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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 6, pp. 93-107

Biometric parameter determination of pine stands based on WorldView-3 imagery and UAV survey

S.V. Knyazeva 1 , A.D. Nikitina 1 , E.A. Gavrilyuk 1 , E.V. Tikhonova 1 , N.V. Koroleva 1 
1 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 27.10.2022
DOI: 10.21046/2070-7401-2022-19-6-93-107
The article presents the results of a study of the possibilities to model the main characteristics of stands (average values of height, age and diameter of tree trunks, as well as the density (number) of trees per 1 ha) based on the results of thematic processing of images from the highly detailed optical satellite system WorldView-3 and data obtained during aerial photography from an unmanned aerial vehicle (UAV), by the example of pine forests of the Curonian Spit National Park (Kaliningrad region). The best results of modeling by both random forests (RF) and multiple linear regression (LR) were obtained for the parameter average trunk diameter: the coefficient of determination R 2 ranges from 0.54 (for WorldView-3 data) to 0.88 (for UAV data), root mean square error (RMSE) ranges from 4.6 to 3 cm, respectively. The possibilities to determine the average age of stands are significantly worse: R 2 from 0.47 to 0.65 with RMSE from 18.5 to 24 years. The average height parameter is characterized by fairly good indicators of the relationship with the visual properties of satellite images (R 2 = 0.53, RMSE = 2.9 m), but the best modeling results are obtained using a digital terrain model (RMSE less than 2 m). For the parameter average tree density, the best result was achieved by the LR method (R 2 = 0.69 and RMSE = 600 pcs/ha). In general, it can be stated that an increase in spatial resolution when using UAV data (<10 cm) instead of ultra-high resolution satellite data (<1 m) gives the greatest performance gain for regression models of the average barrel diameter parameter. When modeling, on the basis of WorldView-3 satellite data, the decoding characteristics of the tree canopy determined by orthophotoplanes from UAVs, we obtained fairly moderate results: R 2 in the range from 0.54 (for the closeness of the tree canopy) to 0.68 (for the average crown area).
Keywords: biometric parameters, pine stand, satellite data, orthophotoplanes, regression models, detecting characteristics of the tree canopy
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