Search: onr:"swepub:oai:DiVA.org:lnu-126400" >
Forest Biophysical ...
-
Aksoy, SametIstanbul Technical University, Türkiye
(author)
Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches
- Article/chapterEnglish2023
Publisher, publication year, extent ...
-
IEEE,2023
-
printrdacarrier
Numbers
-
LIBRIS-ID:oai:DiVA.org:lnu-126400
-
https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-126400URI
-
https://doi.org/10.1109/igarss52108.2023.10282899DOI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:kon swepub-publicationtype
Notes
-
This paper presents the first results of the ongoing development of new forest mapping methods for the Swedish national forest mapping case using Airborne Laser Scanning (ALS) data, utilizing the recent findings in machine learning (ML) and Artificial Intelligence (AI) techniques. We used Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) as ML models. In addition, Neural networks (NN) based approaches were utilized in this study. ALS derived features were used to estimate the stem volume (V), above-ground biomass (AGB), basal area (B), tree height (H), stem diameter (D), and forest stand age (A). XGBoost ML algorithm outperformed RF 1 % to 3 % in the R² metric. NN model performed similar to ML model, however it is superior in the estimation of V, AGB, and B parameters.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
-
Hasan Al Shwayyat, Shouq ZuhterMarmara University, Türkiye
(author)
-
Nur Topgül, ŞuleIstanbul Technical University, Türkiye
(author)
-
Sertel, ElifIstanbul Technical University, Türkiye
(author)
-
Ünsalan, CemMarmara University, Türkiye
(author)
-
Salo, JariUniversity of Helsinki, Finland
(author)
-
Holmström, AntonKatam Technologies, Sweden
(author)
-
Wallerman, JörgenSwedish University of Agricultural Sciences, Sweden
(author)
-
Nilsson, MatsSwedish University of Agricultural Sciences, Sweden
(author)
-
Fransson, Johan,Professor,1967-Linnéuniversitetet,Institutionen för skog och träteknik (SOT),DISA;DISA-WBT(Swepub:lnu)jofrad
(author)
-
Istanbul Technical University, TürkiyeMarmara University, Türkiye
(creator_code:org_t)
Related titles
-
In:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium: IEEE, s. 2661-2664979835032010797983503200919798350331745
Internet link
Find in a library
To the university's database
- By the author/editor
-
Aksoy, Samet
-
Hasan Al Shwayya ...
-
Nur Topgül, Şule
-
Sertel, Elif
-
Ünsalan, Cem
-
Salo, Jari
-
show more...
-
Holmström, Anton
-
Wallerman, Jörge ...
-
Nilsson, Mats
-
Fransson, Johan, ...
-
show less...
- About the subject
-
- AGRICULTURAL SCIENCES
-
AGRICULTURAL SCI ...
-
and Agriculture Fore ...
-
and Forest Science
- Articles in the publication
-
IGARSS 2023 - 20 ...
- By the university
-
Linnaeus University