RT Journal Article
T1 Mapping eucalyptus species using worldview 3 and random forest
A1 Alonso Martinez, Laura
A1 Picos Martín, Juan
A1 Armesto González, Julia
K1 3106 Ciencia Forestal
K1 3106.08 Silvicultura
K1 3311.02 Ingeniería de Control
AB Recent advances in remote sensing technologies have allowed the development of new innovative methodologies to obtain geospatial information about Eucalyptus genus distribution. This is an important task for forest stakeholders due to the high presence of this genus in forest plantations worldwide. Therefore, the next step in research should focus on exploring remote sensing possibilities to discern between Eucalytpus species. It would be an important step forward in forest management since different Eucalyptus species present different characteristics and properties that imply different management plans and industrial usages. This study accomplish the classification of E. nitens and E. globulus, the most common Eucalyptus species in the Iberian Peninsula. Worldview-3 images and random forest are used in a forest area placed in Galicia (Northwest of Spain). The differentiation of Eucalyptus species resulted in a producer’s accuracy of 84% and a users’ accuracy of 70% for E. nitens, while for E. globulus accuracy metrics did not reach 70%. The most important bands in the classification were the coastal blue and the blue, followed by the red related ones. The resulting unequal accuracy metrics might be caused by an imbalanced presence of both species in the selected study area. Therefore, further studies might be developed in different locations.
PB ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
SN 21949034
YR 2022
FD 2022-05-30
LK http://hdl.handle.net/11093/4568
UL http://hdl.handle.net/11093/4568
LA eng
NO ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B3-2022, 819-825 (2022)
DS Investigo
RD 09-sep-2024