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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria

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

Al-Fares, Wafi

Paperback

Series: Springerbriefs in Geography

AgricultureGeographyUnited States Politics

ISBN10: 3319006231
ISBN13: 9783319006239
Publisher: Springer Pg
Published: Jul 24 2013
Pages: 204
Weight: 0.75
Height: 0.60 Width: 6.10 Depth: 9.10
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.

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