Updating information on rice fields is very important to pay attention to environmental quality and food security. This is related to Indonesia's commitment to achieving Sustainable Development Goal number two in terms of agricultural data collection and analysis. Remote sensing can be used as an alternative method for identifying and mapping land cover, for instance paddy fields. Land cover in paddy fields varies greatly according to paddy growth phase, wherein these growth phase can be shown by different spectral reflectance values in remote sensing imagery. Mapping of paddy fields based on their spectral reflectance began to be widely carried out in Indonesia. Therefore, the aims of this study were to determine the spectral reflectance pattern of temporal paddy growth phase then form a map of the paddy fields based on those spectral libraries. This study used Spectral Angle Mapper (SAM) method to identify paddy fields on Landsat-8 OLI determined from spectral reflectance pattern of paddy-growth phase in some areas of Subang and Indramayu Regency in one growing season. The results succeeded in classifying paddy fields and non-paddy fields area. Classified paddy fields consisted of several land covers comprising the bare-land, inundation-land, vegetative, generative, and ripening. The accuracy test showed an overall accuracy of 70.07%. Misclassification in this study occurred due to the existence of thin cloud cover, besides there was a misclassification between built-up area and the bare land.
Vegetation is the key to the ecological conditions of an area, especially the highlands, which function as protected areas. The mapping of vegetation cover percentage is essential considering that highlands in Indonesia have massive changes, particularly in areas affected by eruptions. This study aims to map the changes in vegetation cover percentage of the area around Mount Agung after the eruption in 2017. Pre-eruption and post-eruption multi-temporal remote sensing data were used to extract the percentage of vegetation cover using an empirical model built from regression of NDVI values and visual observation of vegetation cover percentage based on high-resolution imagery. The estimated error value is 9.67% of pre-eruption condition cover and 14.45% of post-eruption condition cover, used as a threshold value to determine the area and location of percentage changes of vegetation cover. The area of 1.93 km2 decreases vegetation cover percentage due to the eruption on the southern and southwest slopes of Mount Agung. The area that has not changed because of the eruption dominates at 24.92 km2. The area that experienced increasing vegetation cover percentages was minimal due to vegetation growth during the temporal difference of imagery (5 months).
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