We are glad to welcome Maria Suárez Moreno, who is visiting us for a week to train in the use of various algorithms for palaeo-river detection, developed by Hèctor A. Orengo (ICREA research professor at ICAC). Among these algorithms, there are the MSRM (Orengo and Petrie 2018), the SMTVI (Orengo and Petrie 2017) and other experimental methods.
Maria graduated in Environmental Sciences (2015) with a strong interest in soil sciences and agriculture, which led her to complete an MSc in Agricultural Chemistry (2016) at the Autonomous University of Madrid. After moving to the UK, she decided to specialise in digital agriculture with an MSc in GIS and Environmental Management (2019), provided by the University of Brighton.
Her experience has been developed abroad to help adopt sustainable practices concerning environmental and agricultural matters both in the UK and India. She’s professionally focused on data science and rural development, and committed to promoting food security as well as resilience in local communities.
At the University of Cambridge, she is working on the TIGR2ESS project which combines archaeological approaches with insights from agronomy to support sustainable farming systems in South Asia.
We hope you have an enjoyable and productive stay with us!
References:
· Orengo, H.A. and Petrie, C.A. 2017. Large-scale, multi-temporal remote sensing of palaeo-river networks: a case study from northwest India and its implications for the Indus Civilisation. Remote Sensing, 9(7): 735. https://doi.org/10.3390/rs9070735
· Orengo, H.A. and Petrie, C.A. 2018. Multi-Scale Relief Model (MSRM): a new algorithm for the visualisation of subtle topographic change of variable size in digital elevation models. Earth Surface Processes and Landforms, 43(6): 1361-9. https://doi.org/10.1002/esp.4317
