Technological advancement and increasing availability of high-resolution satellite images, offer the potential for more accurate analyses, by which the detection and quantification of changes could improve greatly. Such remotely-sensed products are expensive and difficult to acquire, which not only prohibits but restricts their use to minimum. This paper aspires to create a reference repository of cloud free satellite images using data received from on board optical sensors of Indian Remote Sensing satellite. By treating the received data with radiometric and geometric correcting processes at various levels, clear images are generated to user environment for early detection of anomalies, mostly during the first level of processing itself. A reference repository will be created using radio-metric cloud free sub-sampled raw images of size 1K x1K, along with terrain classification tags. Despite, the reference repository framed can be used for developing reference based change algorithms and alerting data product generation system for scene specific corrections, radiometric imbalances, product quality degradation etc. The created reference repository in this paper contains abundant database with spatial data types, data structures and features. Also the sample is suitable for queries on geographic applications and may be utilized in clarifying knowledge-based queries, as a part of User Order Processing System (UOPS).

Push-Broom Sensors Remote Sensing and Path-Row based referencing scheme Scene IRS- Indian Remote sensing Resourcesat-2.