Temporal Pattern Analysis of Wavelet-filtered Modis Evi to Detect Land Use Change in Java Island, Indonesia

Recently, land use and cover change is recognized as a one of major drivers of global change. Consequently, an updated and accurate database concerning their distribution is essential for global change research. This study investigated a land use change based on change of temporal pattern which applied to the wavelet-filtered MODIS EVI from 2000 to 2009. The temporal pattern analysis was able to detect the actual timing of change event in Java, either by conversion or vegetation growth; however, such capability was limited on global scale analysis. We identified several types of significant change pattern; those have contributed into the land use change. Nevertheless, the change detection based on temporal pattern became complicated in several sites of agricultural land, since they were detected as a land use change, even if they were not. Such phenomena were affected by the climate pattern issues, e.g. ElNino. The use of multi-temporal data sets will be necessary to develop methodologies that utilize information on inter-annual variations to increase the accuracy of the land surface characterization.