GROWTH PROFILE ANALYSIS OF OIL PALM BY USING SPOT 6 THE CASE OF NORTH SUMATRA

Ita Carolita, J. Sitorus, Johannes Manalu, Dhimas Wiratmoko

Abstract

Oil Palm (Elaeis guineensis Jack.) is one of the world’s most important tropical tree crops. Its expansion has been reported to cause widespread environment impacts. SPOT 6 data is one of high resolution satellite data that can give information more detail about vegetation and the age of oil palm plantation. The objective of this study was to analyze the growth profile of oil palm and to estimate the productivity age of oil palm. The study area is PTP N 3 in Tebing Tinggi North Sumatera Indonesia.  The method that used is NDVI analysis and regression analysis for getting the model of oil palm growth profile. Data from the field were collected as the secondary data to build that model. The data that collected were age of oil palm and diameters of canopy for every age.   Results indicate that oil palm growth can be explained by variation of NDVI with formula y = -0.0004x2 + 0.0107x + 0.3912, where x is oil palm age and  Y is NDVI of SPOT, with R² = 0.657. This equation can be used to predict the age of oil palm for range 4 to 11 years with R2 around 0.89.

Keywords

growth profile; SPOT 6; oil palm plantation age

Full Text:

PDF

References

Fadli, (1995), Pengaruh Umur Tegakan Kelapa Sawit terhadap Nilai Kecerahan pada Data Digital SPOT Multispektral di Kebun Sawit Serbrang, Sumatera Utara. Yogyakarta: Universitas Gadjah Mada.

https://kotatebingtinggi.wordpress.com/profil-kota/ profil-umum-kota-tebing-tinggi/.

Koh, LP, (2011), Remotely Sensed Evidence of Tropical Peatland Conversion to Oil Palm. In Proceedings of the National Academy of Sciences of the United States of America 108 (12).

Lukman F., Poeloengan Z., (1996), Application of Remote Sensing Technique for Oil Palm Plantation, Management. In Proceedings of the 1997 PORIM International Palm Oil Congress-Competitiveness for the 21st Century: 460-467.

Morrow J., (2001), Linear Regression Modelling for the Estimation of Oil Palm Age from Landsat-TM. Journal of Remote Sensing: 2243-3364.

Salunkhe DK, Chavan JK, Adsule RN, Kadam SS, (1992), World Oilseeds. Chemistry, Technology, and Utilization. New York.

Silleos, N., (2006), Vegetation Indices: Advances Made in Biomass Estimation and Vegetation Monitoring in the Last 30 Years. Geocarto International 21(4).

Sitorus J., (2004), Pengembangan Model Estimasi Umur Tanaman Sawit dengan Menggunakan Data Landsat-TM. Jurnal Penginderaan Jauh dan Pengolahan Data Digital. 1(1): 14-19.

Sutarta, ES, and Rahutomo, S., (2013), New Standard for FFB Yield of IOPRI’s Planting Materials Based on Land Suitability Class. Medan.

Wahid BO, Nordiana AA, Tarmizi AM, (2005), Satellite Mapping of Oil Palm Land Use. MPOB Information Series, MPOB TT No. 255, ISSN 1511 – 7871.

Refbacks

  • There are currently no refbacks.