@inproceedings{362625fd3ef14d629a1caa8ce679dd8b,
title = "Estimation of forest biomass from L-band polarimetric decomposition components",
abstract = "Using an airborne L-band system the impact of increased spatial resolution and a fully polarized sensor on biomass retrieval was investigated. A water cloud type model was used to retrieve biomass from backscatter intensities and polarimetric target decomposition components. The analysis revealed similar biomass estimation errors (around 60%) when using backscatter intensity and polarimetric decomposition metrics. These results indicate that fully polarized L-band missions would not significantly improve the accuracy of biomass estimation using existing modelling approaches. New methods, such as polarimetric interferometry, have to be perfected and tested over a wide range of conditions to take advantage of their increased capabilities.",
keywords = "Biomass estimation, L-band SAR, polarimetric target decomposition",
author = "Tanase, {Mihai A.} and Rocco Panciera and Kim Lowell and Jorg Hacker and Walker, {Jeffrey P.}",
year = "2013",
doi = "10.1109/IGARSS.2013.6721318",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "949--952",
booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS",
address = "United States",
note = "2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}