Prediction of Soil Salinity Using Multivariate Statistical Techniques and Remote Sensing Tools
نویسندگان
چکیده
منابع مشابه
Prediction of Soil Salinity Using Neural Network and Multivariate Regression Based on Remote Sensing Indices and Comparison: A Case Study of Qazvin plain's Salt Marsh
Introduction: The spatial and temporal distribution of salts in the soil, the great extent of the Iranian deserts, and the adverse climatic conditions prevailing over them make it difficult to accurately determine the parameters and field measurements in some cases. In the last two decades, the use of field techniques and their combination with remote sensing data has contributed significantly ...
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Extended abstract 1- Introduction Soil salinity is one of the most important desertification parameters in many parts of the world. Thus, preparing soil salinity maps in macro scales is necessary. Water and soil salinity as one of the contributing parameters in desertification, cause soil and vegetation degradation. Soil salinization represents many negative effects on the earth systems such ...
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Soil mapping is one of the basic studies in the natural resource sector. The purpose of this study was to analyze spatial of soil properties on the map of arid areas and deserts. For this purpose, a region with an area of 600 hectares in Qom that considered Salt Lake watershed. Specified methods used include inverse distance methods, radial functions, and prediction local general estimate. Krig...
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ژورنال
عنوان ژورنال: Advances in Remote Sensing
سال: 2018
ISSN: 2169-267X,2169-2688
DOI: 10.4236/ars.2018.74021