Articles | Volume 8, issue 10
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.
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
CORRESPONDING AUTHOR
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
X. Qiu
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
V. Yadav
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
A. M. Michalak
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
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Cited
22 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
- High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al. 10.1016/j.envres.2022.114991
- 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
- Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
- 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 CO2 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
21 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
- High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems L. da Costa et al. 10.1016/j.envres.2022.114991
- 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
- Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data J. Jacobson et al. 10.3390/rs15164038
- 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 CO2 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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