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首页> 外文会议>International Geoscience Remote Sensing Symposium >Monitoring Fuel Moisture and Improving the Prediction of Wildfire Potential in Boreal Alaska with Satellite C-Band Imaging Radar
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Monitoring Fuel Moisture and Improving the Prediction of Wildfire Potential in Boreal Alaska with Satellite C-Band Imaging Radar

机译：用卫星C波段成像雷达监测燃料湿度，改善北方阿拉斯加野火潜力的预测

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Alaska currently relies on the Canadian Fire Weather Index (FWI) System for the assessment of the potential for wildfire and although it provides invaluable information it is designed as a single system which does not account for the varied fuel types and drying conditions (day length, permafrost, decomposition rate, and soil type) that occur across the North American boreal forest. Since 1999 research has been conducted to develop techniques for using Synthetic Aperture Radar to assess ground fuel moisture to improve the current fire danger prediction system in boreal Alaska. Research has been focused on recently burned forests using C-band satellite data. Analysis of the single channel SAR data resulted in two methods that can be used operationally, and a third time-series analysis method that is in need of further development but shows great promise in reducing the time-invariant confounding factors of surface roughness and aboveground biomass. Current and future research is focused on L-band PALSAR to expand to unburned areas, and the recently launched fully polarimetric Radarsat-II instrument.
机译：阿拉斯加目前依赖于加拿大火灾天气指数（FWI）系统，以评估野火的潜力，尽管它提供宝贵的信息，但它被设计为单一系统，不考虑不同燃料类型和干燥条件（日间长度，在北美北方森林中发生的永久冻土，分解率和土壤类型。自1999年以来，已经进行了研究，以开发使用合成孔径雷达的技术，以评估地面燃油水分，以改善北方阿拉斯加的当前火灾危险预测系统。研究已经专注于最近燃烧的森林，使用C频段卫星数据。单通道SAR数据的分析导致了两种方法可以操作地使用，以及需要进一步发展的第三次序列分析方法，但在减少表面粗糙度和地上生物质的时间不变的混淆因素方面表现出很大的承诺。目前和未来的研究专注于L频段波尔萨，以扩展到未燃烧的地区，最近推出的全极化径向雷达拉特-II仪器。

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