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Silvio Henrique Menezes Gomes

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

DOWNLOADS

143

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Assessing Forest Degradation Impacts on Amazon REDD+ Projects Using Uav-Lidar System

Number of pages: 23 Posted: 29 Jan 2025
Leo Haneda, Pedro H. S. Brancalion, Denis Valle, Carlos Alberto Silva, Eric Bastos Görgens, Gabriel Atticciati Prata, Renan Akio Kamimura, Silvio Henrique Menezes Gomes, Arthur Sanchez and Danilo R. A. Almeida
University of Florida, University of São Paulo (USP), University of Florida - School of Forest, Fisheries, and Geomatics Sciences, University of Florida, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 86 (783,685)

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Forestry, Edge effect, forest structure, Carbon stock, Tropical Forest, Remote Sensing

2.

Nonparametric Quantification of Uncertainty in Multistep Upscaling Approaches: A Case Study on Estimating Forest Biomass in the Brazilian Amazon

Downloads 57 (989,921)

Nonparametric Quantification of Uncertainty in Multistep Upscaling Approaches: A Case Study on Estimating Forest Biomass in the Brazilian Amazon

Number of pages: 36 Posted: 29 Aug 2024
Denis Valle, Leo Haneda, Rafael Izbicki, Renan Akio Kamimura, Bruna Azevedo, Silvio Henrique Menezes Gomes, Arthur Sanchez, Carlos Alberto Silva and Danilo R. A. Almeida
University of Florida - School of Forest, Fisheries, and Geomatics Sciences, University of Florida, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Florida and affiliation not provided to SSRN
Downloads 31 (1,341,098)

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forest biomass, Carbon, Machine learning, uncertainty, upscaling, lidar

Nonparametric Quantification of Uncertainty in Multistep Upscaling Approaches: A Case Study on Estimating Forest Biomass in the Brazilian Amazon

Number of pages: 35 Posted: 26 Jun 2024
Denis Valle, Leo Haneda, Rafael Izbicki, Renan Akio Kamimura, Bruna Azevedo, Silvio Henrique Menezes Gomes, Arthur Sanchez, Carlos Alberto Silva and Danilo R. A. Almeida
University of Florida - School of Forest, Fisheries, and Geomatics Sciences, University of Florida, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Florida and affiliation not provided to SSRN
Downloads 26 (1,415,710)

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forest biomass, carbon, machine learning, uncertainty, upscaling, LiDAR