Particle Size Sampling and Object-Oriented Image Analysis for Field Investigations of Snow Particle Size, Shape, and Distribution
| Autor: | Susanne Ingvander, Cecilia Johansson, Per Holmlund, Ian A. Brown, Peter Jansson, Gunhild Rosqvist |
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| Rok vydání: | 2013 |
| Předmět: |
Global and Planetary Change
010504 meteorology & atmospheric sciences Sampling (statistics) 02 engineering and technology Albedo 021001 nanoscience & nanotechnology Snow 01 natural sciences Particle-size distribution Digital image processing Data analysis Environmental science Particle size Image analysis 0210 nano-technology Ecology Evolution Behavior and Systematics ComputingMethodologies_COMPUTERGRAPHICS 0105 earth and related environmental sciences Earth-Surface Processes Remote sensing |
| Zdroj: | Arctic, Antarctic, and Alpine Research. 45:330-341 |
| ISSN: | 1938-4246 1523-0430 |
| DOI: | 10.1657/1938-4246-45.3.330 |
| Popis: | Snow particle size is an important parameter strongly affecting snow cover broadband albedo from seasonally snow covered areas and ice sheets. It is also important in remote sensing analyses because it influences the reflectance and scattering properties of the snow. We have developed a digital image processing method for the capture and analysis of data of snow particle size and shape. The method is suitable for quick and reliable data capture in the field. Traditional methods based on visual inspection of samples have been used but do not yield quantitative data. Our method provides an alternative to both simpler and more complex methods by providing a tool that limits the subjective effect of the visual analysis and provides a quantitative particle size distribution. The method involves image analysis software and field efficient instrumentation in order to develop a complete process-chain easily implemented under field conditions. The output from the analysis is a two-dimensional analysis of ... |
| Databáze: | OpenAIRE |
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