logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Historical Land Useland Cover Classification Using Remote Sensing A Case Study Of The Euphrates River Basin In Syria 1st Edition Wafi Alfares Auth

  • SKU: BELL-4290252
Historical Land Useland Cover Classification Using Remote Sensing A Case Study Of The Euphrates River Basin In Syria 1st Edition Wafi Alfares Auth
$ 31.00 $ 45.00 (-31%)

4.8

34 reviews

Historical Land Useland Cover Classification Using Remote Sensing A Case Study Of The Euphrates River Basin In Syria 1st Edition Wafi Alfares Auth instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 8.62 MB
Pages: 204
Author: Wafi Al-Fares (auth.)
ISBN: 9783319006239, 9783319006246, 3319006231, 331900624X
Language: English
Year: 2013
Edition: 1

Product desciption

Historical Land Useland Cover Classification Using Remote Sensing A Case Study Of The Euphrates River Basin In Syria 1st Edition Wafi Alfares Auth by Wafi Al-fares (auth.) 9783319006239, 9783319006246, 3319006231, 331900624X instant download after payment.

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.

Related Products