Historical Land Use/Land Cover Classification Using Remote Sensing

Name: Historical Land Use/Land Cover Classification Using Remote Sensing
Brand: Springer, Berlin
SKU: 9783319006239
Price: 19433 HUF
Availability: InStock

A Case Study of the Euphrates River Basin in Syria

Szerző: Wafi Al-Fares

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

19 433 Ft

Although the development of remote sensing techniques focuses greatly on construction of new sensors...

Információk a könyvről

Szerző

Wafi Al-Fares

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2013

oldal

204

EAN

9783319006239

ISBN

3319006231

Enbook ID

01468948

Kiadó

Springer, Berlin

Súly

356

Méretek

159 x 233 x 14

Teljes leírás

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.

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Historical Land Use/Land Cover Classification Using Remote Sensing

A Case Study of the Euphrates River Basin in Syria

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