The Adam Database and its Potential to Investigate High Temporal Sampling Acquisition at High Spatial Resolution for the Monitoring of Agricultural Crops
Résumé
The ADAM project (Assimilation of Spatial Data within Agriculture Models) was aiming at the development and evaluation of methods capable of exploiting high revisit frequency and high spatial satellite observations. The intensive experimental campaign conducted in 2000-2001 over wheat crops yielded a unique database where frequent satellite observations at high spatial resolution in the solar and microwave domains were made concurrently to ground characterization of the soil and the canopy and their functioning. This includes 39 SPOT i mages, 15 Radar (ERS and RadarSat) images, soil permanent characteriz ation, frequent canopy leaf area index, biomass, soil water and nitrogen contents, as measured over 42 elementary sampling units (ESU). This intensive campaign will be followed in 2002 and 2003 by lighter campaigns where a reduced number of ESUs will be sampled, and a reduced number of SPOT scenes will be acquired. The objective of this paper is to present the ADAM experiment and the database generated, along with few examples illustrating its potentials. The ADAM database, freely accessible to the scientific community, is also described. Finally, conclusions are drawn on the problems associated to the exploitation of dense time series of images acquired by different sensors. A discussion is made on the potential exploitation of such a database.
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