SAINS TANAH - Journal of Soil Science and Agroclimatology
Vol 22, No 1 (2025): June

Mesolandform classification and its relationship with smallholder coffee production in the Malang Regency, Indonesia

Dinna Hadi Sholikah (Doctoral Program of Agriculture Science, Faculty of Agriculture, Brawijaya University)
Jamhuri Jamaluddin (Department of Forestry Science and Biodiversity, Faculty of Forestry and Environment, Universiti Putra Malaysia)
Abdul Wahid Hasyim (Department of Regional and Urban Planning, Faculty of Engineering, Brawijaya University)
Mochtar Lutfi Rayes (Department of Soil Science, Faculty of Agriculture, Brawijaya University)
Haidar Fari Aditya (Department of Agrotechnology, Faculty of Agriculture, Universitas Pembangunan Nasional Veteran Jawa Timur)
Soemarno Soemarno (Department of Soil Science, Faculty of Agriculture, Brawijaya University)



Article Info

Publish Date
05 May 2025

Abstract

Mesolandform analysis is necessary for smallholder coffee land management because it can clearly distinguish landform boundaries. Automatic mesolandform classification utilizes geographic information system (GIS) and remote sensing technology using the topographic position index (TPI), slope, curvature, lithology, land use, and normalized difference vegetative index (NDVI). This study aims to classify the mesolandform of smallholder coffee plantations and determine its relationship attributes with coffee production. The data included the Digital Elevation Model, lithology map, Sentinel 2 A harmonized image, and actual coffee production. The spatial analysis was performed using ArcGIS 10.8 and QGIS 3.1.6, and the statistical data analysis was performed using RStudio. Mesolandform affects coffee production (p < 0.0001) and was significantly related to it. The highest production was found on the open slope mesolandform, with coffee production ranging from 7.13 to 9.95 tons/ha. Mesolandform attributes have a significant effect on coffee production increase (R2 = 0.69) on land characteristics with high coffee vegetation density (NDVI > 0.6), topographic position in open slope to flat (TPI 0–2), dominant slope is flat to undulating (<8%), and land curvatures are level or convergent foot slope (<2). The research results can support the sustainable management of smallholder coffee plantations based on mesolandform attributes.

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