Internet of Things (IoT) appliances, especially those realized through wireless sensor networks (WSNs), have been a dominant subject for heavy research in the environmental and agricultural sectors. To address the ever-increasing demands for real-time monitoring and sufficiently handle the growing volumes of raw data, the cloud/fog computing paradigm is deemed a highly promising solution. This paper presents a WSN-based IoT system that seamlessly integrates all aforementioned technologies, having at its core the cloud/fog hybrid network architecture. The system was intensively validated using a demo prototype in the Ionian University facilities, focusing on response time, an important metric of future smart applications. Further, the developed prototype is able to autonomously adjust its sensing behavior based on the criticality of the prevailing environmental conditions, regarding one of the most notable climate hazards, wildfires. Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island’s 2019 fire risk severity. In all presented cases, it is shown that through fog leveraging it is feasible to contrive significant delay reduction, with high precision and throughput, whilst controlling the energy consumption levels. Finally, a user-driven web interface is highlighted to accompany the system; it is capable of augmenting the data curation and visualization, and offering real-time wildfire risk forecasting based on Chandler’s burning index scoring.

The scope of this work is to present a Web-GIS that will monitor the broader area of Arachthos River in order to serve as an online mechanism for early warning and mapping of flood events. It describes briefly the main technologies for developing a web-based GIS system i.e. mapping technologies, developing databases and web applications. The advent of client-side web mapping has provided all the necessary tools to develop platforms for creating Web based Geographical Information Systems (Web-GIS). The information system combines data deriving from different sources such meteorological, geographical and water level data that are visualizing within the Web-GIS platform. The design and operation of the system aims to enhance the local government and relative stakeholders’ knowledge in order to improve decision making processes and efficient crisis management, in case of a flood event; while, another scope is also to keep the general public informed for the case of emergency situation.