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Assessing the capability of MODIS to monitor mixed pastures with high-intensity...

Silva, Yane de Freitas da, 1990-; Reis, Aliny Aparecida dos; Werner, João Paulo Sampaio, 1993-; Valadares, Rafael Vasconcelos

Abstract: MODIS time series carries valuable long-term data essential to support several studies such as biogeochemical modelling. However, there is a lack of validation studies applying MODIS data at a fine-scale to monitor pasture management practices. In this study, we assessed the potential of MODIS sensor in monitoring at a fine-scale four intensively managed mixed-pastures fields located in São Paulo Stat...

Data: 2021   |   Origem: Oasisbr

Monitoring pasture aboveground biomass and canopy height in an integrated crop–...

Reis, Aliny Aparecida dos; Werner, João Paulo Sampaio, 1993-; Silva, Bruna Caroline da, 1990-; Figueiredo, Gleyce Kelly Dantas Araújo, 1984-

Abstract: Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial resolutions offered by the new generation of orbital platforms, such as Planet CubeSat satellites, have improved the capability of monitoring pasture biomass using remotely sensed data. Here, we assessed the feasibilit...

Data: 2020   |   Origem: Oasisbr

A generalized space-time OBIA classification scheme to map sugarcane areas at r...

Luciano, Ana Claudia dos Santos, 1989-; Rocha, Jansle Vieira, 1961-; Lamparelli, Rubens Augusto Camargo, 1955-; Leal, Manoel Regis Lima Verde

Agradecimentos: This work was supported by the Brazilian Bioethanol Science and Technology Laboratory/United Nations Development Program (CTBE/UNDP)-funded "Sugarcane Renewable Electricity (SUCRE)" project BRA/10/G31; the Brazilian Research Council, CNPq (grant number 454292/2014-7); the Brazilian Coordination for the Improvement of Higher Education Personnel, CAPES (grant number 88882.143488/2017-01); the Micr...

Data: 2019   |   Origem: Oasisbr

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