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Journal article
Penggunaan Citra Landsat 8 untuk Estimasi Kadar Khlorofil dan Hasil Tanaman Padi
Volume : 4 Nomor : 1 Published : 2014, April
Agrotrop
Abstrak
Predicting rice yield before harvest time is important to supporting planners and decision makers to predict the amount of rice that should be imported or exported and to enable governments to put in place strategic contingency plans for the redistribution of food during times of famine. This study used Landsat 8 that has better both spectral and radiometric resolution compared with the Landsat 7. The result of this study shows that using several Landsat 8 band as vegetation index provided better relationship with rice chlorophyll compared usind single band. Normalized Difference Vegetation Index (NDVI) has the best relationship with the chlorophyll content of rice plant compared with other vegetation index and single band of Landsat 8 with the R2 of 0.936 . The form of relationship is linear with equation of y = 7.1043x + 0.0661, where y and x are chlorophyll content of rice plant and NDVI, respectively. Rice yield can be estimated in rice age approximatelly of 2 months with the equation of y = 30.495x2 - 36.884x + 19.334, where y and x are rice yield in ton/ha and NDVI, respectively. The R² of this estimation is 0.893 with the standard error of 0.372