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Precision Crop Protection - the Challenge and Use of Heterogeneity pp 101–118Cite as

Remote Sensing for Precision Crop Protection – A Matter of Scale

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Abstract

Management strategies for precision crop protection necessitate spatially and temporally explicit knowledge about crop growth heterogeneity within fields. Remote sensing techniques are appropriate tools for the derivation of relevant crop parameters. However, even for a first discrimination between stressed and productive crop stands, several aspects related to phenomenon and sensor characteristics need to be considered. The question of which prerequisites a sensor must fulfil at specific scales for an effective identification of within-field heterogeneities arises. Besides scale -related issues of the observed phenomenon, the scale of remote sensing data needs to be differentiated into the sensor-defining dimensions: spatial, temporal and spectral . This chapter examines each dimension in detail. For the spatial dimension , different landscape metrics were calculated and a threshold of the minimal spatial resolution of remote sensing data for crop stress detection could thus be defined. The temporal scale of remote observations is rather phenomenon-dependent, as various factors such as the crop stress type produce different temporal dynamics, which determine the sensor-technical prerequisites. With respect to the spectral scale, its characteristics strongly depend on the given spatial and temporal dimensions. Different spectral wavebands need to be considered at different spatial scales (e.g., near-range sensing vs. remote sensing) as well as temporal variances (e.g., different phonological stages). The chapter demonstrates the importance of scale-related issues for precision crop protection and highlights that various perspectives have to be taken into account by using remote sensing.

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Author information

Authors and Affiliations

  1. Remote Sensing Research Group, Department of Geography, University of Bonn, Bonn, D-53115, Germany

    Kerstin Voss & Gunter Menz

  2. RSS – Remote Sensing Solutions GmbH, Office Munich, München, D-81667, Germany

    Jonas Franke

  3. Center for Remote Sensing of Land Surfaces (ZFL), Bonn, D-53113, Germany

    Thorsten Mewes

  4. Crop Science Research Group, Institute of Crop Science and Resource Conservation, D-53115, Bonn, Germany

    Walter Kühbauch

Authors
  1. Kerstin Voss
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  2. Jonas Franke
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  3. Thorsten Mewes
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  4. Gunter Menz
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  5. Walter Kühbauch
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Corresponding author

Correspondence to Kerstin Voss .

Editor information

Editors and Affiliations

  1. , Institute of Crop Science and Resource C, University of Bonn, Nussallee 9, Bonn, 53115, Germany

    Erich-Christian Oerke

  2. , Department of Weed Sciences, University of Hohenheim, Otto-Sanderstrasse 5, Stuttgart, 70599, Germany

    Roland Gerhards

  3. , Department of Geography, Remote Sensing, University of Bonn, Meckenheimer Allee 166, Bonn, 53115, Germany

    Gunter Menz

  4. , Institute of Crop Science and Resource C, University of Bonn, Nussallee 9, Bonn, 53115, Germany

    Richard A. Sikora

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Voss, K., Franke, J., Mewes, T., Menz, G., Kühbauch, W. (2010). Remote Sensing for Precision Crop Protection – A Matter of Scale. In: Oerke, EC., Gerhards, R., Menz, G., Sikora, R. (eds) Precision Crop Protection - the Challenge and Use of Heterogeneity. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9277-9_7

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