Mining activities often cause dramatic changes in landscapes, particularly in the dump sites and its surrounding environment. Land rehabilitation is the process of renovating damaged land to some extent of its original shape and aims to minimize and mitigate the environmental effects to allow new land uses. The success of different rehabilitation strategy and newly suggested urban and architecture modeling depends on the landscape characterization (topography of the study area and its derivatives such as slope and aspects, geological and geomorphologic nature of the study area). The aim of this study is to demonstrate the utility of different methodologies based on geomatics techniques (Photogrammetry, Remote Sensing, Global Positioning System (GPS) and three dimensional Geographic Information System (GIS)) for highlighting landscape characterization which is needed for rehabilitation of Mahis area. Photogrammetric adjustment procedures were used to create digital elevation model and Orth-Photo model for the study area using aerial images. Remote sensing data were used for land classification to provide vital information for rehabilitation planning. GPS field observations were used to build spatial network for the study area based on ground control point collections. Finally, realistic representation of the study area with three dimensional GIS was prepared for the study area considering ease and flexible updating of the geo-spatial database.
Cite this paper
Al-Ruzouq, R. and Rawashdeh, S. (2014) Geomatics for Rehabilitation of Mining Area in Mahis, Jordan. Journal of Geographic Information System
, 123-134. doi: 10.4236/jgis.2014.62014
 Wikipedia (2012) Land Rehabilitation. http://en.wikipedia.org/wiki/Land_rehabilitation
 Natural Resources Canada (2012) http://www.nrcan.gc.ca/home
 Ministry of Northern Development and Mines (2012) http://www.mndm.gov.on.ca/en
 Chen, L.C. and Lee, L.H. (1993) Rigourous Generation of Digital Orthophotos from SPOT Images. Photogrammetric Engineering and Remote Sensing, 59, 655-661.
 Habib, A.F., Ghanma, M.S., Al-Ruzouq, R.I. and Kim, E.M. (2004) 3-D Modelling of Historical Sites Using Low-Cost Digital Cameras. XXth Congress of ISPRS, 12-23 July 2004.
 Krishna, B.G., Amitabh, T.P., Srinivasan, P. and Srivastava, K. (2008) DEM Generation from High Resolution Multi-View Data Product. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 1099-1102.
 Wolf, P.R. and Dewitt, B.A. (2000) Elements of Photogrammetry with Applications in GIS. 3rd Edition.
 Hofmann-Wellenhof, B., Lichtenegger, H. and Collins, J. (1997) Global Positioning System Theory and Practice. 4th Edition.
 Sabins, F.F. (1988) Remote Sensing: Principles and Interpretation. 2nd Edition.
 Lerma, J.L., Ruiz, L.A. and Buchon, F. (2000) Application of Spectral and Textural Classifications to Recognise Materials and Damages on Historical Building Facades. International Archives of Photogrammetry and Remote Sensing, 33, 480-484.
 Drury, S.A. (1987) Image Interpretation in Geology. 2nd Edition, London. http://dx.doi.org/10.1007/978-94-010-9393-4
 Aronoff, S. (1989) Geographic Information System. WDL Publication, Ottaw, 19.
 Bell, F.G. (1993) Engineering Geology.
 Wikipedia (2013) Triangulated Irregular Network.http://en.wikipedia.org/wiki/Triangulated_irregular_network
 El-Hakim, S., Beraldin, A. and Picard, M. (2002) Detailed 3D Reconstruction of Monuments Using Multiple Techniques. ISPRS/CIPA International Workshop on Scanning for Cultural Heritage Recording, Corfu, 58-64.
 A Rehabilitation Plan for Abandoned Mine Reclamation. http://saint.psend.com/Appendix%20A.htm