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Mapping saguaro cacti using digital aerial imagery in Saguaro National Park

机译:使用数字空中图像映射仙人掌仙人掌在佐瓜罗国家公园

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Population research on the saguaro cactus (Carnegiea gigantea) has historically been limited to repeat monitoring efforts in small plots with areas of 1 to 4 hectares. Large extent saguaro censuses of areas 2.59 km(2) have not been undertaken. This research developed an automated shadow detection method for mapping mature saguaros in digital aerial imagery using saguaro shadows as proxies for saguaro locations. The shadow method detected 446,092 saguaro shadows in aerial imagery of 231 km(2) of the Saguaro National Park (SNP) near Tucson, Arizona. The results were validated against saguaro location data in 11 small plots provided by SNP staff. The shadow method correctly identified 58% of mature saguaros in these 11 plots. Twenty-one percent of the saguaros in the plots did not produce a shadow signature in the imagery. Fieldwork was conducted in two plot locations to investigate reasons why these mature saguaros failed to produce shadow signatures in the aerial imagery, which showed that vegetation interference, rocky slopes, and shadow alignments were the primary factors that precluded shadow signatures from appearing in the imagery. This research provides a methodology for automated large-area saguaro mapping, which will be useful in long-term population monitoring and saguaro ecology research. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:历史上仅限于历史上历史上历史上历史上历史上的历史上,以1至4公顷的区域重复监测努力。在很大程度上萨格拉罗范围的普查群普查,尚未进行2.59公里(2)。本研究开发了一种自动暗影检测方法,用于使用SAGUARO阴影在数字空中图像中映射成熟的SAGUAROS作为SAGUARO位置的代理。阴影方法检测到亚利桑那州图森附近的231 km(2)张仙人掌国家公园(SNP)的飞行图像中的446,092张仙人掌阴影。结果验证了SNP工作人员提供的11个小图中的Saguaro位置数据。暗影方法在这11个地块中正确地确定了58%的成熟柱状。在地图中的二十一百分之一的柱状没有在图像中产生阴影签名。实地工作是在两个绘图位置进行的,以调查这些成熟的Saguaros未能在空中图像中产生阴影签名的原因,这表明植被干扰,岩石斜坡和阴影对齐是排除阴影签名出现在图像中的主要因素。本研究提供了自动化大面积柱形测绘的方法,可用于长期人口监测和仙人掌生态研究。 (c)2018年光学仪表工程师协会(SPIE)

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