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Improving Forest Inventory Plot Registration Precision Using Field And Lidar Data

Improving Forest Inventory Plot Registration Precision Using Field And Lidar Data PDF Author: Adam Erickson
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Languages : en
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Book Description
Precise registration of forest inventory plots is a prerequisite for optimal integration of field measurements with high-resolution remotely sensed data, including ALS and very high resolution (VHR) satellite imagery. Plot positional uncertainty propagates through statistical modeling procedures and, ultimately, reduces the utility of obtained wall-to-wall inventory maps. In most national forest inventory systems, plot registration is obtained using recreational-grade, low-precisionGPS devices. However, even industrial-grade devices yield low-precision coordinates in unfavorable conditions for GPS operation, including steep slopes, high canopy cover, and multilayered vegetation. We introduce a fully automated procedure relying on individual-tree height and position relative to the plot center, as recorded in co-located field and LiDAR data, to improve field data registration accuracy and precision. Results are furnished with an estimate of confidence in the optima obtained. Performance is evaluated using a sample of circular inventory plots stratified across classes of canopy cover and tree height in Oregon, USA.
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