Full text: Proceedings of the Symposium on Global and Environmental Monitoring (Pt. 1)

It’s useful for study the vegetation’s phenomenological status, for example: phenomenological status of rice 
(two main types) 
Based on it further we can forecast the crop. In case to differ the deciduous forest and barren land 
multitemporal data is useful, during broadleaf season on image two above objects appear look like each other 
but on image taken not in broadleaf season they are different. We can detect and study the changes of 
dynamic object or process. 
Based on above typical spectral reflectance curves (fig 3) for main object group we can choose the band or 
band combination for differing or detecting certain object. 
Using multiresolution data has an effect shown in table 1.

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