Results 121 to 130 of about 78,859 (235)
Abstract Soil inorganic carbon (SIC) is critical for carbon sequestration, infiltration, and climate modeling, yet quantifying its precise spatial distribution at continental scales remains challengings. We introduce a high‐resolution (30 m) CONUS SIC map using machine learning (ML) models trained on the ISRIC World Soil Information Service (WoSIS ...
Zahra Ghahremani +4 more
wiley +1 more source
In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014.
M. A. Amini +4 more
doaj
Accurate modeling of antennas using variable-fidelity EM simulations and co-kriging [PDF]
Couckuyt, Ivo +3 more
core +1 more source
Reliable low-cost co-kriging modeling of microwave devices [PDF]
Couckuyt, Ivo +2 more
core +1 more source
This article proposes a new kriging that has a rational form. It is shown that the generalized least squares estimate of the mean from rational kriging is much more well behaved than that from ordinary kriging. Parameter estimation and uncertainty quantification for rational kriging are proposed using a Gaussian process framework.
openaire +2 more sources
Spatial prediction of dog population distribution in Kenya. [PDF]
Das M +4 more
europepmc +1 more source
A geostatistical imputation of first floor elevation data for mapping flood vulnerability. [PDF]
Raja P, Li Y, Gong J.
europepmc +1 more source
Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation. [PDF]
R S +7 more
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
europepmc +1 more source
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

