作者: N El Saleous , E Vermote , D A Bader , J JaJa , Snv Kalluri
DOI:
关键词: Data retrieval 、 Set (abstract data type) 、 Data processing 、 Real-time computing 、 Software system 、 Geography 、 Search engine indexing 、 Data set 、 Software 、 Remote sensing 、 Data structure
摘要: Raw remotely sensed satellite data have to be processed and mapped into a standard projection in order produce multitemporal set which can then used for regional or global Earth science studies. However, traditional methods of processing inherent limitations because they are based on fixed chain. Different users may need the different forms with possibly steps; hence, additional transformations applied data, resulting potentially significant errors. In this paper, we describe software system, Kronos, generation custom-tailored products from Advanced Very High Resolution Radiometer (AVHRR) sensor. It allows rich that easily specified through simple interface by scientists wishing carry out system modeling analysis. Kronos is flexible methodology consists four major components: ingest preprocessing, indexing storage, search engine, Java interface. After geo-location calibration, every pixel indexed stored using combination structures. Following users' queries, selectively retrieved secondary such as atmospheric correction, compositing, performed specified. The divided two stages, first involves calibration and, results no loss information. second stage retrieval appropriate subsets application user. This scheme storage sensors without any information therefore, assimilation multiple sensors. User later needed.