Machine learning-based wetland vulnerability assessment in the sindh province ramsar site using remote sensing data

RW Aslam, H Shu, I Naz, A Quddoos, A Yaseen… - Remote Sensing, 2024 - mdpi.com
Wetlands provide vital ecological and socioeconomic services but face escalating pressures
worldwide. This study undertakes an integrated spatiotemporal assessment of the …

[HTML][HTML] Exploring groundwater quality assessment: a geostatistical and integrated water quality indices perspective

MU Masood, M Rashid, S Haider, I Naz, CB Pande… - Water, 2024 - mdpi.com
Groundwater is an important source of freshwater. At the same time, anthropogenic
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

SS Sammen, O Kisi, AMS Al-Janabi, A Elbeltagi… - Water, 2023 - mdpi.com
Different regression-based machine learning techniques, including support vector machine
(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

MU Masood, S Haider, M Rashid, MUK Lodhi… - Water, 2023 - mdpi.com
The El Nino Southern Oscillation (ENSO) phenomenon is devastating as it negatively
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 …

[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 …