Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..227b&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
Crop Discrimination, Envisat, Wide Swath-Asar, Coarse Spatial Resolution
Scientific paper
This experimental study was carried out in the framework of the DUP project "Dedicated Remote Sensing Product Generation for the Agro-Industry: Cereal Case" leaded by Synoptics b.v. (NL). The main objective is to investigate the potential contribution of the ENVISAT images for the discrimination of the main crops at a regional scale. ASAR Alternating Polarisation (AP and Wide Swath (WS) modes have been simulated from 15 ERS images over Belgium. A quantitative approach was completed using 791 parcels corresponding to the following crops: winter wheat, winter barley, spring wheat, spring barley, grasses, sugar beet, maize and potato. The impact of the spatial resolution of the ASAR sensor is assessed through the comparison of the results obtained for the AP (30m) and WS (150m) modes with regards to the field size. Both pixel-based and parcel-based unsupervised classification approaches have been applied. Dedicated interpretation schemes were developed for specific crop discrimination. The promising results obtained from the 150-m ASAR signal are expected to be further enhanced by the very high acquisition rate of the WS mode, i.e. an acquisition every 3 to 5 days.
Blaes X.
Defourny Pierre
Holeck F.
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