Android mobile application for wildfire reporting and monitoring

Abstract

Peat fires cause major environmental problems in Central Kalimantan Province, Indonesia and threaten human health and effect the social-economic sector. The lack of peat fire detection systems is one factor that causing these reoccurring fires. Therefore, in this study, we develop an Android mobile platform application and a web-based application to support the citizen-volunteers who want to contribute wildfires reports, and the decision-makers who wish to collect, visualize, and evaluate these wildfires reports. In this paper, the global navigation satellite system (GNSS) and a global position system (GPS) sensor from a smartphone’s camera, is a useful tool to show the potential fire and smoke’s close-range location. The exchangeable image (EXIF) file image and GPS metadata captured by a mobile phone can store and supply raw observation to our devices and sent it to the data center through global internet communication. This work’s results are the proposed application easy-to-use to monitoring potential peat fire by location and data activity. This paper focuses on developing an application for the mobile platform for peat fire reporting and a web-based application to collect peat fire location for decision-makers. Our main objective is to detect the potential and spread of fire in peatlands as early as possible by utilizing community reports using smartphones.

Development of the information system for monitoring time changes in forest plantations based on the analysis of space images

“…Existing systems [23][24][25][26][27][28] do not have the functionality to identify dependences between the data it operates on and do not predict them. The information system using correlation and regression analysis identifies factors that negatively affect forest plantations.…”

“…The application also includes maps of current fires, new reports on the situation and weather within the radius of forest fires, as well as current news about forest fires. The newest features of the application include location information from the "Map Tools" menu, which can be clicked to quickly access the pop-up window with time zone, address, and latitude/longitude [27].…”

Design of smoke detection system using deep learning and sensor fusion with recursive feature elimination cross-validation

“…Still, these sensors act independently as parameter readings which require operator supervision in determining the occurrence of a fire hazard in the forest, The use of a machine learning approach with the supporting vector machine (SVM) method and partial least square discriminant analysis (PLS-DA) using gas-based sensors such as metal oxide sensors, electrochemical sensors, temperature sensors, and humidity, shows increased accuracy in the use of machine learning based on sensor fusion and gas parameter correlation in fire detection systems, the use of a barometer to measure air pressure around the fire area as a fire extinguisher, and the use of particulate-matter sensors to detect fires in wild forests [7]- [10]. The use of parameters such as heat, smoke and flame are also used as decision-making parameters in the sprinkler and alerting process [11], [12], and android based application with global positioning systems is also used for wildfire reporting and monitoring system [13]. The diversity of sensor types used as parameter reading instruments in early fire prevention systems has led to increased complexity in system design and the selection process of sensor components.…”

Modelling and estimating trajectory points from RTK-GNSS based on an integrated modelling approach

“…Global navigation satellite system (GNSS) comprised of a group of satellites that generate and transmit positioning, timing, and navigation data from space to connected receivers or devices on earth. GNSSs were used in various applications such as locating potential forest fires [1]; space surveillance and tracking system [2]; observation of coastal tides [3]; cadastral surveying [4] and localization and navigation system [5]. In addition to GNSS, simultaneous localization and mapping systems (SLAM) [6]- [8] and indoor localization and navigation systems [9]- [10] were developed for localization and navigation systems.…”