Historical Land Use/Land Cover Classification Using Remote Sensing

A Case Study of the Euphrates River Basin in Syria

Nonfiction, Social & Cultural Studies, Political Science, Politics, City Planning & Urban Development, Science & Nature, Science, Earth Sciences, Geography
Cover of the book Historical Land Use/Land Cover Classification Using Remote Sensing by Wafi Al-Fares, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Wafi Al-Fares ISBN: 9783319006246
Publisher: Springer International Publishing Publication: June 25, 2013
Imprint: Springer Language: English
Author: Wafi Al-Fares
ISBN: 9783319006246
Publisher: Springer International Publishing
Publication: June 25, 2013
Imprint: Springer
Language: English

Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well  as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.

The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well  as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.

The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.

More books from Springer International Publishing

Cover of the book Safety of Health IT by Wafi Al-Fares
Cover of the book Inventing the EU as a Democratic Polity by Wafi Al-Fares
Cover of the book Democratizing Candidate Selection by Wafi Al-Fares
Cover of the book High-Tc Copper Oxide Superconductors and Related Novel Materials by Wafi Al-Fares
Cover of the book Chemistry of 1,2,3-triazoles by Wafi Al-Fares
Cover of the book Semi-Solid Processing of Aluminum Alloys by Wafi Al-Fares
Cover of the book Abatement Techniques for Reducing Emissions from Livestock Buildings by Wafi Al-Fares
Cover of the book Enhanced Quality of Life and Smart Living by Wafi Al-Fares
Cover of the book The Theoretical Individual by Wafi Al-Fares
Cover of the book Practices and Tools for Servitization by Wafi Al-Fares
Cover of the book Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) by Wafi Al-Fares
Cover of the book Psychosocial Factors at Work in the Asia Pacific by Wafi Al-Fares
Cover of the book Quantum Lie Theory by Wafi Al-Fares
Cover of the book Gravity, Strings and Particles by Wafi Al-Fares
Cover of the book Conscious Business in Germany by Wafi Al-Fares
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy