Parcourir par Auteur Cirad

Regional model to predict sugarcane yield using sentinel‑2 imagery in São Paulo State, Brazil. Amaro Rafaella Pironato, Christina Mathias, Todoroff Pierre, Le Maire Guerric, Fiorio Peterson Ricardo, De Carvalho Pereira Ester, Dos Santos Luciano Ana Claudia. 2024. Sugar Tech, 11 p.

https://doi.org/10.1007/s12355-024-01468-z

Integrating carbon footprint to spatialized modeling: The mitigation potential of sugarcane ethanol production in the Brazilian Center-South. Palma Petrielli Gabriel, Pessoa Nogueira Guilherme, de Souza Henzler Daniele, Rinke Dias de Souza Nariê, Berbert Bruno Karina Maria, dos Santos Luciano Ana Cláudia, Le Maire Guerric, Hernandes Thayse Aparecida Dourado. 2023. Resources, Conservation and Recycling, 189:106725, 12 p.

https://doi.org/10.1016/j.resconrec.2022.106725

Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using landsat imagery and generalized space-time classifiers. Luciano Ana Cláudia dos Santos, Campagnuci Bruna Cristina Gama, Le Maire Guerric. 2022. Remote Sensing Applications: Society and Environment, 26:100749, 12 p.

https://doi.org/10.1016/j.rsase.2022.100749

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm. dos Santos Luciano Ana Cláudia, Araújo Picoli Michelle Cristina, Garbellini Duft Daniel, Vieira Rocha Jansle, Lima Verde Leal Manoel Regis, Le Maire Guerric. 2021. Computers and Electronics in Agriculture, 184:106063, 10 p.

https://doi.org/10.1016/j.compag.2021.106063

Classification of crops, pastures, and tree plantations along the season with multi-sensor image time series in a subtropical agricultural region. de Oliveira Santos Cecília Lira Melo, Lamparelli Rubens Augusto Camargo, Dantas Araújo Figueiredo Gleyce Kelly, Dupuy Stéphane, Boury Julie, dos Santos Luciano Ana Cláudia, da Silva Torres Ricardo, Le Maire Guerric. 2019. Remote Sensing, 11 (3):334, 27 p.

https://doi.org/10.3390/rs11030334

Prévisualisation

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm. dos Santos Luciano Ana Cláudia, Picoli Michelle Cristina Araújo, Vieira Rocha Jansle, Garbellini Duft Daniel, Camargo Lamparelli Rubens Augusto, Lima Verde Leal Manoel Regis, Le Maire Guerric. 2019. International Journal of Applied Earth Observation and Geoinformation, 80 : 127-136.

https://doi.org/10.1016/j.jag.2019.04.013

Generalized space-time classiﬁers for monitoring sugarcane areas in Brazil. dos Santos Luciano Ana Cláudia, Araújo Picoli Michelle Cristina, Vieira Rocha Jansle, Franco Henrique Coutinho Junqueira, Martineli Sanches Guilherme, Lima Verde Leal Manoel Regis, Le Maire Guerric. 2018. Remote Sensing of Environment, 215 : 438-454.

https://doi.org/10.1016/j.rse.2018.06.017

Semiautomatic classification of sugarcane areas from Random Forest algorithm and OLI/Landsat-8 images. Luciano Ana Cláudia dos Santos, Picoli Michelle Cristina Araújo, Rocha Jansle Vieira, Silva Alexsandro Cândido de Oliveira, Le Maire Guerric. 2016. In : Simposio Internacional en Percepción Remota y Sistemas de Información Geográfica. Puerto Iguazú : SELPER, 13 p. Simposio Internacional SELPER 2016. 17, Puerto Iguazú, Argentine, 7 Novembre 2016/11 Novembre 2016.

Format d'export	RSS 1.0 RSS 2.0