Skip to main content

Advertisement

Log in

A web-based GIS enabled soil information system for the United Arab Emirates and its applicability in agricultural land use planning

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

A comprehensive soil information system was identified as essential for land use planning decisions, especially for sustainable agriculture and natural resources conservation in the United Arab Emirates (UAE). The lack of such a system limits the capacity of government, businesses, policy makers, and land users to make sustainable land use planning decisions, and considerably hampers land degradation assessments and adaptive sustainable land management interventions. This paper presents a solution developed to disseminate value-added soil information gathered from soil surveys, enabling decision makers, policy formulators, land use planners, and agriculturalists to efficiently manage soil resources. The UAE Soil Information System (UAESIS, www.uaesis.ae) is a web-based repository of soil data with geographical representation and provides descriptive, quantitative, and geographical data in a simple interface. The system has a number of components including a geospatial soil database, a field operating system, and a highly intuitive web-based secure application. This paper highlights the structure, capabilities, functions, benefits, applications, and uses of the UAESIS. Two case studies demonstrate the application of the system to evaluation of land suitable for date palm production and the growth of salt tolerant crops are presented

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Abdelfattah MA (2013a) Pedogenesis, land management and soil classification in hyper-arid environments: results and implications from a case study in the United Arab Emirates. Soil Use Manag 29:279–294. doi:10.1111/sum.12031

    Article  Google Scholar 

  • Abdelfattah MA (2013b) Integrated suitability assessment: a way forward for land use planning and sustainable development in Abu Dhabi, United Arab Emirates. Arid Land Res Manag 27(1):41–64. doi:10.1080/15324982.2012.722579

    Article  Google Scholar 

  • Abdelfattah MA, Pain C (2012) Unifying regional soil maps at different scales to generate a national soil map for the United Arab Emirates applying digital soil mapping techniques. J Maps 8(4):392–405. doi:10.1080/17445647.2012.746744

    Article  Google Scholar 

  • Abdelfattah MA, Shahid SA (2007) A comparative characterization and classification of soils in Abu Dhabi coastal area in relation to arid and semi-arid conditions using USDA and FAO soil classification systems. Arid Land Res Manag 21:245–271. doi:10.1080/15324980701426314

    Article  Google Scholar 

  • Abdel Kawy WAM, Belal A (2013) Use of satellite data and GIS for soil mapping and monitoring soil productivity of the cultivated land in El-Fayoum depression, Egypt. Arab J Geosci 6:723–732. doi:10.1007/s12517-011-0371-y

    Article  Google Scholar 

  • Abdel Kawy WAM, Abou El-Magd IH (2013) Use of satellite data and GIS for assessing the agricultural potentiality of the soils South Farafra Oasis, Western Desert, Egypt. Arab J Geosci 6:2299–2311. doi:10.1007/s12517-012-0518-5

    Article  Google Scholar 

  • ACECSS (1987) Agriculture Canada Expert Committee on Soil Survey. Publication No. 1646, Canadian Government Publishing Centre, Communication Canada, Ottawa, Canada, K1A 0S9

  • ASRIS (2008) Australian Soil Resource Information System. http://www.asris.csiro.au/index_ie.html

  • Awawdeh M, Obeidat M, Al-Mohammad M, Al-Qudah K, Jaradat R (2013) Integrated GIS and remote sensing for mapping groundwater potentiality in the Tulul al Ashaqif Northeast Jordan. Arab J Geosci. doi:10.1007/s12517-013-0964-8

    Google Scholar 

  • Baker A, Fitzpatrick R (2011) A web-based approach to improve collation and communication of complex soil-landscape data with examples relating to agricultural production, environmental degradation and mineral exploration. Soil Use Manag 27:550–559. doi:10.1111/j.1475-2743.2011.00370.x

    Article  Google Scholar 

  • Beaudette DE, O’Geen AT (2009) Soil-Web: an online soil survey for California, Arizona, and Nevada. Comput Geosci 35:2119–2128. doi:10.1016/j.cageo.2008.10.016

    Article  Google Scholar 

  • Benda LE, Poff NL, Tague C, Palmer MA, Pizzuto J, Cooper S, Stanley E, Molglen G (2002) How to avoid train wrecks when using science in environmental problem solving. Bioscience 52:1127–1136

    Article  Google Scholar 

  • Chang YS, Park HD (2004) Development of a web-based geographic information system for the management of borehole and geological data. Comput Geosci 30:887–897. doi:10.1016/j.cageo.2004.07.006

    Article  Google Scholar 

  • Chen Y, Yu J, Khan S (2010) Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environ Model Softw 25(12):1582–1591

    Article  Google Scholar 

  • Chen Y, Paydar Z (2012) Evaluation of potential irrigation expansion using a spatial fuzzy multi-criteria decision framework. Environ Model Softw 38:147–157. doi:10.1016/j.envsoft.2012.05.010

    Article  Google Scholar 

  • Chen Y, Yu J, Khan S (2013) The spatial framework for weight sensitivity analysis in AHP-based multi-criteria decision making. Environ Model Softw. doi:10.1016/j.envsoft.2013.06.010

    Google Scholar 

  • Cribb J, Hartomo TS (2002) Sharing knowledge: a guide to effective science communication. CSIRO Publishing, Collingwood

    Google Scholar 

  • Darwish KhM, Abdel Kawy WA (2013) Land suitability decision support for assessing land use changes in areas west of Nile Delta, Egypt. Arab J Geosci. doi: 10.1007/s12517-012-0757-5

  • Dawoud MA (2013) The development of integrated water resource information management system in arid regions. Arab J Geosci 6(5):1601–1612. doi:10.1007/s12517-011-0449-6

    Article  Google Scholar 

  • Dubai Municipality (2005) Satellite imagery and thematic mapping project for Dubai Emirate. Final report including soil map. Dubai Municipality, UAE

    Google Scholar 

  • EAD (2009) Soil Survey of Abu Dhabi Emirate. A set of 5 volumes and maps. Environment Agency-Abu Dhabi, Abu Dhabi, UAE

    Google Scholar 

  • EAD (2012) Soil Survey of the Northern Emirates. A set of 3 volumes and maps. Environment Agency-Abu Dhabi, Abu Dhabi, UAE

    Google Scholar 

  • El-Juhany LI (2010) Degradation of date palm trees and date production in Arab countries: causes and potential rehabilitation. Aust J Basic Appl Sci 4(8):3998–4010

    Google Scholar 

  • European Soil Bureau and FAO (2000) The European Soil Information System. Proceedings of a Technical Consultation. Rome, Italy, 2–3 September 1999. eusoils.jrc.ec.europa.eu/esdb_archive/eusoils_docs/Conf/EUSIS.pdf

  • FAO/IIASA/ISRIC/ISS-CAS/JRC (2008) FAO, Rome, Italy and IIASA, Luxemburg, Austria

  • Gray JM, Humphreys GS, Deckers JA (2009) Relationships in soil distribution as revealed by a global soil database. Geoderma 150:309–323. doi:10.1016/j.geoderma.2009.02.012

    Article  Google Scholar 

  • Hamadouche MA, Mederbal K, Kouri L, Regagba Z, Fekir Y, Anteur D (2013) GIS-based multicriteria analysis: an approach to select priority areas for preservation in the Ahaggar National Park. Algeria Arab J Geosci. doi:10.1007/s12517-012-0817-x

    Google Scholar 

  • Ibrahimi MK, Miyazaki T, Nishimura T, Imoto H (2013) Contribution of shallow groundwater rapid fluctuation to soil salinization under arid and semiarid climate. Arab J Geosci. doi:10.1007/s12517-013-1084-1

    Google Scholar 

  • ISRIC (2011) World Data Centre for Soils. www.isric.org/content/world-data-centre-soils

  • ISRIC/UNEP/FAO/IUSS (2009) FAO Land and Water Development Division. www.fao.org/AG/aGL/agll/soter.stm

  • Johnston R, Barry S, Bleys E, Bui EN, Moran C, Simon D, Carlile P, McKenzie N, Henderson B, Chapman G, Imhoff M, Maschmedt D, Howe D, Grose C, Schoknecht N, Powell B, Grundy M (2003) ASRIS: the database. Aust J Soil Res 41:1021–1036. doi:10.1071/SR02033

    Article  Google Scholar 

  • Kingston R, Carver S, Evans A, Turton I (2000) Web-based public participation geographical information systems: an aid to local environmental decision-making. Comput Environ Urban Syst 24(2):109–125. doi:10.1016/S0198-9715(99)00049-6

    Article  Google Scholar 

  • Kraak MJ, Brown A (2001) Web cartography: developments and prospects. Taylor & Francis, London, 213 pp

    Google Scholar 

  • Maas EV (1996) Crop salt tolerance. Chapter 13: In: KK Tanji (Eds). Agricultural salinity assessment and management’. ASCE Manuals and Reports on Engineering Practice No. 71, pp. 262–304

  • McBratney AB, Odeh IOA, Bishop TFA, Dunbar MS, Shatar TM (2000) An overview of pedometric techniques for use in soil survey. Geoderma 97:293–327. doi:10.1016/S0016-7061(00)00043-4

    Article  Google Scholar 

  • McBratney AB, Mendonca Santos ML, Minasny B (2003) On digital soil mapping. Geoderma 117:3–52. doi:10.1016/S0016-7061(03)00223-4

    Article  Google Scholar 

  • McKenzie NJ, Austin MP (1993) A quantitative Australian approach to medium scale surveys based on soil stratigraphy and environmental correlation. Geoderma 57:329–355. doi:10.1016/0016-7061(93)90049-Q

    Article  Google Scholar 

  • McKenzie NJ, Ryan PJ (1999) Spatial prediction of soil properties using environmental correlation. Geoderma 89:67–94. doi:10.1016/S0016-7061(98)00137-2

    Article  Google Scholar 

  • Mishra A, Dubey D (2013) A comparative study of different software development life cycle models in different scenarios. Int J Adv Res Comput Sci Manag Stud 1(5):64–69

    Google Scholar 

  • Mohamed ES, Belal A, Saleh A (2013) Assessment of land degradation east of the Nile Delta, Egypt using remote sensing and GIS techniques. Arab J Geosci 6:2843–2853. doi:10.1007/s12517-012-0553-2

    Article  Google Scholar 

  • NASIS (2008) Web Soil Survey. websoilsurvey.nrcs.usda.gov/

  • Plewe P (1997) GIS online: information retrieval, mapping, and the internet. OnWord Press, Santa Fe, New Mexico, 311 pp

    Google Scholar 

  • Postel S (1999) Pillar of sand: can the irrigation miracle last? W.W. Norton and Co., New York, USA

    Google Scholar 

  • Raafat H (2006) Climate. In: physical geography sector paper, AGEDI Initiative. Environment Agency - Abu Dhabi, UAE. pp. 72–92

  • Richard D (2000) Development of an Internet atlas of Switzerland. Comput Geosci 26(1):45–50. doi:10.1016/S0098-3004(99)00032-1

    Article  Google Scholar 

  • Rossiter DG (2004) Digital soil resource inventories: status and prospects. Soil Use Manag 20(3):296–301. doi:10.1111/j.1475-2743.2004.tb00372.x

    Article  Google Scholar 

  • Ryan PJ, McKenzie NJ, O’Connell DO, Loughhead AN, Leppert PM, Jacquier D, Ashton L (2000) Integrating forest soils information across scales: spatial prediction of soil properties under Australian forests. For Ecol Manag 138:139–157. doi:10.1016/S0378-1127(00)00393-5

    Article  Google Scholar 

  • Safari Y, Boroujeni IE, Kamali A, Salehi MH, Bodaghabadi MB (2013) Mapping of the soil texture using geostatistical method (a case study of the Shahrekord plain, central Iran). Arab J Geosci 6:3331–3339. doi:10.1007/s12517-012-0559-9

    Article  Google Scholar 

  • Salah A, Van Ranst E, Hisham E (2001) Land suitability assessment for date palm cultivation in the Eastern Nile Delta, Egypt using an Automated Land Evaluation System and GIS. Proceedings of the Second International Conference on Date Palms, March 25–27. Al-Ain, UAE. Pp. 800–820

  • Saleh AM, Belal AB, Arafat SM (2013) Identification and mapping of some soil types using field spectrometry and spectral mixture analyses: a case study of North Sinai, Egypt. Arab J Geosci 6:1799–1806. doi:10.1007/s12517-011-0501-6

    Article  Google Scholar 

  • Shahid SA, Abdelfattah MA (2008) Soils of Abu Dhabi Emirate. In: Perry RJ (ed) Terrestrial environment of Abu Dhabi Emirate. Environment Agency – Abu Dhabi, Abu Dhabi, UAE, pp 71–91

    Google Scholar 

  • Shahid SA, Taha FK, Ismail S, Al Dakheel A, Abdelfattah MA (2011) Turning adversity into an advantage for food security through improving soil quality and providing production systems for marginal saline lands: ICBA perspectives and approaches. In: Behnassi M, Shahid SA, D’Silva J (eds) Sustainable agriculture development, recent approaches in resources management and environmentally-balanced production enhancement. Springer, New York, pp 43–67

    Google Scholar 

  • Shahid SA (2013) Developments in soil salinity assessment, modeling, mapping, and monitoring from regional to submicroscopic scales. In: Shahid SA, Abdelfattah MA, Taha FK (eds) Developments in soil salinity assessment and reclamation: innovative thinking and use of marginal soil and water resources in irrigated agriculture. Springer, New York, pp 3–44

    Chapter  Google Scholar 

  • Skidmore AK, Varekamp C, Wilson L, Knowles E, Delaney J (1997) Remote sensing of soils in a eucalypt forest environment. Int J Remote Sens 18:39–56. doi:10.1080/014311697219268

    Article  Google Scholar 

  • Soil Survey Staff (2003) Keys to soil taxonomy, 9th edn. USDA-Natural Resources Conservation Service, Government Printing Office, Washington, DC

    Google Scholar 

  • Soil Survey Staff (2002) Field book for describing and sampling soils. USDA-NRCS. Government Printing Office, Washington, DC

    Google Scholar 

  • Soil Survey Staff (2010) Keys to soil taxonomy, 11th edn. USDA–Natural Resources Conservation Service. Government Printing Office, Washington, DC

    Google Scholar 

  • Tang W, Selwood J (2003) Connecting our world: GIS web services. ESRI Press, Redlands, California, 164 pp

    Google Scholar 

  • USDA (1999) Soil taxonomy, a basic system of soil classification for making and interpreting soil surveys. USDA Agriculture Handbook No. 436. U.S. Government Print Office, Washington, DC

    Google Scholar 

  • Wilson P (2012) Advancing online delivery of Australian soil data and information. CSIRO Land & Water, Black Mountain Laboratories. Internal report. www.clw.csiro.au/aclep/documents/Online%20Data%20Delivery%20to%20ASRIS%20Report.pdf

  • Yu J, Chen Y, Wu J, Khan S (2011) Cellular automata based spatial multi-criteria land suitability simulation for irrigated agriculture. Int J Geogr Inf Sci 25(1):131–148

    Article  Google Scholar 

  • Zhu X, McCosker J, Dale AP, Bischof RJ (2001) Web-based decision support for regional vegetation management. Comput Environ Urban Syst 25(6):605–627. doi:10.1016/S0198-9715(00)00033-8

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the financial support provided from the Environment Agency – Abu Dhabi (EAD), technical support from the International Center for Biosaline Agriculture (ICBA, Dubai) and logistic support from the UAE Ministry of Environment and Water. We are very grateful to the contributions provided by Dr. Colin Pain (Seville University, Spain), Dr. Shabbir Shahid (ICBA, Dubai), Dr. Bill Porter (DAFWA, Australia), and Mr. David Morand (NSW Office of Environment and Heritage, Australia). We would also like to thank Paul Smith, Yasser Othman, Rommel Pangilinan, and Anuja Vijayan for their assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mahmoud A. Abdelfattah.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abdelfattah, M.A., Kumar, A.T. A web-based GIS enabled soil information system for the United Arab Emirates and its applicability in agricultural land use planning. Arab J Geosci 8, 1813–1827 (2015). https://doi.org/10.1007/s12517-014-1289-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12517-014-1289-y

Keywords

Navigation