Vegetation canopy height retrieval using L1 and L5 airborne GNSS-R
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Cita com:
hdl:2117/366262
Tipus de documentArticle
Data publicació2021-11-29
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Vegetation canopy height (CH) is one of the important remote-sensing parameters related to forests’ structure, and it can be related to the biomass and the carbon stock. Global navigation satellite system-reflectometry (GNSS-R) has proved capable to retrieve vegetation information at a moderate resolution from space (20–65 km) using L1 C/A signals. In this study, data retrieved by the airborne microwave interferometric reflectometer (MIR) GNSS-R instrument at L1 and L5 are compared to the Global Forest CH product, with a spatial resolution of 30 m. This work analyzes the waveforms (WFs) measured at both bands, and the correlation of the waveform width and the reflectivity values to the CH product. A neural network algorithm is used for the retrieval, showing that the combination of the reflectivity and the waveform width allows to estimate the CH information at a very high resolution, with a root-mean-square error (RMSE) of 4.25 and 4.07 m at L1 and L5, respectively, which is an error about 14% of the actual CH.
CitacióMuñoz, F. [et al.]. Vegetation canopy height retrieval using L1 and L5 airborne GNSS-R. "IEEE geoscience and remote sensing letters", 29 Novembre 2021, vol. 19, núm. article 2502405, p. 1-5.
ISSN1558-0571
Versió de l'editorhttps://ieeexplore.ieee.org/document/9627895
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vegetation.pdf | 1,172Mb | Visualitza/Obre |