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
  • [21] Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating
    Chuvieco, E
    Cocero, D
    Riaño, D
    Martin, P
    Martínez-Vega, J
    de la Riva, J
    Pérez, F
    REMOTE SENSING OF ENVIRONMENT, 2004, 92 (03) : 322 - 331
  • [22] Preliminary estimation of forest fire danger using LANDSAT images over Baikal Lake basin forests
    Baranovskiy, Nikolay V.
    Yankovich, Ksenia S.
    Yankovich, Elena P.
    24TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2018, 10833
  • [23] PARAMETER ESTIMATION AND DATA-DRIVEN METHOD FOR FOREST FIRE PREDICTION
    Li, X.
    Tang, C.
    Zhang, M.
    Zhang, S.
    Li, S.
    Wang, Y.
    Sun, S.
    Liu, J.
    Mathematical and Computational Forestry and Natural-Resource Sciences, 2023, 15 (01): : 7 - 16
  • [24] PARAMETER ESTIMATION AND DATA-DRIVEN METHOD FOR FOREST FIRE PREDICTION
    Li, X.
    Tang, C.
    Zhang, M.
    Zhang, S.
    Li, S.
    Wang, Y.
    Sun, S.
    Liu, J.
    MATHEMATICAL AND COMPUTATIONAL FORESTRY & NATURAL-RESOURCE SCIENCES, 2023, 15 (01): : 7 - 16
  • [25] Gridded return values of McArthur Forest Fire Danger Index across New South Wales
    Louis, S. A.
    AUSTRALIAN METEOROLOGICAL AND OCEANOGRAPHIC JOURNAL, 2014, 64 (04): : 243 - 260
  • [26] Processing of Near Real Time Land Surface Temperature and Its Application in Forecasting Forest Fire Danger Conditions
    Ahmed, M. Razu
    Hassan, Quazi K.
    Abdollahi, Masoud
    Gupta, Anil
    SENSORS, 2020, 20 (04)
  • [27] Estimation of Forest Stand Age Based on GWR Model and Forest Fire Remote Sensing Data
    Du Y.
    Li M.
    Fan W.
    Wang B.
    Linye Kexue/Scientia Silvae Sinicae, 2019, 55 (06): : 184 - 194
  • [28] An Advanced Forest Fire Danger Forecasting System: Integration of Remote Sensing and Historical Sources of Ignition Data
    Abdollahi, Masoud
    Islam, Tanvir
    Gupta, Anil
    Hassan, Quazi K.
    REMOTE SENSING, 2018, 10 (06)
  • [29] A new fire retardant sheathing concept for UTP data cables and fire resistant cables
    Preston, J
    Sawyer, D
    Procter, M
    COMMUNICATION CABLES AND RELATED TECHNOLOGIES EC'99, 1999, : 55 - 60
  • [30] A New Concept of Filters for Biomedical Data Processing Needs
    Piskorowski, Jacek
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2011, 31 (01) : 27 - 37
12345