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Low altitude aerial photograph for use in photogrammetry. Location: Three Arch Bay, Laguna Beach, California. Photogrammetry is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena.
1) Take photos from different angles: Ensure that many images are taken to capture the entire object. The amount of required images varies accordingly to the size and complexity of the object being captured. 2) Load images into Photomodeler software: Upload the images by any means on to the computer.
Spectrophotometry is a branch of electromagnetic spectroscopy concerned with the quantitative measurement of the reflection or transmission properties of a material as a function of wavelength. [2] Spectrophotometry uses photometers , known as spectrophotometers, that can measure the intensity of a light beam at different wavelengths.
Each photo covered two hundred and twenty-five square miles. One of its first government contracts was an aerial survey of New Mexico to study soil erosion. [20] A year later, Fairchild introduced a better high altitude camera with nine-lens in one unit that could take a photo of 600 square miles with each exposure from 30,000 feet. [21]
Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains , and it is widely applied in many areas of science and engineering.
Magnification is a ratio between the size of an object on a picture and its real size. Magnification can be a misleading parameter as it depends on the final size of a printed picture and therefore varies with picture size. A scale bar, or micron bar, is a line of known length displayed on a picture. The bar can be used for measurements on a ...
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Various basic measurements can be derived from the terrain surface, generally applying the techniques of vector calculus. That said, the algorithms typically used in GIS and other software use approximate calculations that produce similar results in much less time with discrete datasets than the pure continuous function methods. [ 8 ]
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