Sensitivity study of radar backscatter from boreal forest using discrete scatterer model

Motofumi Arii; Takuma Watanabe; Hiroyoshi Yamada

doi:10.1109/IGARSS.2012.6351268

Sensitivity study of radar backscatter from boreal forest using discrete scatterer model

Motofumi Arii^*, Takuma Watanabe, Hiroyoshi Yamada

^*Corresponding author for this work

Intellectual Information Engineering

Research output: Contribution to conference › Paper › peer-review

6 Scopus citations

Abstract

Polarimetric SAR decomposition has been expected to be a potential candidate of a tool to measure physical parameters of vegetated fields. For this context, it is important to validate theoretical model quantitatively with well controlled experiment. In this paper, simple boreal forest was modeled based on Discrete scatterer model. Through sensitivity study by using the model, we propose several useful indexes to infer vegetation parameters such as soil moisture. This study will be validated by X-band indoor full polarimetric SAR in Niigata University.

Original language	English
Pages	1425-1428
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351268
State	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012/07/22 → 2012/07/27

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	2012/07/22 → 2012/07/27

Keywords

Polariemtric radar
soil moisture
vegetation randomness

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2012.6351268

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abstract = "Polarimetric SAR decomposition has been expected to be a potential candidate of a tool to measure physical parameters of vegetated fields. For this context, it is important to validate theoretical model quantitatively with well controlled experiment. In this paper, simple boreal forest was modeled based on Discrete scatterer model. Through sensitivity study by using the model, we propose several useful indexes to infer vegetation parameters such as soil moisture. This study will be validated by X-band indoor full polarimetric SAR in Niigata University.",

keywords = "Polariemtric radar, soil moisture, vegetation randomness",

author = "Motofumi Arii and Takuma Watanabe and Hiroyoshi Yamada",

year = "2012",

doi = "10.1109/IGARSS.2012.6351268",

language = "英語",

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AU - Arii, Motofumi

AU - Watanabe, Takuma

AU - Yamada, Hiroyoshi

PY - 2012

Y1 - 2012

N2 - Polarimetric SAR decomposition has been expected to be a potential candidate of a tool to measure physical parameters of vegetated fields. For this context, it is important to validate theoretical model quantitatively with well controlled experiment. In this paper, simple boreal forest was modeled based on Discrete scatterer model. Through sensitivity study by using the model, we propose several useful indexes to infer vegetation parameters such as soil moisture. This study will be validated by X-band indoor full polarimetric SAR in Niigata University.

AB - Polarimetric SAR decomposition has been expected to be a potential candidate of a tool to measure physical parameters of vegetated fields. For this context, it is important to validate theoretical model quantitatively with well controlled experiment. In this paper, simple boreal forest was modeled based on Discrete scatterer model. Through sensitivity study by using the model, we propose several useful indexes to infer vegetation parameters such as soil moisture. This study will be validated by X-band indoor full polarimetric SAR in Niigata University.

KW - Polariemtric radar

KW - soil moisture

KW - vegetation randomness

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DO - 10.1109/IGARSS.2012.6351268

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T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Sensitivity study of radar backscatter from boreal forest using discrete scatterer model

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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