Journal
IFOREST-BIOGEOSCIENCES AND FORESTRY
Volume 12, Issue -, Pages 435-441Publisher
SISEF-SOC ITALIANA SELVICOLTURA ECOL FORESTALE
DOI: 10.3832/ifor2986-012
Keywords
UAV; GNSS; Orthomosaic; Accuracy; Precision; Forest
Categories
Funding
- National Centre for Research and Development [BIOSTRATEG1/267755/4/NC BR/2015]
- REMBIOFOR project titled Remote sensing estimation of tree biomass and coal resource in forests
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To obtain precise cartometric measurements of forests is always a challenge and high-resolution data from Unmanned Aerial Vehicle (UAV) is currently the quickest method. Generation of a fine quality orthomosaic of the acquired image series is a pre-requisite for full exploitation of such data. This study examines six of the most frequently used photogrammetric software for popular and inexpensive UAV systems. It is assumed that ground control points (GCPs) are not required. The average Root Mean Square Error (RMSE) for raw orthophoto was 1.24 m and around 0.2 m precision for both X and Y axes. Additionally, the accuracy of UAV internal GNSS receiver was checked on reference points which slightly exceeds 2 m RMSE. The range of accuracy and precision of orthomosaic are provided as a valuable reference for the use of low-cost UAV in forest inventory.
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