--- Start of Idrisi List message G'day everyone, I have an interesting problem (at least to me). I wish to share it with you all and request you for help/ any hint/ leads on the following issue. On the basis of unsupervised classifcation, I got a classification accuracy of about 92-95%. This classification also showed the change of about 8% in tree cover on a 5 yr monitoring cycle. This is a situtation where detected change and the misclassification errors are of comparable/ reltively significant magnitude. Reducing error through ground truth is not possible due to limited (already used) historical data available. The issues before me are: 1. What should I do in such a case? 2. Does it mean that in such cases, it is not possible to reliably monitor tree cover changes over small time periods? Any suggestions to deal with this situtation? 3. Is it possible to construct some examples of what period would need to elapse before the effects of misclassification became negligible relative to real change? I am at a loss to think of anything else than blaming the lack of sufficient historical data for ground truthing. Many many thanks in advance for your help. Cheers. Vivek Vivek K.Varma Department of Forestry Institute of Land and Food Resources University of Melbourne, Vic. 3010 Australia Phone: +(61) 3 8344 5238 (Work); +(61) 3 9383 3417 (Home) FAX: +(61) 3 9349 4172 Web site: http://www.GeoCities.com/RainForest/Vines/5953/index.htm --- End of Idrisi List message IDRISI-L is an unmoderated list. As a service to list users, please post a summary of useful responses to your questions. To post a message to IDRISI-L, send it to [EMAIL PROTECTED] To subscribe to the list, send an email from the address to be subscribed to [EMAIL PROTECTED] with "subscribe" (without quotes) as the first line of the message body. To unsubscribe, do the same, only with "unsubscribe" as the first line of the message body.
