Attention-based convolutional capsules for evapotranspiration estimation at scale

Armstrong, Samuel; Khandelwal, Paahuni; Padalia, Dhruv; Senay, Gabriel; Schulte, Darin; Andales, Allan; Breidt, F. Jay; Pallickara, Shrideep; Pallickara, Sangmi Lee

doi:10.1016/j.envsoft.2022.105366

Title: Attention-based convolutional capsules for evapotranspiration estimation at scale

Authors:

; Khandelwal, Paahuni; Padalia, Dhruv; Senay, Gabriel;

; Andales, Allan; Breidt, F. Jay; Pallickara, Shrideep; Pallickara, Sangmi Lee

Publication Date:: 2022-06-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1866001

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Environmental Modelling and Software

Additional Journal Information:: Journal Name: Environmental Modelling and Software Journal Volume: 152 Journal Issue: C; Journal ID: ISSN 1364-8152

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Armstrong, Samuel, Khandelwal, Paahuni, Padalia, Dhruv, Senay, Gabriel, Schulte, Darin, Andales, Allan, Breidt, F. Jay, Pallickara, Shrideep, and Pallickara, Sangmi Lee. Attention-based convolutional capsules for evapotranspiration estimation at scale.  United Kingdom: N. p., 2022. 
Web.  doi:10.1016/j.envsoft.2022.105366.

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                    Armstrong, Samuel, Khandelwal, Paahuni, Padalia, Dhruv, Senay, Gabriel, Schulte, Darin, Andales, Allan, Breidt, F. Jay, Pallickara, Shrideep, & Pallickara, Sangmi Lee. Attention-based convolutional capsules for evapotranspiration estimation at scale.  United Kingdom.  https://doi.org/10.1016/j.envsoft.2022.105366

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                    Armstrong, Samuel, Khandelwal, Paahuni, Padalia, Dhruv, Senay, Gabriel, Schulte, Darin, Andales, Allan, Breidt, F. Jay, Pallickara, Shrideep, and Pallickara, Sangmi Lee. Wed .  
"Attention-based convolutional capsules for evapotranspiration estimation at scale".  United Kingdom.  https://doi.org/10.1016/j.envsoft.2022.105366.

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@article{osti_1866001,

  title        = {Attention-based convolutional capsules for evapotranspiration estimation at scale},

  author       = {Armstrong, Samuel and Khandelwal, Paahuni and Padalia, Dhruv and Senay, Gabriel and Schulte, Darin and Andales, Allan and Breidt, F. Jay and Pallickara, Shrideep and Pallickara, Sangmi Lee},

  abstractNote = {},

  doi          = {10.1016/j.envsoft.2022.105366},

  journal      = {Environmental Modelling and Software},

  number       = C,

  volume       = 152,

  place        = {United Kingdom},

  year         = {2022},

  month        = {6}

}

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Works referenced in this record:

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information
journal, December 2020

Sadeghi, Mojtaba; Nguyen, Phu; Hsu, Kuolin
Environmental Modelling & Software, Vol. 134
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Senay, Gabriel
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Adeloye, Adebayo J.; Rustum, Rabee; Kariyama, Ibrahim D.
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Design and Construction of a Precision Weighing Lysimeter in Southeast Colorado
journal, January 2018

Andales, Allan A.; Straw, Dale; Marek, Thomas H.
Transactions of the ASABE, Vol. 61, Issue 2
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Dense capsule networks with fewer parameters
journal, April 2021

Sun, Kun; Wen, Xianbin; Yuan, Liming
Soft Computing, Vol. 25, Issue 10
DOI: 10.1007/s00500-021-05774-6

Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods: ESTIMATING BASIN SCALE EVAPOTRANSPIRATION
journal, December 2011

Senay, G. B.; Leake, S.; Nagler, P. L.
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Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites
journal, July 2013

King, Michael D.; Platnick, Steven; Menzel, W. Paul
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DOI: 10.1109/TGRS.2012.2227333

Estimation of evapotranspiration and its parameters for pine, switchgrass, and intercropping with remotely-sensed images based geospatial modeling
journal, November 2019

Panda, Sudhanshu Sekhar; Amatya, Devendra Man; Muwamba, Augustine
Environmental Modelling & Software, Vol. 121
DOI: 10.1016/j.envsoft.2019.07.012

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Similar Records

Title: Attention-based convolutional capsules for evapotranspiration estimation at scale

Citation Formats

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information journal, December 2020

Modeling Landscape Evapotranspiration by Integrating Land Surface Phenology and a Water Balance Algorithm journal, October 2008

Neural computing modeling of the reference crop evapotranspiration journal, March 2012

Design and Construction of a Precision Weighing Lysimeter in Southeast Colorado journal, January 2018

Dense capsule networks with fewer parameters journal, April 2021

Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods: ESTIMATING BASIN SCALE EVAPOTRANSPIRATION journal, December 2011

Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites journal, July 2013

Estimation of evapotranspiration and its parameters for pine, switchgrass, and intercropping with remotely-sensed images based geospatial modeling journal, November 2019

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information
journal, December 2020

Modeling Landscape Evapotranspiration by Integrating Land Surface Phenology and a Water Balance Algorithm
journal, October 2008

Neural computing modeling of the reference crop evapotranspiration
journal, March 2012

Design and Construction of a Precision Weighing Lysimeter in Southeast Colorado
journal, January 2018

Dense capsule networks with fewer parameters
journal, April 2021

Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods: ESTIMATING BASIN SCALE EVAPOTRANSPIRATION
journal, December 2011

Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites
journal, July 2013

Estimation of evapotranspiration and its parameters for pine, switchgrass, and intercropping with remotely-sensed images based geospatial modeling
journal, November 2019