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Estimation of tree height from pollinSAR: the effects of vertical structure and temporal decorrelation

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Height values of trees are an important indicator of the health and viability of forest. At present, it is the main biopysical parameter observable from remote sensing images, in partiocular from Polarimetric Interferometric SAR (PolInSAR) data. It is important to have these values as accurately as possible. The accuracy of estimated tree height obtained by PolInSAR is affected by temporal decorrelation. Modelling this correlation is the focus of the current thesis.rnTo summarize. this dissertation improved the accuracy of tree hegiht estimation from airbone fully polarized InSAR data by carefully addressing temporal decorrelation. This is Potentially 0f use for future SAR satellite missions.rn

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

621.3678 NAF e

Penerbit

Netherlands : University of Twente., 2019

Deskripsi Fisik

xviii, 131 hlm. : illus. ; 24 cm.

Bahasa

Inggris

ISBN/ISSN

978-90-365-4730-7

Klasifikasi

621.3678

Tipe Isi

text

Tipe Media

other

Tipe Pembawa

unspecified

Edisi

-

Subjek

Penginderaan Jauh

Info Detail Spesifik

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Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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