The survey by foot in the field is compared to the survey from a car, the photo-interpretation of Google Street View (GSV) panoramas continuously and at intervals of 1.5 km and the photo-interpretation of Google Earth aerial images on a 10 km stretch of road in Sicily. The survey by foot was used as reference for the other methods. The interpretation of continuous GSV panoramas gave similar results as the assessment by car in terms of the number of species identified and their location, but with lower cost. The interpretation online of aerial photos allowed the identification of a limited number of taxa, but gave a good localisation for them. Interpretation of GSV panoramas, each of 1.5 km, allowed the recognition of twice as many taxa as the interpretation of aerial photos and taking half the time, but did not allow a complete localisation. None of these methods alone seems sufficient to carry out a complete survey. A mixture of different techniques, which may vary according to the available resources and the goal to be achieved, seems to be the best compromise. To further test the capabilities of the survey using the interpretation of GSV panoramas every 1.5 km along the roads, we proceeded to study the alien plants along 3500 km of the road network on the island of Sicily. This survey identified only 10% of the known species for the region, but allowed us to trace the distribution of invasive species whose distribution is currently poorly recorded.

中文翻译：

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比较各种评估外来植物在道路网络上分布的方法以及在意大利西西里岛使用Google Street View全景图解释的案例研究

将实地调查与汽车调查，以1.5公里间隔的间隔连续对Google街景（GSV）全景照片进行照片解释以及将10公里长的Google Earth空中图像进行照片比较进行比较西西里岛的道路。步行调查被用作其他方法的参考。对连续GSV全景图的解释得出的结果与汽车评估所得出的物种数量及其位置类似，但成本较低。航空照片的在线解释可以识别出数量有限的分类单元，但是对它们进行了很好的定位。对GSV全景图的解释（每个1.5公里）可以识别的分类单位是航拍照片的两倍，并且花费了一半的时间，但是却无法进行完整的定位。仅这些方法似乎不足以进行完整的调查。最好的折衷办法是混合使用各种技术，这些技术可能会根据可用资源和要实现的目标而有所不同。为了使用道路上每1.5公里的GSV全景图的解释来进一步检验调查的能力，我们着手研究了西西里岛3500公里道路网络上的外来植物。这项调查仅确定了该地区已知物种的10％，但允许我们追踪目前记录不佳的入侵物种的分布。为了使用道路上每1.5公里的GSV全景图的解释来进一步检验调查的能力，我们着手研究了西西里岛3500公里道路网络上的外来植物。这项调查仅确定了该地区已知物种的10％，但允许我们追踪目前记录不佳的入侵物种的分布。为了使用道路上每1.5公里的GSV全景图的解释来进一步检验调查的能力，我们着手研究了西西里岛3500公里道路网络上的外来植物。这项调查仅确定了该地区已知物种的10％，但允许我们追踪目前记录不佳的入侵物种的分布。