Impervious Soil Surface Mapping, Recent Developments and New Opportunities for Utilization
DOI:
https://doi.org/10.5281/zenodo.10800846Keywords:
Geçirimsiz toprak yüzeyi, uzaktan algılama, haritalama, yapay zekâAbstract
Impervious soil surfaces have negative impacts on both rural areas and cities by disrupting the hydrological cycle, increasing runoff and reducing infiltration. Mitigating the negative impacts of impervious surfaces is crucial in stimulating resilient and livable environments for both rural and urban areas. The aim of this study is to review the recent advances in impervious soil surface mapping in urban areas by integrating remote sensing data and artificial intelligence applications based on the research on impervious soil surface monitoring and the opportunities for its use in land degradation studies. In this context, when the literature is reviewed, it is seen that the studies on the identification and digital mapping of impermeable soil surfaces have gained momentum both with the increase in high-resolution data sources in remote sensing and the assessment of large volumes of data in a short time and with high accuracy by artificial intelligence. New indices specific to impervious soil surfaces have been proposed, especially with remote sensing indices created with the synergy of multiple bands of optical satellite imagery, allowing spectral errors to be reduced. In addition, with the widespread use of deep learning algorithms, high accuracy predictive impervious surface inventory maps have been obtained. Future research should focus on integrating different types of remote sensing data, developing feature or covariate selection methods for prediction algorithms, and developing new deep learning models to create more successful impervious surface maps. In this way, stakeholders such as decision makers and planners in both urban and other land landscapes can be provided with spatial data for sustainable land planning more efficiently and accurately.
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