Different agroforestry landuse systems is prevalent in tropical countries, however there is lacking of assessment of areas due to standard satellite procedure.
Therefore it is requested to comment which classification is good.
I am not sure if the Agro Forestry areas in India are that large that we need remote sensing data in the true sense of the term Agroforestry and not wood crops like Eucalyptus. In any case the best method is to establish satellite signatures confirmed by ground truth studies to back up. Care should be taken at the signature establishment stage as there will be many similar signatures. Best of luck.
Estimation of area under agroforestry using high resolution satellite data ( Agroforestry Systems, April 2016, Volume 90, Issue 2, pp 289–303)
Abstract : Agroforestry is an integrated self-sustainable land use management system that is not only capable of producing food from marginal agricultural land but also capable of maintaining and improving the quality of environment. It plays a vital role in achieving integrated rural and urban development. But reliable data on area under agroforestry is not available as methodology for estimation of area under agroforestry is not yet standardized. In this paper, we propose to use remote sensing techniques for estimation of area under agroforestry using high resolution satellite data. Area under agroforestry in Ludhiana district of Punjab State, India has been estimated using the proposed methodology. Land use/land cover map of the district has also been generated using ERDAS IMAGINE software. It has been observed from the accuracy assessment that the estimate of area under agroforestry obtained using the proposed methodology under this study is reliable. Further, area under agroforestry has been classified into detailed classes within agroforestry.