Publication at Geosciences: Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors
Read full publcation here: https://www.aimspress.com/article/10.3934/geosci.2024044?viewType Abstract Sensors are prone to malfunction, leading to blank or erroneous measurements that cannot be ignored in most practical applications.
Read MorePublication: Assessing AgERA5 and MERRA-2 Global Climate Datasets for Small-Scale Agricultural Applications
Read the full publication here: https://www.mdpi.com/2073-4433/16/3/263 Abstract AgERA5 (ECMWF) is a relatively new climate dataset specifically designed for agricultural applications. MERRA-2 (NASA) is also used
Read MorePublication at Soil Systems – November 2025
🌱📢Proud to share a 𝗻𝗲𝘄 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 from the 𝗚𝗜𝗦 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗨𝗻𝗶𝘁 at the Agricultural University of Athens (gis.aua.gr) in 𝘚𝘰𝘪𝘭 𝘚𝘺𝘴𝘵𝘦𝘮𝘴! 𝘼𝙨𝙨𝙚𝙨𝙨𝙢𝙚𝙣𝙩 𝙤𝙛 𝙩𝙝𝙚 𝘼𝙘𝙘𝙪𝙧𝙖𝙘𝙮
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Poster at IAHS 2025: Assessing the impact of uncertainty in global soil property datasets on soil erosion predictions.
View Poster and Poster Abstract
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Poster Presentation at the 5ᵗʰ Congress of Geographical Information Systems and Spatial Analysis in Agriculture and Environment
Spatially Explicit Digital Twin of the Greek Agro-Hydro-System DT-Agro This paper presents the DT-Agro project which aims to develop a spatially defined Digital Twin of
Read MorePresentation at the EGU 2024
SCS-CN parameter determination from observed rainfall runoff data. A critical review. Konstantinos Soulis, Stergia Palli Gravani, and Dionissios Kalivas Agricultural University of Athens, Natural Resources
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Publication at Geosciences: Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors
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Publication: Assessing AgERA5 and MERRA-2 Global Climate Datasets for Small-Scale Agricultural Applications
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Publication at Soil Systems – November 2025
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Publication at Geosciences: Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors
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Presentation at the EGU 2024
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Poster at IAHS 2025: Assessing the impact of uncertainty in global soil property datasets on soil erosion predictions.
