The New Method for Detecting Early Planting and Bare Land Condition in Paddy Field by Using Vegetation-Bare-Water Index

Rice (Paddy) plants is the most important food crop for the Asian population, especially in Indoseia. During the growth of rice plants have four main phases, namely the initial planting which is still dominated by water objects, the vegetative phase, the generative phase, and the postharvest phase or Bare land. Monitoring the condition of the rice plant needs to be done in order to know whether the rice plants have problems or not in its growth cause drought, floods, and pests and diseases. Application of remote sensing technology, which uses
satellite data such as Landsat 8 which has a spatial and temporal resolution is high enough for monitoring the condition of crops such as paddy rice in a large area. In this study has been made an algoritm for monitoring rapidly of rice growth condition using combination between Vegetation-Bare-Water Index (EVI, NDBI, NDWI) with RGB Clustering in 766 partition of
the band Blue, Red and Near Infrared. The results showed that the threshold values for objects cloud, cloud shadows, water, vegetation and bare relatively consistent for all date data using
the method compared with other methods, such as the certain threshold value of band ratio method or only use vegetation index.