首页> 外文会议>Conference on land surface and cryosphere remote sensing III >Forest fire danger index based on modifying Nesterov Index, fuel and anthropogenic activities using MODIS TERRA, AQUA and TRMM satellite datasets
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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:基于修改Nesterov指数,燃料和人为活动的森林火灾危险指数使用Modis Terra,Aqua和Trmm卫星数据集

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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:森林火灾被认为是喜马拉雅森林在北方森林下降的主要原因之一。森林火灾每年在北方人森林中每年发生,主要是由于人为活动和由于森林燃料的湿度和型型涂抹。实证干旱指数如Keetch-拜勒姆干旱指数,涅斯捷罗夫指数,改良涅斯捷罗夫指数,属于累计型和属于日常型的埃指数Zhdanko指数已被用于世界各地,以评估潜在的火灾危险。在这项研究中,森林火灾危险指数已从略微改造的Nesterov指数,燃料和人为活动中开发。数据集如MODIS TERRA地表温度和发射率(MOD11A1),MODIS AQUA大气轮廓产物(MYD07)已经被用来确定露点温度和地表温度。从热带降雨测量使命(TRMM)产品(3B42RT)计算了降水系数。 Nesterov指数根据印度语境略微修改,并使用陆地温度,露点温度和降水系数计算。基于历史火灾地点信息和扰动危险指数,燃料型危险指数源自伊罗伊罗的森林类型地图已来自ISRO的干扰图。最后,森林火灾危险指数已从上述索引和MODIS热异常产品(MOD14)开发,已被用于验证森林火灾危险指数。

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