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Leo Haneda

University of Florida

PO Box 117165, 201 Stuzin Hall

Gainesville, FL 32610-0496

United States

  • University of Florida

SCHOLARLY PAPERS

4

DOWNLOADS

199

TOTAL CITATIONS

0

Scholarly Papers (4)

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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 83 (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 31 (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

3.

Identifying data gaps and extrapolation areas when creating maps: a data-density approach

Downloads 44 (1,145,425)

Identifying data gaps and extrapolation areas when creating maps: a data-density approach

Number of pages: 34 Posted: 25 Oct 2025
Denis Valle, Ismael Brack, Leo Haneda and Rafael Izbicki
University of Florida - School of Forest, Fisheries, and Geomatics Sciences, University of Florida, University of Florida and affiliation not provided to SSRN
Downloads 35 (1,296,409)

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area of applicability, extrapolation, interpolation, spatial prediction, data density, feature combination

Identifying data gaps and extrapolation areas when creating maps: a data-density approach

Number of pages: 39 Posted: 02 Apr 2026
Denis Valle, Ismael Brack, Leo Haneda and Rafael Izbicki
University of Florida - School of Forest, Fisheries, and Geomatics Sciences, University of Florida, University of Florida and affiliation not provided to SSRN
Downloads 9 (1,614,412)

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area of applicability, extrapolation, interpolation, spatial prediction, data density, predictive uncertainty

4.

Local Uncertainty Maps for Land-Use/Land-Cover Classification Without Remote Sensing and Modeling Work Using a Class-Conditional Conformal Approach

Number of pages: 33 Posted: 02 Jul 2024
Denis Valle, Rodrigo Leite, Rafael Izbicki, Leo Haneda and Carlos Alberto Silva
University of Florida - School of Forest, Fisheries, and Geomatics Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Florida and University of Florida
Downloads 41 (1,170,409)

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conformal statistics, classification uncertainty, land-use land-cover, LULC, Image classification