Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms-Reference-Cited by-同舟云学术

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Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

Published:2019-10 Issue: Volume:232 Page:111323
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Almeida Catherine Torres de,Galvão Lênio Soares^ORCID,Aragão Luiz Eduardo de Oliveira Cruz e,Ometto Jean Pierre Henry Balbaud,Jacon Aline Daniele,Pereira Francisca Rocha de Souza,Sato Luciane Yumie,Lopes Aline Pontes,Graça Paulo Maurício Lima de Alencastro,Silva Camila Valéria de Jesus,Ferreira-Ferreira Jefferson^ORCID,Longo Marcos^ORCID

Funder

Amazon Fund

CNPq

FAPESP

Brazilian Agricultural Research Corporation

US Forest Service

USAID

US Department of State

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference102 articles.

1. Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest;Anderson;Remote Sens. Environ.,2008

2. Detecting sugarcane “orange rust” disease using EO-1 Hyperion hyperspectral imagery;Apan;Int. J. Remote Sens.,2004

3. Quantifying forest canopy traits: imaging spectroscopy versus field survey;Asner;Remote Sens. Environ.,2015

4. Increasing biomass in Amazonian forest plots;Baker;Philos. Trans. R. Soc. B Biol. Sci.,2004

5. Attenuating the bidirectional texture variation of satellite images of tropical forest canopies;Barbier;Remote Sens. Environ.,2015

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