Remote sensing is providing rich land related information. However, over the time new concepts arise such as Multi-temporal VS Hyper temporal Remote Sensing. Thanks for your contribution.
I think we can elaborate this concept from another concept i.e. multi-spectral vs hyper-spectral remote sensing. In multi-spectral remote sensing, general or standard bands (4-10) of electromagnetic spectrum with wider bandwidth are used to scan earth features, while in hyper-spectral remote sensing, bandwidth of bands is drastically reduced and number of bands are increased exceptionally (up to hundreds) to record very minute spectral characteristics of an object. The selection of the technique is based on user requirement. In a similar way, multi-temporal remote sensing records different time states of an objects with a broader time interval to identify considerable changes in objects. On the other hand in hyper-temporal remote sensing, time states of objects are recorded with very narrow time spans in order to detect very tinny changes in objects. Applications of both methods may vary with user requirements and working themes. For example, in climate and environment related studies multi-temporal remote sensing is enough and for urban studies like monitoring waste in urban streets, hyper-temporal technique will be more desirable. In other words we can also say that hyper-temporal remote sensing is a way to sense change in near real time phenomena.
Hyper-temporal method gives us greater number of time states of an object as compared to multi-temporal method. With the availability of very high spatial resolution images, trend is moving towards hyper-temporal remote sensing but in order to work with it, most powerful computing technology and highly sophisticated algorithms are needed. Actually the hyper-temporal concept relates to the concept of "Big Data".
Thanks for responding and initiating the discussion in a very good manner. Much appreciated. Let us see who else dare to contribute with relevant knowledge and experience on the subject.
It would be interesting to see a matrix of temporal (hyper and multi) vs spatial resolution applications. If anyone has a referral to such a paper I'd like to read it.