Results 31 to 40 of about 32,345 (261)
Вопросы 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 the regional and local levels. The analysis showed that the cartographic assessment of the SOC
N. V. Gopp +4 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]
Вопросы 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]
, 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
Land, 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
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]
, 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
Simulation Optimization Through Regression or Kriging Metamodels [PDF]
SSRN 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]
Optics 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 prediction of species’ distributions from occurrence-only records: combining point pattern analysis, ENFA and regression-kriging [PDF]
, 2009 A computational framework to map species’ distributions (realized density) using occurrence-only data and environmental predictors is presented and illustrated using a textbook example and two case studies: distribution of root vole (Microtes oeconomus ...
Dilo, Arta +3 more
core +3 more sources
Spatial distribution of wood volume in Brazilian savannas [PDF]
Anais 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
Remote 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