Articles | Volume 8, issue 10
Geosci. Model Dev., 8, 3311–3319, 2015
https://doi.org/10.5194/gmd-8-3311-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 3311–3319, 2015
https://doi.org/10.5194/gmd-8-3311-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
20 Oct 2015
Development and technical paper
| 20 Oct 2015
Mapping of satellite Earth observations using moving window block kriging
J. M. Tadić et al.
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Cited
20 citations as recorded by crossref.
- Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018
- Spatio-temporal approach to moving window block kriging of satellite data v1.0 J. Tadić et al. 10.5194/gmd-10-709-2017
- Drought impacts on photosynthesis, isoprene emission and atmospheric formaldehyde in a mid-latitude forest Y. Zheng et al. 10.1016/j.atmosenv.2017.08.017
- Evaluation of Groundwater Levels in the Arapahoe Aquifer Using Spatiotemporal Regression Kriging C. Ruybal et al. 10.1029/2018WR023437
- Improving Bayesian Local Spatial Models in Large Datasets A. Lenzi et al. 10.1080/10618600.2020.1814789
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- Locally stationary spatio-temporal interpolation of Argo profiling float data M. Kuusela & M. Stein 10.1098/rspa.2018.0400
- Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
- Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments P. Ma et al. 10.1080/00401706.2018.1524791
- Data reduction for inverse modeling: an adaptive approach v1.0 X. Liu et al. 10.5194/gmd-14-4683-2021
- Great expectations and even greater exceedances from spatially referenced data N. Cressie & T. Suesse 10.1016/j.spasta.2020.100420
- Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
- Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements Y. Bi et al. 10.1007/s13351-018-7118-6
- On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. 10.3390/rs10010155
- Characterizing the Spatial Scales of Extreme Daily Precipitation in the United States D. Touma et al. 10.1175/JCLI-D-18-0019.1
- QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach M. Gravey & G. Mariethoz 10.5194/gmd-13-2611-2020
- Atmospheric CO 2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics Z. Zeng et al. 10.1080/17538947.2016.1156777
19 citations as recorded by crossref.
- Identification of Bias in Satellite Measurements Using its Geospatial Properties J. Tadic & S. Biraud 10.1109/LGRS.2020.3015174
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks Y. Zhang et al. 10.5194/bg-15-5779-2018
- Spatio-temporal approach to moving window block kriging of satellite data v1.0 J. Tadić et al. 10.5194/gmd-10-709-2017
- Drought impacts on photosynthesis, isoprene emission and atmospheric formaldehyde in a mid-latitude forest Y. Zheng et al. 10.1016/j.atmosenv.2017.08.017
- Evaluation of Groundwater Levels in the Arapahoe Aquifer Using Spatiotemporal Regression Kriging C. Ruybal et al. 10.1029/2018WR023437
- Improving Bayesian Local Spatial Models in Large Datasets A. Lenzi et al. 10.1080/10618600.2020.1814789
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- Locally stationary spatio-temporal interpolation of Argo profiling float data M. Kuusela & M. Stein 10.1098/rspa.2018.0400
- Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information S. Bhattacharjee & J. Chen 10.1109/TGRS.2020.2985047
- Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments P. Ma et al. 10.1080/00401706.2018.1524791
- Data reduction for inverse modeling: an adaptive approach v1.0 X. Liu et al. 10.5194/gmd-14-4683-2021
- Great expectations and even greater exceedances from spatially referenced data N. Cressie & T. Suesse 10.1016/j.spasta.2020.100420
- Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
- Validation of Column-Averaged Dry-Air Mole Fraction of CO2 Retrieved from OCO-2 Using Ground-Based FTS Measurements Y. Bi et al. 10.1007/s13351-018-7118-6
- On Statistical Approaches to Generate Level 3 Products from Satellite Remote Sensing Retrievals A. Zammit-Mangion et al. 10.3390/rs10010155
- Characterizing the Spatial Scales of Extreme Daily Precipitation in the United States D. Touma et al. 10.1175/JCLI-D-18-0019.1
- QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach M. Gravey & G. Mariethoz 10.5194/gmd-13-2611-2020
- Atmospheric CO 2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
1 citations as recorded by crossref.
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