Abstract: Embodiments herein provide a method and system for a vicarious calibration of optical data from satellite sensors for urban scene flat fields. Identifying test sites automatically in the urban scene helps in vicarious calibration or on-board calibration of the hyperspectral/multispectral image. An internal average relative reflectance is calculated to get a relative reflectance of the image. Band ratios for various pixels is determined to assess flatness of the spectrum. Flat field candidates are identified from the various pixels having average band ratio nearing zero and a morphological technique is applied to determine a flat field. Finally, the image is calibrated vicariously based on the determined flat field as a test site. The on-board calibration of the remote sensing image may lead to a faster way to get the reflectance image of the scene, with the help of the calibration constants.

Abstract: The embodiments of present disclosure herein address problem of urban metabolism with respect to water demand and carbon dioxide emissions, the discussion is based on the reported data by the urban areas. The embodiments herein provide a method and system for estimating urban metabolism based on remotely sensed data. The system is configured to develop a model for identifying correct features from image or proxy features from image and then develop/use relation between the image feature or proxy feature from the image with the urban metabolic parameter. Further, the system develops an urban growth model which predicts spatial extent of the given proxy features. The urban growth scenario for each such conditions is different. By changing conditions of the model, different growth scenarios are played out. For each scenario, at least one urban metabolic parameter is predicted by taking output of the urban growth predictor.