Spatial Modeling of Soil Salinity Using Remote Sensing, GIS, and Field Data

Name: Spatial Modeling of Soil Salinity Using Remote Sensing, GIS, and Field Data
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783639065978
Price: 1149 CZK
Availability: InStock

Autor: Eldeiry Ahmed

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag Dr. Mueller E.K.

Dostupnost: Skladem u dodavatele

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The environmental damage that salinity can cause is massive. In its early stages, soil salinization...

Informace o knize

Autor

Eldeiry Ahmed

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2008

Stránek

112

EAN

9783639065978

ISBN

3639065972

Enbook ID

06815949

Vydavatel

VDM Verlag Dr. Mueller E.K.

Hmotnost

159

Rozměry

152 x 229 x 6

Kompletní popis

The environmental damage that salinity can cause is massive. In its early stages, soil salinization reduces soil productivity, but in advanced stages, salinization kills all vegetation and transforms fertile and productive land to barren waste. Remote sensing data has great potential for monitoring dynamic processes, including salinization. Any integration of field data, GIS, and remote sensing is considered weak unless some strong statistical measures are introduced. This study has shown the benefit of using satellite images in generating accurate soil salinity maps. Corn and alfalfa crops were selected as indicators of soil salinity. Five images were acquired from Aster, Ikonos, and Landsat to check the correlation between measured soil salinity and remote sensing data. Observed data was used in conjunction with satellite images. Three models were applied to predict soil salinity from remote sensing: the ordinary least squares model (OLS), spatial autoregressive model (SAR), and modified kriging model. This study has demonstrated a more efficient and accurate way of estimating soil salinity from remote sensing data that should help the efforts toward sustainable agriculture.

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Spatial Modeling of Soil Salinity Using Remote Sensing, GIS, and Field Data

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