copernicus Sentinel data (2021), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS. **More map details and files:** **More map details and files:**

**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

**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.