Skip to main content

Conclusions and Recommendations for Environmental Applications of Remote Sensing and GIS in Libya

  • Chapter
  • First Online:
Book cover Environmental Applications of Remote Sensing and GIS in Libya

Abstract

This chapter highlights the most important conclusions and recommendations from all chapters to provide perspective and guidance for students, teachers, researchers, decision-makers, etc. It includes summarized information on the latest research studies that used remote sensing (RS) and geographical information systems (GIS) techniques for environmental applications in Libya. Conclusions of different Libyan case studies related to the use of remote sensing and GIS tools have been described and several modeling approaches have been introduced. The current chapter also includes set recommendations that illustrate the relationships between remote sensing, field observations, laboratory analysis, and GIS for an integrated analysis of managing Earth’s natural resources more sustainably and addressing many of the environmental problems humans face today.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bolick MM, Post CJ, Mikhailova EA, Zurqani HA, Grunwald AP, Saldo EA (2021) Evaluation of riparian tree cover and shading in the Chauga River watershed using LiDAR and deep learning land cover classification. Remote Sens 13(20):4172

    Article  Google Scholar 

  • Tarazona Y, Zabala A, Pons X, Broquetas A, Nowosad J, Zurqani HA (2021) Fusing Landsat and SAR data for mapping tropical deforestation through machine learning classification and the PVts-β non-seasonal detection approach. Can J Remote Sens 47(5):677–696

    Article  Google Scholar 

  • Wulder MA, Loveland TR, Roy DP, Crawford CJ, Masek JG, Woodcock CE, Allen RG, Anderson MC, Belward AS, Cohen WB et al (2019) Current status of Landsat program, science, and applications. Remote Sens Environ 225:127–147

    Article  Google Scholar 

  • Zurqani H, Mikhailova E, Post C, Schlautman M, Sharp J (2018a) Predicting the classes and distribution of salt-affected soils in Northwest Libya. Commun Soil Sci Plant Anal 49(6):689–700

    Article  Google Scholar 

  • Zurqani HA, Post CJ, Mikhailova EA, Schlautman MA, Sharp JL (2018b) Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine. Int J Appl Earth Obs Geoinf 69:175–185

    Google Scholar 

  • Zurqani HA, Mikhailova EA, Post CJ, Schlautman MA, Elhawej AR (2019) A review of Libyan soil databases for use within an ecosystem services framework. Land 8(5):82

    Article  Google Scholar 

  • Zurqani HA, Post CJ, Mikhailova EA, Cope MP, Allen JS, Lytle BA (2020) Evaluating the integrity of forested riparian buffers over a large area using LiDAR data and Google Earth Engine. Sci Rep 10(1):1–16

    Article  Google Scholar 

Download references

Author Contributions

Hamdi A. Zurqani: conceptualization, methodology, supervision, software, data curation, formal analysis, validation, investigation, writing-original draft, visualization, writing—review and editing, review of analysis. The author has read and agreed to the published version of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hamdi A. Zurqani .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zurqani, H.A. (2022). Conclusions and Recommendations for Environmental Applications of Remote Sensing and GIS in Libya. In: Zurqani, H.A. (eds) Environmental Applications of Remote Sensing and GIS in Libya. Springer, Cham. https://doi.org/10.1007/978-3-030-97810-5_12

Download citation

Publish with us

Policies and ethics