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

doi:10.1117/12.3009195

29 January 2024 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, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet; 129770J (2024) https://doi.org/10.1117/12.3009195
Event: 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 2023, Yogyakarta, Indonesia

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fadhlullah Ramadhani, Yudi Riadi Fanggidae, Elza Surmaini, Ai Dariah, and Yeli Sarvina "Mapping of garlic fields using rules-based techniques and remote sensing with a limited dataset", Proc. SPIE 12977, Eighth Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet, 129770J (29 January 2024); https://doi.org/10.1117/12.3009195

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KEYWORDS

Agriculture

Crop monitoring

Remote sensing

Vegetation

Data modeling

Satellites

Spatial resolution

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