Assessing the groundwater quality of El Fahs aquifer (NE Tunisia) using multivariate statistical techniques and geostatistical modeling
This study is the first attempt to characterize the quality status of El Fahs aquifer by
combining graphical tools, multivariate statistical techniques and traditional geostatistical …
combining graphical tools, multivariate statistical techniques and traditional geostatistical …
[HTML][HTML] Identification of feasible regions for managed aquifer recharge in the Republic of Cyprus using a co-participative multi-criteria decision analysis
CF Panagiotou, S Eisenreich, OT Barouta… - Groundwater for …, 2024 - Elsevier
This study proposes an integrated approach that aims at finding locations which are eligible
for Managed Aquifer Recharge (MAR) installation in Cyprus via the active involvement of …
for Managed Aquifer Recharge (MAR) installation in Cyprus via the active involvement of …
[HTML][HTML] A generalized machine learning approach for cost-effective monitoring of irrigation suitability: A demonstration case in El Fahs aquifer (Tunisia)
This study develops and evaluates the performance of machine learning (ML) regression
models, namely the Support Vector Regression (SVR), Random Forest (RF), k-Nearest …
models, namely the Support Vector Regression (SVR), Random Forest (RF), k-Nearest …
The challenge of identifying dust events in a highly polluted Eastern Mediterranean region
I Rogozovsky, A Ansmann, H Baars… - Science of The Total …, 2024 - Elsevier
Dust pollution largely impacts our environment, health and well-being. However, there is no
agreement on how dust-contaminated days are identified to study exposures, as methods …
agreement on how dust-contaminated days are identified to study exposures, as methods …
Geoinformation Technology in Support of Arctic Coastal Properties Characterization: State of the Art, Challenges, and Future Outlook
Climate change is increasingly affecting components of the terrestrial cryosphere with its
adverse impacts in the Arctic regions of our planet are already well documented. In this …
adverse impacts in the Arctic regions of our planet are already well documented. In this …
Improved water resources management for smart farming: a case study for Cyprus
Water-scarce areas are threatened by climate crisis and, thus, there is an urgent need for
optimizing water resources management. Remote sensing has been widely used for …
optimizing water resources management. Remote sensing has been widely used for …
[HTML][HTML] Temporal Dynamics of Global Barren Areas between 2001 and 2022 Derived from MODIS Land Cover Products
Long-term monitoring studies on the transition of different land cover units to barren areas
are crucial to gain a better understanding of the potential challenges and threats that land …
are crucial to gain a better understanding of the potential challenges and threats that land …
What do Long-Term Satellite Data Reveal about Forest Dynamics in the Paphos Forest?
This study examines the long-term dynamics of the Paphos forest in Cyprus using Landsat
satellite data for Vegetation Indices (VIs), MODIS data for evapotranspiration, and CHIRPS …
satellite data for Vegetation Indices (VIs), MODIS data for evapotranspiration, and CHIRPS …
Estimation of crop yield using deep learning for precision agriculture
SP Neophytides, G Guerissi… - … on Remote Sensing …, 2024 - spiedigitallibrary.org
Precision agriculture is the application of correct amount of fertilizers and water pesticide to
achieve higher agricultural productivity. Furthermore, under the framework of precision …
achieve higher agricultural productivity. Furthermore, under the framework of precision …
Tree-based explainable clustering for drought severity predictions in United States
Climate change drives the environment to more extreme weather events. Increased air, land
surface and canopy surface temperatures affect the industry of agriculture in different ways …
surface and canopy surface temperatures affect the industry of agriculture in different ways …