E-Book Overview
This book covers a unique combination of scientific research and the practical demand for subsidence monitoring techniques focused on the satellite radar interferometry technique (InSAR). It covers the topic in a generic way: both precision and reliability of InSAR as a measurement technique, and the estimation of earth surface deformation in the presence of multiple deformation causes are addressed.
It provides a review of existing subsidence estimation methodologies using geodetic measurements, explains Persistent Scatterer InSAR (PSI), and proposes a new method for reliability assessment: multi-track datum connection. The presented methodologies are demonstrated for the entire northern part of the Netherlands and a part of Germany (covering ~15.000 km<SUP>2), using multi-track SAR observations from ESA’s ERS and Envisat satellites.
The capability of PSI for wide-scale monitoring of subsidence rates of several millimeters per year in a rural area (which implies a low PS density) is shown. Additionally, methodologies for a better discrimination of the deformation signal of interest, subsidence due to hydrocarbon production, are assessed.
Essential for operational use, the performance of PSI with respect to the leveling technique is quantified. It is shown that the high spatial and temporal observation density of PSI moreover contributes to the understanding of subsurface processes. For example, subsidence due to gas extraction and subsequent uplift due to underground gas storage is clearly detected.
E-Book Content
Satellite Radar Interferometry Subsidence Monitoring Techniques Remote Sensing and Digital Image Processing VOLUME 14 Series Editor: EARSeL Series Editor: Freek D. van der Meer André Marçal Department of Earth Systems Analysis, International Institute for Geo-Information Science and Earth Observation (ITC), Enchede, The Netherlands & Department of Physical Geography, Faculty of Geosciences, Utrecht University, The Netherlands Department of Applied Mathematics, Faculty of Sciences, University of Porto, Porto, Portugal Editorial Advisory Board: EARSeL Editorial Advisory Board: Michael Abrams Mario A. Gomarasca NASA Jet Propulsion Laboratory, Pasadena, CA, U.S.A. CNR - IREA Milan, Italy Paul Curran University of Bournemouth, U.K. Arnold Dekker CSIRO, Land and Water Division, Canberra, Australia Steven M. de Jong Department of Applied Mathematics, Faculty of Geosciences, Utrecht University, The Netherlands Michael Schaepman Department of Geography, University of Zurich, Switzerland Martti Hallikainen Helsinki University of Technology, Finland Håkan Olsson Swedish University of Agricultural Sciences, Sweden Eberhard Parlow University of Basel, Switzerland Rainer Reuter University of Oldenburg, Germany For other volumes published in this series go to www.springer.com/series/6477 Satellite Radar Interferometry Subsidence Monitoring Techniques By V.B.H. (Gini) Ketelaar Delft University of Technology, The Netherlands V.B.H. (Gini) Ketelaar Nederlandse Aardolie Maatschappij, Assen, The Netherlands Cover figure: Fig. 2.6 from this book. Responsible Series Editor: Freek D. van der Meer Remote Sensing and Digital Image Processing ISBN 978-1-4020-9427-9 ISSN 1567-3200 e-ISBN 978-1-4020-9428-6 Library of Congress Control Number: 2008944289 © 2009 Springer Science + Business Media B.V. No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any mat