• International Journal of Technology (IJTech)
  • Vol 12, No 2 (2021)

Peatland Fire Geotagging Photo for Investigation Tool using Smartphone

Peatland Fire Geotagging Photo for Investigation Tool using Smartphone

Title: Peatland Fire Geotagging Photo for Investigation Tool using Smartphone
Rony Teguh, Ariesta Lestari, Benone J Louhenapessy, Hiroshi Hayasaka, Rizal Endar Wibowo

Corresponding email:


Cite this article as:
Teguh, R., Lestari, A., Louhenapessy, B.J., Hayasaka, H., Wibowo, R.E., 2021. Peatland Fire Geotagging Photo for Investigation Tool using Smartphone. International Journal of Technology. Volume 12(2), pp. 422-431

690
Downloads
Rony Teguh Informatics Department, Faculty of Engineering, University of Palangka Raya, Jln Yos Sudarso Palangka Raya, Kalimantan Tengah 73112, Indonesia
Ariesta Lestari Informatics Department, Faculty of Engineering, University of Palangka Raya, Jln Yos Sudarso Palangka Raya, Kalimantan Tengah 73112, Indonesia
Benone J Louhenapessy Study Program of Environmental Science, University of Palangka Raya, Jln Yos Sudarso Palangka Raya, Kalimantan Tengah 73112, Indonesia
Hiroshi Hayasaka Hokkaido University, N14 W3, Kita-ku, Sapporo 001-0014, Japan
Rizal Endar Wibowo Informatics Department, Faculty of Engineering, University of Palangka Raya, Jln Yos Sudarso Palangka Raya, Kalimantan Tengah 73112, Indonesia
Email to Corresponding Author

Abstract
Peatland Fire Geotagging Photo for Investigation Tool using Smartphone

One of the ways to control tropical peat fires is to use a combination of the Global Navigation Satellite System (GNSS) and smartphones for monitoring, reporting, and verification of the location of the fires. The latest smartphones have many sensors, such as a compass, accelerometer, GPS, and a camera, to collect forest activity data from a specific target area. The collected data were then transferred to a cloud server through global mobile communication. This paper discusses a mobile and web application-based approach to collect and analyze user-generated geographical information of human activity data. The paper aims is to promote law enforcement agencies, local government, and fire patrol to consider the use of this low-cost, easy-to-use technology in controlling and reducing the risk of tropical peatland fires. Our mobile application has an easy-to-use mapping technology that allows its users to locate addresses quickly and provides cartographic maps augmented with digital information and high-resolution aerial imagery. This study proposes online citizen reporting as a new approach for law enforcement by aiding local government and fire patrols to conduct monitoring, reporting, and verification to reduce the risk of peat forest fires.

Geotagged photo; GNSS; Investigation tool; Peatland fire; Smartphone

Introduction

        Tropical peatland fires caused by spontaneous combustion, human activity pose critical problems, especially in Indonesia. Tropical peatland fires can cause to significant health, economic, environmental damage and worsen climate damage (Hayasaka et al., 2014; Alisjahbana and Busch, 2017; Purnomo et al., 2017)?. In Sumatra and Kalimantan Island, many of fire events are detected by satellites. Because the initial detection of peatland fires is of importance for effective burnout, a detection and monitoring system for Indonesian forest fires has been developed (Siegert et al., 2004; Groot et al., 2007; Elvidge et al., 2015; Iizuka et al., 2018; Sandhyavitri et al., 2019)?. One of the ways to control tropical peat fires is the use of Global Navigation Satellite System (GNSS) and smartphones for effective monitoring and prevention. The latest smartphones have many features, such as a compass, accelerometer, Global Positioning System (GPS), and camera, to collect and measure forest activity data from a specific target area (Masiero et al., 2016; Keefe et al., 2019).

        The collected data are then aggregated to the cloud server through global mobile communication. This system can provide direct reports and analyses of criminal activity patterns resulting in tropical peatland forest fires through smartphone-based citizen reporting.

       A lot of monitoring and surveillance systems for tropical peatland fires are currently based on satellites, drones, fire lookout towers, or wireless sensor networks (Teguh et al., 2012; Kadir et al., 2019; Salman et al., 2019). Although these methods are easy to use, they all present serious drawbacks that limit peat and forest fire monitoring effectiveness. Smartphones and GPS can create digital images with spatial information, which are commonly referred to as geotagged photos (Merry and Bettinger, 2019). The geographical positioning is created automatically by the GNSS satellite. The geotagging of photos is possible using digital cameras with a built-in smartphone model (Mamei et al., 2010; Orsi and Geneletti, 2013; Krylov et al., 2018). In this paper, we establish a combination of mobile applications and geotagged photos as a novel method to collect such as fire data, quickly and efficiently for investigating tropical peatland fires. Moreover, this methodology can be used for various environmental investigations.

    Using the methodology discussed in this paper, users can employs smartphone-based mobile application to generate geographical information related to criminal activity resulting in forest fires. This paper aims to encourage law enforcement agencies, local governments, and fire patrols to consider this low-cost device and easy-to-use technology for monitoring tropical peatland fires. The GPS technology in smartphones automatically generates and stores the coordinates in an Exchangeable Image File (EXIF) every time a photograph is taken. The EXIF file data also contain information, such as the time/date an image was captured and the basic information about the camera model.

        Google Maps is a popular mapping service application that offers a simple location look-up functionality and easily accessible online/offline mapping and cartography for citizen reporting. The cartographic maps provided by Google Maps is augmented with digital information and high resolution aerial imagery. This paper introduces online citizen reporting as a new approach for law enforcement to conduct environmental investigation of tropical peatland fires.

        The monitoring peat and forest fire techniques are currently based on satellites, watchtowers, or sensor networks. Although helpful, both technologies present serious drawbacks, limiting their detection capability. In this paper, we propose a method for monitoring, reporting, and verifying tropical peat fires using smartphone technology. Our method is novel, useful, and very quick to perform a timely response to the occurrence of fires in peat and forest areas.

Conclusion

        We developed a mobile and web application for monitoring and verification of citizen reporting of peat fire sightings. The geotagged photos and descriptions collected from smartphones were sent via a global communication system. Firefighters used the coordinates and crime scene photos as preliminary evidence in the investigation of peatland fire events. The Google Maps services in our mobile app can be used to track the fire location and find nearby water sources and roads. The app also provided measurement of the response time and duration to stop the fire. A record of crime data included the location of the fire event and the soil type (peat or mineral). The characteristic type of fire is still on the surface of the peat.

    In this study, smartphone users generated geographical information and a mobile-based web application was subsequently used to collect and analyze activity crime activity data. This is a low-cost device and easy-to-use technology to monitor and control tropical peatland fire. The collected data has contributed to the monitoring, reporting, and verification of peat fire preventive strategies.

References

Alisjahbana, A.S., Busch, J.M., 2017. Forestry, Forest Fires, and Climate Change in Indonesia. Bulletin of Indonesian Economic Studies, Volume 53(2), pp. 111–136

Arifin, Z.N., Axhausen, K.W., 2012. Investigating Commute Mode and Route Choice Variabilities in Jakarta using Multi-Day GPS Data. International Journal of Technology, Volume 3(1), pp. 4555

Dwiyantoro, A.P.J., Nugraha, I.G.D., Choi, D., 2016. A simple Hierarchical Activity Recognition System using a Gravity Sensor and Accelerometer on a Smartphone. International Journal of Technology, Volume 7(5), pp. 831839

Elvidge, C.D., Zhizhin, M., Hsu, F.C., Baugh, K., Khomarudin, M.R., Vetrita, Y., Sofan, P., Suwarsono., Hilman, D., 2015. Long-wave Infrared Identification of Smoldering Peat Fires in Indonesia with Nighttime Landsat Data. Environmental Research Letters, Volume 10(6), pp. 1–12

Groot, W.J.D., Field, R.D., Brady, M.A., Roswintiarti, O., Mohamad, M., 2007. Development of the Indonesian and Malaysian Fire Danger Rating Systems. Mitigation and Adaptation Strategies for Global Change, Volume 12(1), pp. 165–180

Hayasaka, H., Noguchi, I., Putra, E., Yulianti, N., Vadrevu, K., 2014. Peat-fire-related Air Pollution in Central Kalimantan, Indonesia. Environmental Pollution, Volume 195, pp. 257–266

Iizuka, K., Watanabe, K., Kato, T., Putri, N.A., Silsigia, S., Kameoka, T., Kozan, O., 2018. Visualizing the Spatiotemporal Trends of Thermal Characteristics in a Peatland Plantation Forest in Indonesia: Pilot Test using Unmanned Aerial Systems (UASs). Remote Sensing, Volume 10(9), pp. 1–15

Kadir, E.A., Irie, H., Rosa, S.L., Othman, M., 2019. Modelling of Wireless Sensor Networks for Detection Land and Forest Fire Hotspot. Telkomnika (Telecommunication Computing Electronics and Control), Volume 17(6), pp. 2772–2781

Keefe, R.F., Wempe, A.M., Becker, R.M., Zimbelman, E.G., Nagler, E.S., Gilbert, S.L., Caudill, C.C., 2019. Positioning Methods and the Use of Location and Activity Data in Forests. Forests, Volume 10(5), pp. 1–46

Krylov, V.A., Kenny, E., Dahyot, R., 2018. Automatic Discovery and Geotagging of Objects from Street View Imagery. Remote Sensing, Volume 10(5), pp. 1–20

Mamei, M., Rosi, A., Zambonelli, F., 2010. Automatic Analysis of Geotagged Photos for Intelligent Tourist Services. In: The 6th International Conference on Intelligent Environments, IE 2010, May, pp. 146–151

Masiero, A., Fissore, F., Pirotti, F., Guarnieri, A., Vettore, A., 2016. Toward the Use of Smartphones for Mobile Mapping. Geo-Spatial Information Science, Volume 19(3), pp. 210–221

Merry, K., Bettinger, P., 2019. Smartphone GPS Accuracy Study in an Urban Environment. PLoS ONE, Volume 14(7), pp. 1–19

Orsi, F., Geneletti, D., 2013. Using Geotagged Photographs and GIS Analysis to Estimate Visitor Flows in Natural Areas. Journal for Nature Conservation, Volume 21(5), pp. 359–368

Purnomo, H., Shantiko, B., Sitorus, S., Gunawan, H., Achdiawan, R., Kartodihardjo, H., Dewayani, A.A., 2017. Fire Economy and Actor Network of Forest and Land Fires in Indonesia. Forest Policy and Economics, Volume 78, pp. 21–31

Salman, A.D., Khalaf, O.I., Abdulsaheb, G.M., 2019. An Adaptive Intelligent Alarm System for Wireless Sensor Network. Indonesian Journal of Electrical Engineering and Computer Science, Volume 15(1), pp. 142–147

Sandhyavitri, A., Sutikno, S., Sahputra, R., Amri, R., Widodo, H., Husaini, R.R., Seto, T.H., 2019. The Roles of Network Analyses in Optimizing the Number and Locations of Fire Brigade Posts in Mitigating Peatfires. International Journal of Technology, Volume 10(8), pp. 15481557

Siegert, F., Zhukov, B., Oertel, D., Limin, S., Page, S.E., Rieley, J.O., 2004. Peat Fires Detected by the BIRD Satellite. International Journal of Remote Sensing, Volume 25(16), pp. 3221–3230

Teguh, R., Honma, T., Usop, A., Shin, H., Igarashi, H., 2012. Detection and Verification of Potential Peat Fire using Wireless Sensor Network and UAV. In: International Conference on Information Technology and Electrical Engineering, June 2014, 6–10, Indonesia