Radar-based forest biomass estimation

Yrjö Rauste; Tuomas Häme; Jouni Pulliainen; Kaarina Heiska; Martti Hallikainen

doi:10.1080/01431169408954285

Radar-based forest biomass estimation

Yrjö Rauste
, Tuomas Häme
, Jouni Pulliainen
, Kaarina Heiska
, Martti Hallikainen

Helsinki University of Technology

Research output: Contribution to journal › Article › Scientific › peer-review

97 Citations (Scopus)

Abstract

The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data from the Freiburg test site of the MAESTRO I Campaign and scatterometer data from a test site in Finland. Using the Freiburg SAR data and polarizaiton synthesis, the most suitable polarization combination was obtained. In P band, the maximum correIalions, which were found ncar the linear H V polarization, were up to 0·75.

In the Finnish test site, a strong negative correlation “correlation coefficient -0·65” existed between the pine biomass and X-VV backscatter. When the combination of X and C bands “measured by the HUTSCAT seatterometer” was used, a correlation coefficient of 0·81 was obtained.

Original language	English
Pages (from-to)	2797-2808
Number of pages	12
Journal	International Journal of Remote Sensing
Volume	15
Issue number	14
DOIs	https://doi.org/10.1080/01431169408954285
Publication status	Published - 1994
MoE publication type	A1 Journal article-refereed

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10.1080/01431169408954285

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title = "Radar-based forest biomass estimation",

abstract = "The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data from the Freiburg test site of the MAESTRO I Campaign and scatterometer data from a test site in Finland. Using the Freiburg SAR data and polarizaiton synthesis, the most suitable polarization combination was obtained. In P band, the maximum correIalions, which were found ncar the linear H V polarization, were up to 0·75. In the Finnish test site, a strong negative correlation “correlation coefficient -0·65” existed between the pine biomass and X-VV backscatter. When the combination of X and C bands “measured by the HUTSCAT seatterometer” was used, a correlation coefficient of 0·81 was obtained.",

author = "Yrj{\"o} Rauste and Tuomas H{\"a}me and Jouni Pulliainen and Kaarina Heiska and Martti Hallikainen",

note = "Project code: AUT3518",

year = "1994",

doi = "10.1080/01431169408954285",

language = "English",

volume = "15",

pages = "2797--2808",

journal = "International Journal of Remote Sensing",

issn = "0143-1161",

publisher = "Taylor \& Francis",

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TY - JOUR

T1 - Radar-based forest biomass estimation

AU - Rauste, Yrjö

AU - Häme, Tuomas

AU - Pulliainen, Jouni

AU - Heiska, Kaarina

AU - Hallikainen, Martti

N1 - Project code: AUT3518

PY - 1994

Y1 - 1994

N2 - The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data from the Freiburg test site of the MAESTRO I Campaign and scatterometer data from a test site in Finland. Using the Freiburg SAR data and polarizaiton synthesis, the most suitable polarization combination was obtained. In P band, the maximum correIalions, which were found ncar the linear H V polarization, were up to 0·75. In the Finnish test site, a strong negative correlation “correlation coefficient -0·65” existed between the pine biomass and X-VV backscatter. When the combination of X and C bands “measured by the HUTSCAT seatterometer” was used, a correlation coefficient of 0·81 was obtained.

AB - The potential of radar-based tree biomass estimation has been studied using polarimetric SAR data from the Freiburg test site of the MAESTRO I Campaign and scatterometer data from a test site in Finland. Using the Freiburg SAR data and polarizaiton synthesis, the most suitable polarization combination was obtained. In P band, the maximum correIalions, which were found ncar the linear H V polarization, were up to 0·75. In the Finnish test site, a strong negative correlation “correlation coefficient -0·65” existed between the pine biomass and X-VV backscatter. When the combination of X and C bands “measured by the HUTSCAT seatterometer” was used, a correlation coefficient of 0·81 was obtained.

U2 - 10.1080/01431169408954285

DO - 10.1080/01431169408954285

M3 - Article

SN - 0143-1161

VL - 15

SP - 2797

EP - 2808

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

IS - 14

ER -

Radar-based forest biomass estimation

Abstract

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