Meet Inspiring Speakers and Experts at our 3000+ Global Conference Series Events with over 1000+ Conferences, 1000+ Symposiums
and 1000+ Workshops on Medical, Pharma, Engineering, Science, Technology and Business.

Explore and learn more about Conference Series : World's leading Event Organizer

Back

Irena Ymeti

Irena Ymeti

University of Twente, The Netherlands

Title: Monitoring the effect of drying-wetting cycles on soil aggregate breakdown using SPECIM hyperspectral camera

Biography

Biography: Irena Ymeti

Abstract

To 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.