there are many ....I worked on these things. You can look at one of my work, and the bibliography I used will give you more helps and tips
http://lcluc.umd.edu/
I think the NASA LCLUC change program is the place to start.
You have formulated your question rather broadly. Are you looking for land use change models? At what scale is your interest?
In any case, I recommend to look at the work from the LUCC (Land Use and Cover Change) network, and at its successor GLP (Global Land Project; www.globallandproject.org).
Apart from that, good starting points are a (somewhat outdated...) special issue in Agriculture, Ecosystems and Environment "Predicting Land Use Change", edited by Eric Lambin and Tom Veldkamp. A bok with the final findings from the LUCC from 2006 (Land-Use and Land-Cover Change: Local Processes and Global Impacts; Lambin and Geist editors).
If it is models that you are looking for, there are about a dozen good ones around. A good starting point for that is a paper from 2008:
Pontius Jr, R.G., Boersma, W., Castella, J.-C., Clarke, K., De Nijs, T., Dietzel, C., Duan, Z., Fotsing, E., Goldstein, N., Kok, K., Koomen, E., Lippitt, C.D., McConnell, W., Pijanowski, B., Pithadia, S., Sood, A.M., Sweeney, S., Trung, T.N., Veldkamp, A., Verburg, P.H. 2008. Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science 42(1) p.11-47
there is much more..
At the lab where I work the research team develops a software called "Dinamica EGO" which has been used by many researchers worldwide. In our website, you can view a list of publications related to the use of this software to simulate land use changes and many case studies related to it. www.csr.ufmg.br/dinamica.
Additionally, you can download the software for free, there is an online tutorial and some initial data for exercises and examples.
http://www.csr.ufmg.br/dinamica
There are some review articles which might be useful:
Hansen M.C., Loveland T.R., 2012. A review of large area monitoring of land cover change using Landsat data. Remote Sensing Environment 122, 66-74.
Weng Q., 2012. Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends. Remote Sensing Environment 117, 34-49.
Hussain M., Chen D., Cheng A., Wei H., Stanley D., 2013. Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS J. of Photogrammetry and Remote Sensing 80, 91-106.
https://www.researchgate.net/publication/46404945_Evaluating_Today%27s_Landscape_Multifunctionality_and_Providing_an_Alternative_Future_A_Normative_Scenario_Approach?ev=auth_pub
Article Evaluating Today's Landscape Multifunctionality and Providin...
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