Evaluating soil quality (SQ) is essential to track changes in soil performance in response to management
practices. The current work aimed at using remote sensing and GIS to assess SQ in Dakahlia Governorate,
north Nile Delta of Egypt. Twenty-one soil profiles representing the main geomorphic units in the area
were dug and samples were collected from different horizons and analysed. Twenty-nine parameters
were used to calculate 4 soil quality indices; chemical, physical, fertility and environmental. The four
indices were assembled with the geomorphic units in four thematic layers, which were overlain in accordance
with geometric mean algorism in a single map. The proposed model showed that about 29% of the
total agricultural lands were classified as very high, 30% as high, 33% as moderate, 3% as low and 5% as
very low quality. Results of the proposed model agreed with those calculated by the additive index in
95% of the cases, while they agreed with the weighted additive index in 71% of the cases. The Kappa statics
indicated an almost perfect agreement between the proposed model and the additive model, while a
moderate agreement with the weighted additive model. The proposed model had the highest sensitivity
index, indicating its accuracy for evaluating SQ in the studied area. The developed model would provide a
useful tool for proper monitoring of soil performance in the studied area. |
