Flood delineation and flood damage assessment, Iran (2020-04-09)

Open data API in a single place

Provided by Joint Research Centre

Get early access to Flood delineation and flood damage assessment, Iran (2020-04-09) API!

Let us know and we will figure it out for you.

Dataset information

Country of origin
Updated
2020.04.09 00:00
Created
2020.04.09
Available languages
English
Keywords
IRN, Copernicus EMS, Mapping, Risk and Recovery Mapping, Emergency Management, Copernicus Emergency Management Service, CEMS, Copernicus Emergency Management Service Risk and Recovery Mapping Activation, Emergency, Flood, Copernicus, Copernicus Service, EMSN066, Iran
Quality scoring
160

Dataset description

<br/> Activation date: 2020-04-09 <br/> Event type: Flood <br/> <br/> Activation reason: <br/> The scope of the service request EMSN-066 is to delineate the extent and assess damage of 9 to 11 January 2020 flood event, in South-East Iran. As predicted by Copernicus EMS service GloFAS, days of heavy rain from 9 to 11 January 2020 caused severe flooding in southern Iran, in Sistan and Baluchestan, Hormozgan and south of Kerman provinces. Flooding has blocked roads and damaged houses, bridges, crops and infrastructure. Dozens of areas have been left isolated after roads were damaged or blocked. The results of this activation relate to service activation by DG ECHO &ndash; ERCC, on behalf of the Iranian Space Agency, in order to obtain data for evaluating the overall impact of this recent flood, for better planning and budgeting the recovery phase.This activation is complementary to CEMS RRM Standard activation EMSN067 (https://emergency.copernicus.eu/EMSN067).Multitemporal optical and radar Earth Observation data, consisted of pre-event and post-event Sentinel-1 and Sentinel-2 that covered the southern coast of Iran and as defined in the 3 Areas of interest, were used.Proposed solution and resultsProduct 1: Flood delineationFlood extent and delineation derived from pre and post-event satellite images using a semi-automatic approach combining optical and SAR data from Sentinel-2 and Sentinel-1 respectively.The workflow consisted on three steps:1) Extraction of the initial flooded areas from Sentinel-1 data,2) Calculation of NDWI using Sentinel-2 data and,3) Final delineation of the flooded areas by SAR &amp; Optical Data Fusion&nbsp;Product 2: Change detection of reservoirs and damsDelineation of the observed changes in surface extents of the reservoirs and dams within the flooded areas. The changes were mapped using the post-event Sentinel-1 &amp; Sentinel-2 images through semi-automatic procedures and manual photo- interpretation refinements.Product 3: Flood damage assessmentMapping of the damaged assets, population and Land Cover Land Use (LCLU) using semi-automatic procedures on the post-event Sentinel-2 Imagery. Affected areas are graded in three classes of damage from No Visible Damage / Possibly damaged / Damaged / Destroyed. <br/> <br/>
Build on reliable and scalable technology
Revolgy LogoAmazon Web Services LogoGoogle Cloud Logo
FAQ

Frequently Asked Questions

Some basic informations about API Store ®.

Operation and development of APIs are currently fully funded by company Apitalks and its usage is for free.
Yes, you can.
All important information such as time of last update, license and other information are in response of each API call.
In case of major update that would not be compatible with previous version of API, we keep for 30 days both versions so you will have enough time to transfer to new version. We will inform you about the changes in advance by e-mail.

Didn't find the API you need?

Let us know and we will figure it out for you.

API Store provides access to European Open Data via scalable and reliable REST API interface.
Copyright © 2024. Made with ♥ by Apitalks