Day-by-day the satellite data utility is increasing in the fields of urban planning, forestry studies, climate studies, draught estimations and for effective management when natural disasters occurred and this utility may be from state , central government or private organisations. For urban, forestry, climate studies temporal data is more useful and consequently there is huge requirement of older Indian Remote Sensing Satellite (IRS) data from user community for the study of above applications. Also photogrammetric processing levels may be different depending on their application. But after development of physical sensor model satellite vendors are using(Rational polynomial coefficients(RPC) based generic software for any photogrammetric processing but in the data product generation chain rad-ortho kit(raw product with RPC’s file and metadata file which gives the information about the data) products are not available for older Indian Remote Sensing Satellites (IRS) IRS-1C/1D.In this paper developed methodology for the generation of RPC’s based on the physical sensor model namely line of sight (LOS)model and applied on IRS-1C/1D,LISS-III sensor data but in this paper only IRS-1C LISS-III sensor results are published due to similarity of results and sensors of IRS-1C/1D.

LOS model Rad-ortho kit RPC Raw product RMS.