Fully Polarimetric L-Band Synthetic Aperture Radar for the Estimation of Tree Girth as a Representative of Stand Productivity in Rubber Plantations

Autor:	Bambang H. Trisasongko, Dyah R. Panuju, Amy L. Griffin, David J. Paull
Rok vydání:	2022
Předmět:	circumference extreme gradient boosting girth polarimetric decomposition rubber regularized random forests
Zdroj:	Geographies; Volume 2; Issue 2; Pages: 173-185
ISSN:	2673-7086
DOI:	10.3390/geographies2020012
Popis:	This article explores a potential exploitation of fully polarimetric radar data for the management of rubber plantations, specifically for predicting tree circumference as a crucial information need for sustainable plantation management. Conventional backscatter coefficients along with Eigen-based and model-based decomposition features served as the predictors in models of tree girth using ten regression approaches. The findings suggest that backscatter coefficients and Eigen-based decomposition features yielded lower accuracy than model-based decomposition features. Model-based decompositions, especially the Singh decomposition, provided the best accuracies when they were coupled with guided regularized random forests regression. This research demonstrates that L-band SAR data can provide an accurate estimation of rubber plantation tree girth, with an RMSE of about 8 cm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1599e9f6cb90c1d72e30d4226578203f https://doi.org/10.3390/geographies2020012 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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