Joint processing of RS and WWLLN data for forest fire danger estimation: new concept

被引：1
|
作者：
Baranovskiy, Nikolay V. [1 ]
Krechetova, Svetlana Yu. [2 ]
Belikova, Marina Yu. [2 ]
Kocheeva, Nina A. [2 ]
Yankovich, Elena P. [1 ]
机构：
[1] Natl Res Tomsk Polytech Univ, Tomsk, Russia
[2] Gorno Altaisk State Univ, Gorno Altaisk 649000, Russia
来源：
REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXI | 2016年 / 10001卷
关键词：
forest fire danger; prediction; lightning activity; remote sensing; WWLLN; GIS; INTERIOR ALASKA; WEATHER; FRAMEWORK; PATTERNS; SYSTEM;
D O I：
10.1117/12.2241853
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
The present article describes a new concept of lightning-caused forest fire danger using a probabilistic criterion. The assessment of forest fire danger is made on the basis of the algorithm that classifies the forest territory by vegetation conditions. Lightning activity is processed by the MODIS spectroradiometer according to the World Wide Lightning Location Network data and remote sensing data for the Timiryazevskiy forestry in the Tomsk Region. The cluster a nalysis of the WWLLN and MOD06_L2 product data are used in the present paper.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Focused sun's rays and forest fire danger: new concept
    Kuznetsov, Geniy V.
    Baranovskiy, Nikolay V.
    REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XVIII; AND OPTICS IN ATMOSPHERIC PROPAGATION AND ADAPTIVE SYSTEMS XVI, 2013, 8890
  • [2] Forest fire danger estimation based on the integration of satellite AVHRR data and topographic factors
    Lasaponara, R
    Cuomo, V
    Tramutoli, V
    Pergola, N
    Pietrapertosa, C
    Simoniello, T
    REMOTE SENSING FOR EARTH SCIENCE, OCEAN, AND SEA ICE APPLICATIONS, 1999, 3868 : 241 - 252
  • [3] Evaluation of new methods for drought estimation in the Canadian Forest Fire Danger Rating System
    Hanes, Chelene C.
    Wotton, Mike
    Bourgeau-Chavez, Laura
    Woolford, Douglas G.
    Belair, Stephane
    Martell, David
    Flannigan, Mike D.
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2023, 32 (06) : 836 - 853
  • [4] Modeling potential forest fire danger using modis data
    Badarinath K.V.S.
    Madhavi Latha K.
    Kiran Chand T.R.
    Murthy M.S.R.
    Journal of the Indian Society of Remote Sensing, 2004, 32 (4) : 343 - 350
  • [5] A study of forest fire danger district division in Lushan Mountain based on RS and GIS
    Xiao, Jinxiang
    Huang, Shu-e
    Zhong, Anjian
    Zhu, Biqin
    Ye, Qing
    Sun, Lijun
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IX, 2009, 7478
  • [6] Focused sunlight factor of forest fire danger assessment using WebGIS and RS technologies
    Baranovskiy, Nikolay V.
    Sherstnyov, Vladislav S.
    Yankovich, Elena P.
    Engel, Marina V.
    Belov, Vladimir V.
    FOURTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2016), 2016, 9688
  • [7] FOREST TAXATION DATA GEOPROCESSING FOR ASSESSMENT OF FOREST FIRE DANGER CAUSED BY FOCUSED SUNLIGHT
    Yankovich, Elena P.
    Baranovskiy, Nikolay V.
    GEOCONFERENCE ON INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL I, 2014, : 607 - 612
  • [8] Synergy of GIS and Remote Sensing Data in Forest Fire Danger Modeling
    Hernandez-Leal, Pedro A.
    Gonzalez-Calvo, Alejandro
    Arbelo, Manuel
    Barreto, Africa
    Alonso-Benito, Alfonso
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 1 (04) : 240 - 247
  • [9] Monitoring for grassland and forest fire danger using remote sensing data
    Wang, LT
    Zhou, Y
    Wang, SX
    Chen, SR
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 2095 - 2098
  • [10] USE OF RADAR DATA TO DELINEATE AREAS OF HIGH FOREST FIRE DANGER
    KRUEGER, DW
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1968, 49 (5P2) : 569 - &
12345