@Article{ContiAraúCunh:2016:SpDaMo,
author = "Conti, Luis Am{\'e}rico and Ara{\'u}jo, Carlos Alberto Sampaio
de and Cunha-Lignon, Mar{\'{\i}}lia",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Estadual Paulista
(UNESP)}",
title = "Spatial database modeling for mangrove forests mapping; example of
two estuarine systems in Brazil",
journal = "Modelling Earth Systems and Enrironment",
year = "2016",
volume = "2",
number = "73",
month = "June",
keywords = "Remote sensing GIS Time change detection Subtropical wetland
Coastal zone management Conservation Geospatial database Intr.",
abstract = "This work considers mangrove cover changes in two subtropical
estuaries in the southeastern coast of Brazil: Canane´ia-Iguape
Coastal System and Santos Estuarine System. A sequence of Landsat
images from 1985 to 2014 from both areas was segmented, classified
and analyzed in order to develop a systematic GIS approach for
identifying and characterizing mangrove fragments in such
estuaries and how they change over time. The main goal of our work
is to propose a unified hierarchical spatial database model in a
GIS framework developed to incorporate different types of spatial
information such as spectral (e.g. vegetation indices), spatial
(e.g. fragmentation indices) and temporal (e.g. change detection)
at different scales. The examples analyzed showed that changes and
fluctuations in mangrove habitats could be identified and
characterized revealing potential tools for handling and analyzing
data focused on environmental monitoring and the coastal resource
protection and conservation.",
doi = "10.1007/s40808-016-0129-3",
url = "http://dx.doi.org/10.1007/s40808-016-0129-3",
issn = "2363-6203",
language = "en",
targetfile = "conti_spatial.pdf",
urlaccessdate = "28 abr. 2024"
}