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Detecting subsurface drainage systems and estimating drain spacing in intensively managed agricultural landscapes

Author

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  • Naz, B.S.
  • Ale, S.
  • Bowling, L.C.

Abstract

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Suggested Citation

  • Naz, B.S. & Ale, S. & Bowling, L.C., 2009. "Detecting subsurface drainage systems and estimating drain spacing in intensively managed agricultural landscapes," Agricultural Water Management, Elsevier, vol. 96(4), pages 627-637, April.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:4:p:627-637
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    Citations

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    Cited by:

    1. Ale, S. & Bowling, L.C. & Owens, P.R. & Brouder, S.M. & Frankenberger, J.R., 2012. "Development and application of a distributed modeling approach to assess the watershed-scale impact of drainage water management," Agricultural Water Management, Elsevier, vol. 107(C), pages 23-33.
    2. Woo, Dong Kook & Ji, Junghu & Song, Homin, 2023. "Subsurface drainage pipe detection using an ensemble learning approach and aerial images," Agricultural Water Management, Elsevier, vol. 287(C).
    3. Kratt, C.B. & Woo, D.K. & Johnson, K.N. & Haagsma, M. & Kumar, P. & Selker, J. & Tyler, S., 2020. "Field trials to detect drainage pipe networks using thermal and RGB data from unmanned aircraft," Agricultural Water Management, Elsevier, vol. 229(C).
    4. Woo, Dong Kook & Song, Homin & Kumar, Praveen, 2019. "Mapping subsurface tile drainage systems with thermal images," Agricultural Water Management, Elsevier, vol. 218(C), pages 94-101.
    5. Tlapáková Lenka, 2017. "Development of drainage system in the Czech landscape – identification and functionality assessment by means of remote sensing," European Countryside, Sciendo, vol. 9(1), pages 77-98, March.
    6. Allred, Barry & Martinez, Luis & Fessehazion, Melake K. & Rouse, Greg & Koganti, Triven & Freeland, Robert & Eash, Neal & Wishart, DeBonne & Featheringill, Robert, 2021. "Time of day impact on mapping agricultural subsurface drainage systems with UAV thermal infrared imagery," Agricultural Water Management, Elsevier, vol. 256(C).
    7. Song, Homin & Woo, Dong Kook & Yan, Qina, 2021. "Detecting subsurface drainage pipes using a fully convolutional network with optical images," Agricultural Water Management, Elsevier, vol. 249(C).
    8. Allred, Barry & Martinez, Luis & Fessehazion, Melake K. & Rouse, Greg & Williamson, Tanja N. & Wishart, DeBonne & Koganti, Triven & Freeland, Robert & Eash, Neal & Batschelet, Adam & Featheringill, Ro, 2020. "Overall results and key findings on the use of UAV visible-color, multispectral, and thermal infrared imagery to map agricultural drainage pipes," Agricultural Water Management, Elsevier, vol. 232(C).
    9. Allred, Barry & Eash, Neal & Freeland, Robert & Martinez, Luis & Wishart, DeBonne, 2018. "Effective and efficient agricultural drainage pipe mapping with UAS thermal infrared imagery: A case study," Agricultural Water Management, Elsevier, vol. 197(C), pages 132-137.

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