Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data

Kimm, Hyungsuk; Guan, Kaiyu; Jiang, Chongya; Peng, Bin; Gentry, Laura F.; Wilkin, Scott C.; Wang, Sibo; Cai, Yaping; Bernacchi, Carl J.; Peng, Jian; Luo, Yunan

doi:10.1016/j.rse.2019.111615

Title: Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data

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Authors:

;

; Gentry, Laura F.; Wilkin, Scott C.;

; Cai, Yaping; Bernacchi, Carl J.; Peng, Jian;

Publication Date:: 2020-03-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1580764

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Remote Sensing of Environment

Additional Journal Information:: Journal Name: Remote Sensing of Environment Journal Volume: 239 Journal Issue: C; Journal ID: ISSN 0034-4257

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Citation Formats


                    Kimm, Hyungsuk, Guan, Kaiyu, Jiang, Chongya, Peng, Bin, Gentry, Laura F., Wilkin, Scott C., Wang, Sibo, Cai, Yaping, Bernacchi, Carl J., Peng, Jian, and Luo, Yunan. Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data.  United States: N. p., 2020. 
Web.  doi:10.1016/j.rse.2019.111615.

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                    Kimm, Hyungsuk, Guan, Kaiyu, Jiang, Chongya, Peng, Bin, Gentry, Laura F., Wilkin, Scott C., Wang, Sibo, Cai, Yaping, Bernacchi, Carl J., Peng, Jian, & Luo, Yunan. Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data.  United States.  https://doi.org/10.1016/j.rse.2019.111615

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                    Kimm, Hyungsuk, Guan, Kaiyu, Jiang, Chongya, Peng, Bin, Gentry, Laura F., Wilkin, Scott C., Wang, Sibo, Cai, Yaping, Bernacchi, Carl J., Peng, Jian, and Luo, Yunan. Sun .  
"Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data".  United States.  https://doi.org/10.1016/j.rse.2019.111615.

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@article{osti_1580764,

  title        = {Deriving high-spatiotemporal-resolution leaf area index for agroecosystems in the U.S. Corn Belt using Planet Labs CubeSat and STAIR fusion data},

  author       = {Kimm, Hyungsuk and Guan, Kaiyu and Jiang, Chongya and Peng, Bin and Gentry, Laura F. and Wilkin, Scott C. and Wang, Sibo and Cai, Yaping and Bernacchi, Carl J. and Peng, Jian and Luo, Yunan},

  abstractNote = {},

  doi          = {10.1016/j.rse.2019.111615},

  journal      = {Remote Sensing of Environment},

  number       = C,

  volume       = 239,

  place        = {United States},

  year         = {2020},

  month        = {3}

}

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