Historical Land Use/Land Cover Classification Using Remote Sensing [electronic resource] : A Case Study of the Euphrates River Basin in Syria / by Wafi Al-Fares
- Al-Fares, Wafi
- Heidelberg : Springer International Publishing : Imprint: Springer, 2013.
- Physical Description:
- XVIII, 204 pages 96 illustrations, 86 illustrations in color : online resource
- Additional Creators:
- SpringerLink (Online service)
- SpringerBriefs in Geography, 2211-4165
- Theoretical background and literature review / state of the art -- Overview of study area -- Data and tools -- Research methodology -- Results, analysis and discussions -- Summary, concluding remarks and recommendations.
- 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.
- Digital File Characteristics:
- text file PDF
- AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
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