Academic Journal

Mapping eucalyptus species using worldview 3 and random forest

التفاصيل البيبلوغرافية
العنوان: Mapping eucalyptus species using worldview 3 and random forest
المؤلفون: Alonso Martinez, Laura, Picos Martín, Juan, Armesto González, Julia
بيانات النشر: ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences
Enxeñaría dos recursos naturais e medio ambiente
Enxeñería Agroforestal
Xestión Segura e Sostible de Recursos Minerais
سنة النشر: 2022
المجموعة: University of Vigo: Investigo (Repositorio Institucional de la Universidade de Vigo)
مصطلحات موضوعية: 3106 Ciencia Forestal, 3106.08 Silvicultura, 3311.02 Ingeniería de Control
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 21949034
Relation: ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B3-2022, 819-825 (2022); http://hdl.handle.net/11093/4568; https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/819/2022/
DOI: 10.5194/isprs-archives-XLIII-B3-2022-819-2022
الاتاحة: http://hdl.handle.net/11093/4568
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-819-2022
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2022/819/2022/
Rights: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/ ; openAccess
رقم الانضمام: edsbas.8D7987EE
قاعدة البيانات: BASE
الوصف
تدمد:21949034
DOI:10.5194/isprs-archives-XLIII-B3-2022-819-2022