Preprint Article Version 1 This version is not peer-reviewed

Determining Oil Palm Stands Age Using Multi Temporal Images Analysis

Version 1 : Received: 9 October 2018 / Approved: 9 October 2018 / Online: 9 October 2018 (11:33:18 CEST)

How to cite: Fitrianto, A.C.; Yuwono, D.M.; Darmawan, A.; Tokimatsu, K. Determining Oil Palm Stands Age Using Multi Temporal Images Analysis. Preprints 2018, 2018100187 (doi: 10.20944/preprints201810.0187.v1). Fitrianto, A.C.; Yuwono, D.M.; Darmawan, A.; Tokimatsu, K. Determining Oil Palm Stands Age Using Multi Temporal Images Analysis. Preprints 2018, 2018100187 (doi: 10.20944/preprints201810.0187.v1).

Abstract

In the oil palm industry, stands age is an important parameter to monitor the sustainability of cultivation, to develop the growth yield model, to identify the disease or stressed area, and to estimate the carbon storage capacity. This research is focused to estimate and distinguish oil palm stands age based on crown/ canopy density obtained using Forest Canopy Density (FCD) model derived from four indices as follows; Advanced Vegetation Index, Bare Soil Index, Shadow Index, and Thermal Index. FCD model employs multi temporal image analysis resulting four classes of oil palm stands age categorized as seed with FCD value of 29–56% (0 years), young with FCD value of 56–63% (1–9 years), teen with FCD value of 63–80% (10–15 years), and mature with FCD value of >80% (>15 years). Minimum canopy density value is 29% even in the zero years old indicates incomplete land clearance or the type of seed planted in the land.

Subject Areas

remote sensing; multi-temporal; Landsat; age; canopy; FCD

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