Remote sensing technique of assessing oil palm leaf nitrogen content

Nor Azleen A. R. and Wahid B. O. and Tarmizi A. M. and Basri M. W. (2003) Remote sensing technique of assessing oil palm leaf nitrogen content. [Proceedings Paper]

Landsat TM data were used to determine foliar nitrogen content in Sungai Papan Estate, Johar. The study area was mapped into 84 plots using DGP S and the foliar nutrient contents data were determined for each plot. After correcting the Landsat data, the digital number for each plot was generated and used to calculate three types of vegetation indices namely Normalized Differences Vegetation Indices (NDVI), Soil Adjusted Vegetation Indices (SAVI) and Atmospherically Resistant Vegetation Indices (ARVI). The correlation between VI and measured foliar nitrogen content data was determined statistically. Except the SAVI, no significant relationship was found between NDVI and ARVI with foliar-nitrogen content. The SAVI showed positive correlation with foliar-nitrogen content. Five types of fit line are used against the plotted graph between SAVI and Nitrogen (Linear, Polynomial, Logarithm, Power and Exponential). The Chi Square Test is carried out to determine the error of the algorithm. SAVI with linear relationship is selected as the best fit-line to describe the relationship between VI and foliar nitrogen with accuracy of91% and error of 4%.

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Abstract

Landsat TM data were used to determine foliar nitrogen content in Sungai Papan Estate, Johar. The study area was mapped into 84 plots using DGP S and the foliar nutrient contents data were determined for each plot. After correcting the Landsat data, the digital number for each plot was generated and used to calculate three types of vegetation indices namely Normalized Differences Vegetation Indices (NDVI), Soil Adjusted Vegetation Indices (SAVI) and Atmospherically Resistant Vegetation Indices (ARVI). The correlation between VI and measured foliar nitrogen content data was determined statistically. Except the SAVI, no significant relationship was found between NDVI and ARVI with foliar-nitrogen content. The SAVI showed positive correlation with foliar-nitrogen content. Five types of fit line are used against the plotted graph between SAVI and Nitrogen (Linear, Polynomial, Logarithm, Power and Exponential). The Chi Square Test is carried out to determine the error of the algorithm. SAVI with linear relationship is selected as the best fit-line to describe the relationship between VI and foliar nitrogen with accuracy of91% and error of 4%.

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Item Type:	Proceedings Paper
Additional Information:	Available at Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. TP684 P3I61 2003 Call Number
AGROVOC Term:	remote sensing
AGROVOC Term:	oil palm > oil palm Prefer using Elaeis guineensisElaeis guineensis
AGROVOC Term:	data analysis
AGROVOC Term:	data collection
AGROVOC Term:	monitoring
AGROVOC Term:	nitrogen
AGROVOC Term:	nutrient status > nutrient status Prefer using nutritional statusnutritional status
AGROVOC Term:	precision farming > precision farming Prefer using precision agricultureprecision agriculture
AGROVOC Term:	nutrient management
AGROVOC Term:	precision agriculture
Geographical Term:	Malaysia
Depositing User:	Nor Hasnita Abdul Samat
Date Deposited:	04 Aug 2024 08:44
Last Modified:	04 Aug 2024 08:44
URI:	http://webagris.upm.edu.my/id/eprint/877

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