1Department of Agrotechnology, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Rungkut Madya Street, 60294, Surabaya City, East Java, Indonesia.
*Corresponding Author: Maroeto, Department of Agrotechnology, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur, Rungkut Madya Street, 60294, Surabaya City, East Java, Indonesia. Email: maroeto@upnjatim.ac.id.
This study assesses post-eruption soil health on Mount Kelud to support the development of superior commodities such as pineapple. Utilising a modified Cornell Soil Health Assessment (SHA) method, the analysis integrates physical, chemical and biological soil properties. This parameter combination of land characteristics includes slope and NDVI (Normalized Difference Vegetation Index).
A physiographic survey and land unit classification based on land use and criticality levels were employed. Statistical analyses (normality tests, ANOVA and correlation) were performed using RStudio, while spatial analyses used overlay and interpolation methods in ArcGIS.
SHA post-eruption has criteria healthy (63.30%) and moderately healthy (36.70% ) and KBA has the highest. Key parameters significantly influencing SHA included porosity (0.77), sand composition (-0.70), BD (-0,49), permeability (-0.44), pH (r=0.36), earthworm population (0.73), organic matter (0.37), slope (-0.62) and NDVI (0.56). Integrating soil and land indicators into spatially distributed SHA mapping offers a strategic approach to land management and supports the targeted cultivation of pineapple as a leading post-eruption crop.
Land characteristic, NDVI, Post-eruption land management, Soil quality, Spatial analysis, Topographic
