Interactive analysis of time series of (A)ATSR Top Of Atmosphere calibrated maps
Stefano Natali(1), Sergio D'Elia(2), Andrea Della Vecchia(2) and Andrea Baraldi(3)
(1) MEEO Srl, Strada Luisa, 8, 44020 San Giovanni di Ostellato, Ferrara, Italy
(2) ESA/ESRIN, Via Galilei, 00044 Frascati, Rome, Italy
(3) European Commission Joint Research Centre, Via Fermi 1, I-21020, Ispra (Va), Italy
The availability of long image time series allows, in principle, also analysis of changes. However, at least three problems often discourage such analysis:
• Real on-line unavailability of historical data
• Mapping of the different images on a common grid
• Lack of an objective (non user-dependent) analysis system
In the framework of the ESA project “Classification Application-services and Reference Datasets” (CARD), these three problems have been addressed and some of the possible solutions identified for the twelve years of ATSR-2/AATSR acquisitions.
CARD creates and makes available online a database of pre-classification maps, generated via the SOIL MAPPER® software from ATSR-2/AATSR acquisitions. In order to cross compare the pre-classification maps derived from the images acquired at different times and orbits, a remapping should be performed over an Earth-fixed grid. An interactive analysis system of the available time series of pre-classification maps requires the possibility to define (and apply in different space and time regions) evolution models, modeling the evolution over time of the pixel in the feature (classes/strata) domain.
Thanks to the SOIL MAPPER® common output (pre-classification maps) across a number of missions, also multi-sensor applications could be supported, if nested Earth-fixed grids are defined for higher resolution sensors.
The implemented image pre-processing chain is here presented, together with status and preliminary results of developments in the direction of supporting bi-multi temporal image information mining.
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,