The problem of (better) exploiting long-term satellite image databases is not yet resolved. Meanwhile the continuous growth of satellite data is generating an unprecedented increase in data types and volume. All this makes unrealistic to proceed with the current, mainly manual, image processing. Therefore the upcoming challenge is to find new methods permitting in near real-time to store and access large data volumes and to simplify or even automate the extraction of meaningful information for application domains, such as Land Use / Land Cover Change (LU/LCC) mapping. In the framework of the ESA Support by Pre-classification to Specific Applications (SPA) project a fully automatic LU/LCC application (initially named (A)ATSR Land Classification System (ALCS)) known as Multi sensor Evolution Analysis (MEA) system, has been implemented and tested. MEA data store is built using 15 years of ATSR2-AATSR data (C1P 4713,C1P 5016).

Multi sensor Evolution Analysis (MEA): Land use and land cover analysis applied to (A)ATSR time series.

BECCATI, Alan;
2010

Abstract

The problem of (better) exploiting long-term satellite image databases is not yet resolved. Meanwhile the continuous growth of satellite data is generating an unprecedented increase in data types and volume. All this makes unrealistic to proceed with the current, mainly manual, image processing. Therefore the upcoming challenge is to find new methods permitting in near real-time to store and access large data volumes and to simplify or even automate the extraction of meaningful information for application domains, such as Land Use / Land Cover Change (LU/LCC) mapping. In the framework of the ESA Support by Pre-classification to Specific Applications (SPA) project a fully automatic LU/LCC application (initially named (A)ATSR Land Classification System (ALCS)) known as Multi sensor Evolution Analysis (MEA) system, has been implemented and tested. MEA data store is built using 15 years of ATSR2-AATSR data (C1P 4713,C1P 5016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1408589
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