Sentinel 1 Classification for Garlic Land Identification using Support Vector Machine

Agmalaro, Muhammad Asyhar; Sitanggang, Imas Sukaesih; Waskito, Mia Larisa

doi:10.1109/icoict52021.2021.9527446

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…In addition, S1 SAR images are very sensitive to plant structure (Chauhan et al, 2020;Schlund and Erasmi, 2020), which is conducive to monitoring crops with different growth structures in the same growth cycle. Agmalaro et al (2021) attempted to map garlic distribution based on Sentinel-1 images using the support vector machine (SVM) approach. Similarly, Sentinel-1 images and the decision tree method were also used to identify garlic distributions (Komaraasih et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Coupling optical and SAR imagery for automatic garlic mapping

Chen¹,

Guo

Qiao

et al. 2022

Front. Sustain. Food Syst.

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Accurate garlic identification and mapping are vital for precise crop management and the optimization of yield models. However, previous understandings of garlic identification were limited. Here, we propose an automatic garlic mapping framework using optical and synthetic aperture radar (SAR) images on the Google Earth Engine. Specifically, we firstly mapped winter crops based on the phenology of winter crops derived from Sentinel-2 data. Then, the garlic was identified separately using Sentinel-1 and Sentinel-2 data based on the winter crops map. Additionally, multi-source validation data were used to evaluate our results. In garlic mapping, coupled optical and SAR images (OA 95.34% and kappa 0.91) outperformed the use of only optical images (OA 74.78% and kappa 0.50). The algorithm explored the potential of multi-source remote sensing data to identify target crops in mixed and fragmented planting regions. The garlic planting information from the resultant map is essential for optimizing the garlic planting structure, regulating garlic price fluctuations, and promoting a healthy and sustainable development of the garlic industry.

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