Results 31 to 40 of about 2,909,867 (244)

Comparison of Random Forest and Kriging Models for Soil Organic Carbon Mapping in the Himalayan Region of Kashmir

open access: yesLand, 2022
The knowledge about the spatial distribution of soil organic carbon stock (SOCS) helps in sustainable land-use management and ecosystem functioning. No such study has been attempted in the complex topography and land use of Himalayas, which is associated
Iqra Farooq   +9 more
doaj   +1 more source

MAPPING OF SOIL ORGANIC CARBON CONTENT AND STOCK AT THE REGIONAL AND LOCAL LEVELS: THE ANALYSIS OF MODERN METHODOLOGICAL APPROACHES [PDF]

open access: yesВопросы лесной науки, 2023
This paper provides an overview of scientific publications in Russia and other countries devoted to the soil organic carbon (SOC) content and stocks mapping at regional and local levels.
N.V. Gopp   +4 more
doaj   +1 more source

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]

open access: yes, 2014
Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D.   +8 more
core   +3 more sources

Validation of Grid APHRODIT Daily Precipitation Estimates and Estimates derived from spatial interpolation of Precipitation in the Khuzestan province

open access: yesمجله آب و خاک, 2014
Available accurate and reliable precipitation data are so important in water resources management and planning. In this study,to determine the best method of regional precipitation estimate in Khuzestan province, estimated daily precipitation data from ...
M. Jamei   +2 more
doaj   +1 more source

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]

open access: yes, 2019
A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants ...
Berrocal, Veronica J.   +6 more
core   +2 more sources

Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]

open access: yes, 2013
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
LAMOUREUX, Benjamin   +2 more
core   +5 more sources

Simulation Optimization Through Regression or Kriging Metamodels [PDF]

open access: yesSSRN Electronic Journal, 2017
This chapter surveys two methods for the optimization of real-world systems that are modelled through simulation. These methods use either linear regression metamodels, or Kriging (Gaussian processes). The metamodel type guides the design of the experiment; this design …fixes the input combinations of the simulation model.
openaire   +2 more sources

Full-field digital image correlation with Kriging regression [PDF]

open access: yesOptics and Lasers in Engineering, 2015
A full-field Digital Image Correlation (DIC) method with integrated Kriging regression is presented in this article. The displacement field is formulated as a best linear unbiased model that includes the correlations between all the locations in the Region of Interest (RoI). A global error factor is employed to extend conventional Kriging interpolation
Wang, D   +3 more
openaire   +2 more sources

Spatial distribution of wood volume in Brazilian savannas [PDF]

open access: yesAnais da Academia Brasileira de Ciências, 2019
: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate
EDUARDA M.O. SILVEIRA   +7 more
doaj   +1 more source

An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height

open access: yesRemote Sensing, 2022
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest management activities.
Junpeng Zhao   +5 more
doaj   +1 more source

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