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In this study, in order to monitor seasonality function in peat swamp forests by remotely sensed data; we attempted to predict the hydroperiod and phenology of a peat swamp forest in Central Kalimantan using multi-temporal TERRA-MODIS data. We developed a niche method to compress the monthly NDVI images of a one-year period into four seasonal NDVI images. The four seasonal periods were discriminated by using the degree and aspect of the local groundwater levels. Five phenology types, i.e., Dry-philous, Dry-phobous, Wet-philous, Wet-phobous, and Mixed phenology, were classified from the seasonal fluctuation in NDVI values. Water-deficit stress of vegetation during the dry season in the Dry-phobous forest phenology type, and the water-flooding stress of vegetation during the wet season in the Wet-phobous forest phenology type were indicated. The strong effect of the hydroperiod on the forest phenology of peat swamp forests is clarified.

Hydroperiod and phenology prediction in a Central Kalimantan peat swamp forest by using MODIS data