Mapping soil moisture using low-frequency radio signals

Sufficient knowledge of near-surface soil moisture and sea surface salinity is essential for environmental studies. In recent years, efforts worldwide have focused on the use of imaging sensors onboard remote sensing satellites to capture such information. This thesis investigates if low-frequency r...

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Bibliographic Details
Main Author: Feng, Yi
Other Authors: Astin, Ivan ; Evans, Adrian
Published: University of Bath 2016
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687379
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6873792019-03-14T03:32:20ZMapping soil moisture using low-frequency radio signalsFeng, YiAstin, Ivan ; Evans, Adrian2016Sufficient knowledge of near-surface soil moisture and sea surface salinity is essential for environmental studies. In recent years, efforts worldwide have focused on the use of imaging sensors onboard remote sensing satellites to capture such information. This thesis investigates if low-frequency radio signals originating from ground-based stations are suitable for the remote sensing of soil moisture and sea surface salinity. It is found that the time delay variation of 100 kHz Loran-C pulses may be representative of electrical conductivity changes along the propagation path, which have a direct link with soil and sea surface properties. The validation studies using Loran-C signals recorded at Bath and Harwich clearly show that the proposed method is capable of producing an estimation of soil moisture and sea surface salinity. This will form the basis for further validation and studies.621.382University of Bathhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687379Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 621.382
spellingShingle 621.382
Feng, Yi
Mapping soil moisture using low-frequency radio signals
description Sufficient knowledge of near-surface soil moisture and sea surface salinity is essential for environmental studies. In recent years, efforts worldwide have focused on the use of imaging sensors onboard remote sensing satellites to capture such information. This thesis investigates if low-frequency radio signals originating from ground-based stations are suitable for the remote sensing of soil moisture and sea surface salinity. It is found that the time delay variation of 100 kHz Loran-C pulses may be representative of electrical conductivity changes along the propagation path, which have a direct link with soil and sea surface properties. The validation studies using Loran-C signals recorded at Bath and Harwich clearly show that the proposed method is capable of producing an estimation of soil moisture and sea surface salinity. This will form the basis for further validation and studies.
author2 Astin, Ivan ; Evans, Adrian
author_facet Astin, Ivan ; Evans, Adrian
Feng, Yi
author Feng, Yi
author_sort Feng, Yi
title Mapping soil moisture using low-frequency radio signals
title_short Mapping soil moisture using low-frequency radio signals
title_full Mapping soil moisture using low-frequency radio signals
title_fullStr Mapping soil moisture using low-frequency radio signals
title_full_unstemmed Mapping soil moisture using low-frequency radio signals
title_sort mapping soil moisture using low-frequency radio signals
publisher University of Bath
publishDate 2016
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687379
work_keys_str_mv AT fengyi mappingsoilmoistureusinglowfrequencyradiosignals
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