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Comparative Analysis of Jordan Transverse Mercator (JTM) and Cassini-Soldner Projection (CASS)


 
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1. Title Title of document Comparative Analysis of Jordan Transverse Mercator (JTM) and Cassini-Soldner Projection (CASS)
 
2. Creator Author's name, affiliation, country Ibrahem Ahmad Gharaibeh; School of Civil Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia
 
2. Creator Author's name, affiliation, country Mohd Sanusi S. Ahamad; School of Civil Engineering, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia
 
2. Creator Author's name, affiliation, country Bassam Saleh Malkawi; Faculty of Engineering, Isra University, Amman, Jordan
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.262)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) JTM; CASS; Jordan network; Jordanian Geodetic Control Network; transformation
 
4. Description Abstract

Jordan uses two coordinate systems; one based on the Palestine 1923 Datum, Cassini-Soldner projection (CASS), and a more recent one called “Jordan Transverse Mercator” (JTM). The JTM Projection System is based on the “International Hayford 1927” Datum. The Department of Land and Survey (DLS) is responsible for managing the cadastral maps of Jordan. Maps in the Cassini-Soldner projection cover 17% of Jordan and maps in the JTM projection cover the rest of the country. This study is devoted to compare CASS with JTM in Jordan. Adopting a reference frame was done in Jordan to support development of a spatial data infrastructure (SDI). On the other hand, depending on affine adjustment process using ArcMap, version 10.2.2, CASS projection was transformed to JTM. In conclusion, the transformation from CASS to JTM, according to the method used in this study, gave accurate results of approximately 10cm. This is a potent result that encourages the transfer of all maps from CASS to JTM.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-05-30
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/748
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 6 (Year 2017)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

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