ArcGIS for assessment and display of the probability of forest fire danger; The 9th International Forum on on Strategic Techology (IFOST-2014), September 21-23, 2014, Cox's Bazar, Bangladesh

Manylion Llyfryddiaeth
Parent link:The 9th International Forum on on Strategic Techology (IFOST-2014), September 21-23, 2014, Cox's Bazar, Bangladesh.— 2014.— [P. 222-225]
Prif Awdur: Yankovich E. P. Elena Petrovna
Awduron Corfforaethol: Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра геологии и разведки полезных ископаемых (ГРПИ), Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра теоретической и промышленной теплотехники (ТПТ)
Awduron Eraill: Baranovskiy N. V. Nikolay Viktorovich, Yankovich K. S.
Crynodeb:Title screen
This paper describes geoinformation system that includes toolset for analysis of forest areas taxation aimed at quantitative evaluation of forest fire danger. The system takes into consideration such factors as anthropogenic load, storm activity and influence focused sunlight. Conceptual basis of GIS system is physically and mathematically proved methodic of forest fire danger assessment. Computational formulae of probability of forest fire initiation are derived from basic statement of probability theory. The system is implemented in specialized software ArcGIS. The system uses standard user interface with additional functionality for assessment of probability of fire incidents in the forest quarters area due to action of caused sunlight. Received information is displayed on the map. For extra capabilities in evaluating forest fire danger unique instruments were developed in built-in Python programming language. The system is capable of evaluating probability and classification of fire danger and can be used for early detection and prediction of disasters of natural and technogenic origin.
Режим доступа: по договору с организацией-держателем ресурса
Iaith:Saesneg
Cyhoeddwyd: 2014
Pynciau:
Mynediad Ar-lein:http://dx.doi.org/10.1109/IFOST.2014.6991108
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=641646

MARC

LEADER 00000nla2a2200000 4500
001 641646
005 20240228132200.0
035 |a (RuTPU)RU\TPU\network\6563 
035 |a RU\TPU\network\6561 
090 |a 641646 
100 |a 20150526a2014 k y0rusy50 ba 
101 0 |a eng 
105 |a a z 101zy 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a ArcGIS for assessment and display of the probability of forest fire danger  |f E. P. Yankovich, N. V. Baranovskiy, K. S. Yankovich 
203 |a Text  |c electronic 
300 |a Title screen 
320 |a [References: p. 225 (11 tit.)] 
330 |a This paper describes geoinformation system that includes toolset for analysis of forest areas taxation aimed at quantitative evaluation of forest fire danger. The system takes into consideration such factors as anthropogenic load, storm activity and influence focused sunlight. Conceptual basis of GIS system is physically and mathematically proved methodic of forest fire danger assessment. Computational formulae of probability of forest fire initiation are derived from basic statement of probability theory. The system is implemented in specialized software ArcGIS. The system uses standard user interface with additional functionality for assessment of probability of fire incidents in the forest quarters area due to action of caused sunlight. Received information is displayed on the map. For extra capabilities in evaluating forest fire danger unique instruments were developed in built-in Python programming language. The system is capable of evaluating probability and classification of fire danger and can be used for early detection and prediction of disasters of natural and technogenic origin. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
463 0 |0 (RuTPU)RU\TPU\network\4213  |t The 9th International Forum on on Strategic Techology (IFOST-2014), September 21-23, 2014, Cox's Bazar, Bangladesh  |o [proceedings]  |v [P. 222-225]  |d 2014 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a ArcGIS 
610 1 |a геоинформационные системы 
610 1 |a пожарная опасность 
610 1 |a лесные пожары 
700 1 |a Yankovich  |b E. P.  |c Geologist  |c Senior Lecturer of Tomsk Polytechnic University  |f 1967-  |g Elena Petrovna  |3 (RuTPU)RU\TPU\pers\32215  |9 16215 
701 1 |a Baranovskiy  |b N. V.  |c specialist in electrical engineering  |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences  |f 1978-  |g Nikolay Viktorovich  |3 (RuTPU)RU\TPU\pers\34172  |9 17706 
701 1 |a Yankovich  |b K. S. 
712 0 2 |a Национальный исследовательский Томский политехнический университет (ТПУ)  |b Институт природных ресурсов (ИПР)  |b Кафедра геологии и разведки полезных ископаемых (ГРПИ)  |3 (RuTPU)RU\TPU\col\18660 
712 0 2 |a Национальный исследовательский Томский политехнический университет (ТПУ)  |b Энергетический институт (ЭНИН)  |b Кафедра теоретической и промышленной теплотехники (ТПТ)  |3 (RuTPU)RU\TPU\col\18679 
801 2 |a RU  |b 63413507  |c 20161229  |g RCR 
856 4 |u http://dx.doi.org/10.1109/IFOST.2014.6991108  |z http://dx.doi.org/10.1109/IFOST.2014.6991108 
942 |c CF