Abstract
Since there are some signs of land degradation and desertification showing how soil sustainability is threatened,it is crucial to create a soil quality index(SQI)model in the semi-arid Çorum Basin,situated between the Black Sea and Anatolia Region,Central Turkey.The primary aims of the study are:(1)to determine SQI values of the micro-basin in terms of land degradation and desertification.Moreover,the best-worst method(BWM)was used to determine the weighting score for each parameter;(2)to produce the soils'spatial distribution by utilizing different geostatistical models and GIS(geographic information system)techniques;and(3)to validate the obtained SQI values with biomass reflectance values.Therefore,the relationship of RE-OSAVI(red-edge optimized soil-adjusted vegetation index)and NDVI(normalized difference vegetation index)generated from Sentinel-2A satellite images at different time series with soil quality was examined.Results showed that SQI values were high in the areas that had almost a flat and slight slope.Moreover,the areas with high clay content and thick soil depth did not have salinity problems,and were generally distributed in the middle parts of the basin.However,the areas with a high slope,poor vegetation,high sand content,and low water holding capacity had low SQI values.Furthermore,a statistically high positive correlation of RE-OSAVI and NDVI indices with soil quality was found,and NDVI had the highest correlative value for June(R2=0.802)compared with RE-OSAVI.
国家科技期刊平台
NSTL
维普
万方数据