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 Intelligent Robotics and Applications by Wafi Al-Fares
Cover of the book Fundoplication Surgery by Wafi Al-Fares
Cover of the book Frontiers and Progress in Multiphase Flow I by Wafi Al-Fares
Cover of the book Assortment and Merchandising Strategy by Wafi Al-Fares
Cover of the book Physical Geology of Shallow Magmatic Systems by Wafi Al-Fares
Cover of the book Advances in Physical Ergonomics and Human Factors by Wafi Al-Fares
Cover of the book Mathematics, Substance and Surmise by Wafi Al-Fares
Cover of the book Star Trek and the Politics of Globalism by Wafi Al-Fares
Cover of the book Fuzzy Logic of Quasi-Truth: An Algebraic Treatment by Wafi Al-Fares
Cover of the book Enterprise Resource Planning and Business Intelligence Systems for Information Quality by Wafi Al-Fares
Cover of the book Ethics in Medicine by Wafi Al-Fares
Cover of the book A Shamanic Pneumatology in a Mystical Age of Sacred Sustainability by Wafi Al-Fares
Cover of the book Néron Models and Base Change by Wafi Al-Fares
Cover of the book Evolutionary Computation Techniques: A Comparative Perspective by Wafi Al-Fares
Cover of the book Advanced Photon Counting 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