Direct NOAA Imagery Extraction System for Data Acqisition of Rice Growth Modeling

Abstract

This research presents a new method for processing remote sensing data. A customized tool was developed to handle data acquisition for a rice growth model using daily NDVl data from NOAA AVHRR satelllfe. Thts tool outornates several baslc remote sensing steps to produce NDVI dataset for a specfic study area lncludlng image retrieval, image rectification, NDVl calculation, re-sampling. and dota masking. The architecture of thls system considers the above application be used as an independent tod which can be executed directly from computer console. or called by other applications as o sub module. To meet thls requirement. the output of the system is declared to be compatible with input data format spec[- fication of the current rice growth model. We used the Shierory-rice model (Handoko, 1994) as the main system. Our focus in developing this application was the automotlon process of NOM AVHRR imoge rectification without uslng any vector / map as a reference for coordlnote reglstratlon. Coordinate registration was extracted from the NOAA imagery itself. Thls methodology enables the use of NOAA Imagery for every area in the earth surface. even there is no digital map available for the area. Evaluation and validation were performed to ensure that this system woks prop erly according to the design. We compared our system with current rnethodology using available remote sensing tool.