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Satellite-Based Reconstruction of Atmospheric CO2 Concentration over China Using a Hybrid CNN and Spatiotemporal Kriging Model
Y Hua, X Zhao, W Sun, Q Sun - Remote Sensing, 2024 - search.proquest.com
Although atmospheric CO 2 concentrations collected by satellites play a crucial role in
understanding global greenhouse gases, the sparse geographic distribution greatly affects …
understanding global greenhouse gases, the sparse geographic distribution greatly affects …
Comparison of three spatial interpolation methods in predicting time-dependent toxicities of single substances and mixtures
R Qu, Y ** on the interpolation accuracy of geological boreholes
H Liu, W Li, W Zeng, L Bao, Y Mei, J Guo… - Earth Science …, 2023 - Springer
The adaptive inverse distance weighting (IDW) interpolation method shows improved
computational advantages for building high-precision 3D geological models. However, in …
computational advantages for building high-precision 3D geological models. However, in …
A comparison of different GIS-based interpolation methods for bathymetric data: case study of Bawean Island, East Java
The bottom surface's portrayal is crucial in many different practices. Therefore, accurate
bathymetry data is required. The interpolation method is one element that influences the …
bathymetry data is required. The interpolation method is one element that influences the …
[HTML][HTML] The spatial-temporal probability assessment for slope instability based on uncertainty of machine learning-based prediction
T Li, X **ao, R Yan, K **e, Y Zhao, Q Zhang… - Results in Engineering, 2024 - Elsevier
This paper aims to address the issue of uncertainty and limited analysis depth in machine
learning (ML)-based slope cumulative displacement (SCD) prediction, leading to …
learning (ML)-based slope cumulative displacement (SCD) prediction, leading to …
Revitalizing temperature records: A novel framework towards continuous data reconstruction using univariate and multivariate imputation techniques
HKY Kumar, K Varija - Atmospheric Research, 2024 - Elsevier
Data gaps are a recurring challenge in climate research, hindering effective time series
analysis and modeling. This study proposes a novel two-step data imputation framework to …
analysis and modeling. This study proposes a novel two-step data imputation framework to …
Geostatistical Approach to Determining the Pressure Head Spatial Distribution along the Center-Pivot Lateral Line
Irrigation is important for the growth of world agriculture, as it enables greater security in
agricultural production. The use of center-pivot for irrigation is very common in Brazil …
agricultural production. The use of center-pivot for irrigation is very common in Brazil …