首页> 外文会议>International conference on remote sensing for marine and coastal environments >Local Distribution of Seagrasses(phyllopadix spp) By Means of processing Infrared and Color Imagery Obtained With a Tethered Blimp to the North Of ensenada, Mexico
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Local Distribution of Seagrasses(phyllopadix spp) By Means of processing Infrared and Color Imagery Obtained With a Tethered Blimp to the North Of ensenada, Mexico

机译:海藻(phyllopadix spp)在墨西哥ensenada北部通过系绳飞艇获得的红外图像和彩色图像的局部分布

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Local cover classes and distribution of surfgrasses patches in the study area were mapped using a true-color and false-color digital imagery botained with a photographic camera installed in a blimp. Flights using the small tethered blimp inflated with Helium were carried out in March 1998. The flights were performed elevating the blimp borne camera system from 100m to 300m of height approximately above the ground. A supervised classification will be applied using the maximum likelihood algorithm, considering ten initial classes established by means of several training sites. This classificatinon will be evaluated by obtaining a classification error matrix and by assessing its accuracy considering information recorded by field work. 23 biomass sampling sites and 121 height points for DTM construction were obtained, using as spatial reference the grid-lines established, which have been useful to delineate areas where land cover have been directly recorded in field.
机译:使用真彩色和假彩色数字图像(使用装在飞艇中的摄影机拍摄的图像)绘制研究区域中的当地覆盖物类别和冲浪草斑块的分布图。 1998年3月,使用装有氦气的小型系留飞艇进行了飞行。飞行的进行是将飞艇携带的摄像系统从大约100m的高度提升到大约地面300m的高度。将使用最大似然算法应用监督分类,考虑通过几个培训站点建立的十个初始类。将通过获得分类误差矩阵并考虑现场工作记录的信息评估其准确性来评估该分类。使用建立的网格线作为空间参考,获得了用于DTM建设的23个生物质采样点和121个高度点,这对于描绘已在野外直接记录土地覆盖的区域非常有用。

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