首页> 外文期刊>Journal of Applied Remote Sensing >Analysis of seven-year moderate resolution imaging spectroradiometer vegetation water indices for drought and fire activity assessment over Georgia of the United States
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Analysis of seven-year moderate resolution imaging spectroradiometer vegetation water indices for drought and fire activity assessment over Georgia of the United States

机译:用于美国佐治亚州干旱和火灾活动评估的七年中分辨率成像光谱仪植被水分指数分析

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摘要

Using a seven-year history of the satellite measurements and meteorology data over Georgia, USA, this study investigated the capability of a series of satellite-derived vegetation water indices for drought monitoring, as well as the connection between fire occurrence and drought conditions. The vegetation water indices are normalized calculations between MODIS near infrared band 2 and shortwave infrared bands 5, 6, 7, and the difference between bands 6 and 7, denoted by NDWI_(2, 5), NDWI_(2, 6), NDWI_(2, 7) and NMDI, respectively. Results show that the drought conditions indicated by NMDI, NDWI_(2, 6) and NDWI_(2, 7) agree well with what have been identified by meteorology data. NMDI, however, has demonstrated more dependable results regarding seasonal moisture variations, as well as stronger responses to drought conditions than NDWI_(2, 6), and NDWI_(2, 7). The annual fire number exhibits high correspondence to drought conditions. Drought intensity also influenced fire extent and the most widespread fires occurred during the driest years. Analysis reveals that NMDI can be used as an effective indicator for fire risk monitoring. It is expected that this research will greatly benefit many applications, such as monitoring drought and detecting fire danger potential.
机译:利用美国佐治亚州七年的卫星测量和气象数据历史,本研究调查了一系列卫星衍生的植被水分指数用于干旱监测的能力,以及火灾与干旱条件之间的联系。植被水分指数是近红外波段2和短波红外波段5、6、7的MODIS之间的归一化计算,以及波段6和7之间的差值由NDWI_(2,5),NDWI_(2,6),NDWI_( 2、7)和NMDI。结果表明,由NMDI,NDWI_(2,6)和NDWI_(2,7)指示的干旱条件与气象数据已确定的条件非常吻合。但是,与NDWI_(2,6)和NDWI_(2,7)相比,NMDI在季节性水分变化以及对干旱条件的响应方面显示出更加可靠的结果。每年的火灾数字与干旱状况高度吻合。干旱强度也影响着火程度,最广泛的火灾发生在最干旱的年份。分析表明,NMDI可以用作火灾风险监控的有效指标。可以预期,这项研究将极大地有益于许多应用,例如监测干旱和发现火灾隐患。

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