Rapeseed crops flowering duration estimation by RGB images acquired by consumer drone: a tool for ground-truthing

Dessislava Ganeva

doi:10.1117/12.2326149

6 August 2018 Rapeseed crops flowering duration estimation by RGB images acquired by consumer drone: a tool for ground-truthing

Dessislava Ganeva

Author Affiliations +

Proceedings Volume 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018); 107730C (2018) https://doi.org/10.1117/12.2326149
Event: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018, Paphos, Cyprus

Abstract

Accurately monitoring agriculture with satellite data is in constant demand. However, correctly relating the satellite data to ground data is not a trivial task. This study explores the possibility to use RGB digital images as ground truth in remote estimation of the flowering duration for the winter rapeseed crop (Brassica napus). I used a DJI Phantom 3 Advanced drone and camera. The flowering of the rapeseed crop is characterized by a very distinctive yellow color. The beginning and end of flowering is not an exact notion, but a user estimated one, based on the percentage of the flowering plants in the study area. Therefore, the aim is to pixel segment the acquired RGB digital images and identify the flowering pixels. The RGB color model is transformed into a Hue Saturation Value (HSV) color model that decouples the intensity information from the color information in the image. This transformation is used to improve the image classification in variable lighting conditions. Unsupervised image classification on the color transformed images gives satisfactory results in identifying the flowering pixels in the image in full and end flowering, if the images are taken under cloudless sky. The estimation of the results is done by visual user check. The experiment started after the beginning of flowering therefore this part will be performed and evaluated during the next flowering period.

Citation Download Citation

Dessislava Ganeva "Rapeseed crops flowering duration estimation by RGB images acquired by consumer drone: a tool for ground-truthing", Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 107730C (6 August 2018); https://doi.org/10.1117/12.2326149

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