L
Leandro Parente
Researcher at Universidade Federal de Goiás
Publications - 22
Citations - 918
Leandro Parente is an academic researcher from Universidade Federal de Goiás. The author has contributed to research in topics: Biome & Land use. The author has an hindex of 7, co-authored 17 publications receiving 291 citations. Previous affiliations of Leandro Parente include Francisco Gavidia University.
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Journal ArticleDOI
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Carlos Souza,Julia Z. Shimbo,Marcos R. Rosa,Leandro Parente,Ane Alencar,Bernardo Friedrich Theodor Rudorff,Heinrich Hasenack,Marcelo Matsumoto,Laerte Guimarães Ferreira,Pedro Walfir M. Souza-Filho,Sergio W. de Oliveira,Washington de Jesus Sant'Anna da Franca Rocha,Antônio V. Fonseca,Camila B. Marques,Cesar Guerreiro Diniz,Diego Pereira Costa,Dyeden Monteiro,Eduardo R. Rosa,Eduardo Vélez-Martin,Eliseu Jose Weber,Felipe E. B. Lenti,Fernando F. Paternost,Frans G. C. Pareyn,João V. Siqueira,José L. Viera,Luiz C. Ferreira Neto,Marciano Saraiva,Marcio H. Sales,Moises Pereira Galvao Salgado,Rodrigo Antunes de Vasconcelos,Soltan Galano,Vinícius Vieira Mesquita,Tasso Rezende de Azevedo +32 more
TL;DR: A novel approach and the results achieved by a multi-disciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine are described.
Journal ArticleDOI
Assessing the pasturelands and livestock dynamics in Brazil, from 1985 to 2017: A novel approach based on high spatial resolution imagery and Google Earth Engine cloud computing
Leandro Parente,Vinícius Vieira Mesquita,Fausto Miziara,Luis Rodrigo Fernandes Baumann,Laerte Guimarães Ferreira +4 more
TL;DR: In this article, the authors have mapped, annually and in an unprecedented way, the totality of the Brazilian pastures, from 1985 to 2017, based on Landsat image processing via machine learning methods in a cloud computing platform (Google Earth Engine).
Journal ArticleDOI
African Soil Properties and Nutrients Mapped at 30--m Spatial Resolution using Two-scale Ensemble Machine Learning
Tomislav Hengl,Matt Miller,Josip Križan,Keith D. Shepherd,Andrew Sila,Milan Kilibarda,Ognjen Antonijević,Luka Glusica,Achim Dobermann,Stephan M. Haefele,Steve P. McGrath,Gifty E. Acquah,Jamie Collinson,Leandro Parente,Mohammadreza Sheykhmousa,Kazuki Saito,Jean-Martial Johnson,Jordan Chamberlin,Francis B.T. Silatsa,Martin Yemefack,John Wendt,R. A. MacMillan,Ichsani Wheeler,Jonathan Crouch +23 more
TL;DR: In this article, a 30m resolution Soil Information System of Africa (SIS of Africa) of the African continent is presented using the most comprehensive compilation of soil samples collected at field point locations by various government and/or NGO funded projects.
Journal ArticleDOI
Monitoring the brazilian pasturelands: A new mapping approach based on the landsat 8 spectral and temporal domains
Leandro Parente,Laerte Guimarães Ferreira,Adriano Faria,Sérgio Nogueira,Fernando Moreira de Araújo,Lana Mara Silva Teixeira,S. Hagen +6 more
TL;DR: This study utilized the entire set of Landsat 8 images available for Brazil in 2015, from which dozens of seasonal metrics were derived, to produce, through objective criteria and automated classification strategies, a new pasture map for the country.
Journal ArticleDOI
Assessing the Spatial and Occupation Dynamics of the Brazilian Pasturelands Based on the Automated Classification of MODIS Images from 2000 to 2016
TL;DR: The results of this study suggest the existence of two relevant moments for the Brazilian pasture land uses, strongly supported by the opening of new grazing areas between 2000 and 2005 and mostly occurred in the Deforestation Arc and in the Matopiba regions.