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Multisensor Monitoring System for Assessment of Locust Hazard Risk in the Lake Balkhash Drainage Basin

机译:多传感器监测系统评估巴尔哈什湖流域的蝗虫危害风险

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摘要

Satellite and ground-based data were combined in a monitoring system to quantify the link between climate conditions and the risk of locust infestations in the southern part of Lake Balkhash’s drainage basin in the Republic of Kazakhstan. In this monitoring system, the Normalized Difference Vegetation Index (NDVI), derived from the SPOT-VGT satellite, was used for mapping potential locust habitats and monitoring their area throughout 1998 to 2007. TOPEX/Poseidon and Jason 1 altimeter data were used to track the interannual dynamics of water level in Balkhash Lake. Climate conditions were represented by weather records for air temperature and precipitation during the same period. The classification procedure, based on an analysis of multitemporal dynamics of SPOT-VGT NDVI values observed by individual vegetation classes, generated annual areas of ten land-cover types, which were then categorized as areas with low, medium, and high risk for locust infestation. Statistical analyses showed significant influences of the climatic parameters and the Balkhash Lake hydrological regime on the spatial extend of annual areas of potential locust habitats. The results also indicate that the linkages between locust infestation risk and environmental factors are characterized by time lags. The expansion of locust risk areas are usually preceded by dry, hot years and lower water levels in Balkhash Lake when larger areas of reed grass are free from seasonal flooding. Years with such conditions are favourable for locust outbreaks due to expansion of the habitat areas suitable for locust oviposition and nymphal development. In contrast, years with higher water levels in Balkhash Lake and lower temperature decrease the potential locust habitat area.
机译:卫星和地面数据结合在一个监控系统中,以量化气候条件与哈萨克斯坦共和国巴尔喀什湖流域南部的蝗虫侵袭风险之间的联系。在此监视系统中,从SPOT-VGT卫星获得的归一化植被指数(NDVI)用于绘制潜在的蝗虫栖息地,并在1998年至2007年期间监视其面积。使用TOPEX / Poseidon和JasonÂ1高度计数据进行跟踪Balkhash湖水位的年际动态。同期的气温和降水气象记录代表了气候条件。该分类程序基于对单个植被类别观测到的SPOT-VGT NDVI值的多时相动态分析,生成了十种土地覆盖类型的年面积,然后将其分类为蝗虫侵害的低,中和高风险区域。统计分析表明,气候参数和巴尔喀什湖水文状况对潜在蝗虫生境年面积的空间扩展有重大影响。结果还表明,蝗虫侵染风险与环境因素之间的联系具有时滞特征。当大片芦苇草没有季节性洪灾时,巴尔喀什湖通常会在蝗灾危险地区扩大之前出现干旱,炎热的年份和较低的水位。由于适合蝗虫产卵和若虫发育的栖息地面积的扩大,具有这种条件的年份有利于蝗虫的爆发。相反,巴尔喀什湖水位较高且温度较低的年份会减少潜在的蝗虫栖息地面积。

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