@InProceedings{CapanemaEsca:2017:GeInEs,
author = "Capanema, Vin{\'{\i}}cius do Prado and Escada, Maria Isabel
Sobral",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Degrada{\c{c}}{\~a}o Florestal na Amaz{\^o}nia:
Gera{\c{c}}{\~a}o de um Indicador Espacial de Suscetibilidade
{\`a} Degrada{\c{c}}{\~a}o Florestal",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "6994--7001",
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 = "Forest degradation and deforestation are responsible for the
decrease in the area of pristine forests in Amazon. The remote
sensing and GIS tools use facilitate the study and the
understanding of these striking phenomena in the forest. Thus,
this study aimed to generate a susceptibility spatial index of
forest degradation using a grid of 1km2, considering variables
generated from data of deforestation, fire, road network,
sustainable forestry management plans, indigenous lands and
density edges. Two different methods were tested for variable
integration: simple and weighted average. The influence of
landscape metrics in the susceptibility index generation was
tested. The method that obtained the best result was the simple
average. Through this method, a new susceptibility spatial index
of forest degradation was generated using 2014 year data. The
results showed that the most susceptible areas are close to the
largest density hotspots and road network. The results also showed
the great influence of edge landscape metric in the forest
degradation susceptibility index when comparing with the index
generated without this variable.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59753",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMETF",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMETF",
targetfile = "59753.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "27 abr. 2024"
}