| 000 | 03254nlm2a2200457 4500 | ||
|---|---|---|---|
| 001 | 654196 | ||
| 005 | 20231030041250.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\19734 | ||
| 035 | _aRU\TPU\network\19705 | ||
| 090 | _a654196 | ||
| 100 | _a20170414a2016 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _aa z 101zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aWeb-GIS platform for forest fire danger prediction in Ukraine: prospects of RS technologies _fN. V. Baranovskiy, M. V. Zharikova |
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| 203 |
_aText _celectronic |
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| 225 | 1 | _aPoster Session | |
| 300 | _aTitle screen | ||
| 320 | _a[References: 18 tit.] | ||
| 330 | _aThere are many different statistical and empirical methods of forest fire danger use at present time. All systems have not physical basis. Last decade deterministic-probabilistic method is rapidly developed in Tomsk Polytechnic University. Forest sites classification is one way to estimate forest fire danger. We used this method in present work. Forest fire danger estimation depends on forest vegetation condition, forest fire retrospective, precipitation and air temperature. In fact, we use modified Nesterov Criterion. Lightning activity is under consideration as a high temperature source in present work. We use Web-GIS platform for program realization of this method. The program realization of the fire danger assessment system is the Web-oriented geoinformation system developed by the Django platform in the programming language Python. The GeoDjango framework was used for realization of cartographic functions. We suggest using of Terra/Aqua MODIS products for hot spot monitoring. Typical territory for forest fire danger estimation is Proletarskoe forestry of Kherson region (Ukraine). | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 1 |
_0(RuTPU)RU\TPU\network\12028 _tProceedings of SPIE |
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| 463 |
_tVol. 10001 : Remote Sensing of Clouds and the Atmosphere XXI _oEdinburgh, September 26, 2016, United Kingdom _o[proceedings] _v[100010Y, 6 p.] _d2016 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aassessment | |
| 610 | 1 | _aremote sensing | |
| 610 | 1 | _aWeb - ГИС | |
| 610 | 1 | _aлесные пожары | |
| 610 | 1 | _aопасность | |
| 610 | 1 | _aоценка | |
| 610 | 1 | _aдистанционное зондирование | |
| 610 | 1 | _aИнтернет | |
| 700 | 1 |
_aBaranovskiy _bN. V. _cspecialist in electrical engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical sciences _f1978- _gNikolay Viktorovich _2stltpush _3(RuTPU)RU\TPU\pers\34172 |
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| 701 | 1 |
_aZharikova _bM. V. _gMarina Vitaljevna |
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| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bЭнергетический институт (ЭНИН) _bКафедра теоретической и промышленной теплотехники (ТПТ) _h117 _2stltpush _3(RuTPU)RU\TPU\col\18679 |
| 801 | 2 |
_aRU _b63413507 _c20170414 _gRCR |
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| 856 | 4 | _uhttp://dx.doi.org/10.1117/12.2241670 | |
| 942 | _cCF | ||