High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor.

Journal: Frontiers in plant science
Published Date: Feb 14, 2020

Abstract

INTRODUCTION: In recent decades, the interest has grown to quantify the green area index as one of the key characteristics of crop canopies (e.g. for modelling transpiration, light interception, growth). The approach of estimating green area index based on multispectral reflection data from unmanned airborne vehicles with lightweight sensors might have the potential to deliver data with sufficient accuracy and high throughput during the whole season.

Authors

  • Josephine Bukowiecki
    Institute of Crop Science and Plant Breeding, Christian-Albrechts-University, Kiel, Germany.
  • Till Rose
    Institute of Crop Science and Plant Breeding, Christian-Albrechts-University, Kiel, Germany.
  • Ralph Ehlers
    Institute of Crop Science and Plant Breeding, Christian-Albrechts-University, Kiel, Germany.
  • Henning Kage
    Institute of Crop Science and Plant Breeding, Christian-Albrechts-University, Kiel, Germany.

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