Titlebook: Environmental Applications of Remote Sensing and GIS in Libya; Hamdi A. Zurqani Book 2022 The Editor(s) (if applicable) and The Author(s),

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https://doi.org/10.1057/9781403913838use, agricultural drought monitoring, and?hydrological applications such as spatial rainfall distribution, surface runoff, geo-morphometric analysis, hydrologic and hydraulic modeling, and climate-related geophysical processes.

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https://doi.org/10.1007/978-981-15-2635-0hus a proper operation of the machine learning model used. Based on these results, it can be concluded that this approach is an effective and valid methodology for modeling and spatial mapping soil properties in this area, and this method could also be applied to other regions with similar characteristics.

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Introduction to Environmental Applications of Remote Sensing and GIS in Libya,use, agricultural drought monitoring, and?hydrological applications such as spatial rainfall distribution, surface runoff, geo-morphometric analysis, hydrologic and hydraulic modeling, and climate-related geophysical processes.

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Introduction to Environmental Applications of Remote Sensing and GIS in Libya,ok. The chapters of this book focus on the use and the role of remote sensing (RS) and geographic information system (GIS) techniques in understanding, monitoring, and investigating the extent of environmental disturbance (e.g., desertification, salinization, deforestation, land use changes, etc.) o

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小步走路

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Integration of Remotely Sensed Data and Machine Learning Technique for Spatial Prediction of Select monitoring practices. The main aim of this research is to conduct a spatial prediction of selected topsoil properties such as soil pH, calcium carbonate (CaCO.); exchangeable sodium percentage (ESP); and cation exchange capacity (CEC) using integrated remotely sensed data and machine learning appro

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