Fauzan, Moch Iqbal and Sutrisno, Anggita Pratiwi and Darmawan, Soni and Hernawati, Rika (2021) CORRELATION MODEL OF OIL PALM AGE BASED ON OPTICAL AND RADAR SENSORS. In: The 42nd Asian Conference on Remote Sensing (ACRS2021), 22-24th November, 2021, Can Tho University, Can Tho city, Vietnam.

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Abstract

Indonesia is the largest producer of palm oil that is 80% of palm oil is used for edible products and 20% is used for the oleochemical industry. Oil palm is one of the plantation commodities that provides the highest income, however nowadays the oil palm production has decreased because of older, pet and diseases. One way to increase the productivity of oil palm it can do by continuous monitoring through the age of the oil palm. Monitoring the age of oil palms can be done by applying remote sensing technology using optical and radar sensors. The objective on this study is to investigate Correlation between Oil Palm Age with NDVI on Landsat 8 and backscattering on Sentinel-1A satellite imagery. Study case in the Asahan area, North Sumatra Province, Indonesia. Processing data in this study using the Cloud Computing Google Earth Engine platform. The data that is used as a parameter in the extraction process for Landsat-8 images uses the NDVI vegetation index value, while the Sentinel-1 SAR data uses C-Band with 2 VV and VH polarizations which produce backscatter values. The result was found correlation model of Landsat-8 image is y =-0.0002x2 + 0.0052x + 0.7685 with R² = 0.85. In sentinel image the correlation model generated for each polarization is y = -0.0039x2 + 0.1193x - 7.9247 with R² = 0.85 on VV polarization and y = -0.0036x2 + 0.1242x - 15.344 with R² = 0.81 on VH polarization. From these results, both have different model values with different R2 values. On this case NDVI and sentinel-1 on VV polarization is the best result and the most correlated.

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