Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria

✍ Scribed by Wafi Al-Fares (auth.)

Publisher: Springer International Publishing
Year: 2013
Tongue: English
Leaves: 216
Series: SpringerBriefs in Geography
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xviii
Introduction....Pages 1-9
Theoretical Background and State of the Art....Pages 11-38
Overview of Study Area....Pages 39-48
Data....Pages 49-61
Research Methodology....Pages 63-160
Results, Analysis and Discussion....Pages 161-196
Summary, Concluding Remarks and Recommendations....Pages 197-204

✦ Subjects

Geographical Information Systems/Cartography; Landscape/Regional and Urban Planning; Agriculture

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