Abstract

Abstract. Climate change and increase of extreme weather events, besides the numerous consequences, affect significantly and put in risk the agriculture sectors. Natural disasters, such as floods and wildfires, are responsible for a great loss in agriculture production. National governments together with international bodies make an important effort to cooperate towards the response and resilience when a disaster occurs. In this frame the European Earth Observation Programme - Copernicus provides a series of observation data, in-situ measurements and services related, amongst others, to different types of disasters. Concerning the availability of this big volume of observation data, the aim of DiAS (Disaster and Agriculture Sentinel Applications) project is to revise the existing knowledge on remote sensing methods for mapping the extent of natural and/or man-made disaster over agricultural areas and propose improvements. The developed methodology will be implemented in a Decision Support System (DSS), which will be freely available and easy-to-use by non-experts. In this paper, the developed methodology focuses on mapping floods over agricultural areas. Sentinel-1 and Sentinel-2 imagery are used as input information for the comparison analysis before and after the event. The reference for results’ evaluation is the corresponding information delivered by Copernicus Emergency Management Service (EMS). Although, the evaluation results are in good agreement when they could be used, a reference of higher accuracy is needed in order to estimate accurately the quality of the output products.

Highlights

  • Considering the high importance of the agricultural sector, the European Union (EU) implements a set of regulations under the Common Agricultural Policy (CAP), aiming at the sustainable development and management of natural resources

  • The following cases of Copernicus Emergency Management Service (EMS)- Mapping were considered in this study: 1

  • The flood extent information was derived based on a Sentinel-2 image acquired on 25/06/2018 and a Sentinel-1B acquired on 29/06/2018, both provided under Copernicus by the European Union and ESA (Figure 2)

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Summary

Introduction

Considering the high importance of the agricultural sector, the European Union (EU) implements a set of regulations under the Common Agricultural Policy (CAP), aiming at the sustainable development and management of natural resources. The principles of CAP and the implementation of compensation measures require precise detecting and monitoring of natural disasters’ effects by carrying out timely and accurate controls. In Greece for instance, these controls are mainly performed by in-situ visits resulting in very high administrative costs. This procedure is time-consuming itself, but certain difficulties, i.e. adverse weather conditions, inaccessible areas, etc., can further delay the compensations. The service is activated under certain circumstances, i.e. extent, damages, duration, etc. and does not cover all the disaster events

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