Focused sunlight factor of forest fire danger assessment using Web- GIS and RS technologies Nikolay V. Baranovskiy* 1 , Vladislav S. Sherstnyov 1 , Elena P. Yankovich 1 , Marina V. Engel 2 , Vladimir V. Belov 2,3 1 National Research Tomsk Polytechnic University, 30 Lenin av., Tomsk, Russia 634050 2 Institute of Atmospheric Optics SB RAS, 1 Academician Zuev square, Tomsk, Russia, 634055 3 National Research Tomsk State University, 36 Lenin av., Tomsk, Russia 634050 ABSTRACT Timiryazevskiy forestry of Tomsk region (Siberia, Russia) is a study area elaborated in current research. Forest fire danger assessment is based on unique technology using probabilistic criterion, statistical data on forest fires, meteorological conditions, forest sites classification and remote sensing data. MODIS products are used for estimating some meteorological conditions and current forest fire situation. Geonformation technologies are used for geospatial analysis of forest fire danger situation on controlled forested territories. GIS-engine provides opportunities to construct electronic maps with different levels of forest fire probability and support raster layer for satellite remote sensing data on current forest fires. Web-interface is used for data loading on specific web-site and for forest fire danger data representation via World Wide Web. Special web-forms provide interface for choosing of relevant input data in order to process the forest fire danger data and assess the forest fire probability. Keywords: sunlight, forest fire, danger, assessment, remote sensing, web-GIS 1. Introduction Forecasting is important problem of forest fires prevention on large forested territories [1]. Now, the empirical and statistical methods of forest fire danger estimation are used in the various countries [2-4]. However, in recent years, the deterministic-probabilistic method of the forest fire danger forecast had intensive development [5,6]. Modern computing and information technologies of electronic maps are used for practical realization of this approach [7,8]. Moreover, technologies of consumer access to prognostic information have important value. It is an optimum variant to use web technologies to organize the interaction between consumers and information and computing system of the forest fire danger forecast [9,10]. Satellite sounding technologies of a terrestrial vegetative cover are applicable for estimating the current fire-dangerous situation on large forested territories [11]. MOD products from MODIS Terra/Aqua [12] are most applicable for the analysis of thermal anomalies. Article purpose is to develop the web-oriented geoinformation system for estimating the forest fire danger using modern information and computing technologies and remote sensing data of the Earth from space. 2. Problem Description At present, the most famous GIS-systems are as follows: 1. The Information System of Forest Fire Remote Monitoring of the Federal Forestry Agency (ISDM-Rosleskhoz) (Russia) [13]. It estimates the current fire danger relying on the Nesterov index without any physical basis. A separate meteorological station is responsible for the minimal territory. Thanks to the scientists from the National Research Tomsk Polytechnic University, this system acquired the probability criterion to estimate the forest fire danger with regard to the thunderstorm activity and human factor. It disregards the forest fires caused by a focused solar radiation effect. It uses the remote sensing data. *firedanger@narod.ru, phone +7-903-953-56-95, tpu.ru Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), edited by Kyriacos Themistocleous, Diofantos G. Hadjimitsis, Silas Michaelides, Giorgos Papadavid, Proc. of SPIE Vol. 9688, 968823 · © 2016 SPIE · CCC code: 0277-786X/16/$18 · doi: 10.1117/12.2240378 Proc. of SPIE Vol. 9688 968823-1 Downloaded From: http://spiedigitallibrary.org/ on 01/24/2017 Terms of Use: http://spiedigitallibrary.org/ss/termsofuse.aspx