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首页> 外文期刊>Geocarto international >Identification and classification of geographically isolated wetlands in North Alabama using geographic object based image analysis (GeOBIA)
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Identification and classification of geographically isolated wetlands in North Alabama using geographic object based image analysis (GeOBIA)

机译:基于地理对象的图像分析(桥桥)北阿拉巴马州地理上湿地的识别与分类

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摘要

Due to recent Supreme Court rulings, there has been an increased interest in the isolated wetlands of the United States. These types of wetlands serve vital ecological roles such as water quality regulation and as a habitat of biological diversity. This study focuses specifically on mapping of geographically isolated wetlands, or those that are separated from traditional wetlands by a given spatial extent, using Geographic Object-Based Image Analysis (GeOBIA). GeOBIA is a type of remote sensing analysis that identifies objects and features in data-sets via automated methodologies. This type of analysis offers the opportunity to increase the efficiency of what has traditionally been a very labour intensive process of manual photo-interpretation. This analysis resulted in the delineation of 26,424 areas as geographically isolated wetlands. These results were assessed for accuracy through both manual inspection of aerial imagery and field verification which yielded accuracies of 83.7 and 87.7%, respectively.
机译:由于最高法院裁决,对美国孤立的湿地有兴趣。这些类型的湿地服务了重要的生态作用,如水质调节,作为生物多样性的栖息地。本研究专注于使用基于地理对象的图像分析(Geobia)的地理上孤立的湿地,或通过给定的空间程度与传统湿地分离的那些。 Geobia是一种遥感分析,通过自动方法识别数据集中的对象和功能。这种类型的分析提供了提高传统上是手动照片解释的劳动密集过程的效率的机会。这种分析导致了26,424个区域作为地理上孤立的湿地描绘。通过手动检查空中图像和现场核查的准确性评估了这些结果,分别产生了83.7和87.7%的准确度。

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