EUSAR 2021
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Estimation of Tree Height Using the ESPRIT Algorithm with ALOS/PALSAR Dual-pol InSAR Datasets

Conference: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
03/29/2021 - 04/01/2021 at online

Proceedings: EUSAR 2021

Pages: 4Language: englishTyp: PDF

Authors:
Liu, Dongyang (School of Resources and Environment, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, China & Center of Information Geoscience, UESTC, Chengdu, Sichuan, China)
Wang, Yong (Departement of Geography, Planning, and Environment, East Carolina University, Greenville, North Carolina, USA)

Abstract:
In tree height estimation using the ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) algorithm, quad-pol interferometric synthetic aperture radar (InSAR) datasets are required. Unfortunately, the quad­pol InSAR datasets are available at limited locations globally. With the data availability concern, the possibility to mimic the quad-pol InSAR datasets with dual-pol InSAR datasets that have a wide global coverage is studied. Tree heights at Duke Forest, North Carolina, USA, are estimated using a pair of dual-pol ALOS/PALSAR datasets coupled with mimicked VV data. The VV data are simulated with different HH and HV combinations. Among the combinations, replacing VV data with (0.5x(HH + HV)) offers the best estimation of tree heights, although the underestimation is noted. Nevertheless, the finding shows the potential to simulate missing co-pol (VV) data using available co-pol (HH) and cross-pol (HV) data. lt is especially significant if on-going studies can reduce the underestimation.