J. Heblinski, K. Schmieder, T. Heege, T. Agyemang, H. Sayadyan, L. Vardanyan
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引用次数: 1
Abstract
Methods of remote sensing are increasingly common techniques for the support of environmental and commercial projects. Different sensors with different spatial and spectral characteristics and their combinations accumulate a convenient database for analysis of environmental parameters. The two Moderate Resolution Imaging Spectrometers (MODIS Aqua and Terra) acquire 2 complete coverages ofthe earth's surface per day. The Modular Inversion and Processing System (MIP; HEEGE & F!SCHER 2004, KISSELEV et al. 2005, MIKSA et al. 2006) allows the highly automated retrieval o f water constituents o f limnic habitats from remote sensing da ta. W e analyzed the seasonal development o f water constituents in the high mountainous Lake Sevan in 2006 by using the retrieval algorithms of MIP for data of sensor MODIS.
遥感方法日益成为支持环境和商业项目的常用技术。具有不同空间和光谱特征的不同传感器及其组合为分析环境参数积累了方便的数据库。两个中分辨率成像光谱仪(MODIS Aqua和Terra)每天获得2个地球表面的完整覆盖。模块化反演与处理系统(MIP)Heege & f !SCHER 2004, KISSELEV et al. 2005, MIKSA et al. 2006)允许从遥感数据中高度自动化地检索生物栖息地的水成分。利用遥感MODIS数据的MIP检索算法,分析了2006年高山塞万湖水体成分的季节变化特征。