Results 11 to 20 of about 2,909,867 (244)

Object-Based Area-to-Point Regression Kriging for Pansharpening [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2021
IEEE Optical earth observation satellite sensors often provide a coarse spatial resolution (CR) multispectral (MS) image together with a fine spatial resolution (FR) panchromatic (PAN) image. Pansharpening is a technique applied to such satellite sensor images to generate an FR MS image by injecting spatial detail taken from the FR PAN image while ...
Yihang Zhang, Peter M. Atkinson, Feng Ling, Giles M. Foody, Qunming Wang, Yong Ge, Xiaodong Li, Yun Du   +7 more
openaire   +3 more sources

Accessing the spatial distribution of aboveground biomass in tropical mountain forests using regression kriging simulation: a geostatistical approach for local-scale estimates

Ecological Processes
Background Accurate measurements of aboveground biomass (AGB) are essential for understanding the planet’s carbon balance. The Atlantic Forest of the Serra do Mar in southeastern Brazil contains large areas of well-preserved remnants, characterized by ...
Joel Carlos Rodrigues Otaviano, Cássio Freitas Pereira de Almeida   +1 more
doaj   +2 more sources

Spatio-temporal regression kriging for modelling urban NO₂ concentrations [PDF]

International Journal of Geographical Information Science, 2019
Recently developed urban air quality sensor networks are used to monitor air pollutant concentrations at a fine spatial and temporal resolution. The measurements are however limited to point support. To obtain areal coverage in space and time, interpolation is required.
Vera van Zoest, Frank B. Osei, Gerard Hoek, Alfred Stein   +3 more
openaire   +3 more sources

Advances in Regression Kriging-Based Methods for Estimating Statewide Winter Weather Collisions: An Empirical Investigation

Future Transportation, 2021
Winter conditions create hazardous roads that municipalities work hard to maintain to ensure the safety of the travelling public. Targeting their efforts with effective network screening will help transportation managers address these problems.
Andy H. Wong, Tae J. Kwon
doaj   +2 more sources

Digital Mapping of Soil Organic Carbon Based on Machine Learning and Regression Kriging. [PDF]

Sensors (Basel), 2022
In the last two decades, machine learning (ML) methods have been widely used in digital soil mapping (DSM), but the regression kriging (RK) model which combines the advantages of the ML and kriging methods has rarely been used in DSM. In addition, due to
Zhu C, Wei Y, Zhu F, Lu W, Fang Z, Li Z, Pan J.   +6 more
europepmc   +2 more sources

Application of Ordinary Kriging and Regression Kriging Method for Soil Properties Mapping in Hilly Region of Central Vietnam

ISPRS International Journal of Geo-Information, 2019
Soil property maps are essential resources for agricultural land use. However, soil properties mapping is costly and time-consuming, especially in the regions with complicated topographic conditions.
Tung Gia Pham, Martin Kappas, Chuong Van Huynh, Linh Hoang Khanh Nguyen   +3 more
doaj   +2 more sources

Ground settlement prediction for highway subgrades with sparse data using regression Kriging. [PDF]

Sci Rep
Ground settlement prediction for highway subgrades is crucial in related engineering projects. When predicting the ground settlement, sparse sample data are often encountered in practice, which greatly affects the prediction accuracy.
Huang L, Qin W, Dai GL, Zhu MX, Liu LL, Huang LJ, Yang SP, Ge MM.   +7 more
europepmc   +2 more sources

CLASSIFICATION OF STUNTING USING GEOGRAPHICALLY WEIGHTED REGRESSION-KRIGING CASE STUDY: STUNTING IN EAST JAVA

BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN, 2023
Geographically Weighted Regression Kriging (GWRK) is a special case of Geographically Weighted Regression (GWR) model, which is modeling with the effect of spatial autocorrelation on the GWR model error.
A. Iriany, Wigbertus Ngabu, Danang Arianto, Arditama Putra   +3 more
semanticscholar   +1 more source

Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images

Remote Sensing, 2022
Accurate estimation of forest above-ground biomass (AGB) is critical for assessing forest quality and carbon stocks, which can improve understanding of the vegetation growth processes and the global carbon cycle.
Fugen Jiang, Hua Sun, E. Chen, Tianhong Wang, Yaling Cao, Qingwang Liu   +5 more
semanticscholar   +1 more source

Prediction of Soil Organic Carbon at Field Scale by Regression Kriging and Multivariate Adaptive Regression Splines Using Geophysical Covariates

Land, 2022
Knowledge of the spatial distribution of soil organic carbon (SOC) is of crucial importance for improving crop productivity and assessing the effect of agronomic management strategies on crop response and soil quality.
Daniela De Benedetto, E. Barca, M. Castellini, S. Popolizio, G. Lacolla, A. M. Stellacci   +5 more
semanticscholar   +1 more source