Beschreibung
This study deals with the analysis and mapping of soil salinity levels in Metehara sugarcane estate irrigation farm. An attempt was made to identify salt affected areas by visual interpretation using both true and false colour composite. From the supervised classification, 726 ha area was mapped as highly saline. However, the result obtained from NDSI was not only in area-wise, but also the level of salinity as highly saline, moderately and slightly saline, determined based on the reflectance value. Out of the total area, 6% was mapped as highly saline. A regression analysis between EC values of small areas confined only in Metehara Sugarcane estate and the corresponding reflectance value in the NDSI image offer a polynomial relation of order two. The empirical model that obtained from the regression analysis was used to derive a salinity map and estimate EC level. The spatial distribution of salt affected area derived from NDSI and model were of similar pattern but of different extent. In overlay salinity model, four classes have been identified with varying degree of salinity.
Autorenporträt
My name is Afework Mekeberiaw, and I am a citizen and national of Ethiopia. I pursued my primary and secondary education and higher studies in Ethiopia. I passed my Masters degree in Remote Sensing and GIS in 2009 from Addis Ababa University, Ethiopia and my Bachelors in Land Resource Management and Environmental Protection.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
