IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v98y2011i8p1317-1328.html
   My bibliography  Save this article

Hyperspectral reflectance data processing through cluster and principal component analysis for estimating irrigation and yield related indicators

Author

Listed:
  • Köksal, Eyüp Selim

Abstract

Management of agricultural practices such as irrigation by using remotely sensed data requires background data obtained from field experiments carried out under controlled conditions. In this study, spectral and agronomic data from field trials consisting of six different irrigation treatments were used to derive new spectral indicators for estimating growth level and water use status of dwarf green beans. Spectral reflectance (Ref) values were smoothed and first-order derivative spectra ([rho]) were calculated. Linear regression and multivariate analysis (cluster and principal component analysis) were done between agronomic indicators and both the smoothed spectral reflectance (R) and [rho] of each individual wavelength between 650 and 1100Â nm. Based on those calculations, the most appropriate wavelengths were selected for each agronomic indicator and new combinations were calculated by using rationing, differencing, normalized differencing and multiple regression. The ratio between [rho] measured at 950 or 960Â nm and 1020Â nm wavelengths provided estimates in an error band of 2.47Â bar for Leaf Water Potential (LWP) and 3.18% for Leaf Water Content (LWC). An equation based on [rho]740 and [rho]980 was developed to estimate Leaf Relative Water Content (LRWC). In the same manner, the [rho] at 820 and 970Â nm provided a good estimate of crop water use and the [rho] values at 770 and 960Â nm were critical for the calculation of Leaf Area Index (LAI) and dry biomass. It was also determined that the ratio of R930 to R670 can be applied to yield estimation.

Suggested Citation

  • Köksal, Eyüp Selim, 2011. "Hyperspectral reflectance data processing through cluster and principal component analysis for estimating irrigation and yield related indicators," Agricultural Water Management, Elsevier, vol. 98(8), pages 1317-1328, May.
    • Handle: RePEc:eee:agiwat:v:98:y:2011:i:8:p:1317-1328
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377411000758
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kimura, Reiji & Okada, Shuhei & Miura, Hiroyuki & Kamichika, Makio, 2004. "Relationships among the leaf area index, moisture availability, and spectral reflectance in an upland rice field," Agricultural Water Management, Elsevier, vol. 69(2), pages 83-100, September.
    2. Karatas, Bekir S. & Akkuzu, Erhan & Unal, Halil B. & Asik, Serafettin & Avci, Musa, 2009. "Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey," Agricultural Water Management, Elsevier, vol. 96(6), pages 982-990, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ihuoma, Samuel O. & Madramootoo, Chandra A., 2019. "Crop reflectance indices for mapping water stress in greenhouse grown bell pepper," Agricultural Water Management, Elsevier, vol. 219(C), pages 49-58.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gonçalves, Ivo Zution & Mekonnen, Mesfin M. & Neale, Christopher M.U. & Campos, Isidro & Neale, Michael R., 2020. "Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska," Agricultural Water Management, Elsevier, vol. 228(C).
    2. Barros, R. & Isidoro, D. & Aragüés, R., 2011. "Long-term water balances in La Violada irrigation district (Spain): I. Sequential assessment and minimization of closing errors," Agricultural Water Management, Elsevier, vol. 102(1), pages 35-45.
    3. Droogers, P. & Immerzeel, W.W. & Lorite, I.J., 2010. "Estimating actual irrigation application by remotely sensed evapotranspiration observations," Agricultural Water Management, Elsevier, vol. 97(9), pages 1351-1359, September.
    4. Usman Awan & Bernhard Tischbein & Christopher Conrad & Christopher Martius & Mohsin Hafeez, 2011. "Remote Sensing and Hydrological Measurements for Irrigation Performance Assessments in a Water User Association in the Lower Amu Darya River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2467-2485, August.
    5. Mohamed Kharrou & Michel Le Page & Ahmed Chehbouni & Vincent Simonneaux & Salah Er-Raki & Lionel Jarlan & Lahcen Ouzine & Said Khabba & Ghani Chehbouni, 2013. "Assessment of Equity and Adequacy of Water Delivery in Irrigation Systems Using Remote Sensing-Based Indicators in Semi-Arid Region, Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4697-4714, October.
    6. Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
    7. Toma, Nigatu Sana & Hatiye, Samuel & Tena, Alamirew, 2022. "Assessment on irrigation system performance of sugarcane farm using remote sensing at lower Omo basin, Ethiopia," African Journal of Food, Agriculture, Nutrition and Development (AJFAND), African Journal of Food, Agriculture, Nutrition and Development (AJFAND), vol. 22(07).
    8. Barros, R. & Isidoro, D. & Aragüés, R., 2011. "Long-term water balances in La Violada Irrigation District (Spain): II. Analysis of irrigation performance," Agricultural Water Management, Elsevier, vol. 98(10), pages 1569-1576, August.
    9. Usha Poudel & Haroon Stephen & Sajjad Ahmad, 2021. "Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI," Sustainability, MDPI, vol. 13(14), pages 1-26, July.
    10. Köksal, Eyüp Selim & Kodal, Süleyman & Üstün, Haluk & Yildirim, Yusuf Ersoy, 2010. "Estimation of dwarf green bean water use under semi-arid climate conditions through ground-based remote sensing techniques," Agricultural Water Management, Elsevier, vol. 98(2), pages 353-360, December.
    11. Hulin Pan & Qian Xu, 2018. "Quantitative Analysis on the Influence Factors of the Sustainable Water Resource Management Performance in Irrigation Areas: An Empirical Research from China," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    12. Baik, Jongjin & Choi, Minha, 2015. "Evaluation of geostationary satellite (COMS) based Priestley–Taylor evapotranspiration," Agricultural Water Management, Elsevier, vol. 159(C), pages 77-91.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:98:y:2011:i:8:p:1317-1328. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.