Research Highlight

Development of Spatial Decision Support System for Village Based National Rice Production (Phase 1: Developing Baseline of Spatially-Explicit Dynamic Model) by: Impron, Y. Setiawan, H. Imantho, O. A. Endiviana, S. W. Sugiarto, T. Yuliawan

The research entitled “Development of Spatial Decision Support System for Village Based National Rice Production (Phase 1)” has succeeded address several important information on the physiological responses of rice to different fertilizer doses, environmental effects (weather) and cropping patterns on the three selected varieties. The dynamics of LAI are generally uniform, experiencing an increase in LAI until it reaches a maximum vegetative growth stage at 47 days after planting, and then decreases towards harvest time. The similar and consistent response is shown by NDVI which is derived from the Sentinel-2 imagery. NDVI has significant response to the fertilizer dosage treatment. A higher fertilizer dosage gives a higher NDVI value, especially in the early stages until maximum vegetative stage. However, cropping patterns and varieties cannot be distinguished through this NDVI value.

Drone imagery demonstrated its potential to differentiate cropping patterns and varieties. The index values generated using the Red and Green channels show the similar pattern as the NDVI generated using the Sentinel-2 image. Further processing is required to produce an empirical formula that represents the spatio-temporal relationship between signature reflectance and plant characteristics-based drone imagery. Read more...

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