The Use of Remote Sensing Systems for Acquiring Data for Environmental Management Purposes. Report 1. A Procedure for Predicting Image Contrasts in Photographic Remote Sensor Systems


Book Description

Airborne remote sensors provide a potentially expedient technique for obtaining environmental data for baseline descriptions of multi purpose military installations or of impact of activities on the environment within a reasonable time and cost framework. Although the feasibility of using remote sensing techniques for these purposes has been demonstrated, the acquisition of imagery of sufficient quality to provide the necessary data for the many and diverse environmental features and phenomena of interest requires systematic and quantitative planning. This report presents an analytical procedure (referred to herein as the remote sensing simulation model) that provides a means for selecting a sensor system and mission profile objectively to enhance imagery for specific purposes. The model is computerized and calculates the amount of contrast that will occur between two features of interest on a photographic image as a function of reflectance properties of materials, atmospheric conditions, solar zenith angle, sensor altitude, and sensor characteristics. Illustrations of model application to two hypothetical problems are given. The remote sensing simulation model provides a general tool for acquisition of photographic remote sensing techniques and evaluation of the applicability of these techniques to specific or general problem areas.

























The Use of Remote Sensing Systems for Acquiring Data for Environmental Management Purposes. Report 3. A Nomogram for Computing Optical Density Contrast


Book Description

Previous efforts as part of this program resulted in a new capability for predicting photographic-image optical density contrasts. The product of the efforts was a computerized system model that provides a rigorous, quantitative means of objectively selecting a sensor system and mission profile to enhance the success of a remote sensing data acquisition program. The execution of the model requires computer facilities and specialized personnel. A graphical form of the model was developed to provide a simple planning tool that can be applied by users having a wide range of backgrounds and without computer facilities. This report presents a nomogram for predicting optical density contrasts on aerial photographs. The concept and formulation of the nomogram are discussed and an example of its application presented. The accuracy of the nomogram with respect to the computer program from which it was derived is also evaluated. (Author).