Ana Cláudia dos Santos Luciano

The potential for RGB images obtained using unmanned aerial vehicle to assess and predict yield in sugarcane fields

Guilherme Martineli Sanches, Daniel Garbellini Duft, Oriel Tiago Kölln et al. · International Journal of Remote Sensing · 2018 · 83 citations

Agriculture, Agronomy, Crop Sciences +17

Generalized space-time classifiers for monitoring sugarcane areas in Brazil

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Jansle Vieira Rocha et al. · Remote Sensing of Environment · 2018 · 63 citations

Agriculture, Food Science, Plant Sciences +13

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Daniel Garbellini Duft et al. · Computers and Electronics in Agriculture · 2021 · 57 citations

Agriculture, Crop Sciences, Forestry +17

Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region

Cecília Lira Melo de Oliveira Santos, Rubens Augusto Camargo Lamparelli, Gleyce Kelly Dantas Araújo Figueiredo et al. · Remote Sensing · 2019 · 56 citations · Full text

Natural Sciences, Earth Sciences, Crop Sensing +16

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Jansle Vieira Rocha et al. · International Journal of Applied Earth Observation and Geoinformation · 2019 · 48 citations · Full text

Natural Resources, Geography, Geoinformatics +17