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Remote sensing and image interpretation

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TLDR
In this article, the authors present a textbook for introductory courses in remote sensing, which includes concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; air photo interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.
Abstract
A textbook prepared primarily for use in introductory courses in remote sensing is presented. Topics covered include concepts and foundations of remote sensing; elements of photographic systems; introduction to airphoto interpretation; airphoto interpretation for terrain evaluation; photogrammetry; radiometric characteristics of aerial photographs; aerial thermography; multispectral scanning and spectral pattern recognition; microwave sensing; and remote sensing from space.

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Study of heavy metal contamination in river floodplains using the red-edge position in spectroscopic data

TL;DR: In this paper, the red-edge position (REP) of vegetation spectra was used to provide information on soil contamination by heavy metals in river floodplains, and a significant negative correlation between the REP and heavy metal concentration was found.
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Recent advances in focused ion beam technology and applications

TL;DR: Focused ion beam microscopes are extremely versatile and powerful instruments for materials research as discussed by the authors, when coupled in a system with a scanning electron microscope, offer the opportunity for novel sample imaging, sectioning, specimen preparation, three-dimensional (3D) nano-to- macroscale tomography, and high resolution rapid prototyping.
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A comparison of the classification of wetland characteristics by linear spectral mixture modelling and traditional hard classifiers on multispectral remotely sensed imagery in southern India

TL;DR: In this paper, a soft classification method based on linear spectral mixture modelling (LSMM) was proposed to map and monitor the coastal wetland ecosystems of southern India, using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper (TM) image data.
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Using NDVI to assess vegetative land cover change in central Puget Sound.

TL;DR: It is concluded that large areas within most watersheds are continually and heavily impacted by the high levels of human use and development over short time periods.
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Satellite NDVI Assisted Monitoring of Vegetable Crop Evapotranspiration in California’s San Joaquin Valley

TL;DR: Temporal profiles of Fc, Kcb, and ETcb were thus developed for the study fields, along with estimates of seasonal water use, and prior relationships developed by weighing lysimeter were used to transform Fc to fraction of reference evapotranspiration.