India environment data

# EOS-RS Flood Proxy Map: Odisha State, India, Cyclone Dana Floods, 28 Oct 2024, 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 Odisha State, India, due to heavy rainfall from Cyclone Dana. 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 (7 Feb 2024 to 16 Oct 2024) and after (28 Oct 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) due to the heavy rainfall from Cyclone Dana. Preliminary validation was conducted using news reports, aerial imagery, and ground-level imagery 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), 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)

# India Floods: Flood Proxy Maps, Jul 2023 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these flood proxy maps for India Floods (Jul 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 Flood Proxy Map: New Delhi, India, Floods, 12 Jul 2023, v0.9** - **EOS-RS Flood Proxy Map: Northern Haryana, India, Floods, 12 Jul 2023, v0.4** (superseded) - **EOS-RS Flood Proxy Map: New Delhi, India, Floods, 12 Jul 2023, v0.4** (superseded) **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified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 (2022-2023)

# India Floods: Flood Proxy Maps, Oct 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these flood proxy maps for India Floods (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 Flood Proxy Map: India, Floods, 16 Oct 2022, v0.5** - **EOS-RS Flood Proxy Map: India, Floods, 15 Oct 2022, v0.5** (superseded) - **EOS-RS Flood Proxy Map: India, Floods, 15 Oct 2022, v0.5** - **EOS-RS Flood Proxy Map: India, Floods, 14 Oct 2022, v0.5** **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)

# India Floods: Flood Proxy Maps, Jun 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these flood proxy maps for India Floods (Jun 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 Flood Proxy Map: India, Floods, 22 Jun 2022, v0.4** - **EOS-RS Flood Proxy Map: India, Floods, 21 Jun 2022, v0.3** **More map details and files:** **More map details and files:**

# EOS-RS Flood Proxy Map: India, Floods, 18 May 2022, 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 Assam, India due to heavy rains that started on 13 May 2022. 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 (6 May 2022) and during (18 May 2022) the event. The image covers an area indicated by the large white polygon. Each light blue pixel measures about 30 meters across. This map was validated using reports of flooded areas in New Haflong Railway Station and along the Kampur-Kathiatoli Road. 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. The product contains modified Copernicus Sentinel data (2022), 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:**

# India Floods: Flood 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 flood proxy maps for India Floods (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 Flood Proxy Map: India, Floods, 15 Jul 2020, v0.7 ** - **ARIA-SG Flood Proxy Map: India, Floods, 13 Jul 2020, v0.7 ** **More map details and files:**

# ARIA-SG Flood Proxy Map: India Floods, 30 Sep 2019, v0.1 Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (21 May) and during (30 Sep) 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:**

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.

**ADAM ID: 1000975\_37** Cyclone (tropical storm) during the period Jun 06 2023-Jun 15 2023 in India, Pakistan. It impacted 0 people.

**ADAM ID: 1001037\_6** Cyclone (tropical storm) during the period Dec 03 2023-Dec 04 2023 in India. It impacted 0 people.