Nepal GIS data

uav imagery by Rabi Shrestha, acquired 2026-03-09 to 2026-03-09, 1.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-27 to 2026-08-27, 34.5 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-27 to 2026-08-27, 37.4 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-07 to 2026-09-07, 57.7 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor , acquired 2026-09-01 to 2026-09-01, 52.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-28 to 2026-08-28, 54.2 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-08 to 2026-09-08, 53.1 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-28 to 2026-08-28, 40.3 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-09-06 to 2026-09-06, 38.9 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-28 to 2026-08-28, 58.1 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2026-08-31 to 2026-08-31, 60.1 cm per pixel, published on OpenAerialMap.

Earthquake impacts mapping from drone data in Nepal (Sanfebagar, Achham District, Sudurpashchim Province) from GLOBHE Crowddroner. The dataset includes high-resolution actionable drone data showing the area impacted from the earthquakes of early November 2022. Reference: https://reliefweb.int/disaster/eq-2022-000358-npl MORE CROWDDRONING BY GLOBHE Web: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/

Earthquake impacts mapping in Nepal (Sayapada, Chaurpati-0, Achham) from GLOBHE Crowddroner. The dataset includes high-resolution actionable drone data showing the area impacted from the earthquakes of early November 2022. Reference: https://reliefweb.int/disaster/eq-2022-000358-npl MORE CROWDDRONING BY GLOBHE Web: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/

Earthquake impacts mapping from drone data in Nepal (Gairagaun, Pubichauki rural municipality ward-3, Doti) from GLOBHE Crowddroner. The dataset includes high-resolution actionable drone data showing the area impacted from the earthquakes of early November 2022. Reference: https://reliefweb.int/disaster/eq-2022-000358-npl MORE CROWDDRONING BY GLOBHE Web: https://globhe.com/ Facebook: https://www.facebook.com/Crowddroning Twitter: https://twitter.com/globhedrones Instagram: https://www.instagram.com/globhedrones/ LinkedIn: https://www.linkedin.com/company/globhedrones/

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nepal: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

A compilation of publicly available data from the National Earthquake Monitoring and Research Center, Government of Nepal, Ministry of Industry, Commerce and Supplies, Department of Mines and Geology. The accuracy and completeness of the data are subject to the original source.

Overture building footprints and IHME population estimates in the identified impacted area from the 26 August flash flood in Nepal. - 37 sq km impacted - 4,977 intersecting Overture building footprints - IHME 2026 Population Estimate 10,203.8

OpenStreetMap and Overture Maps vector layers for the full Bhote Koshi and Trishuli river corridor in Bagmati and Gandaki Provinces, Nepal, for the 2026 flood response. The area of interest is a 1 km buffer around the river centrelines, running from Rasuwagadhi on the China border to the Narayani confluence at Devghat in Chitawan, across Rasuwa, Nuwakot, Dhading, Gorkha, Tanahu and Chitawan. It merges the original partner shapefile for the upper reach with OCHA's HPCS corridor downstream. This is the wide planning view, the whole corridor under assessment rather than the ground that flooded. For data limited to the flooded area, use Nepal Flood 2026 Flood Affected Area, which clips every layer to the observed inundation footprint of 27 August 2026 and a 200 m margin around it. Every layer holds what is standing and what has been lost, so buildings and roads do not vanish from a download once mappers record them as destroyed. `status` says Standing, Damaged or Destroyed, and the Destroyed and Damaged Features layer gathers everything marked destroyed or damaged in one place. Layers are rebuilt straight from OpenStreetMap each day, so they carry volunteer work as it lands. Buildings, schools, health facilities and points of interest also come in an Overture version, which fuses Microsoft, Google and OpenStreetMap and reaches ground volunteers have not mapped yet. Overture follows its own release cycle and will not show mapping done during this response, so for damage work prefer the OpenStreetMap layers and use Overture where their coverage is thin. Subscribe to the dataset for updates as mapping progresses. - Source: OpenStreetMap, Overture Maps - Part of HOT disaster response exports on HDX by HOT

Part of the Humanitarian OpenStreetMap Team response activation for the 26 August 2026 Bhote Koshi and Trishuli flash flood in Nepal. AI-scored building damage per OpenStreetMap footprint across the upper Trishuli and Bhote Koshi corridor, from Rasuwagadhi to the Narayani confluence. Post imagery is a 26-scene Vantor open-data composite (2026-08-27 to 2026-09-08, roughly 0.4 m/px, about 9.8% cloud). Pre imagery is ESRI World Imagery. Building footprints come from OpenStreetMap and cover 20,367 features in the corridor; 8,421 fall inside the analyzed area and carry an AI damage class. Each feature carries `osm_id`, `osm_type`, `building`, a `damage` label (`no-visible-damage`, `minor-damage`, `major-damage`, `destroyed`) and a `damage_confidence`. Evaluated and validated against 3,896 OSM manually tagged affected buildings (3,185 destroyed + 711 damaged, 2026-09-12): destroyed precision 0.91, recall 0.78, F1 0.84; severe (major + destroyed) recall against manually tagged affected buildings 0.75. The reference layer is included in this dataset. Post-event imagery TMS: ``` https://titiler.hotosm.org/cog/tiles/WebMercatorQuad/{z}/{x}/{y}?url=https://production-raw-data-api.s3.amazonaws.com/ISO3/NPL/buildings/hot_flood_npl_buildings_damage_post.tif ``` For the wider corridor context, see Nepal Flood 2026 Flood Affected Area. - Source: OpenStreetMap, Vantor open data, ESRI World Imagery - Part of HOT disaster response exports on HDX by HOT

The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

# EOS-RS Damage Proxy Map: Nepal, Floods , 28 August 2026, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Nepal along the Trishuli River due to glacial collapse at the peak near Langtang Lirung on 26 August 2026. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (05 May 2026 to 16 August 2026) and during (28 August 2026) the event. The map covers the area indicated by the white polygon. Damage is shown by colored pixels of approximately 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, pictures and videos in selected areas. This map should be used as guidance to identify damaged areas and may be less reliable over vegetated or mountainous areas. Scattered pixels over such areas may be false positives, and a lack of colored pixels does not necessarily indicate an absence of damage. This product contains modified Copernicus Sentinel data (2026), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

# EOS-RS Damage Proxy Map: Rasuwa District, Nepal, Floods, 9 July 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Rasuwa District, Nepal, due to heavy rainfall or possibly a glacial lake outburst. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (10 Oct 2024 to 27 Jun 2025) and after (9 Jul 2025) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, ground-level images, and satellite images in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. This product contains modified Copernicus Sentinel data (2024-2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** /faq/ **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

# EOS-RS Damage Proxy Map: Mustang District, Nepal, Floods, 9 July 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Mustang District, Nepal, due to heavy rainfall or possibly a glacial lake outburst. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (27 Feb 2025 to 27 Jun 2025) and after (9 Jul 2025) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, ground-level images, and satellite images in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. This product contains modified Copernicus Sentinel data (2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** /leaflet/EOS-RS_202507_Nepal_Mustang _District_Floods **Legal Disclaimer:** /faq/ **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Flood Proxy Map: Kailali District, Nepal, Floods, 3 July 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Kailali District, Nepal, due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (5 Nov 2024 to 21 Jun 2025) and after (3 Jul 2025) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to heavy rainfall. Preliminary validation was conducted using news reports, ground-level images, and aerial images in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2024-2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

# EOS-RS Damage Proxy Map: Tilwa, Nepal, Glacial Lake Outburst Flood, 16 May 2025, v0.7 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Tilwa, Namkha Rural Municipality-6 of Humla, Nepal following a glacial lake outburst flood on 15 May 2025. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (16 Jan 2025 to 4 May 2025) and after (16 May 2025) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, with the cluster of red pixels validated using optical imagery to confirm the extent of the glacial lake outburst flood. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. The product contains modified Copernicus Sentinel data (2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Damage Proxy Map: Nepal, Glacial Lake Outburst Floods, 19 Aug 2024, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in the vicinity of Thame, Solukhumbu, Nepal following a glacial lake outburst flood on 16 Aug 2024. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (20 Apr 2024 to 7 Aug 2024) and after (19 Aug 2024) the event (16 Aug 2024). The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, aerial imagery and videos, and ground-level imagery in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. The product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# EOS-RS Flood Proxy Map: Nepal, Floods, 03 Aug 2024, v0.5 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in the Kathmandu Valley, Nepal due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (22 Jul 2024) and after (03 Aug 2024) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) in the Kathmandu Valley, Nepal due to heavy rainfall. Preliminary validation was conducted using news reports and ground-level images of flooding in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. The product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# EOS-RS Damage Proxy Map: Nepal, Avalanche, 24 Aug 2024, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in the vicinity of Kobang, Mustang District, Nepal following an avalanche on 23 Aug 2024. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (26 Apr 2024 to 12 Aug 2024) and after (24 Aug 2024) the event (23 Aug 2024). The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, aerial imagery, and ground-level imagery and videos in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. The product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# Nepal Landslide: Damage Proxy Maps, Jul 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Nepal Landslide (Jul 2024) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Nepal, Landslide, 14 July 2024, v0.8 wbd** (superseded) - **EOS-RS Damage Proxy Map: Nepal, Landslide, 14 July 2024, v0.8 wbd** (superseded) - **EOS-RS Damage Proxy Map: Nepal, Landslide, 14 July 2024, v0.8 ** - **EOS-RS Damage Proxy Map: Nepal, Landslide, 14 July 2024, v0.8 ** **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# EOS-RS Flood Proxy Map: Nepal, Floods, 12 July 2024, v0.5 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Kanchanpur and Kailali Districts, Nepal due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (30 Jun 2024) and after (12 Jul 2024) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) in Kanchanpur and Kailali Districts, Nepal due to heavy rainfall. Preliminary validation was conducted using news reports of flooding in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. The product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# Nepal Earthquake: Damage Proxy Maps, Nov 2023 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Nepal Earthquake (Nov 2023) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Nepal, Earthquake, 6 Nov 2023, v0.7** - **EOS-RS Damage Proxy Map: Nepal, Earthquake, 6 Nov 2023, v0.7** **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2023)

# Nepal Avalanche: Damage Proxy Maps, Oct 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Nepal Avalanche (Oct 2022) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Manaslu, Nepal, Avalanche, 5 Oct 2022, v0.8** - **EOS-RS Damage Proxy Map: Manaslu, Nepal, Avalanche, 5 Oct 2022, v0.8** - **EOS-RS Damage Proxy Map: Manaslu, Nepal, Avalanche, 5 Oct 2022, v0.4** (superseded) - **EOS-RS Damage Proxy Map: Manaslu, Nepal, Avalanche, 5 Oct 2022, v0.4** (superseded) **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2022)

# ARIA-SG Damage Proxy Map: Nepal, Landslide, 20 Jun 2021, v0.4 Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (8 Jun) and after (20 Jun) the event. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. **More map details and files:** Due to steep topography of this area, parts of the map may be subject to slight shift in location or being in radar shadow (i.e. not visible). **More map details and files:**