Replication data for: estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images

Version 1.0
Freitas, Rodrigo Greggio; Pereira, Francisco Rafael da Silva; Reis, Aliny Aparecida dos; Magalhães, Paulo Sergio Graziano; Figueiredo, Gleyce Kelly Dantas Araújo; Amaral, Lucas Rios do, 2023, "Replication data for: estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images", https://doi.org/10.25824/redu/KDNCFJ, Repositório de Dados de Pesquisa da Unicamp , V1
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Description
This dataset contains data used to generate results presented in the paper “Estimating aboveground pasture biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images (DOI/10.1016/j.compag.2022.107122)”. The research estimated pasture biomass through UAV remote sensing using a multispectral sensor (Micasense Rededge). The study area is in the northwest region of São Paulo State, Brazil. There are 3 UAV orthomosaics from July, August, and November 2019. During the experiment, we collected 181 biomass samples of 1.0 square meter measured by the dry weight in grams (g). The sampled areas had boundaries designed in the orthomosaics (regions of interest). The data files available contain a) dry-weighted pasture biomass (CSV file), b) sampled area boundaries (3 shapefiles), and c) 3 UAV multispectral orthomosaics. (2023-04-20)
Subject Agricultural Sciences
Keyword Aboveground pasture biomass, UAV, Remote sensing
Related Publication FREITAS, R. G. ; PEREIRA, F. R. ; DOS REIS, A. A. ; MAGALHÃES, PAULO SERGIO GRAZIANO ; FIGUEIREDO, G. K. D. A. ; AMARAL, L. R. . Estimating pasture aboveground biomass under an integrated crop-livestock system based on spectral and texture measures derived from UAV images. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 198, p. 107122, 2022. doi: 10.1016/j.compag.2022.107122
Notes To access these data, please contact professor Lucas Rios do Amaral (lucas.amaral@feagri.unicamp.br)
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