| Summary: | ABSTRACT
The aim of this study is to find out the characteristics of the spatio-temporal distribution of cloud cover over Indonesian land areas in relation to remote sensing activities.
Data collection in this research has been carried out manually with the aid of a grid system being superimposed upon the GMS imageries, covering an area bounded by 10 N and 12.6 S latitudes and by 95 E and 1425E longitudes having 18 x 38 or 684 cells as subareas the size of which is about 1 15' x 1 15' or 139 sq.km/cell approximately. The original or main data source comprises four GMS imageries which have been taken at random every month during a four-year period (1981-1985).
Data analysis has been performed iterative-interactively through a micro computer by applying techniques of factor analysis combined with the so-called 'parallelepiped classifier". The results have been the identiruotion of 18 spatio-temporal cloud cover homogeneous areas for the entire Indonesian land areas with 0.7 "cell-class" correlation to limit the class number. The required supplementary data covering Landsat and SPOT imageries have been used to verify, calibrate and even improve the class profiles. This will lead to the forcasting of cloud cover probabilities, i.e. probabilities of remotely sensed data acquisition by considering predictive profiles/graphs, so that the planning of remote sensing activities/surveys will be more effective and efficient.
Key words: spatio temporal distribution - GMS imageries - cell-class -- predictive profiles
|
|---|