Forecasting Plant Vigor Through Vegetation Index Mapping

Fatehah Hanim, Ahmad Othman (2013) Forecasting Plant Vigor Through Vegetation Index Mapping. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The purpose of this project is to forecasting plant vigor through vegetation index mapping. The Normalized Difference Vegetation Index (NDVI) is a simple graphical indicator that can be used to analyze remote sensing measurements, typically but not necessarily from a space platform, and assess whether the target being observed contains live green vegetation or not. Remote sensing in conjunction with Landsat-5 satellite is used to map the NDVI information map. Remote sensing (RS) is a technique that uses a sensing device to collect information on given objects or phenomena from afar without physical contact. The area cover for this study is Klang, Selangor. Density slicing is a digital data interpretation method used in analysis of remotely sensed imagery to enhance the information gathered from an individual brightness band. The ISODATA classification algorithm is regarded as a common method in the field of analyzing remote sensing images. Density slicing technique will be compare with ISODATA classification technique for accuracy assessment. The methodology consist of 4 phases; analysis, design, implementation and verification.

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