Japan environment data

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7 datasets about environment in Japan.

Japan Ofunato Wildfires: Damage Proxy Map, Mar 2025

# EOS-RS Damage Proxy Map: Ofunato, Japan, Wildfire, 08 Mar 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 Ofunato, Japan, due to several wildfires. 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 (11 Aug 2024 to 24 Feb 2025) and during (08 Mar 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 and ground-level plus aerial 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 (2024-2025), 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:** EOS-RS_202503_Japan_Ofunato_Wildfires/ **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

Environment · Earth Observatory of Singapore
Japan Typhoon Shanshan: Damage Proxy Maps, Sep 2024

# Japan Typhoon Shanshan: Damage Proxy Maps, Sep 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Japan Typhoon Shanshan (Sep 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 ## Maps in this dataset - **EOS-RS Damage Proxy Map: Japan, Typhoon Shanshan, 5 Sep 2024, v0.8 wbd** (superseded) - **EOS-RS Damage Proxy Map: Japan, Typhoon Shanshan, 5 Sep 2024, v0.8 ** **More map details and files:** **More map details and files:** **Legal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)

Environment · Earth Observatory of Singapore
Japan Heavy Rains: Damage Proxy Maps, Jul 2020

# Japan Heavy Rains: Damage Proxy Maps, Jul 2020 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech, in collaboration with the Earth Observatory of Singapore (EOS), produced these damage proxy maps for Japan Heavy Rains (Jul 2020) 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 - **ARIA-SG Damage Proxy Map: Japan, Heavy Rains, 6 Jul 2020, v0.5 ** - **ARIA-SG Damage Proxy Map: Japan, Heavy Rains, 6 Jul 2020, v0.5 ** **More map details and files:**

Environment · Earth Observatory of Singapore
Japan Typhoon Hagibis: Flood Proxy Maps, Oct 2019

# Japan Typhoon Hagibis: Flood Proxy Maps, Oct 2019 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech, in collaboration with the Earth Observatory of Singapore (EOS), produced these flood proxy maps for Japan Typhoon Hagibis (Oct 2019) 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 - **ARIA-SG Flood Proxy Map: Japan Typhoon Hagibis, 15 Oct 2019, v0.1 ** - **ARIA-SG Flood Proxy Map: Japan Typhoon Hagibis, 14 Oct 2019, v0.1 ** - **ARIA-SG Flood Proxy Map: Japan, Typhoon Hagibis, 12 Oct 2019, v0.5 ** (superseded) - **ARIA-SG Flood Proxy Map: Japan, Typhoon Hagibis, Fukushima, 12 Oct 2019, v0.5 ** - **ARIA-SG Flood Proxy Map: Japan, Typhoon Hagibis, 12 Oct 2019, v0.1 ** (superseded) **More map details and files:**

Environment · Earth Observatory of Singapore
Japan Floods: Flood Proxy Maps, Aug 2019

# Japan Floods: Flood Proxy Maps, Aug 2019 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech, in collaboration with the Earth Observatory of Singapore (EOS), produced these flood proxy maps for Japan Floods (Aug 2019) 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 - **ARIA-SG Preliminary Flood Proxy Map: Japan, 2019 Floods v0.5 P22** (superseded) - **ARIA-SG Preliminary Flood Proxy Map: Japan, 2019 Floods v0.5 P131** **More map details and files:**

Environment · Earth Observatory of Singapore
Japan - GLIDE Disaster Events

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Environment · GLIDE Initiative
Japan: Cyclone - Tropical depression - Aug 2023

A cyclone (tropical depression) during the period Jul 27 2023-Aug 10 2023 in Japan. It impacted 1141318 people.

Environment · WFP Automated Disaster Analysis & Mapping