I am seeking some suggestions about time series image classification techniques. I am trying to calculate "Forest Stand" ( pant/vegetation species) within a study area ( a part of amazon rain-forest), and also identify changes in last 10 years. I do know some basic stuff about image classification (supervise and unsupervised) and change detection techniques. I wonder if there is any efficient method to accomplish my task. I have following specific questions:
1. Which satellite imagery and what resolution would be best for this analysis?
2. How to perform a supervise classification to time series (historic) images (is it possible without ground control points) ?
I will appreciate if someone can provide me some guidance or point me to relevant resources.
Thanks you !