Comparison of three machine learning algorithms using google earth engine for land use land cover classification
Abstract Google Earth Engine (GEE) is presently the most innovative international open-
source platform for the advanced-level analysis of geospatial big data. In this study, we used …
source platform for the advanced-level analysis of geospatial big data. In this study, we used …
Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …
The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models
Satellite remote sensing is widely being used by the researchers and geospatial scientists
due to its free data access for land observation and agricultural activities monitoring. The …
due to its free data access for land observation and agricultural activities monitoring. The …
Assessment of heavy metal accumulation in dust and leaves of Conocarpus erectus in urban areas: implications for phytoremediation
This study investigated the spatio-temporal variation of heavy metal concentrations in
roadside dust and its correlation with heavy metal content in roadside plant leaves. Sixty re …
roadside dust and its correlation with heavy metal content in roadside plant leaves. Sixty re …
[HTML][HTML] Assessing terrestrial water storage variations in Afghanistan using GRACE and FLDAS-Central Asia data
Abstract Study region Afghanistan, Central Asia. Study focus In this study, we evaluated the
terrestrial water storage dynamics in Afghanistan and its five major river basins using the …
terrestrial water storage dynamics in Afghanistan and its five major river basins using the …
Insight into land cover dynamics and water challenges under anthropogenic and climatic changes in the eastern Nile Delta: inference from remote sensing and GIS …
The destabilization of delta's worldwide due to climate change and human activities
presents challenges in meeting the growing demands for freshwater and food. The Nile …
presents challenges in meeting the growing demands for freshwater and food. The Nile …
Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data
Among all other valuable natural resources, groundwater is crucial for global economic
growth and food security. This study aimed to delineate groundwater potential zones …
growth and food security. This study aimed to delineate groundwater potential zones …
Spatio-temporal analysis of hydrometeorological variables for terrestrial and groundwater storage assessment
Groundwater is a vital resource supporting various sectors such as agriculture, industry, and
drinking water supplies. Gravity Recovery and Climate Experiment (GRACE) and its follow …
drinking water supplies. Gravity Recovery and Climate Experiment (GRACE) and its follow …
The analysis on groundwater storage variations from GRACE/GRACE-FO in recent 20 years driven by influencing factors and prediction in Shandong Province, China
W Li, L Bao, G Yao, F Wang, Q Guo, J Zhu, J Zhu… - Scientific Reports, 2024 - nature.com
Monitoring and predicting the regional groundwater storage (GWS) fluctuation is an
essential support for effectively managing water resources. Therefore, taking Shandong …
essential support for effectively managing water resources. Therefore, taking Shandong …
Machine learning algorithms for predicting the water quality index
EE Hussein, MY Jat Baloch, A Nigar, HF Abualkhair… - Water, 2023 - mdpi.com
Groundwater is one of the water resources used to preserve natural water sources for
drinking, irrigation, and several other purposes, especially in industrial applications. Human …
drinking, irrigation, and several other purposes, especially in industrial applications. Human …