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

Konferenz: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
29.03.2021 - 01.04.2021 in online

Tagungsband: EUSAR 2021

Seiten: 4Sprache: EnglischTyp: PDF

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)

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.