Dr. Yeli Sarvina Profile

Dr. Yeli Sarvina

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Proceedings Article | 29 January 2024 Paper

Mapping of garlic fields using rules-based techniques and remote sensing with a limited dataset

Fadhlullah Ramadhani, Yudi Riadi Fanggidae, Elza Surmaini, Ai Dariah, Yeli Sarvina

Proceedings Volume 12977, 129770J (2024) https://doi.org/10.1117/12.3009195

KEYWORDS: Agriculture, Remote sensing, Crop monitoring, Vegetation, Spatial resolution, Satellites, Data modeling, Earth observing sensors

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Garlic cultivation is an essential source of livelihood for smallholder farmers in Indonesia, particularly in the Sembalun sub-district of East Lombok, West Nusa Tenggara. However, accurate mapping of garlic cultivation areas has been challenging due to limited resources and access to information. Thus, accurate mapping of garlic area and distribution is essential for improving agricultural monitoring and management in smallholder farming contexts. This study used geospatial techniques and remote sensing to map garlic area and distribution in the Sembalun sub-district, East Lombok, West Nusa Tenggara, Indonesia. This study applied a rules-based classification approach to map garlic cultivation areas in the Sembalun sub-district. The rule was based on Normalized Difference Vegetation Index (NDVI) values, elevation, slope, the existing map of agricultural land use, and the number of garlic producers in each sub-district for identifying areas with a higher probability of garlic cultivation. The approach proved effective in classifying garlic fields with high accuracy. The mapping results showed that garlic was primarily grown in highland areas, with a total garlic area is 780.4 ha or 38.9% of the total agriculture area. The study demonstrates the potential of geospatial techniques and remote sensing for improving agricultural monitoring and management in smallholder farming contexts with limited field data.

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