Derivation of groundwater flow-paths based on semi-automatic extraction of lineaments from remote sensing data

Abstract. In this paper we present a semi-automatic method to infer groundwater flow-paths based on the extraction of lineaments from digital elevation models. This method is especially adequate in remote and inaccessible areas where in-situ data are scarce. The combined method of linear filtering and object-based classification provides a lineament map with a high degree of accuracy. Subsequently, lineaments are differentiated into geological and morphological lineaments using auxiliary information and finally evaluated in terms of hydro-geological significance. Using the example of the western catchment of the Dead Sea (Israel/Palestine), the orientation and location of the differentiated lineaments are compared to characteristics of known structural features. We demonstrate that a strong correlation between lineaments and structural features exists. Using Euclidean distances between lineaments and wells provides an assessment criterion to evaluate the hydraulic significance of detected lineaments. Based on this analysis, we suggest that the statistical analysis of lineaments allows a delineation of flow-paths and thus significant information on groundwater movements. To validate the flow-paths we compare them to existing results of groundwater models that are based on well data.

[1]  N. Koronovsky,et al.  Lineaments in the central part of the Moscow Syneclise and their relations to faults in the basement , 2007 .

[2]  Constanze E. Weyhenmeyer,et al.  New isotopic evidence for the origin of groundwater from the Nubian Sandstone Aquifer in the Negev, Israel , 2007 .

[3]  Richard Gloaguen,et al.  Automatic extraction of faults and fractal analysis from remote sensing data , 2007 .

[4]  P. Sander,et al.  Lineaments in groundwater exploration: a review of applications and limitations , 2007 .

[5]  D. Donoho,et al.  Does median filtering truly preserve edges better than linear filtering , 2006, math/0612422.

[6]  Giles M. Foody,et al.  Training set size requirements for the classification of a specific class , 2006 .

[7]  P. M. van Dijk,et al.  Extraction of morphotectonic features from DEMs: Development and applications for study areas in Hungary and NW Greece , 2005 .

[8]  L. Q. Hung,et al.  Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery. Case study: Suoimuoi tropical karst catchment, Vietnam , 2005, SPIE Remote Sensing.

[9]  H. Gvirtzman,et al.  Groundwater flow along and across structural folding: an example from the Judean Desert, Israel , 2005 .

[10]  Gyozo Jordan,et al.  Application of wavelet analysis to the study of spatial pattern of morphotectonic lineaments in digital terrain models. A case study , 2005 .

[11]  Lindi J. Quackenbush.  A Review of Techniques for Extracting Linear Features from Imagery , 2004 .

[12]  Ray Bert,et al.  Book Review: Computer Processing of Remotely-Sensed Images: An Introduction, Third Edition , by Paul M. Mather. Chichester, United Kingdom: John Wiley & Sons Ltd., 2004 , 2004 .

[13]  T. Oguchi,et al.  Identification of an active fault in the Japanese Alps from DEM-based hill shading , 2003 .

[14]  John Starkey,et al.  PhotoLin: a program to identify and analyze linear structures in aerial photographs, satellite images and maps , 2001 .

[15]  David L. Rudolph,et al.  The influence of Cenozoic tectonics on the groundwater-production capacity of fractured zones: a case study in Sao Paulo, Brazil , 2001 .

[16]  Y. Enzel,et al.  Late Pliocene and Pleistocene reversal of drainage systems in northern Israel: tectonic implications , 1999 .

[17]  James R. Carr,et al.  Relationship Between Lineaments and Ground Water Occurrence in Western Botswana , 1999 .

[18]  Simon Cox,et al.  Optimising the application of the hough transform for automatic feature extraction from geoscientific images , 1998 .

[19]  Hanan Ginat,et al.  Translocated Plio-Pleistocene drainage systems along the Arava fault of the Dead Sea transform , 1998 .

[20]  Timothy B. Minor,et al.  Ground‐Water Exploration Based on Lineament Analysis and Reproducibility Tests , 1997 .

[21]  Zvi Garfunkel,et al.  The structure of the Dead Sea basin , 1996 .

[22]  K. Koike,et al.  Lineament analysis of satellite images using a segment tracing algorithm (STA) , 1995 .

[23]  S. Salvi.  Analysis and interpretation of Landsat synthetic stereo pair for the detection of active fault zones in the Abruzzi region (central Italy) , 1995 .

[24]  U. Kafri,et al.  Reversal of the palaeodrainage system in the Sea of Galilee area as an indicator of the formation timing of the Dead Sea Rift valley base level in northern Israel , 1994 .

[25]  K. Morris,et al.  USING KNOWLEDGE-BASE RULES TO MAP THE THREE-DIMENSIONAL NATURE OF GEOLOGICAL FEATURES , 1991 .

[26]  F. Hirsch,et al.  Late Cretaceous evolution of the Judean Mountains as indicated by ostracodes , 1989 .

[27]  J. Kronfeld,et al.  Epigenetic dolomitization and iron mineralization along faults and their possible relation to the paleohydrology of southern Israel , 1988 .

[28]  A. Flexer,et al.  The senonian succession in israel—Lithostratigraphy, biostratigraphy and sea level changes , 1984 .

[29]  Y. Eyal,et al.  Tectonic analysis of the Dead Sea Rift Region since the Late-Cretaceous based on mesostructures , 1983 .

[30]  Pat S. Chavez,et al.  An automatic pptimum kernel-size selection technique for edge enhancement , 1982 .

[31]  Thomas S. Huang,et al.  The effect of median filtering on edge location estimation , 1981 .

[32]  D. O'leary,et al.  Lineament, linear, lineation: Some proposed new standards for old terms , 1976 .

[33]  M. H. Diskin.  FACTORS AFFECTING VARIATIONS OF MEAN ANNUAL RAINFALL IN ISRAEL , 1970 .

[34]  I. Zak,et al.  Age and Rate of the Sinistral Movement along the Dead Sea Rift , 1968, Nature.

[35]  A. Arad.  HYDROGEOCHEMISTRY OF GROUNDWATER IN CENTRAL ISRAEL , 1966 .

[36]  M. T. Barata,et al.  Manual and Automatic Lineament Mapping: Comparing Results , 2008 .

[37]  Richard Gloaguen,et al.  A procedure for automatic object-based classification , 2008 .

[38]  A. Meijerink,et al.  Remote sensing applications to groundwater , 2007 .

[39]  O. Mavrantza,et al.  1 OBJECT-ORIENTED IMAGE ANALYSIS FOR THE IDENTIFICATION OF GEOLOGIC LINEAMENTS , 2006 .

[40]  H. Henriksen.  Fracture lineaments and their surroundings with respect to groundwater flow in the bedrock of Sunnfjord, Western Norway , 2006 .

[41]  M. Abarca.  LINEAMENT EXTRACTION FROM DIGITAL TERRAIN MODELS : CASE STUDY SAN ANTONIO DEL SUR AREA , SOUTH-EASTERN CUBA , 2006 .

[42]  D. Argialas,et al.  COMPARISON OF EDGE DETECTION AND HOUGH TRANSFORM TECHNIQUES FOR THE EXTRACTION OF GEOLOGIC FEATURES , 2004 .

[43]  H. Duzgun,et al.  Discontinuity Mapping with Automatic Lineament Extraction from High Resolution Satellite Imagery , 2004 .

[44]  J. Dinger,et al.  REMOTE SENSING AND FIELD TECHNIQUES TO LOCATE FRACTURE ZONES FOR HIGH-YIELD WATER WELLS IN THE APPALACHIAN PLATEAU, KENTUCKY , 2002 .

[45]  Z. Ben‐Avraham,et al.  Basins along the Dead Sea Transform , 2001 .

[46]  David Wladis,et al.  Automatic Lineament Detection Using Digital Elevation Models with Second Derivative Filters , 1999 .

[47]  G. Friedman.  Thermal anomalies associated with forced and free groundwater convection in the Dead Sea rift valley : Discussion and reply Discussion , 1999 .

[48]  Vedat Toprak,et al.  Filtering of satellite images in geological lineament analyses: An application to a fault zone in Central Turkey , 1998 .

[49]  Amnon Meisels,et al.  Automatic Extraction and Evaluation of Geological Linear Features from Digital Remote Sensing Data Using a Hough Transform , 1996 .

[50]  G. Philip.  Landsat Thematic Mapper data analysis for Quaternary tectonics in parts of the Doon valley, NW Himalaya, India , 1996 .

[51]  William Herbert Hobbs,et al.  Lineaments of the Atlantic Border region , 1904 .