Regional Evapotranspiration using Remote Sensing Data

Name: Regional Evapotranspiration using Remote Sensing Data
Brand: LAP Lambert Academic Publishing
SKU: 9783659977701
Price: 64.51 EUR
Availability: InStock

New Method,Estimation, Fusion, DSS

Autor: Ayoub Ahmed

Jazyk:

Väzba: Brožovaná

Vydavateľ: LAP Lambert Academic Publishing

Dostupnosť: Skladom u dodávateľa

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64.51 €

Evapotranspiration (ET) constitutes a large portion of the hydrology cycle and outdo of the importan...

Informácie o knihe

Autor

Ayoub Ahmed

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

284

EAN

9783659977701

Enbook ID

15502351

Vydavateľ

LAP Lambert Academic Publishing

Hmotnosť

441

Rozmery

150 x 220 x 17

Kompletný popis

Evapotranspiration (ET) constitutes a large portion of the hydrology cycle and outdo of the important parameter in the water budget in the arid areas. Measurement of the water vapor cycle of the land surface is crucial in improving the management of the limited fresh water resources. This book investigates and generating a new algorithm for estimating ET in the arid mountainous areas. The M-SEBAL (Modified Surface Energy Balance Algorithm for Land) was developed based on original SEBAL algorithm produced by Bastiaanssen in 1995. Operational M-SEBAL model estimates ET of mountain areas of Sana'a basin in Yemen using Remote Sensing data from various sensors and appropriate meteorological data. Fusion ET from Landsat images and ET from NOAA-AVHRR images was also done. Application of M-SEBAL at a regional scale was performed using Landsat TM and NOAA-AVHRR imagery for the Sana'a basin, Yemen. The results indicated that M-SEBAL performed well for predicting daily and monthly ET for mountainous agricultural areas. Some results were obtained for volcanic areas, basalt areas, desert areas and also arid coastal areas, using prediction of surface parameters. Regional DSS for ET was done.

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Regional Evapotranspiration using Remote Sensing Data

New Method,Estimation, Fusion, DSS

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Kompletný popis

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