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http://hdl.handle.net/10609/147033
Títol: | Impacts of the urmia lake drought on soil salinity and degradation risk: an integrated geoinformatics analysis and monitoring approach |
Autoria: | Feizizadeh, Bakhtiar Omarzadeh, Davoud Salehi, Keyvan Blaschke, Thomas Makki, Mohsen |
Altres: | University of Tabriz Humboldt-Universität zu Berlin Universitat Oberta de Catalunya (UOC) University of Salzburg |
Citació: | Feizizadeh, B., Omarzadeh, D., Mohammadzadeh Alajujeh, K., Blaschke, T. & Makki, M. (2022). Impacts of the Urmia Lake Drought on Soil Salinity and Degradation Risk: An Integrated Geoinformatics Analysis and Monitoring Approach. Remote Sensing, 14(14), 1-26. doi: 10.3390/rs14143407 |
Resum: | Recent improvements in earth observation technologies and Geographical Information System (GIS) based spatial analysis methods require us to examine the efficiency of the different data-driven methods and decision rules for soil salinity monitoring and degradation mapping. The main objective of this study was to analyze the environmental impacts of the Lake Urmia drought on soil salinity and degradation risk in the plains surrounding the hyper-saline lake. We monitored the impacts of the lake drought on soil salinity by applying spatiotemporal indices to time-series satellite images (1990–2020) in Google Earth Engine environment. We also computed the soil salinity ratio to validate the results and determine the most efficient soil salinity monitoring techniques. We then mapped the soil degradation risk based on GIS spatial decision-making methods. Our results indicated that the Urmia Lake drought is leading to the formation of extensive salt lands, which impact the fertility of the farmlands. The land affected by soil salinity has increased from 2.86% in 1990 to 16.68% in 2020. The combined spectral response index, with a performance of 0.95, was the most efficient image processing method to assess soil salinity. The soil degradation risk map showed that 38.45% of the study area has a high or very high risk of degradation, which is a significant threat to food production. This study presents an integrated geoinformation approach for time-series soil salinity monitoring and degradation risk mapping that supports future studies by comparing the efficiency of different methods as state of the art. From a practical perspective, the results also provide key information for decision-makers, authorities, and local stakeholders in their efforts to mitigate the environmental impacts of lake drought and sustain the food production to sustain the 7.3 million residents. |
Paraules clau: | Google Earth Engine avaluació d'impactes ambientals seguiment de la salinitat del sòl cartografia de la degradació del sòl Urmia Lake Basin Iran |
DOI: | https://doi.org/10.3390/rs14143407 |
Tipus de document: | info:eu-repo/semantics/article |
Versió del document: | info:eu-repo/semantics/publishedVersion |
Data de publicació: | 15-jul-2022 |
Llicència de publicació: | http://creativecommons.org/licenses/by/4.0 |
Apareix a les col·leccions: | Articles cientÍfics Articles |
Arxius per aquest ítem:
Arxiu | Descripció | Mida | Format | |
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Impacts of the urmia lake drought on soil salinity and degradation risk an integrated geoinformatics analysis and monitoring approach.pdf | 9,16 MB | Adobe PDF | Veure/Obrir |
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