Use of Sentinel 2 imagery to estimate vegetation height in fragments of Atlantic Forest

Author:

Perez Gabriel Guariglia,Bourscheidt Vandoir,Lopes Luciano Elsinor,Takata Juliana Toshie,Ferreira Patrícia Alves,Boscolo Danilo

Funder

U.S. Department of State

Empresa Brasileira de Pesquisa Agropecuária

United States Agency for International Development

CNPq

U.S. Forest Service

FAPESP

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modeling,Modeling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference46 articles.

1. Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT;Accioly;Rev. Bras. de Eng. Agrícola e Ambiental,2002

2. Drought stress and carbon uptake in an Amazon forest measured with spaceborne imaging spectroscopy;Asner;Proc. Natl. Acad. Sci.,2004

3. Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region;Astola;Remote Sens. Environ.,2019

4. Feasibility of tundra vegetation height retrieval from Sentinel-1 and Sentinel-2 data;Bartsch;Remote Sens. Environ.,2020

5. Avaliação dos efeitos direcionais em fragmentos florestais: estudo de caso na região sul do Brasil;Breunig,2012

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