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LE90: Understanding Linear Error at 90% Confidence
LE90 (Linear Error at 90%) is an important accuracy standard used in GIS, surveying, remote sensing, photogrammetry, and geospatial mapping to evaluate horizontal positional accuracy. LE90 represents the horizontal error value within which approximately 90% of measured or mapped positions are expected to fall. A lower LE90 value indicates better positional accuracy and greater confidence in the spatial data.
LE90 is commonly applied to assess the accuracy of aerial imagery, satellite imagery, orthophotos, topographic maps, drone mapping, LiDAR datasets, and GIS layers. It helps GIS professionals compare datasets, validate mapping products, and determine whether spatial data meets specific project accuracy requirements. In drone and aerial surveying, LE90 can be used alongside ground control points (GCPs), GNSS/RTK measurements, and independent checkpoints to quantify mapping accuracy. Understanding LE90 is essential for producing reliable geospatial datasets and making informed decisions in GIS analysis, land surveying, infrastructure mapping, urban planning, and remote sensing applications.

LE90 (Linear Error at 90%) is a widely used measure of horizontal positional accuracy in GIS, surveying, remote sensing, photogrammetry, and digital mapping. It defines the horizontal error threshold within which 90% of tested positions are expected to fall. LE90 is useful for evaluating the accuracy and reliability of geospatial datasets such as orthophotos, satellite imagery, drone maps, LiDAR data, topographic maps, and GIS feature layers.
A lower LE90 value generally indicates higher positional accuracy, making it an important metric for quality control and data validation. GIS professionals use LE90 to compare mapping products, assess survey results, verify spatial datasets, and determine compliance with project accuracy specifications. It is particularly valuable in UAV mapping, aerial surveying, cadastral mapping, infrastructure development, and remote sensing projects, where precise horizontal positioning is critical. By understanding LE90, organizations can better evaluate geospatial data quality and select datasets suitable for accurate GIS analysis and decision-making.
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