The abstract classification system Nature in Norway (NiN) has detailed ecological definitions of a high number of ecosystem units, but its applicability in practical vegetation mapping is unknown because it was not designed with a specific mapping method in mind. To investigate this further, two methods for mapping – 3D aerial photographic interpretation of colour infrared photos and field survey – were used to map comparable neighbouring sites of 1 km² in Hvaler Municipality, south-eastern Norway. The classification accuracy of each method was evaluated using a consensus classification of 160 randomly distributed plots within the study sites. The results showed an overall classification accuracy of 62.5% for 3D aerial photographic interpretation and 82.5% for field survey. However, the accuracy varied for the ecosystem units mapped. The classification accuracy of ecosystem units in acidic, dry and open terrain was similar for both methods, whereas classification accuracy of calcareous units was highest using field survey. The mapping progress using 3D aerial photographic interpretation was more than two times faster than that of field survey. Based on the results, the authors recommend a method combining 3D aerial photographic interpretation and field survey to achieve effectively accurate mapping in practical applications of the NiN system.

抽象分类系统“挪威自然”（NiN）具有大量生态系统单元的详细生态定义，但由于其设计时并未考虑到特定的映射方法，因此其在实际植被映射中的适用性尚不清楚。为了对此进行进一步调查，使用了两种绘制地图的方法-彩色红外照片的3D航拍照片解释和野外勘测-绘制了1 km ²在挪威东南部的哈瓦勒市。使用研究地点内160个随机分布的地块的共识分类来评估每种方法的分类准确性。结果显示，3D航拍图像的总体分类准确度为62.5％，实地调查的总体分类准确度为82.5％。但是，精确度因所绘制的生态系统单位而异。两种方法在酸性，干燥和开阔地带的生态系统单位的分类精度均相似，而通过实地调查，钙质单位的分类精度最高。使用3D航空摄影解释的制图进度比实地调查快两倍以上。根据结果​​，