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Machine learning-based wetland vulnerability assessment in the sindh province ramsar site using remote sensing data
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
worldwide. This study undertakes an integrated spatiotemporal assessment of the …
[HTML][HTML] Exploring groundwater quality assessment: a geostatistical and integrated water quality indices perspective
Groundwater is an important source of freshwater. At the same time, anthropogenic
activities, in particular, industrialization, urbanization, population growth, and excessive …
activities, in particular, industrialization, urbanization, population growth, and excessive …
[HTML][HTML] Estimation of Reference Evapotranspiration in Semi-Arid Region with Limited Climatic Inputs Using Metaheuristic Regression Methods
Different regression-based machine learning techniques, including support vector machine
(SVM), random forest (RF), Bagged trees algorithm (BaT), and Boosting trees algorithm …
(SVM), random forest (RF), Bagged trees algorithm (BaT), and Boosting trees algorithm …
[HTML][HTML] The Effect of the El Nino Southern Oscillation on Precipitation Extremes in the Hindu Kush Mountains Range
The El Nino Southern Oscillation (ENSO) phenomenon is devastating as it negatively
impacts global climatic conditions, which can cause extreme events, including floods and …
impacts global climatic conditions, which can cause extreme events, including floods and …
[HTML][HTML] An Improved Acceleration Approach by Utilizing K-Band Range Rate Observations
Z Shen, Q Chen, Y Shen - Remote Sensing, 2023 - mdpi.com
During gravity field modeling, the conventional acceleration approach rarely incorporates
KBR inter-satellite range rate data from the GRACE mission. To propose an improved …
KBR inter-satellite range rate data from the GRACE mission. To propose an improved …
[HTML][HTML] Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning
L Zhu, G Ma, Y Zhang, J Wang, X Kan - Water, 2023 - mdpi.com
Fine spatiotemporal resolution snow monitoring at the watershed scale is crucial for the
management of snow water resources. This research proposes a cloud removal algorithm …
management of snow water resources. This research proposes a cloud removal algorithm …