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Volume 6, Issue 6 (Suppl)
J Geol Geophys, an open access journal
ISSN: 2381-8719
Soil Science 2017
December 04-05 2017
Page 34
conference
series
.com
December 04-05, 2017 | Madrid, Spain
Annual Congress on
SOIL SCIENCES
Irena Ymeti, J Geol Geophys 2017, 6:6(Suppl)
DOI: 10.4172/2381-8719-C1-013
Monitoring the effect of drying-wetting cycles on soil aggregate breakdown using SPECIM
hyperspectral camera
T
o monitor soil surface changes, such as aggregate breakdown, it is important to understand the interaction between soil
surface and the surrounding environment at high temporal resolution. Within different spatial, temporal and spectral
resolution remote sensing (RS) provides continuous data that are suitable for assessment and monitoring of environmental
conditions. Using a SPECIM hyperspectral camera under laboratory conditions at a micro-plot scale, we aim to detect and
estimate soil aggregate changes over time. We designed an indoor experiment by exposing triplicates of four soils susceptible
to detachment (silty loam with various amount of organic matter content and silty loam mixed with hematite) to drying, field
capacity and wetting conditions. Twelve soil samples were kept at field capacity for the entire period that the experiment ran.
The rest of soil samples were imposed to drying and wetting conditions which were alternated with field capacity condition
every three days. All the soil samples were scanned with the SPECIM hyperspectral camera each three days. We collected
images data from April to June 2016. When an image has a sufficient high spatial resolution, pixels are smaller than the object
so grouping of pixels is possible in order to obtain real-world homogeneous features. Therefore, object-based image analysis
(OBIA) is a suitable approach for soil aggregate change detection. However, finding an appropriate method for monitoring
soil aggregate breakdown using object-based image analysis for hyperspectral data is required. Moreover, our focus will be on
quantifying soil aggregate break down over time using hyperspectral imagery.
Biography
Irena Ymeti is following the PhD program at the Earth Systems Analysis department at ITC, University of Twente, The Netherlands and working on monitoring soil
aggregate breakdown using remote sensing technology. She started to work at the Institute of Geosciences, Energy, Water and Environment at the Polytechnic University
of Tirana, Albania building a geo-information (GIS) and RS laboratory for processing and analyzing data for earth science applications.
i.ymeti@utwente.nlIrena Ymeti
University of Twente, The Netherlands