scholarly journals Internet of Trees

2021 ◽  
Vol 10 (2) ◽  
pp. 750-753
Keyword(s):  
Forest Fires ◽  
Low Cost ◽  
Web Server ◽  
Fire Risk ◽  
Fire Detection ◽  
Natural Habitats ◽  
The Public ◽  
Recorded Data ◽  
The Impact ◽  
The Internet Of Things

The frequency of the forest fires that have occurred in the different parts of the world, In recent decades significant population problems and causing the death if the wild animals as the impact of these fires extend beyond the destruction of the natural habitats. The proliferation of the Internet of Things industry, resolutions for initial fire detection should be developed. The valuation of the fire risk of an area and communication of this realities to the population could reduce the amount of fires originated by accident or due to carelessness of the public user. This paper proposes a low-cost network based on NXP Rapid IOT kit and Long Range (Lora) technology to autonomously estimate the level of fire risk in the forest. The system comprises of NXP Rapid IOT kit which humidity, air quality and detection of the tree fall. The data from each node stored and processed in a in a web server or the mobile application that sendsthe recorded data to a web server for graphical conception of collected data.

scholarly journals LoRaWAN Network for Fire Monitoring in Rural Environments

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 531 ◽  
Author(s):  
Sandra Sendra ◽  
Laura García ◽  
Jaime Lloret ◽  
Ignacio Bosch ◽  
Roberto Vega-Rodríguez
Keyword(s):  
Forest Fires ◽  
Rural Areas ◽  
Low Cost ◽  
Fire Risk ◽  
Fire Detection ◽  
Circular Area ◽  
Fire Monitoring ◽  
Rural Environments ◽  
The Internet Of Things ◽  
Different Parts

The number of forest fires that occurred in recent years in different parts of the world is causing increased concern in the population, as the consequences of these fires expand beyond the destruction of the ecosystem. However, with the proliferation of the Internet of Things (IoT) industry, solutions for early fire detection should be developed. The assessment of the fire risk of an area and the communication of this fact to the population could reduce the number of fires originated by accident or due to the carelessness of the users. This paper presents a low-cost network based on Long Range (LoRa) technology to autonomously evaluate the level of fire risk and the presence of a forest fire in rural areas. The system is comprised of several LoRa nodes with sensors to measure the temperature, relative humidity, wind speed and CO2 of the environment. The data from the nodes is stored and processed in a The Things Network (TTN) server that sends the data to a website for the graphic visualization of the collected data. The system is tested in a real environment and, the results show that it is possible to cover a circular area of a radius of 4 km with a single gateway.

scholarly journals Fires Monitoring by Means of Spectral Indices from Sentinel-2 Data: the Case Study of the Vesuvius and Lattari Mountains, Campania (Italy)

2020 ◽  
Author(s):  
Domenico Antonio Giuseppe Dell'Aglio ◽  
Carmine Gambardella ◽  
Massimiliano Gargiulo ◽  
Antonio Iodice ◽  
Rosaria Parente ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Forest Fires ◽  
European Space Agency ◽  
Fire Risk ◽  
Fire Detection ◽  
Spectral Indices ◽  
Active Fire ◽  
Space Agency ◽  
Repeat Time ◽  
Sentinel 2

Forest fires are part of a set of natural disasters that have always affected regions of the world typically characterized by a tropical climate with long periods of drought. However, due to climate change in recent years, other regions of our planet have also been affected by this phenomenon, never seen before. One of them is certainly the Italian peninsula, and especially the regions of southern Italy. For this reason, the scientific community, as well as remote sensing one, is highly concerned in developing reliable techniques to provide useful support to the competent authorities. In particular, three specific tasks have been carried out in this work: (i) fire risk prevention, (ii) active fire detection, and (iii) post-fire area assessment. To accomplish these analyses, the capability of a set of spectral indices, derived from spaceborne remote sensing (RS) data, is assessed to monitor the forest fires. The spectral indices are obtained from Sentinel-2 multispectral images of the European Space Agency (ESA), which are free of charge and openly accessible. Moreover, the twin Sentinel-2 sensors allow to overcome some restrictions on time delivery and observation repeat time. The performance of the proposed analyses were assessed experimentally to monitor the forest fires occurred in two specific study areas during the summer of 2017: the volcano Vesuvius, near Naples, and the Lattari mountains, near Sorrento (both in Campania, Italy).

scholarly journals Modelling in the Context of an Environmental Mobilisation: A Graph-Based Approach for Assessing the Landscape Ecological Impacts of a Highway Project

2020 ◽  
Vol 39 (1) ◽  
pp. 88-100
Author(s):  
Marc Bourgeois ◽  
Yohan Sahraoui
Keyword(s):  
Ecological Impacts ◽  
Natural Habitats ◽  
Highway Projects ◽  
The Public ◽  
Land Cover Map ◽  
Species Groups ◽  
Landscape Graphs ◽  
Landscape Ecological ◽  
The Impact ◽  
Highway Project

AbstractThe construction of highways leads to several environmental and landscape impacts, including the fragmentation of natural habitats for many animal species. Highway projects are therefore generally accompanied by mobilisations from the inhabitants of the areas concerned and environmental associations. This work aims to model the potential impacts of a highway project in France on ecological networks and to study the reception of the results by the opponents of this project. We have adopted a three-step approach. First, a land-cover map of the study area was produced at a fine scale of 10 m resolution. Second, we developed a multi-species approach by defining fifteen species groups representative of different habitats of our study area. Third, the design of landscape graphs and the resulting calculation of connectivity metrics allowed mapping the impact of the highway on multi-species ecological connectivity. Reflexive feedback from comments on these results by the public during a mobilisation day against the highway project allows assessment of the relevance of such a modelling approach in this context.

scholarly journals The impact universe—a framework for prioritizing the public interest in the Internet of Things

Patterns ◽  
2022 ◽  
Vol 3 (1) ◽  
pp. 100398
Author(s):  
Francine Berman ◽  
Emilia Cabrera ◽  
Ali Jebari ◽  
Wassim Marrakchi
Keyword(s):  
Internet Of Things ◽  
Public Interest ◽  
The Internet ◽  
The Public ◽  
The Impact ◽  
The Internet Of Things

scholarly journals Early forest fire detection by vision-enabled wireless sensor networks

2012 ◽  
Vol 21 (8) ◽  
pp. 938 ◽  
Author(s):  
Jorge Fernández-Berni ◽  
Ricardo Carmona-Galán ◽  
Juan F. Martínez-Carmona ◽  
Ángel Rodríguez-Vázquez
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Forest Fires ◽  
Prescribed Burning ◽  
Low Cost ◽  
Fire Detection ◽  
Wireless Sensor ◽  
Radio Communication ◽  
Power Efficient ◽  
Autonomous Operation

Wireless sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard to wildfires, they enable low-cost fine-grained surveillance of hazardous locations like wildland–urban interfaces. This paper presents work developed during the last 4 years targeting a vision-enabled wireless sensor network node for the reliable, early on-site detection of forest fires. The tasks carried out ranged from devising a robust vision algorithm for smoke detection to the design and physical implementation of a power-efficient smart imager tailored to the characteristics of such an algorithm. By integrating this smart imager with a commercial wireless platform, we endowed the resulting system with vision capabilities and radio communication. Numerous tests were arranged in different natural scenarios in order to progressively tune all the parameters involved in the autonomous operation of this prototype node. The last test carried out, involving the prescribed burning of a 95 × 20-m shrub plot, confirmed the high degree of reliability of our approach in terms of both successful early detection and a very low false-alarm rate.

scholarly journals Influence of climatic conditions on fire risk in Djerdap National Park (Serbia): A case study of September 2011

2020 ◽  
Vol 24 (5 Part A) ◽  
pp. 2845-2855
Author(s):  
Stanimir Zivanovic ◽  
Ivana Tosic
Keyword(s):  
Forest Fires ◽  
National Park ◽  
Fire Risk ◽  
Daily Basis ◽  
Climatic Conditions ◽  
Average Value ◽  
Using Data ◽  
June July ◽  
The Impact

The Djerdap National Park in Serbia is vulnerable to fires. The variability of a fire in the Djerdap National Park is studied depending on the impact of climatic conditions. The influence was investigated on a yearly, monthly, and daily basis using data recorded at the meteorological station Veliko Gradiste. Data were analyzed for two periods: 1961-1990 and 1991-2017, and for the year of 2011. Special attention is devoted to the conditions for the emergence of the largest forest fire in the Djerdap National Park in September 2011. In this study, the Angstrom index, the Nesterov index, and method of deficit and surplus of precipitation are used to predict the risk of fire. There was an increased danger of fire in the forests in the period of 1991-2017 compared to the period of 1961-1990. Indices showing fire risk are increased for the months of June, July, and August. The September 2011 is characterized by an increase of average monthly air temperature by 3.7?C and a reduction of the total monthly rainfall of 32.3 mm compared to a long-term average value which favorable influenced to the occurrence of large forest fires.

Fire Detection Using Both Infrared and Visual Images With Application to Unmanned Aerial Vehicle Forest Fire Surveillance

2019 ◽  
Author(s):  
Chi Yuan ◽  
Zhixiang Liu ◽  
Anim Hossain ◽  
Youmin Zhang
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Forest Fire ◽  
Forest Fires ◽  
Low Cost ◽  
Fire Detection ◽  
Visual Images ◽  
Camera System ◽  
Real Time Processing ◽  
Computational Performance ◽  
Aerial Vehicle

Abstract Forest fires are a universal problem that destroy a large amount of natural resources and creates environmental pollution. Forest firefighting is one of today’s most important events for natural and environmental resources protection and conservation. Unmanned aerial vehicle (UAV) with remote sensing system can offer a rapid, safe and low-cost approach for effective forest fire detection which have attracted researchers attention worldwide. In this paper, automatic detection of fire regions using both visual and infrared images is investigated. In order to improve the computational performance to satisfy the requirement of real-time processing, a reduced complexity fusion method is adopted in this research. Through testing the proposed approach on real video sequences, good detection performance is achieved and it is indicated that using multi-modal camera system to detect forest fire with application to firefighting UAV is very promising.

scholarly journals A Deep Learning Based Object Identification System for Forest Fire Detection

Fire ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 75
Author(s):  
Federico Guede-Fernández ◽  
Leonardo Martins ◽  
Rui Valente de Almeida ◽  
Hugo Gamboa ◽  
Pedro Vieira
Keyword(s):  
Deep Learning ◽  
Forest Fires ◽  
Fire Detection ◽  
Object Identification ◽  
Identification System ◽  
The Public ◽  
The Social ◽  
Independent Test ◽  
Social Environmental

Forest fires are still a large concern in several countries due to the social, environmental and economic damages caused. This paper aims to show the design and validation of a proposed system for the classification of smoke columns with object detection and a deep learning-based approach. This approach is able to detect smoke columns visible below or above the horizon. During the dataset labelling, the smoke object was divided into three different classes, depending on its distance to the horizon, a cloud object was also added, along with images without annotations. A comparison between the use of RetinaNet and Faster R-CNN was also performed. Using an independent test set, an F1-score around 80%, a G-mean around 80% and a detection rate around 90% were achieved by the two best models: both were trained with the dataset labelled with three different smoke classes and with augmentation; Faster R-CNNN was the model architecture, re-trained during the same iterations but following different learning rate schedules. Finally, these models were tested in 24 smoke sequences of the public HPWREN dataset, with 6.3 min as the average time elapsed from the start of the fire compared to the first detection of a smoke column.

scholarly journals Mapping Forest Fire Risk in Mediterranean forests—A Case Study of SUD-Provence-Alpes-Côte d'Azur Region (SE, France)

2020 ◽  
Vol 3 (1) ◽  
pp. 69
Author(s):  
Abdesslam Chai-Allah ◽  
Eric Maillé
Keyword(s):  
Forest Fire ◽  
Forest Fires ◽  
Vegetation Type ◽  
Influence Factors ◽  
Fire Risk ◽  
Mediterranean Forests ◽  
Ignition Point ◽  
Rural Land Use ◽  
The Impact ◽  
Forest Fire Risk

Forests represent both valuable and vulnerable natural resources because of the various ecosystem services they provide and their sensitivity to climate change and fires. In the Mediterranean region, the depth of transformations in the rural land use, with mass abandonment of traditional activities (farming, livestock raising, and forest utilization) and an acceleration of urban sprawl, has affected the impact of fires on the territory and especially on the wildland–urban interface (WUI). The objective of the present study is to generate maps of forest fire risk in the region of SUD-Provence-Alpes-Côte d'Azur (France), integrating natural factors (vegetation type, topography and meteorology conditions, etc.) and human factors related to the closeness to causative elements that can potentially be the ignition point of fires (transport and power infrastructures, settlements and scattered buildings, etc.). GIS spatial analysis was used to combine single influence factors in risk maps to display the total fire risk map. These maps could be especially helpful in land management and emergency planning to minimize the effects of forest fires.

scholarly journals We motif of social violence in the space of cinematic communication

2021 ◽  
Vol 27 (3) ◽  
pp. 167-186
Author(s):  
К. A. Tarasov
Keyword(s):  
Negative Impact ◽  
Low Cost ◽  
Public Concern ◽  
Social Significance ◽  
Social Violence ◽  
The Public ◽  
The Status ◽  
Cultural Code ◽  
Russian Cinema ◽  
The Impact

Social violence traditionally has been a constituent in the information flow of artistic communication, of the cinematic one especially. With the language specific to cinema it is easier, than with the languages of other arts, to attract and command the attention of a broad public with the spectacle of violence. Also, as a rule, it is more economical because of the relatively low cost of embodying violence on the screen considering the overall expensiveness of film production. In the West, the filming of practices of violence aimed at entertaining the public, as well as the public concern at the possibility of their negative impact on the rising generation, has a long history. Within the concept of “the audience as the victim” there were thousands of studies conducted, especially in USA. In the USSR cinema of the entertainment orientation was under the ideological ban which put the representation of violence within certain boundaries. In the 1990s the situation of cinema changed drastically. Je escalation of entertainment violence on the screen caused a public concern. Sociologists began to study its perception by and impact on spectators. In this regard, the article considers the experience of conceptualizing the reformatting of its representation after, consequent upon the impact of the last century’s revolutionary violence, cinema had obtained the status of “the most important of all the arts” and “the social significance” of the violence became the cultural code of its representation. But with the transition of Russian cinema to the market, foreign entertainment movies were granted open access to the nation’s film screens. Entertainment violence reached the status of a commercially important communicative attraction. Its effectiveness in this function is viewed in the article based on the materials of sociological surveys conducted among filmgoers of the cities of Kirov and Ekaterinburg. Another side of the issue considered as well is the sociocultural effects of violent images on the rising generation in whose midst there is a “risk group” that merits careful research and preventive acknowledgment in the process of social control.

Sign in / Sign up

Export Citation Format

Share Document