@InProceedings{PinagéXiScMaLoSaHu:2017:ReAmSl,
author = "Pinag{\'e}, Ekena Rangel and Xie, Zunyi and Scaranello, Marcos
Augusto and Ma, Xuanlong and Longo, Marcos and Santos, Maiza Nara
dos and Huete, Alfredo",
title = "Relationships among slope, canopy height and vegetation greenness
over coastal wet tropical forests in Australia and Brazil",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1979--1986",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The factors that determine the occurrence, composition and
structure of tropical forests and their functional responses to
climate change are still not well understood. Remote sensing
provides valuable tools for investigating these factors at
multiple temporal and spatial scales. This paper aims to 1)
explore the influence of topography on canopy height over complex
terrain coastal tropical forest sites in Australia and Brazil; and
2) examine the relationship between vegetation greenness and
canopy height at these forests. We used canopy height and terrain
slope data derived from airborne lidar observations and Enhanced
Vegetation Index (EVI) and Normalized Difference Vegetation Index
(NDVI) from Landsat 8 imagery. Our results revealed different
relationships between canopy heights and local topography. Over
the Brazilian site, canopy height was significantly lower over
flat slopes (0-10\⁰), intermediate for gentle slopes
(10-30\⁰) and higher for steep slopes (>30\⁰). Such
relationship, however, was not observed over the Australian
tropical forest site. Meanwhile, the Brazilian site showed
significant differences in canopy greenness associated to
different slope ranges, while the Australian site showed
significant differences only for NDVI in two slope comparisons. We
found no strong correlations between vegetation greenness and
canopy height. Our results indicated site-specific relationships
amongst canopy height, topography and VIs values, which might be
attributed to distinct disturbance regimes and local environmental
conditions, as well as bidirectional reflectance distribution
function (BRDF) effects. Our findings thus highlight the influence
of local context on the sensitivity of vegetation greenness to
canopy structural properties.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59771",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLPNJ",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPNJ",
targetfile = "59771.pdf",
type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
urlaccessdate = "27 abr. 2024"
}