please, i want to required you that i want to perform land cover classification based on modis ndvi time series data with 12 years ndvi time series data with the help of machine learning algorithms such as svm and rf and kNN.
I used MOD13Q1 MODIS product 250 m with 16 days, in totally i have 276 ndvi features / bands. how to applied feature selection model for these 276 NDVI features/bands. I point is how can i applied an appropriate feature selection method in order to perform my classification accuracy, additionally i got my professor paper he used a model wrapper called " Distance Time Warping " DTW. he said that search others methods ... please could you help out with that, sorry for the disturbing. thank for your supporting me in such hard time and given me your personnel knowledge, i will be very grateful best regards Eng. Saeed -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/57e659b1-d41f-42cd-be48-f6961e787bbfn%40googlegroups.com.
