TY  - BOOK
AU  - Al-Fares,Wafi
ED  - SpringerLink (Online service)
TI  - Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria 
T2  - SpringerBriefs in Geography,
SN  - 9783319006246
AV  - GA1-1776 
U1  - 910.285 23
PY  - 2013///
CY  - Heidelberg
PB  - Springer International Publishing, Imprint: Springer
KW  - Geography
KW  - Geographical information systems
KW  - Regional planning
KW  - Urban planning
KW  - Agriculture
KW  - Geographical Information Systems/Cartography
KW  - Landscape/Regional and Urban Planning
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-00624-6
ER  -