Evaluation of Interferometric Synthetic Aperture Radar (InSAR) Techniques for Measuring Land Subsidence and Calculated Susidence Rates for the Escalante Valley, Utah, 1998 to 2006

Evaluation of Interferometric Synthetic Aperture Radar (InSAR) Techniques for Measuring Land Subsidence and Calculated Susidence Rates for the Escalante Valley, Utah, 1998 to 2006

Author: Richard R. Forster

Publisher:

Published: 2012

Total Pages:

ISBN-13: 9781557918567

DOWNLOAD EBOOK

Previous studies have shown the Escalante Valley, Utah, is subsiding due to groundwater withdrawal. The magnitude and spatial pattern of this cm/yr.-scale subsidence is mapped with satellite data from a synthetic aperture radar (SAR) using interferometric SAR (InSAR) processing techniques.


Investigation of land subsidence and earth fissures in Cedar Valley, Iron County, Utah

Investigation of land subsidence and earth fissures in Cedar Valley, Iron County, Utah

Author: Paul Inkenbrandt

Publisher: Utah Geological Survey

Published: 2014-03-12

Total Pages: 122

ISBN-13: 1557918910

DOWNLOAD EBOOK

This 116-page report presents the results of an investigation by the Utah Geological Survey of land subsidence and earth fissures in Cedar Valley, Iron County, Utah. Basin-fill sediments of the Cedar Valley Aquifer contain a high percentage of fine-grained material susceptible to compaction upon dewatering. Groundwater discharge in excess of recharge (groundwater mining) has lowered the potentiometric surface in Cedar Valley as much as 114 feet since 1939. Groundwater mining has caused permanent compaction of fine-grained sediments of the Cedar Valley aquifer, which has caused the land surface to subside, and a minimum of 8.3 miles of earth fissures to form. Recently acquired interferometric synthetic aperture radar imagery shows that land subsidence has affected approximately 100 miĀ² in Cedar Valley, but a lack of accurate historical benchmark elevation data over much of the valley prevents its detailed quantification. Continued groundwater mining and resultant subsidence will likely cause existing fissures to lengthen and new fissures to form which may eventually impact developed areas in Cedar Valley. This report also includes possible aquifer management options to help mitigate subsidence and fissure formation, and recommended guidelines for conducting subsidence-related hazard investigations prior to development.


Satellite Radar Interferometry

Satellite Radar Interferometry

Author: V. B. H. (Gini) Ketelaar

Publisher: Springer Science & Business Media

Published: 2009-04-07

Total Pages: 252

ISBN-13: 1402094280

DOWNLOAD EBOOK

This book investigates the applicability of satellite radar interferometry (InSAR) for deformation monitoring. The presented methodologies are demonstrated in an integrated way for the entire northern part of the Netherlands and a part of Germany.


The Use of Interferometric Spaceborne Radar and GIS to Measure Ground Subsidence in Peat Soils in Indonesia

The Use of Interferometric Spaceborne Radar and GIS to Measure Ground Subsidence in Peat Soils in Indonesia

Author: Bashar Dahdal

Publisher:

Published: 2011

Total Pages:

ISBN-13:

DOWNLOAD EBOOK

Interferometric synthetic aperture radar (InSAR) has been increasingly used to extract information about the earth"s surface by exploiting the phase difference between two complex radar signals. Some significant application fields that utilize InSAR techniques are digital elevation model (DEM) generation, land use classification and land subsidence. In this thesis, by using ERS-1/2 tandem SAR images pairs, the potential implementations of SAR interferometry in tropical peatland forests in Central Kalimantan, Indonesia are described. Coherence was found to be a good tool for rapid assessment for burned and deforested areas. The coherence of burned forest area was increased by 0.2; whilst the minimum coherence was found to be than 0.35. However, many critical factors affect the quality of InSAR data and limit its applications, such as methods of InSAR data processing. This study emphasizes the impact of different processing and phase unwrapping techniques on DEM accuracy. Analyses of InSAR DEM accuracy indicate that DEMs with relative errors of less than 3 m root mean square error (RMSE) are possible in some regions in the former Mega Rice Project (Ex-MRP) area and could meet many objectives of a global mapping mission. Applying adaptive filtering many times with a decreasing window size has a strong impact to reduce the number of residues, which can increase the phase unwrapping efficiency and the final DEM accuracy. Furthermore, the differential SAR Interferometry (DInSAR) was examined to see if it can detect peatland subsidence accurately from October 1997 to January 2000 using 4-pass and complex interferogram combination methods. The subsidence rate of 2 cm per year is considered to be the best possible prediction for subsidence in the project area and between 53 and 83 Mt of peat carbon was lost for the same period of the study. The contribution of the maximum subsidence to the emission of CO2 was estimated to be 52 tonnes per hectare per year. These results are not reliable enough for detailed planning purposes, but they provide a basis for further work by highlighting where methodological development is needed.