DOCSLIB.ORG

The Risk Data Hub Loss Datasets

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
The Risk Data Hub Loss Datasets The Risk Data Hub loss datasets The Risk Data Hub Historical Event Catalogue Faiella, A., Antofie, T., Luoni, S., Ríos Díaz, F., Marin Ferrer, M. 2020 EUR 30036 EN This publication is a Technical report by the Joint Research Centre (JRC), the European Commission’s science and knowledge service. It aims to provide evidence-based scientific support to the European policymaking process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. For information on the methodology and quality underlying the data used in this publication for which the source is neither Eurostat nor other Commission services, users should contact the referenced source. The designations employed and the presentation of material on the maps do not imply the expression of any opinion whatsoever on the part of the European Union concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Contact information Name Antofie Tiberiu-Eugen Address: Via E. Fermi, 2749, TP 267, I – 21027, Ispra (VA), Italy Email: [email protected] Tel.: +39 0332 78 9363 EU Science Hub https://ec.europa.eu/jrc JRC116366 EUR 30036 EN PDF ISBN 978-92-76-14656-8 ISSN 1831-9424 doi:10.2760/488300 Luxembourg: Publications Office of the European Union, 2020 © European Union, 2020 The reuse policy of the European Commission is implemented by the Commission Decision 2011/833/EU of 12 December 2011 on the reuse of Commission documents (OJ L 330, 14.12.2011, p. 39). Except otherwise noted, the reuse of this document is authorised under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of photos or other material that is not owned by the EU, permission must be sought directly from the copyright holders. All content © European Union, 2020 How to cite this report: Faella, A., Antofie, T., Luoni, S., Rios Diaz, F., Marin Ferrer, M., The Risk Data Hub loss datasets - The Risk Data Hub Historical Event Catalogue, EUR 30036 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-14656-8, doi:10.2760/488300, PUBSY JRC116366. Contents Abstract .................................................................................................................................................................. 4 1 Introduction ...................................................................................................................................................... 5 2 Discussion on post-disaster loss data and current datasets .......................................................................... 7 2.1 Global datasets ........................................................................................................................................ 7 2.2 Regional and National Dataset ................................................................................................................ 9 3 The RDH Historical event collection methodology ......................................................................................... 11 4 The RDH Historical Event Catalogue Characteristics ..................................................................................... 12 4.1 Hazard consideration ............................................................................................................................. 12 4.2 Spatial coverage .................................................................................................................................... 12 4.3 Temporal coverage ................................................................................................................................ 12 4.4 Source of information ............................................................................................................................ 12 HAZARD CATALOGUES .................................................................................................................................... 13 DAMAGE AND LOSS SOURCES OF INFORMATION .......................................................................................... 13 4.5 Criteria of selection for inclusion in the database ................................................................................ 14 4.6 Challenges .............................................................................................................................................. 14 Differences in the time of occurrence ........................................................................................................... 14 Differences in classifying the type of disaster .............................................................................................. 14 Differences due to multiple entry of a single disaster event ........................................................................ 15 Differences in classifying the spatial extent and the exact location of an event......................................... 15 Differences in the definitions of the indicators ............................................................................................. 15 Differences in currencies and prices of economic losses .............................................................................. 15 4.7 Conversion of economic damage values ............................................................................................... 15 5 The RDH Historical Event Catalogue .............................................................................................................. 17 5.1 Content overview ................................................................................................................................... 17 5.2 Comprehensiveness, completeness and origin of the data .................................................................. 18 6 Analysis of the collected data ........................................................................................................................ 20 6.1 Most destructive events ......................................................................................................................... 21 6.2 Most affected countries ......................................................................................................................... 22 6.2.1 Completeness and its influence on the analysis........................................................................ 27 6.3 Impact data processing for the past 18-years ..................................................................................... 28 6.3.1 Fatalities and economic losses .................................................................................................. 28 6.3.2 Affected and injured people ....................................................................................................... 29 6.3.3 Affected area .............................................................................................................................. 29 6.3.4 Limitations of the approach ....................................................................................................... 30 i 6.4 Discussion of trends .............................................................................................................................. 30 7 Discussion of results ...................................................................................................................................... 32 EARTHQUAKES ................................................................................................................................................ 32 FLOODS .......................................................................................................................................................... 32 7.1 Floods cause most fatalities ................................................................................................................. 32 7.2 Signs of increased resilience and lower vulnerability ........................................................................... 32 8 Conclusions and recommendations ............................................................................................................... 34 References ............................................................................................................................................................. 1 List of abbreviations and definitions ..................................................................................................................... 5 List of figures ......................................................................................................................................................... 6 List of tables .......................................................................................................................................................... 7 Annexes .................................................................................................................................................................. 8 Annex 1. Recorded information contained in the Historical Event Catalogue - Flood module ....................... 8 Annex 2. Recorded information contained in the Historical
Load more

Recommended publications
  • Water and Nutrition Harmonizing Actions for the United Nations Decade of Action on Nutrition and the United Nations Water Action Decade
    EN Discussion Paper Water and Nutrition Harmonizing Actions for the United Nations Decade of Action on Nutrition and the United Nations Water Action Decade UNSCN February 2020 United Nations System Standing Committee on Nutrition All rights reserved. UNSCN encourages the use and dissemination of content in this product. Reproduction and dissemination thereof for educational or other non-commercial uses are authorized provided that appropriate acknowledgement of UNSCN as the source is given and that UNSCN’s endorsement of users’ views, products or services is not implied in any way. All requests for translation and adaptation rights, and for resale and other commercial use rights should be addressed to the UNSCN secretariat at [email protected]. EN Discussion Paper Water and Nutrition Harmonizing Actions for the United Nations Decade of Action on Nutrition and the United Nations Water Action Decade UNSCN February 2020 United Nations System Standing Committee on Nutrition Acknowledgements This report was written by Claudia Ringler (IFPRI) and Paulo Dias (FAO), with substantive inputs from Claire Chase (World Bank), Jowel Choufani (George Washington University), Jan Lundqvist (SIWI), Jennie Barron (SLU), Chris Dickens, Javier Mateo-Sagasta and Matthew McCartney (all IWMI), Sera Young (Northwestern University) and Marlos de Souza (FAO). The following individuals and organizations are gratefully acknowledged for providing comments and support during the review process: Marzella Wustefeld (WHO), Trudy Wijnhoven, Giulia Palma, Serena Pepino (all FAO), Danka Pantchova, Stefano Fedele, Franck Bouvet, Dominique Porteaud and Anna Ziolkovska (all UNICEF) and Denise Coitinho (UNSCN). The report was prepared under the overall management of Stineke Oenema (UNSCN). Janice Meerman (UNSCN) served as technical editor, Faustina Masini is credited with design.
    [Show full text]
  • Implementation of a Random Forest Classifier to Examine Wildfire Predictive Modeling in Greece Using Diachronically Collected Fire Occurrence and Fire Mapping Data
    Implementation of a Random Forest classifier to examine wildfire predictive modeling in Greece using diachronically collected fire occurrence and fire mapping data Authors: Alex Apostolakis, Stella Girtsou, Charalampos Kontoes, Ioannis Papoutsis, Michalis Tsoutsos e-mails: {alex.apostolakis, sgirtsou, kontoes, ipapoutsis, mtsoutsos}@noa.gr Beyond center of excelence, IAASARS, National Observatory of Athens, Greece Presenter: Alex Apostolakis Recent Forest fire disasters 2019 Bush fires in New South Wales of Australia burned about 1.65 million hectares 2019 Brazilian Space Agency has reported an 83% increase in fire occurrences compared to the same period of the previous year. 2018 Attica wildfires spread up to a speed of 124 km/h resulting to more than a hundred casualties. Climate change impact The problem of the wildfires becomes considerably important if we account for the climate change scenarios which suggest substantial warming and increase of heat waves, drought and dry spell events across the entire Mediterranean in the future years. Model categories for fire risk prediction Theoretical (or physics-based) : Theoretical models are entirely based on equations that describe the physics of the related to the fire ignition physical phenomena like fluid mechanics, combustion and heat transfer Data-driven models : Data-driven models (also known as empirical models before the data science developments) are purely based on the correlations between data extracted from historical fire records and their related parameters. Machine learning models belong to this category. Why Machine Learning models Machine Learning algorithms are designed to automatically formulate the complex mathematical relations between the input parameters. In Physical-based models the mathematics of those relations should be known in advance.
    [Show full text]
  • Disaster Preparedness, Resilience, and Response Forum Report
    Columbia World Projects: Disaster Preparedness, Resilience, and Response Forum Report August 15, 2019 Foreword Dear Reader, On behalf of Columbia World Projects (CWP), we are pleased to present the following report on our Forum on Disaster Preparedness, Resilience, and Response, one of an ongoing series of meetings dedicated to bringing together academia with partners from government, non- governmental and intergovernmental organizations, the media, and the private sector to identify projects designed to tackle fundamental challenges facing humanity. Natural disasters and public health emergencies impact tens of millions of people each year. At the individual level, the impact is often felt physically, mentally, and emotionally, and can destroy homes and businesses, wipe out financial resources, uproot families, and cause lasting injuries and even deaths. At the community and regional level, the impact can be equally devastating, inflicting enormous environmental and structural damage; stalling or even reversing a society’s economic growth and development; and producing and exacerbating poverty and instability. While natural disasters and public health emergencies have been a consistent feature of human existence, the frequency and intensity of such incidents have increased over the last few decades, in significant part as a result of climate change and growing mobility. All of this has made managing disasters more urgent, more expensive, and more complex. On June 10, 2019, CWP invited approximately 35 experts from a range of fields and disciplines to take part in a Forum with the aim not only of deepening our understanding of natural disasters and public health emergencies, but also of proposing concrete ways to improve the lives of people affected by these events.
    [Show full text]
  • Global Climate Risk Index 2018
    THINK TANK & RESEARCH BRIEFING PAPER GLOBAL CLIMATE RISK INDEX 2018 Who Suffers Most From Extreme Weather Events? Weather-related Loss Events in 2016 and 1997 to 2016 David Eckstein, Vera Künzel and Laura Schäfer Global Climate Risk Index 2018 GERMANWATCH Brief Summary The Global Climate Risk Index 2018 analyses to what extent countries have been affected by the impacts of weather-related loss events (storms, floods, heat waves etc.). The most recent data available – for 2016 and from 1997 to 2016 – were taken into account. The countries affected most in 2016 were Haiti, Zimbabwe as well as Fiji. For the period from 1997 to 2016 Honduras, Haiti and Myanmar rank highest. This year’s 13th edition of the analysis reconfirms earlier results of the Climate Risk Index: less developed countries are generally more affected than industrialised countries. Regarding future climate change, the Climate Risk Index may serve as a red flag for already existing vulnerability that may further increase in regions where extreme events will become more frequent or more severe due to climate change. While some vulnerable developing countries are frequently hit by extreme events, for others such disasters are a rare occurrence. It remains to be seen how much progress the Fijian climate summit in Bonn will make to address these challenges: The COP23 aims to continue the development of the ‘rule-book’ needed for implementing the Paris Agreement, including the global adaptation goal and adaptation communication guidelines. A new 5-year-work plan of the Warsaw International Mechanism on Loss and Damage is to be adopted by the COP.
    [Show full text]
  • Wildfire Management in Europe Final Report and Recommendation Paper Cmine Task Group Wildfire
    WILDFIRE MANAGEMENT IN EUROPE FINAL REPORT AND RECOMMENDATION PAPER CMINE TASK GROUP WILDFIRE The final output of the one-year mandate of the CMINE Wildfire Task Group work is a recommendation to align EU legislation and national, regional and local levels of governance regarding land management to facilitate the mitigation of the risks of wildfires.. Nina Dobrinkova, Bulgarian Academy of Sciences (IICT-BAS) February 2020 TABLE OF CONTENTS EXECUTIVE SUMMARY ................................................................................................................................. 3 ACKNOWLEDGEMENTS .............................................................................................................................. 4 INTRODUCTION ........................................................................................................................................... 7 CONTEXT OF THE TASK GROUP ........................................................................................................................... 7 GOAL OF THE TASK GROUP .................................................................................................................................. 7 EUROPEAN FIRES 'STATE OF THE ART' .............................................................................................................. 8 GENERAL INFORMATION ON WILDFIRES ........................................................................................................ 9 WILDFIRE CHARACTERISATION ........................................................................................................................
    [Show full text]
  • Evolution of the 2018 European Heat Wave
    Evolution of the 2018 European heat wave Stine Sagen Thesis submitted for the degree of Master of science in Meteorology and Oceanography 60 Credits Department of Geosciences Faculty of mathematics and natural sciences UNIVERSITY OF OSLO June 15, 2020 c 2020 Stine Sagen Evolution of the 2018 European heat wave This work is published digitally through DUO âĂŞ Digitale Utgivelser ved UiO http://www.duo.uio.no/ Printed: Reprosentralen, University of Oslo All rights reserved. No part of this publication may be reproduced or transmitted, in any form or by any means, without permission. Abstract This master study addresses the monthly evolution from April to September of the extreme heat wave that occurred in Europe in 2018. Heat waves cause serious hazards related to regional economics, ecosystems, human health and deaths. According to the large number of studies existing on heat waves, most climate models predict that in the future, heat waves will appear more often, last longer and increase in magnitude. Heat waves therefore require urgent attention and enhanced understanding of the processes behind this phenomenon is thus the motivation behind this thesis. The thesis will investigate how 1) atmospheric blocking was associated with a large-scale quasi-stationary mid-latitude flow regime and 2) soil moisture-temperature feedback could explain the anomalously high temperatures. To analyze these mechanisms and to see how they co-interact, a high resolution reanalysis dataset has been applied in order to provide a complete and consistent dataset. The main finding is that the strongest and most prolonged heat waves could mainly be identified in Northern Europe.
    [Show full text]
  • Sorli Fil1l1ivffisfifiy ...I
    \;11 ttl I / ~ sorlI fil1l1IVffiSfifiY ...i ......._---------------- -- - United States Department of Fire Agriculture Forest Service Management S An international quarterly periodical Volume 50, NO.1 Notes devoted to forest fire management 1989 Contents 2 Fire Management: Strength Through Diversity 53 Forest Fire Simulation Video and Graphic System Harry Croft L.F. Southard 6 Major Transitions in Firefighting: 1950 to 1990 56 Smoke Management Modeling in the Bureau of Jack F. Wilson Land Management Allen R. Riebau and Michael L. Sestak 9 A Look at the Next 50 Years John R. Warren 59 Smoke From Smoldering Fires-a Road Hazard Leonidas G. Lavdas 13 Warm Springs Hotshots Holly M. Gill 63 Author Index-Volume 49 16 Wildfire Law Enforcement-Virginia Style 65 Subject Index-Volume 49 John N. Graff 19 Fire Management in the Berkeley Hills Short Features Carol L. Rice, 1 Thank you, Fire Management Notes 21 Light-Hand Suppression Tactics-a Fire Allan J West Management Challenge Francis Mohr 5 Workforce Diversity-What We Can Do! L.A. Amicare//a 31 Lightning Fires in Saskatchewan Forests c.i Oglivie 8 The Fire Equipment Working Team William Shenk 37 GSA-a Partner in Wildfire Protection 11 Smokejumper Reunion-June 1989 Larry Camp Janice Eberhardt 38 Predicting Fire Potential 15 NWCG's Publication Management System: Thomas J. Rios A Progress Report Mike Munkres 42 Wildfire 1988-a Year To Remember Arnold F. Hartigan 55 Identifying Federal Excess Personal Property Francis R. Russ 45 Documenting Wildfire Behavior: The 1988 Brereton Lake Fire, Manitoba Kelvin G. Hirsch Special Features 49 Fire Observation Exercises-a Valuable Part of 24 The Way Wc Were Fire Behavior Training Patricia L.
    [Show full text]
  • First Main Title Line First Line Forest Fires in Europe, Middle East and North Africa 2014
    First Main Title Line First Line Forest Fires in Europe, Middle East and North Africa 2014 Joint report of JRC and Directorate-General Environment 2015 Report EUR 27400 EN European Commission Joint Research Centre Institute for Environment and Sustainability Contact information San-Miguel- Ayanz Jesús Address: Joint Research Centre, Via Enrico Fermi 2749, TP 261, 21027 Ispra (VA), Italy E-mail: [email protected] Tel.: +39 0332 78 6138 JRC Science Hub https://ec.europa.eu/jrc Legal Notice This publication is a Technical Report by the Joint Research Centre, the European Commission’s in-house science service. It aims to provide evidence-based scientific support to the European policy-making process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. All images © European Union 2015 JRC97214 EUR 27400 EN ISBN 978-92-79-50447-1 (PDF) ISBN 978-92-79-50446-4 (print) ISSN 1831-9424 (online) ISSN 1018-5593 (print) doi:10.2788/224527 Luxembourg: Publications Office of the European Union, 2015 © European Union, 2015 Reproduction is authorised provided the source is acknowledged. Abstract This is the 15th issue of the EFFIS annual report on forest fires for the year 2014. This report is consolidated as highly appreciated documentation of the previous year's forest fires in Europe, Middle East and North Africa. In its different sections, the report includes information on the evolution of fire danger in the European and Mediterranean regions, the damage caused by fires and detailed description of the fire conditions during the 2014 fire campaign in the majority of countries in the EFFIS network The chapter on national reporting gives an overview of the efforts undertaken at national and regional levels, and provides inspiration for countries exposed to forest fire risk.
    [Show full text]
  • Philippe Rahm
    Richardson Forecast Factory, 1922 Factory, Forecast Richardson réservés - droits © Alf Lannerbäck LLee parlementparlement climatique climatique Pavillon de l’Arsenal 24-25.01.20 | Pavillon de l’Arsenal 24-25.01.20De quoi le consensus écologique est-il le nom ? De quoi le consensus écologique est-il est-il le le nom nom? ? VendrediVendredi 24.01 24.01 Samedi 25.01Samedi 25.01 Avec les conférences de du 27.01 au 31.01 -— au au Pavillon Pavillon de del’Arsenal l’Arsenal — au Pavillon- deau Pavillonl’Arsenal de l’Arsenal Alessandro Bava et Rebecca- à l’ENSA-V 13:3013:30 - - Accueil Accueil 14:30 - Accueil14:30 - Accueil Sharp, Holly Jean Buck, NathalieWorkshop Master 1 14:0014:00 - - Introduction Introduction par les organisateurs15:00 - Introduction15:00 - Introduction par lesDe organisateurs Noblet-Ducoudré, Platon 14:1514:15 - - Ouverture Ouverture : Nathaliepar Nathalie de Noblet-Ducoudré de 15:00 - Troisième 15:20 table- Léa rondeMosconi Issaias, Samaneh Moafi, JasonSamedi 01.02 15:30Noblet-Ducoudré - Table ronde 1: Grégory Quenet, 17:00 - Film15:50 «Human - Samaneh mask» Moafide W. Moore, Léa Mosconi, Grégory- à l’ENSA-V Philippe15:30 - Rahm,Première Roger table Tudo ronde Pierre Huyghe16:20 - Alessandro Bava &Quenet, Rebecca Philippe Sharp Rahm, IvonneExposition dans le cadre de la journée 17h3018:30 -- TableSeconde ronde table 2: Ivonne ronde Santoyo-Orozco,19:00 - Cocktail16:50 - Discussion de clôtureSantoyo-Orozco, avec l’ensemble Roger Tudó...des Portes Un Ouvertes Holly Jean Buck (online), Jason Moore (online), des intervenants événement organisé par Nicolas Platondu 27.01 Issaias au 31.01 Samedi 01.0218:00 - Cocktail Dorval-Bory, Emeric Lambert et — à l’ENSA-V — à l’ENSA-V Jeremy Lecomte dans le cadre ConversationsWorkshop Master modérées 1 par Jeremy LecomteExposition dans le cadre de de la semaine blanche 2020 de la journée portes ouvertes l’ENSA-V.
    [Show full text]
  • Snet 170 Heat Wave
    ABOUT THIS ISSUE n the past decade, many I countries of Asia have been repeatedly struck by extreme heat and heat waves. Many scientists have attributed this trend of rising heat wave incidents to climate change. HEAT WAVE IMPACT Extreme heat events are becoming more frequent and severe because as the world Heat Waves and Street continues to warm due to human emissions of Vendors: What Cities Can Do greenhouse gases from the Vendors: What Cities Can Do burning of fossil fuels. hen a heat wave hits, our and cooling the surrounding air. In This issue of Winstinct is to stay indoors, under addition to regulating temperatures, Southasiadisasters.net is titled the fan or in the air-conditioning. trees also filter air pollution and absorb "Rising Risk of Heat Waves in However, millions of India's working atmospheric carbon dioxide. Asia". It highlights not only poor do not have that choice. Street the incidences and impacts of vendors, waste pickers, cart-pullers, 2. Protecting Open Spaces heat waves in Asia but also and rickshaw drivers are among the Temperatures are higher in urban all the scientific and many kinds of self-employed workers areas, as compared to rural areas, governance innovations that earn their living on the street. For because of what is known as the heat designed to mitigate their many, the day they do not work is the island effect. As buildings and roads damage. While instances of day they do not eat. Their work replace vegetation and open land, the heat waves are on the rise continues in blistering heat, under the sun beats down on rooftops, roads and scorching summer sun.
    [Show full text]
  • Environment International Mapping Combined Wildfire and Heat Stress
    Environment International 127 (2019) 21–34 Contents lists available at ScienceDirect Environment International journal homepage: www.elsevier.com/locate/envint Mapping combined wildfire and heat stress hazards to improve evidence- based decision making T ⁎ Claudia Vitoloa, , Claudia Di Napolia,b, Francesca Di Giuseppea, Hannah L. Clokeb,c,d,e, Florian Pappenbergera a European Centre for Medium-range Weather Forecasts, Reading RG2 9AX, UK b Department of Geography and Environmental Science, University of Reading, Reading, UK c Department of Meteorology, University of Reading, Reading, UK d Department of Earth Sciences, Uppsala University, Uppsala, Sweden e Centre of Natural Hazards and Disaster Science, CNDS, Uppsala, Sweden ARTICLE INFO ABSTRACT Keywords: Heat stress and forest fires are often considered highly correlated hazards as extreme temperatures play a key Wildfire role in both occurrences. This commonality can influence how civil protection and local responders deploy Multi hazard resources on the ground and could lead to an underestimation of potential impacts, as people could be less Geospatial analysis resilient when exposed to multiple hazards. In this work, we provide a simple methodology to identify areas Decision making prone to concurrent hazards, exemplified with, but not limited to, heat stress and fire danger. We use the Fire weather index (FWI) combined heat and forest fire event that affected Europe in June 2017 to demonstrate that the methodology can Universal thermal climate index (UTCI) be used for analysing past events as well as making predictions, by using reanalysis and medium-range weather forecasts, respectively. We present new spatial layers that map the combined danger and make suggestions on how these could be used in the context of a Multi-Hazard Early Warning System.
    [Show full text]
  • Master Thesis „Automated Burned Area Monitoring Using Sentinel-2
    Master Thesis im Rahmen des Universitätslehrganges „Geographical Information Science & Systems“ (UNIGIS MSc) am Interfakultären Fachbereich für GeoInformatik (Z_GIS) der Paris Lodron-Universität Salzburg zum Thema „Automated Burned Area Monitoring Using Sentinel-2 MSI“ Based on FIRMS alarms, burned area monitoring using Copernicus Sentinel-2 MSI data and comparison to affected Human Settlement Structures vorgelegt von Dipl. Geographin Alexandra Hander 104842, UNIGIS MSc Jahrgang 2017 Betreuer: Prof. Dr. Stefan Lang Dr. Lorenz Wendt Zur Erlangung des Grades „Master of Science (Geographical Information Science & Systems) – MSc(GIS)” Reutern, 31. Januar 2020 BURNED AREA MONITORING USING COPERNICUS SENTINEL-2 Affidavit I hereby assure that the present Master Thesis will be completed without external help and without other than the sources cited, and that the work has not yet been submitted to any other examination office in the same or similar form. All statements of the Work that has been taken over literally or analogously is marked accordingly with the authorship. Alexandra Hander ALEXANDRA HANDER 104842 1 BURNED AREA MONITORING USING COPERNICUS SENTINEL-2 Acknowledgment I would like to take this opportunity to thank everyone who helped me during my studies and this master thesis. Above all, I would like to thank my two supervisors Prof. Dr. Stefan Lang and Dr. Lorenz Wendt. You have given me the opportunity to write my master's thesis on such an exciting and certainly future-oriented topic. Especially Dr. Lorenz Wendt supported and motivated me with a lot of patience and always with helpful feedback and suggestions. Many thanks also to the whole UNIGIS team for the competent support of my part-time studies.
    [Show full text]