P
Paulo Tarso Sanches de Oliveira
Researcher at Federal University of Mato Grosso do Sul
Publications - 106
Citations - 3010
Paulo Tarso Sanches de Oliveira is an academic researcher from Federal University of Mato Grosso do Sul. The author has contributed to research in topics: Universal Soil Loss Equation & Surface runoff. The author has an hindex of 23, co-authored 96 publications receiving 1913 citations. Previous affiliations of Paulo Tarso Sanches de Oliveira include University of São Paulo & Agricultural Research Service.
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Journal ArticleDOI
Global rainfall erosivity assessment based on high-temporal resolution rainfall records
Panos Panagos,Pasquale Borrelli,Katrin Meusburger,Bofu Yu,Andreas Klik,Kyoung Jae Lim,Jae E. Yang,Jinren Ni,Chiyuan Miao,N. Chattopadhyay,Seyed Hamidreza Sadeghi,Zeinab Hazbavi,Mohsen Zabihi,Gennady A. Larionov,Sergey F. Krasnov,Andrey V. Gorobets,Yoav Levi,Gunay Erpul,Christian Birkel,Natalia Hoyos,Victoria Naipal,Paulo Tarso Sanches de Oliveira,Carlos A. Bonilla,Mohamed Meddi,Werner Nel,Hassan Al Dashti,Martino Boni,Nazzareno Diodato,Kristof Van Oost,Mark A. Nearing,Cristiano Ballabio +30 more
TL;DR: The first ever Global Rainfall Erosivity Database was used to develop a global erosivity map at 30 arc-seconds based on a Gaussian Process Regression(GPR), where the tropical climate zone has the highest mean rainfall erosivities followed by the temperate whereas the lowest mean was estimated in the cold climate zone.
Journal ArticleDOI
Rainfall erosivity in Brazil: A review
TL;DR: In this paper, the authors reviewed the erosivity studies conducted in Brazil to verify the quality and representativeness of the results generated and to provide a greater understanding of the rainfall erosivities in Brazil.
Journal ArticleDOI
Trends in water balance components across the Brazilian Cerrado
Paulo Tarso Sanches de Oliveira,Mark A. Nearing,M. Susan Moran,David C. Goodrich,Edson Wendland,Hoshin V. Gupta +5 more
TL;DR: In this article, the authors assess the water balance of the Brazilian Cerrado based on remotely sensed estimates of precipitation (TRMM), evapotranspiration (MOD16), and terrestrial water storage (GRACE) for the period from 2003 to 2010.
Journal ArticleDOI
Soil erosion modelling: A global review and statistical analysis.
Pasquale Borrelli,Pasquale Borrelli,Pasquale Borrelli,Christine Alewell,Pablo Alvarez,Jamil Alexandre Ayach Anache,Jantiene Baartman,Cristiano Ballabio,Nejc Bezak,Marcella Biddoccu,Artemi Cerdà,Devraj Chalise,Songchao Chen,Walter W. Chen,Anna Maria De Girolamo,Gizaw Desta Gessesse,Detlef Deumlich,Nazzareno Diodato,Nikolaos Efthimiou,Gunay Erpul,Peter Fiener,Michele Freppaz,Francesco Gentile,Andreas Gericke,Nigussie Haregeweyn,Bifeng Hu,Amelie Jeanneau,Konstantinos Kaffas,Mahboobeh Kiani-Harchegani,Ivan Lizaga Villuendas,Changjia Li,Luigi Lombardo,Manuel López-Vicente,Manuel Esteban Lucas-Borja,Michael Märker,Francis Matthews,Chiyuan Miao,Matjaž Mikoš,Sirio Modugno,Markus Möller,Victoria Naipal,Mark A. Nearing,Stephen Owusu,Dinesh Panday,Edouard Patault,Cristian Valeriu Patriche,Laura Poggio,Raquel de Castro Portes,Laura Quijano,Mohammad Reza Rahdari,Mohammed Renima,Giovanni Francesco Ricci,Jesús Rodrigo-Comino,Sergio Saia,Aliakbar Nazari Samani,Calogero Schillaci,Vasileios Syrris,Hyuck Soo Kim,Diogo Noses Spinola,Paulo Tarso Sanches de Oliveira,Hongfen Teng,Resham Thapa,Konstantinos Vantas,Diana Vieira,Jae E. Yang,Shuiqing Yin,Demetrio Antonio Zema,Guangju Zhao,Panos Panagos +68 more
TL;DR: This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses.
Journal ArticleDOI
NDVI time series for monitoring RUSLE cover management factor in a tropical watershed
Valdemir Lucio Durigon,Daniel Fonseca de Carvalho,Mauro Antonio Homem Antunes,Paulo Tarso Sanches de Oliveira,M. M. Fernandes +4 more
TL;DR: In this article, the authors evaluated soil cover in a Brazilian Atlantic rainforest watershed using NDVI time series from Thematic Mapper TM Landsat 5 imagery from 1986 to 2009, and introduced a new method for calculating the cover management factor C-factor of the Revised Universal Soil Loss Equation RUSLE model.