Kronos: A software system for the processing and retrieval of large-scale AVHRR data sets

Citation
Zy. Zhang et al., Kronos: A software system for the processing and retrieval of large-scale AVHRR data sets, PHOTOGR E R, 66(9), 2000, pp. 1073-1082
Citations number
59
Categorie Soggetti
Optics & Acoustics
Journal title
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
ISSN journal
00991112 → ACNP
Volume
66
Issue
9
Year of publication
2000
Pages
1073 - 1082
Database
ISI
SICI code
Abstract
Raw remotely sensed satellite data have to be processed and mapped into a s tandard projection in order to produce a multitemporal data set which can t hen be used for regional or global Earth science studies. However, traditio nal methods of processing remotely sensed satellite data have inherent limi tations because they are based on a fixed processing chain. Different users may need the data in different forms with possibly different processing st eps; hence, additional transformations may have to be applied to the proces sed data, resulting in potentially significant errors. Ln this paper, we de scribe a software system, Kronos, for the generation of custom-tailored pro ducts from the Advanced Very High Resolution Radiometer (AVHRR) sensor. it allows the generation of a rich set of products that can be easily specifie d through a simple interface by scientists wishing to carry out Earth syste m modeling or analysis. Kronos is based on a flexible methodology and consi sts of four major components: ingest and preprocessing, indexing and storag e, a search and processing engine, and a Java interface. After geo-location and calibration, every pixel is indexed and stored using a combination of data structures. Following the users' queries, data are selectively retriev ed and secondary processing such as atmospheric correction, compositing, an d projection are performed as specified. The processing is divided into two stages, the first of which involves the geo-location and calibration of th e remotely sensed data and, hence, results in no loss of information. The s econd stage involves the retrieval of the appropriate data subsets and the application of the secondary processing specified by the user. This scheme allows the indexing and the storage of data from different sensors without any loss of information and, therefore, allows assimilation of data from mu ltiple sensors. User specified processing can be applied later as needed.