Microwave remote sensing of water in the soil - plant system
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2016
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Online Access: | http://hdl.handle.net/1721.1/101833 |
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author | Konings, Alexandra Georges |
author2 | Dara Entekhabi. |
author_facet | Dara Entekhabi. Konings, Alexandra Georges |
author_sort | Konings, Alexandra Georges |
collection | MIT |
description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015. |
first_indexed | 2024-09-23T11:55:01Z |
format | Thesis |
id | mit-1721.1/101833 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T11:55:01Z |
publishDate | 2016 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1018332019-04-11T09:56:01Z Microwave remote sensing of water in the soil - plant system Konings, Alexandra Georges Dara Entekhabi. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (pages 171-191). Remotely sensed measurements made by radars or radiometers in the low microwave frequency range are sensitive to soil moisture, soil roughness, and vegetation water content. Measurements made at multiple polarizations can be used to determine additional ancillary parameters alongside the primary variable of interest. However, if an attempt is made to retrieve too many parameters from too few measurements, the resulting retrievals will contain high levels of noise. In this thesis, I introduce a framework to determine an upper bound on the number of geophysical parameters that can be retrieved from remotely sensed measurements such as those made by microwave instruments. The principles behind this framework, as well as the framework itself, are then applied to derive two new ecohydrological variables: a) soil moisture profiles across much of the root-zone and b) vegetation optical depth, which is proportional to vegetation water content. For P-band observations, it is shown that soil moisture variations with depth must be accounted for to prevent large forward modeling - and thus retrieval - errors. A Tikhonov regularization approach is then introduced to allow retrieval of soil moisture in several profile layers by using statistics on the expected co-variation between soil moisture at different depths. The algorithm is tested using observations from the NASA Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Mission over the Harvard Forest in Western Massachusetts. Additionally, at L-band, a multi-temporal algorithm is introduced to determine vegetation optical depth (VOD) alongside soil moisture. The multi-temporal approach used reduces the chance of compensating errors between the two retrieved parameters (soil moisture and vegetation optical depth), caused by small amounts of measurement noise. In several dry tropical ecosystems, the resulting VOD dataset is shown to have opposite temporal behavior to coincident cross-polarized backscattering coefficients, an active microwave indicator of vegetation water content and scattering. This possibly shows dry season bud-break or enduring litter presence in these regions. Lastly, cross-polarized backscattering coefficients are used to test the hypothesis that vegetation water refilling slows down under drought even at the ecosystem scale. Evidence for this hypothesis is only found in the driest location tested. by Alexandra Georges Konings. Ph. D. 2016-03-25T13:38:54Z 2016-03-25T13:38:54Z 2015 2015 Thesis http://hdl.handle.net/1721.1/101833 941803758 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 191 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Civil and Environmental Engineering. Konings, Alexandra Georges Microwave remote sensing of water in the soil - plant system |
title | Microwave remote sensing of water in the soil - plant system |
title_full | Microwave remote sensing of water in the soil - plant system |
title_fullStr | Microwave remote sensing of water in the soil - plant system |
title_full_unstemmed | Microwave remote sensing of water in the soil - plant system |
title_short | Microwave remote sensing of water in the soil - plant system |
title_sort | microwave remote sensing of water in the soil plant system |
topic | Civil and Environmental Engineering. |
url | http://hdl.handle.net/1721.1/101833 |
work_keys_str_mv | AT koningsalexandrageorges microwaveremotesensingofwaterinthesoilplantsystem |