Estimating invasive grasses heights with images from a remotely piloted aircraft in Brazilian Cerrado: accuracy of Global Navigation Satellite System from Phantom 4

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DOI:

https://doi.org/10.21680/2447-3359.2021v7n2ID20423

Abstract

The purpose of this study was to estimate the height of invasive plants from UAV images using the GNSS integrated into the UAV and to evaluate the accuracy of the GNSS. DSM and DTM elevation models were produced from images collected by remotely piloted aircraft (RPA). The production of CHIS occurred through the subtraction of the DSM and the DTM. In order to assess the accuracy of the CHIS+GNSS model, the CHIS+RTK model was generated as the observed variable. The comparison between the models took place in two sample areas represented by typical vegetation of Cerrado and Brachiaria grass. The statistical tests adopted were: Spearman correlation, RMSE, MAE and Wilcoxon test. The visual interpretation of the selected images showed that the CHIS+GNSS model presented errors in the identification of the ground cover represented by invasive grasses when compared to the CHIS+RTK model, being less accurate in the classification of the canopy heights of the invasive species. Statistical tests indicated that the CHIS+GNSS model showed significant differences in the identification of invasive species, with greater height error (0.24 cm) in the sample area. From these results it can be seen that the CHIS+RTK model is more assertive in detecting ground cover composed by exotic grasses than the CHIS+GNSS model.

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Author Biographies

Dhonatan Diego Pessi, Universidade Federal de Mato Grosso do Sul- UFMS

ESTIMATING THE HEIGHT OF INVASIVE GRASS WITH IMAGES OF AN UNMANNED AIR VEHICLE IN THE BRAZILIAN CERRADO: PRECISION OF THE PHANTOM 4 GLOBAL SATELLITE NAVIGATION SYSTEM.

Jefferson Vieira José, Universidade Federal do Acre- UFAC

Multidisciplinary Center, Campus Floresta, Federal University of Acre, Cruzeiro do Sul, AC, Brazil

Camila Leonardo Mioto, Universidade Federal de Rondonópolis (UFR), Rondonópolis/MS, Brasil.

Cerrado Research Center (NUPEC), Federal University of Rondonópolis, Rondonópolis, MT, Brazil

Marco Antonio Diodato, Universidade Federal Rural do Semi-Árido- UFERSA

Doctor in Biological Sciences from the Federal University of Paraná. He is currently an associate professor at the Federal Rural University of the Semi-Árido-UFERSA

Alfredo Marcelo Grigio, UERN

PhD in Geodynamics from the Federal University of Rio Grande do Norte. He is currently Adjunct Professor II at the State University of Rio Grande do Norte.

Antonio Conceicão Paranhos Filho, Universidade Federal Mato Grosso do Sul- UFMS

Geoprocessing Laboratory for Environmental Applications, Federal University of Mato Grosso do Sul, Unit 7A, University City, Campo Grande, MS, Brazil

Normandes Matos da Silva, Universidade Federal de Rondonópolis (UFR), Rondonópolis/MS, Brasil.

Cerrado Research Center (NUPEC), Federal University of Rondonópolis, Rondonópolis, MT, Brazil

Published

16-09-2021

How to Cite

PESSI, D. D.; VIEIRA JOSÉ, J.; MIOTO, C. L. .; DIODATO, M. A.; GRIGIO, A. M. .; PARANHOS FILHO, A. C. .; MATOS DA SILVA, N. . Estimating invasive grasses heights with images from a remotely piloted aircraft in Brazilian Cerrado: accuracy of Global Navigation Satellite System from Phantom 4. Notheast Geoscience Journal, [S. l.], v. 7, n. 2, p. 140–152, 2021. DOI: 10.21680/2447-3359.2021v7n2ID20423. Disponível em: https://periodicos.ufrn.br/revistadoregne/article/view/20423. Acesso em: 19 sep. 2024.

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