Norhan Mat Yusoff
Astronautic Technology (M) Sdn Bhd
Email: [email protected]
The capability of imaging sensor pushes the remote sensing technology for higher spatial and spectral resolution. The progress drives for understanding of data for new techniques in various applications, image processing software and other related technologies. To the remote sensing and GIS user community, the higher spatial resolution improves better features identification and higher mapping accuracy of land use specially in terms of distribution and statistically in terms of unit area. This is important when applications require high accuracy for distribution and unit area of specific feature such as land use study to relate to other parameters in order to generate model for projection. But as data sometimes has acquisition limitation, thus other data of which spatially much lower than the one being desired has to be used, then the user should understand the tolerance of accuracy that will influence the results of the study. This study is to identify the relationship between variation in imagery spatial resolution and the accuracy of distribution and unit area of feature to allow users to understand the use of data for the most applicable applications. Spatial resolutions of features were generated from high to low and the distribution and unit area variations of features were compared to analyze the deviation in results accuracy.