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

Author

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  • Bambang H. Trisasongko

    (Department of Soil Science and Land Resources, Bogor Agricultural University, Jalan Meranti, Bogor 16680, Indonesia
    Geospatial Information and Technologies for the Integrative and Intelligent Agriculture (GITIIA), Center for Regional System Analysis, Planning and Development (CRESTPENT/P4W), Bogor Agricultural University, Jalan Pajajaran, Bogor 16127, Indonesia)

  • Dyah R. Panuju

    (Department of Soil Science and Land Resources, Bogor Agricultural University, Jalan Meranti, Bogor 16680, Indonesia
    Geospatial Information and Technologies for the Integrative and Intelligent Agriculture (GITIIA), Center for Regional System Analysis, Planning and Development (CRESTPENT/P4W), Bogor Agricultural University, Jalan Pajajaran, Bogor 16127, Indonesia)

  • Amy L. Griffin

    (School of Science, RMIT University, Melbourne 3001, Australia)

  • David J. Paull

    (School of Science, UNSW Canberra, Campbell 2610, Australia)

Abstract

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.

Suggested Citation

  • Bambang H. Trisasongko & Dyah R. Panuju & Amy L. Griffin & David J. Paull, 2022. "Fully Polarimetric L-Band Synthetic Aperture Radar for the Estimation of Tree Girth as a Representative of Stand Productivity in Rubber Plantations," Geographies, MDPI, vol. 2(2), pages 1-13, March.
    • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:2:p:12-185:d:778218
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    References listed on IDEAS

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    1. Dieu Tien Bui & Biswajeet Pradhan & Owe Lofman & Inge Revhaug & Øystein Dick, 2013. "Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 707-730, March.
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