Hi all, Looking for existing methods on the use of different sensors for changes detection, especially in forest environment. Numerous techniques exist on single sensor (image differencing, regression, ratioing, PCA, change vector, vegetation index differencing, classification combination...etc), whever it is high or low resolution (HRSD or LRSD). The litterature is however richer on high resolution approach. Anything on a method using both high and low resolution ? Problem : measuring (or quantifying) changes on HRSD with a good accuracy, and using LRSD to extrapolate... Thanks in advance for your comments or references. SCOT CONSEIL Earth Observation Consultancy Services Parc du Canal, 1 rue Hermes 31526 Ramonville Cedex France Phone : +33 61 39 46 00 Fax : + 33 61 39 46 10 e-mail : hjj@scotc.cnes.fr
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