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Forest fire danger index based on modifying Nesterov Index, fuel and anthropogenic activities using MODIS TERRA, AQUA and TRMM satellite datasets

机译:使用MODIS TERRA,AQUA和TRMM卫星数据集修改Nesterov指数,燃料和人为活动的森林火灾危险指数

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摘要

Forest fire has been regarded as one of the major causes of degradation of Himalayan forests in Uttarakhand. Forest fires occur annually in more than 50% of forests in Uttarakhand state, mostly due to anthropogenic activities and spreads due to moisture conditions and type of forest fuels. Empirical drought indices such as Keetch-Byram drought index, the Nesterov index, Modified Nesterov index, the Zhdanko index which belongs to the cumulative type and the Angstrom Index which belongs to the daily type have been used throughout the world to assess the potential fire danger. In this study, the forest fire danger index has been developed from slightly modified Nesterov index, fuel and anthropogenic activities. Datasets such as MODIS TERRA Land Surface Temperature and emissivity (MOD11A1), MODIS AQUA Atmospheric profile product (MYD07) have been used to determine the dew point temperature and land surface temperature. Precipitation coefficient has been computed from Tropical Rainfall measuring Mission (TRMM) product (3B42RT). Nesterov index has been slightly modified according to the Indian context and computed using land surface temperature, dew point temperature and precipitation coefficient. Fuel type danger index has been derived from forest type map of ISRO based on historical fire location information and disturbance danger index has been derived from disturbance map of ISRO. Finally, forest fire danger index has been developed from the above mentioned indices and MODIS Thermal anomaly product (MOD14) has been used for validating the forest fire danger index.
机译:森林火灾被认为是北阿坎德邦喜马拉雅森林退化的主要原因之一。在北阿坎德邦州,每年有超过50%的森林发生森林火灾,这主要是由于人为活动和由于潮湿条件和森林燃料类型而造成的。全世界已经使用经验性干旱指数,例如Keetch-Byram干旱指数,Nesterov指数,改良的Nesterov指数,属于累积类型的Zhdanko指数和属于日常类型的Angstrom指数来评估潜在的火灾危险。在这项研究中,森林火灾危险指数是根据稍微改变的Nesterov指数,燃料和人为活动得出的。已使用MODIS TERRA陆面温度和发射率(MOD11A1),MODIS AQUA大气廓线积(MYD07)等数据集来确定露点温度和陆面温度。降水系数是根据热带雨量测量任务(TRMM)产品(3B42RT)计算得出的。根据印度的情况,对Nesterov指数进行了略微修改,并使用地表温度,露点温度和降水系数进行了计算。根据历史火灾位置信息,从ISRO的森林类型图得出燃料类型危险指数,并从ISRO的干扰图得出干扰危险指数。最后,从上述指标中得出森林火灾危险指数,并使用MODIS热异常产物(MOD14)来验证森林火灾危险指数。

著录项

  • 来源
    《Land surface and cryosphere remote sensing III》|2016年|98771A.1-98771A.9|共9页
  • 会议地点 New Delhi(IN)
  • 作者单位

    Forestry and Ecology Department, Indian Institute of Remote Sensing, Indian Space Research Organization, Kalidas Road, Dehradun,International Institute of Information Technology, Gachibowli, Hyderabad;

    Forestry and Ecology Department, Indian Institute of Remote Sensing, Indian Space Research Organization, Kalidas Road, Dehradun;

    International Institute of Information Technology, Gachibowli, Hyderabad;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Forest fire; MOD11; MYD07; TRMM; MOD14; Fire danger Index;

    机译:森林火灾; MOD11; MYD07; TRMM; MOD14;火灾危险指数;

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