Dr Sofanit Araya

Dr Sofanit Araya
 Position Postdoctoral Fellow
 Org Unit School of Civil, Environmental and Mining Engineering
 Email sofanitgirma.araya@adelaide.edu.au
 Telephone +61 8 8313 1231
 Mobile +61 4 2124 6747
 Location Floor/Room 1 25 ,  Engineering North ,   North Terrace
  • Biography/ Background

    Sofanit did her PhD in Spatial Sciences at the School of Biological Sciences , The University of Adelaide. Her PhD research is titled :

    "Multi Temporal Remote sensing for spatial estimation of PAWC of soils"

    The understanding of spatial and temporal yield variability is the key for better management of agricultural fields. The crop yield in arid and semi arid environment is highly dependent on the water availability. Vegetation condition is a good indicator of the soil and its interaction with the environmental factors such as rainfall. Time series analysis of MODIS imagery has been widely used for various agricultural related studies such as crop identification and yield estimation. However it hasn't been widely used for the understanding of the soil conditions underneath.

    The main focus of her PhD project was to study the soil condition (Water Holding Capacity) in terms of agricultural productivity using time series spatial information, which require extensive manipulation and analysis of multi-temporal vegetation index data. As part of the project a software package, "CropPhenology" has designed to extract crop's growth stage and condition from vegetation dynamics data in R computing environment.

    The CropPhenology software package is desinged as a tool for analysing multi temporal remote sensing imagery. It is a , a free, easy to use package designed in the R environment that enables flexibility and interoperability that allows users to progress from downloading remote sensing images to crop phenology analysis and visualisation with only minor processing steps. It is an inovative research outcome for promoting multi temporal remote sensing application in  agranomic and vegetation related resaerch works. 

    CropPhenology package is available at :https://github.com/SofanitAraya/CropPhenology, user manuals and other additional informationis available at http://cropphenology.wixsite.com/package.

    Sofanit is currently a postdoctoral researcher at the school of Civil, Environmental and Mining Engineering.

  • Qualifications

    PhD. Spatial sciences, The University of Adelaide, Adelaide, Australia

    MSc. Geoinformatics, ITC, Univeristy of Twente, Enschede, The Netherlands

    BSc. Geology and Geophysics, Addis Ababa University, Addis Ababa, Ethiopia


  • Teaching Interests

    Spatial information, GIS, Remote Sensing, Spatial Information for environmental management

  • Publications

    • Araya, S., Ostendorf, B., Lyle, G., Lewis, M., 2013. Crop phenology based on MODIS satellite imagery as an indicator of plant available water content, International Congress on Modelling and Simulation (20th: 2013: Adelaide, South Australia).
    • Araya, S., Ostendorf, B., Lyle, G. and Lewis, M., 2014. Time series satellite imagery for agricultural management, National Soil Sciences conference, A Patti, C. Tang and V. Wong (Melbourne, Australia).
    • Araya, S., Lyle, G., Lewis, M., Ostendorf, B., 2016. Phenologic metrics derived from MODIS NDVI as indicators for Plant Available Water-holding Capacity. Ecological Indicators 60, 1263-1272.

    • Araya, S., Ostendorf, B., Lyle, G. and Lewis, M., 2017. Remote Sensing Derived Phenological Metrics to Assess the Spatio-Temporal Growth Variability in Cropping Fields. Advances in Remote Sensing, 6, 212-228. 
    • Araya, S., 2017. Multi-temporal remote sensing for estimation of plant available water-holding capacity of soil. School of Biological Sciences. Adelaide, Australia, The University of Adelaide. PhD Thesis.
    • Araya, S., Ostendorf, B., Lyle, G. and Lewis, M., 2018. CropPhenology: An R package for extracting crop phenology from time series remotely sensed vegetation index imagery. Ecological Informatics 46: 45-56. 
    • Araya, S., Ostendorf, B., Lyle, G. and Lewis, M., 2018. CropPhenology software package, https://github.com/SofanitAraya/CropPhenology, http://cropphenology.wixsite.com/package . 
  • Professional Associations

    • Surveying and Spatial Sciences Institute (SSSI), Australia
    • Earth Observation Australia (EOS)


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Entry last updated: Thursday, 9 Aug 2018

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