A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. [PDF]
Veloso GV +8 more
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Geospatial variation and machine learning approaches to predict open defecation practice in Zambia. [PDF]
Birlie AA +10 more
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GIS-based soil bearing capacity zonation maps for the Dhaka metropolitan development plan (DMDP) area, Bangladesh. [PDF]
Rahman MS, Alajlan ZS, Ansary MA.
europepmc +1 more source
Evaluating Sentinel-2 gap filling techniques for cloud removal and data reconstruction. [PDF]
Grich S +5 more
europepmc +1 more source
Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions. [PDF]
Manaf M, Ali Z, Scholz M.
europepmc +1 more source
Shape Parameterization and Efficient Optimization Design Method for the Ray-like Underwater Gliders. [PDF]
Zhang D, Zeng D, Zhou H, Bao C, Liu Q.
europepmc +1 more source
Geostatistical and multi-criteria decision-making models to subsidize a quantitative monitoring network of aquifers intensively used for irrigated agriculture: the case of Urucuia Aquifer System, Brazil. [PDF]
Leão BRC +2 more
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Benchmarking Spatial Interpolation Methods for Long-Term Meteorological Exposure Assessment in China: Comparing Inverse Distance Weighting and Ordinary Kriging in Climate-Health Research. [PDF]
Zhang R +10 more
europepmc +1 more source
A neural network-based automatic semi-variogram modeling approach for geomagnetic map construction in multi-source indoor and outdoor navigation. [PDF]
Zhan C, Huang P, Xue B, Lan B.
europepmc +1 more source
Downscaling the spatial resolution of satellite imagery based on morphometric parameters to estimate the Topographic Wetness Index using GIS tools. [PDF]
Shabbir H +6 more
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