Ms Sofanit Girma Araya
Sofanit is a PhD candidate in the spatial information Group, Landscape Science, School of Earth and Environmental Sciences, The University of Adelaide. Her PhD research is with the upholding title :
"Digital soil mapping for sustainable agricultural productivity"
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.
Her project aims to study the soil condition (Water Holding Capacity) in terms of agricultural productivity using time series spatial information.
|2017||Araya, S., Ostendorf, B., Lyle, G. & Lewis, M. (2017). Remote Sensing Derived Phenological Metrics to Assess the Spatio-Temporal Growth Variability in Cropping Fields. Advances in Remote Sensing, 06, 03, 212-228.
|2016||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.
|2013||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 (MODSIM). Adelaide.|
The University of Adelaide Divisional Scholarship
Teaching Interest - Spatial information, GIS and remote sensing for environmental management
I have experience
- Demonstrating GIS for Agriculture and Environmental Management subjects at the University of Adelaide.
- Teaching GIS and map preparation and presentation courses at TAFESA
|2011 - ongoing||Member||SSSI||Australia|