Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/36273| Title: | Assessment of drought and soil moisture relationship: a case study in Cyprus using geospatial data | Authors: | Neofytou, Eleni Eliades, Marinos Neophytides, Stelios P. Papoutsa, Christiana Kontoes, Charalampos Hadjimitsis, Diofantos G. |
Major Field of Science: | Natural Sciences | Field Category: | Earth and Related Environmental Sciences | Issue Date: | 19-Sep-2025 | Source: | Proceedings Volume 13816, Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025) | Start page: | 1 | End page: | 9 | Conference: | Eleventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2025) | Abstract: | Limited precipitation events may result in soil moisture depletion and to an overall water scarcity over a catchment areas. Forest productivity and functioning are severely influenced by drought conditions, which in some cases can even result in tree mortality. Thus, monitoring drought conditions in forested areas is essential given their critical environmental importance. The aim of this research is to identify drought events occurred in forested areas in the semi-arid island of Cyprus and its relationship with soil moisture at different depths using geospatial data. The current study used the 3-month period Standardized Precipitation Evapotranspiration index (SPEI) data for drought monitoring and GLDAS datasets, for soil moisture depths of 0-10cm, 10-40cm, 40-100cm and 100-200cm. A correlation analysis was performed to observe the relationship of SPEI with the different soil moisture depths. Pearson correlation analysis showed moderate to strong positive (0.325-0.549) linear relationship between SPEI and soil moisture at different depths with the correlation becoming stronger at deeper soil profiles. Spearman correlation analysis showed a weak to moderate positive monotonic relationship (0.294-0.439) with the correlation becoming stronger at deeper soil profiles. | URI: | https://hdl.handle.net/20.500.14279/36273 | DOI: | 10.1117/12.3073245 | Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International | Type: | Conference Paper | Affiliation : | ERATOSTHENES Centre of Excellence Cyprus University of Technology National Observatory of Athens |
Funding: | The authors acknowledge the ‘EXCELSIOR’: ERATOSTHENES: EXcellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu). The ‘EXCELSIOR’ project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 857510 and from the Government of the Republic of Cyprus through the Directorate General for the European Programmes, Coordination and Development as well as the Cyprus University of Technology. | Publication Type: | Peer Reviewed |
| Appears in Collections: | EXCELSIOR H2020 Teaming Project Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 138160H.pdf | 823.13 kB | Adobe PDF | View/Open |
CORE Recommender
Page view(s)
92
Last Week
1
1
Last month
18
18
checked on Jun 5, 2026
Download(s)
18
checked on Jun 5, 2026
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License

