A Statistical Model for Multisource Remote-Sensing Data Streams of Wildfire Aerosol Optical Depth
Published Online:8 Mar 2024https://doi.org/10.1287/ijds.2021.0058
References
- (2014) Hierarchical Modeling and Analysis for Spatial Data (CRC Press, Boca Raton, FL).Google Scholar
- (2015) Statistics for Spatio-Temporal Data (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (2011) Introduction to Geophysical Fluid Dynamics: Physical and Numerical Aspects (Academic Press, Waltham, MA).Google Scholar
- (2019) Spatio-temporal short-term wind forecast: A calibrated regime-switching method. Ann. Appl. Statist. 13(3):1484–1510.Google Scholar
- (2019) Image-based prognostics using penalized tensor regression. Technometrics 61(3):369–384.Google Scholar
- (1898) Fourier’s series. Nature 59(1898):200.Google Scholar
- Google Cloud (2021) GOES-16 data set. Accessed June, 2022, https://console.cloud.google.com/storage/browser/gcp-public-data-goes-16.Google Scholar
- (2013) Interpolation of nonstationary high frequency spatial-temporal temperature data. Ann. Appl. Statist. 7(3):1684–1708.Google Scholar
- (1981) Determining optical flow. Artificial Intelligence 17(1–3):185–203.Google Scholar
- (2011) Bayesian inference for the spatial random effects model. J. Amer. Statist. Assoc. 106(495):972–983.Google Scholar
- (2011) Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets. J. Time Series Anal. 32(4):430–446.Google Scholar
- (2020) Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models. J. Amer. Statist. Assoc. 115(530):866–885.Google Scholar
- (2016) Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems (Society for Industrial and Applied Mathematics, Philadelphia).Google Scholar
- (2018) Locally stationary spatio-temporal interpolation of Argo profiling float data. Proc. Roy. Soc. London A 474(2220):20180400.Google Scholar
- (2018a) A spatio-temporal modeling framework for weather radar image data in tropical Southeast Asia. Ann. Appl. Statist. 12(1):378–407.Google Scholar
- (2018b) A statistical modeling approach for spatio-temporal degradation data. J. Quality Tech. 50(2):166–182.Google Scholar
- (2022) Statistical modeling for spatio-temporal data from stochastic convection-diffusion processes. J. Amer. Statist. Assoc. 117(539):1482–1499.Google Scholar
- (2016) A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling. Ann. Appl. Statist. 10(2):756–785.Google Scholar
- (2020a) A fused Gaussian process model for very large spatial data. J. Comput. Graphical Statist. 29(3):479–489.Google Scholar
- (2020b) Spatio-temporal data fusion for massive sea surface temperature data from MODIS and AMSR-E instruments. Environmetrics 31(2):e2594.Google Scholar
- (2012) Spatial statistical data fusion for remote sensing applications. J. Amer. Statist. Assoc. 107(499):1004–1018.Google Scholar
- (2014) Spatio-temporal data fusion for very large remote sensing datasets. Technometrics 56(2):174–185.Google Scholar
- (2015) Stochastic partial differential equation based modelling of large space-time data sets. J. Roy. Statist. Soc. Ser. B Statist. Methodology 77(1):3–33.Google Scholar
- (2012) Interpolation of Spatial Data: Some Theory for Kriging (Springer Science & Business Media, New York).Google Scholar
- (2001) Dynamic models for spatiotemporal data. J. Roy. Statist. Soc. B 63(4):673–689.Google Scholar
- (2017) Bayesian and maximum likelihood estimation for Gaussian processes on an incomplete lattice. J. Comput. Graphical Statist. 26(1):108–120.Google Scholar
- (2010) An ensemble Kalman filter and smoother for satellite data assimilation. J. Amer. Statist. Assoc. 105(491):978–990.Google Scholar
- (2023) An extended PDE-based statistical spatio-temporal model that suppresses the Gibbs phenomenon. Environmetrics, ePub ahead of print October 26, https://doi.org/10.1002/env.2831.Google Scholar
- (2019) Comparison of deep neural networks and deep hierarchical models for spatio-temporal data. J. Agricultural Biological Environ. Statist. 24(2):175–203.Google Scholar
- (2005) Combining information across spatial scales. Technometrics 47(1):80–91.Google Scholar
- (1998) Hierarchical Bayesian space-time models. Environ. Ecological Statist. 5(2):117–154.Google Scholar
- (2001) Spatiotemporal hierarchical Bayesian modeling tropical ocean surface winds. J. Amer. Statist. Assoc. 96(454):382–397.Google Scholar
- (2018) Real-time monitoring of high-dimensional functional data streams via spatio-temporal smooth sparse decomposition. Technometrics 60(2):181–197.Google Scholar
- (2018) Spatiotemporal incidence rate data analysis by nonparametric regression. Statist. Medicine 37(13):2094–2107.Google Scholar
- (2017) Characterizing the location and extent of myocardial infarctions with inverse ECG modeling and spatiotemporal regularization. IEEE J. Biomedicine Health Informatics 22(5):1445–1455.Google Scholar
- (2020) U.S. Energy Information Administration. Accessed June, 2022, https://www.eia.gov/todayinenergy/detail.php?id=45336.Google Scholar
- (2022) Early detection of COVID-19 hotspots using spatio-temporal data. IEEE J. Selected Topics Signal Processing 16(2):250–260.Google Scholar

