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

Autoren:
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)

Inhalt:
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.