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Remote sensing techniques to assess chlorophyll fluorescence in support of crop monitoring in Poland

Author

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  • Gurdak Radosław

    (Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Warsaw, Poland)

  • Bartold Maciej

    (Remote Sensing Centre, Institute of Geodesy and Cartography, Warsaw, Poland)

Abstract

The increase in demand for food and the need to predict the impact of a warming climate on vegetation makes it critical that the best tools for assessing crop production are found. Chlorophyll fluorescence (ChlF) has been proposed as a direct indicator of photosynthesis and plant condition. The aim of this paper is to study the feasibility of estimating ChlF from spectral vegetation indices derived from Sentinel-2, in order to monitor crop stress and investigate ChlF changes in response to surface temperatures and meteorological observations. The regressions between thirty three Sentinel-2-derived VIs, and ChlF measured on the ground were evaluated in order to estimate the best predictors of ChlF. The r-Pearson correlation and polynomial linear regression were used. For maize, the highest correlation between ChlF and VIs were found for NDII (r=0.65) and for SIPI (r=−0.68). The weakest relationship between VIs and ChlF were found for sugar beets. Despite this, it should be noted that the highest correlation for sugar beets appeared for EVI (r=0.45) and S2REP (r=0.43). The results of this study indicate the need for a synergy of low and high resolution satellite data that will enable a more detailed analysis for estimating fluorescence and its relation to climatic conditions, environmental aspects, and VIs derived from satellite images.

Suggested Citation

  • Gurdak Radosław & Bartold Maciej, 2021. "Remote sensing techniques to assess chlorophyll fluorescence in support of crop monitoring in Poland," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 25(4), pages 226-237, October.
    • Handle: RePEc:vrs:mgrsod:v:25:y:2021:i:4:p:226-237:n:2
    DOI: 10.2478/mgrsd-2020-0029
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    References listed on IDEAS

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    1. Georg Leufen & Georg Noga & Mauricio Hunsche, 2014. "Fluorescence Indices for the Proximal Sensing of Powdery Mildew, Nitrogen Supply and Water Deficit in Sugar Beet Leaves," Agriculture, MDPI, vol. 4(2), pages 1-21, March.
    2. Mathobo, Rudzani & Marais, Diana & Steyn, Joachim Martin, 2017. "The effect of drought stress on yield, leaf gaseous exchange and chlorophyll fluorescence of dry beans (Phaseolus vulgaris L.)," Agricultural Water Management, Elsevier, vol. 180(PA), pages 118-125.
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