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  • 1
    Publication Date: 2023-06-08
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-06-08
    Keywords: DATE/TIME; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 848 data points
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Artés Vivancos, Tomàs; Oom, Duarte; de Rigo, Daniele; Houston Durrant, Tracy; Maianti, Pieralberto; San-Miguel-Ayanz, Jesús (2019): A global wildfire dataset for the analysis of fire regimes and fire behaviour. Scientific Data, 6(1), 296, https://doi.org/10.1038/s41597-019-0312-2
    Publication Date: 2024-04-20
    Description: Global Wildfire Database for GWIS. An individual fire event focused database. Post processing of MCD64A1 providing geometries of final fire perimeters including initial and final date and the corresponding daily active areas for each fire. The data has been produced from MCD64A1 (global burnt areas MODIS). 1) Two dumps of PostgreSQL tables. The first dump contains the final fire events (fire id, initial date, final date and a multipolygon geometry). The second one has the daily active areas of each fire (fire id, burnt date, multipolygon geometry). Requires to create a user "User1" and the schema "nasa_modis_ba". 2) ESRI Shapefiles with the same information (splitted by months and year): There is an additional field, called FireType which makes reference to the final perimeter of the fire. This field could be: FinalArea: Makes reference to the final perimeter of the fire event. ActiveArea: Daily active areas for a given fire.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-07-10
    Description: Purpose As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Programme and the Committee on Earth Observation Satellites (CEOS) Work Plan, to support risk-informed decision-making, based on documented national and subnational needs and requirements. Design/methodology/approach Promotion of open data sharing and geospatial technology solutions at national and subnational scales encourages the accelerated implementation of successful EO applications. These solutions may also be linked to specific Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030 Global Targets that provide trusted answers to risk-oriented decision frameworks, as well as critical synergies between the Sendai Framework and the 2030 Agenda for Sustainable Development. This paper provides examples of these efforts in the form of platforms and knowledge hubs that leverage latest developments in analysis ready data and support evidence-based DRR measures. Findings The climate crisis is forcing countries to face unprecedented frequency and severity of disasters. At the same time, there are growing demands to respond to policy at the national and international level. EOs offer insights and intelligence for evidence-based policy development and decision-making to support key aspects of the Sendai Framework. The GEO DRR Working Group and CEOS Working Group Disasters are ideally placed to help national government agencies, particularly national Sendai focal points to learn more about EOs and understand their role in supporting DRR. Originality/value The unique perspective of EOs provide unrealized value to decision-makers addressing DRR. This paper highlights tangible methods and practices that leverage free and open source EO insights that can benefit all DRR practitioners.
    Description: Published
    Description: 163-185
    Description: 5IT. Osservazioni satellitari
    Description: JCR Journal
    Keywords: Earth observations ; Geospatial ; Open science ; Disaster risk reduction, ; Sendai framework
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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