Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera

Beniaich, Adnane and Naves Silva, Marx Leandro and Avalos, Fabio Arnaldo Pomar and Menezes, Michele Duarte and Candido, Bernardo M (2019) Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera. Semina-Ciencias Agrarias, 40 (1). pp. 49-66. ISSN 1676-546X

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Abstract

The permanent monitoring of vegetation cover is important to guarantee a sustainable management of agricultural activities, with a relevant role in the reduction of water erosion. This monitoring can be carried out through different indicators such as vegetation cover indices. In this study, the vegetation cover index was obtained using uncalibrated RGB images generated from a digital photographic camera on an unmanned aerial vehicle (UAV). In addition, a comparative study with 11 vegetation indices was carried out. The vegetation indices CIVE and EXG presented a better performance and the index WI presented the worst performance in the vegetation classification during the cycles of jack bean and millet, according to the overall accuracy and Kappa coefficient. Vegetation indices were effective tools in obtaining soil cover index when compared to the standard Stocking method, except for the index WI. Architecture and cycle of millet and jack bean influenced the behavior of the studied vegetation indices. Vegetation indices generated from RGB images obtained by UAV were more practical and efficient, allowing a more frequent monitoring and in a wider area during the crop cycle.

Item Type:
Journal Article
Journal or Publication Title:
Semina-Ciencias Agrarias
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1100/1100
Subjects:
?? vegetation cover indexrgb imagevegetation indexunmanned aerial vehiclegeneral agricultural and biological sciencesagricultural and biological sciences(all) ??
ID Code:
131297
Deposited By:
Deposited On:
18 Feb 2019 09:35
Refereed?:
Yes
Published?:
Published
Last Modified:
14 Oct 2024 00:14