Vegetation cover a large part of the land surface in Malaysia and some of their products such as rubber, oil palm and timber are the main export goods of the country. Management of these vegetation requires suitable metods in order to increase the economic productivity of the country. The conventional methods such as ground and aerial surveys for mapping and monitoring vegetation have been widely used in Malaysia. However, these methods are time consuming, tedious adn costly and are usually limited to accessible areas. The use of satellite remote sensing technology for vegetation studies can be useful in overcoming some of the problems in conventional methods and has proven to be efficient and economical with the ability to provide a synoptic view of a large area at one instance in time. In this thesis, four studies were carried out on the use of Landsat-TM adn NOAA-AVHRR satellite data particularly in the use of Vegetation Indices (VIs) for obtaining vegetation information. The first study involved analysing spectral reflectance of various vegetation in study areas. Their response in the spectral regions used were found to be identical with typical spectral response characteristics of green vegetation. The results indicated that banana and young oil palm gave higher reflectance values in infrared region as compared to other vegetation types. The second study involved classifing and mapping major crop tpes using suitable vegetation indices deried from Landsat-TM data in raub and Sungai Besar study areas. The results obtained for Perpendicular Vegetation Index (PVI) was good although indices such as Ratio Vegetation Index (RVI) and Normalized Difference Vegetation Index(NDVI) did not produce satisfactory results for classifying crop types. The third study dealt with establishing a methodology for estimating padi yield from VI values derived from Landsat-TM satelite data in Sabak study area. The results indicated a linear relationship between VIs and the padi yield with the satellite yield estimate in error by 30% when compared with the field results. The results could have been improved if the satellite data were acquired at the same time as ground-truth work and more field samples were used. The final study involved mapping vegetation areas in Sepang study area using the NOAA-AVHRR data. The VIs were derived from the data in order to map vegetation types. The results showed that specific vegetation types could not be classified but vegetation cover in general could be mapped.