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Geographic : united states

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Academic Journal

3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data.

Authors : Fathi, Mahdiyeh¹ (AUTHOR) ; Shah-Hosseini, Reza¹ (AUTHOR) ; Moghimi, Armin² (AUTHOR)

Source: Remote Sensing. Dec2023, Vol. 15 Issue 23, p5551. 20p.

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Academic Journal

Seasonal-to-Subseasonal Model Forecast Performance during Agricultural Drought Transition Periods in the U.S. Corn Belt.

Authors : Schiraldi, Nicholas J.; Roundy, Paul E.

Source: Monthly Weather Review. Sep2017, Vol. 145 Issue 9, p3687-3708. 22p. 1 Chart, 19 Graphs.

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Academic Journal

Improvements to the GOES-R Rainfall Rate Algorithm.

Authors : Kuligowski, Robert J.; Li, Yaping; Hao, Yan

Source: Journal of Hydrometeorology. Jun2016, Vol. 17 Issue 6, p1693-1704. 12p.

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Academic Journal

Intercalibration of Solar Soft X-Ray Broad Band Measurements from SOLRAD 9 through GOES-12.

Authors : Neupert, Werner¹

Source: Solar Physics. Sep2011, Vol. 272 Issue 2, p319-335. 17p.

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Academic Journal

Identifying the Uncertainty in Determining Satellite-Derived Atmospheric Motion Vector Height Attribution.

Authors : Velden, Christopher S.¹ ; Bedka, Kristopher M.¹

Source: Journal of Applied Meteorology & Climatology. Mar2009, Vol. 48 Issue 3, p450-463. 14p. 2 Charts, 10 Graphs.

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Academic Journal

Ten Years of TRMM/VIRS On-Orbit Calibrations and Multiyear Comparisons of VIRS and MODIS.

Authors : Lyu, Cheng-Hsuan¹ ; Barnes, William L.²

Source: Journal of Atmospheric & Oceanic Technology. Dec2008, Vol. 25 Issue 12, p2259-2270. 12p. 8 Graphs.

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Academic Journal

An Automated Method of MFRSR Calibration for Aerosol Optical Depth Analysis with Application to an Asian Dust Outbreak over the United States.

Authors : Augustine, John A.; Cornwall, Christopher R.; Hodges, Gary B.

Source: Journal of Applied Meteorology (1988). Feb2003, Vol. 42 Issue 2, p266. 13p.

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Academic Journal

Assessing freshwater inflows to the hypersaline lower Laguna Madre Estuary of Texas using spectral radiometry, aerial videography, and in situ physicochemistry.

Authors : Webster, Charles F.; Repic, Randall L.; Escobar, David

Source: Aquatic Ecosystem Health & Management. Jun2002, Vol. 5 Issue 2, p163-172. 10p. 1 Black and White Photograph, 2 Charts, 1 Graph, 1 Map.

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Integration of Multiple Spectral Indices and a Neural Network for Burned Area Mapping Based on MODIS Data.

Authors : Ba, Rui^1,2 (AUTHOR) ; Song, Weiguo¹ (AUTHOR) ; Li, Xiaolian³ (AUTHOR)

Source: Remote Sensing. Feb2019, Vol. 11 Issue 3, p326. 1p.

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Investigating the potential of multi-spectral data from the GOES-R satellite for precipitation detection and quantiﬁcation.

Authors : Upadhyaya, Shruti¹ (AUTHOR); Kirstetter, Pierre-Emmanuel^2,3,4 (AUTHOR); Gourley, Jonathan⁵ (AUTHOR)

Source: Geophysical Research Abstracts. 2019, Vol. 21, p1-1. 1p.

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فلترة النتائج

3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data.

Seasonal-to-Subseasonal Model Forecast Performance during Agricultural Drought Transition Periods in the U.S. Corn Belt.

Improvements to the GOES-R Rainfall Rate Algorithm.

Intercalibration of Solar Soft X-Ray Broad Band Measurements from SOLRAD 9 through GOES-12.

Identifying the Uncertainty in Determining Satellite-Derived Atmospheric Motion Vector Height Attribution.

Ten Years of TRMM/VIRS On-Orbit Calibrations and Multiyear Comparisons of VIRS and MODIS.

An Automated Method of MFRSR Calibration for Aerosol Optical Depth Analysis with Application to an Asian Dust Outbreak over the United States.

Assessing freshwater inflows to the hypersaline lower Laguna Madre Estuary of Texas using spectral radiometry, aerial videography, and in situ physicochemistry.

Integration of Multiple Spectral Indices and a Neural Network for Burned Area Mapping Based on MODIS Data.

Investigating the potential of multi-spectral data from the GOES-R satellite for precipitation detection and quantiﬁcation.

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