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This study focused on the evolution of the Guamare coastline, Rio Grande do Norte State, Brazil, using remote sensing and geographic information system (GIS) technology. We used theGeoProcessing Wizard extension of the ArcView GIS 3.2 software (ESRI, Redlands, California) for the time analysis of the coastline's evolution during three timeframes, w...
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... Utilizou-se o limite terra/mar para demarcação precisa da linha de costa, considerando a diferença das áreas submersas e emersas a partir do realce de tais aspectos. Adotou-se o sistema de cor Red-Green-Blue (RGB) com as bandas espectrais combinadas e manipuladas pelo histograma de contraste (Amaro et al., 2014;Camara et al., 2019;Grigio et al., 2005;Prudêncio, 2019;Silva, 2015). ...
Because of the need for protection, conservation, planning of tourism activities and occupation along the coastal regions, it is necessary to monitor the processes associated with the transformation of this type of highly dynamic and complex landscape. Thus, this paper aimed at the regionalized monitoring of shoreline modifications in the municipality of Beberibe, in the state of Ceará (Northeastern Brazil), between the years 1979 to 2019 through the use of historical images from the LANDSAT series. For quantification of area loss and gain, as a function of coastal dynamics, 4 main sectors were sectioned and the Change Polygon methods were applied, already for the calculation of variation, amplitude and mobility of the beach line statistical rates were generated through the Digital Shoreline Analysis System (DSAS) tool in the predefined sectors. It was identified that the greatest coastal variability is related to Sector 1, and that the smallest decadal variation of the coastline is associated with the cliffs of the Barrier Formation present in Study Sector 4. It was found that this variation between sectors is directly related to the main morphological features found and with the scale of analysis employed.
... Quando inverso, o valor -1 estiver na primeira coluna e o valor zero na segunda coluna a acresção é que atuou nesse intervalo. E quando as duas colunas apresentarem algarismos zero, significa que não houve modificação (Grigio et al., 2005). ...
As variações da linha de costa podem ocasionar prejuízos para o desenvolvimento do Estado e para projetos de engenharia. Dessa maneira os planos de gerenciamento costeiro devem levar em consideração as informações referentes ao posicionamento da linha de costa no passado para entender o comportamento atual e futuro. Neste contexto, esse presente estudo teve por finalidade analisar o comportamento da linha de costa em resposta a dinâmica natural e as ações antrópicas no município de São Gonçalo do Amarante, no estado do Ceará, através de análise multitemporal de imagens de satélite da série Landsat em um intervalo de 36 anos (1984-2020) com auxílio da extensão DSAS do software ArcGis por meio do método Linear Regression Rate. Na qual, foi possível interpretar duas fases bem marcantes: durante a construção do porto, marcado pela ação intensa da erosão que ocasionou diversos prejuízos ambientais e, após a construção do porto, manifestou-se os processos deposicionais. Dessa forma, esse estudo enfatiza que o município de São Gonçalo do Amarante, tem sofrido alterações na dinâmica local costeira e afetado a capacidade natural dos sistemas em responder efetivamente a eventos climáticos extremos, tornando assim essas regiões mais vulneráveis.
Palavras-chaves: Linha de costa, Porto do Pecém, DSAS, dinâmica costeira.
... Since then, several studies have aimed to describe how those coastal processes occurred, to elucidate their causes Vital 2006;Rios et al. 2016) and to make predictions about the evolution of the shoreline (Franco et al. 2012). Other studies have sought to model the coastal dynamics (Castro et al. 2011) and to indicate the most vulnerable areas to coastal changes and oil spills (Castro et al. 2003;Grigio et al. 2005;Vital 2006;Vital et al. 2018). ...
This study aimed to quantify the morphological variations of the tropical mesotidal barrier-spit systems (MBs) in Northeast Brazil to understand their evolution. Therefore, Landsat 5 TM and Landsat 8 OLI images were used to construct two multitemporal analyses: one in 4-year intervals (low frequency) and another in 1-year intervals (high frequency). The results revealed that the coastal dynamic was so intense that only high-frequency analysis could represent its evolutionary behavior. Low-frequency analysis, on the other hand, could lead to the misinterpretation of the data. Despite the strong coastal dynamic, there was a long-term equilibrium in the areas occupied by the MBs. Furthermore, regarding evolutionary behavior, there were two different types of MBs: migrant and stationary. Migrant MB movement resulted from the joint actions of the meteo-oceanographic forcings that generally push the whole barrier westward, conserving its shape. The migration rate can reach 100 m per year. This process represents the visible and massive movement of sediment along the shore. The changes observed in most MBs, whether migrant or stationary, reflect their ephemeral nature and must serve as a warning for human interventions.
... In order to consider this limitation, the use of the methodology developed by Grigio et al. (2005), was proposed to determine the susceptibility of erosion, given the practicality, low cost of its use, ease, efficiency and, mainly, because it can determine whether the trends in action of accretion or erosion processes are short or longterm, depending only on the availability of remote sensing products to the location in study. In view of the above, the aim of this paper is to contribute to the improvement of the methodology that assesses the potential for economic damage due to shoreline erosion, in particular, to overcome the limitation of the establishment of behavior trends in the shoreline in the long-term. ...
... Thus, to establish the sensitivity of erosion, the multitemporal analysis of the shoreline was performed, through remote sensing data and geographic information system. Remote sensing products consisted of the following scenes: Unlike other studies (Grigio et al., 2005;Amaro et al., 2014), this period was not divided into other minors, the absence of coastal work that modified the sediment budget. The use of only two dates to determine erosion and accretion rates is an useful and simple technique, especially when there were no substantial changes of anthropic origin, as in the case of Areia Branca (RN, Brazil), these changes can be, for example, the construction of dikes or ports that interfere with the sediment budget of the shoreline (Ojeda Zújar, 2000). ...
... After the images are in the same coordinate system (SIRGAS 2000 UTM 24 South) a base/reference polygon was established, which has the limits of the area of interest, used in the cutting of images ( Figure 2). The next phase consisted of digital processing of image (Grigio et al., 2005). ...
Erosion is a phenomenon that can promote the retreat of the shoreline in various regions in the world. Currently, perceived the damage caused by this phenomenon in the economy, the environment and the society. With this, methodologies emerged to determine coastal erosion rates. These methodologies have evolved and today it is possible to determine implications of coastal erosion in other economic activities, such as tourism, for example. Another technique was designed to determine the potential of economic damage due to coastal erosion. This methodology, however, presents limitation for determining the long-term erosion behavior. Thus, the objective of this paper was to overcome this limitation, in order to improve the methodology that defines the potential of economic damage due to coastal erosion. It was found in this paper that the multi-temporal analysis of products of remote sensing allows to overcome this limitation. For the evaluation and discussion, the Municipality of Areia Branca (RN, Brazil) was chosen, where the potential for economic damage to coastal erosion observed was of medium intensity. Methodologies that assess coastal erosion and its potential for economic
damage should be continuously conceived and improved in order to better understand the erosive process and its economic implications.
... Uma dessas técnicas é o processamento digital de imagens utilizadas foram o realce linear de contraste e razão de bandas mediante NDWI (Normalized Diferrence Water Index) que é a relação (verde -infravermelho / verde + infravermelho) das faixas do espectro eletromagnético (Mcfeeters, 1996). O NDWI utilizado em conjunto com as bandas do verde e do infravermelho (RGB-infravermelho-verde-NDWI) possibilita uma boa distinção da linha de costa pautada nas cores com tons amarelos, para areia, e azuis, para águas oceânicas (Grigio et al., 2005). ...
A erosão costeira ocorre em várias partes do mundo. Ela, por vezes, destrói equipamentos e casas próximos da linha de costa causando prejuízos econômicos. No Estado do Ceará existem trechos que estão retrogradando, exemplo clássico é da área próxima do Porto do Mucuripe (Fortaleza). Diante do exposto, o objetivo deste estudo foi analisar a evolução da linha de costa de todo o Estado do Ceará, dentro da escala temporal de 1984 a 2018. Para alcançar esse objetivo foram realizados o processamento digital de imagens de satélite, confecção de mapas de variação da linha de costa e quantificação das áreas de progradação e retrogradação. Em termos matemáticos, na zona costeira do Ceará houve equilíbrio dinâmico entre os processos de acreção e erosão, contudo, existem alguns hotspots de erosão nos diferentes setores do litoral. Há necessidade de monitoramento contínuo da zona costeira em diferentes escalas espaciais e temporais para melhor compreensão do comportamento costeiro, bem como políticas que inibam a ocupação deletéria a essa região.
... Some studies use a single band image (Frazier et al., 2000) while other studies use a band ratio (Guariglia et al., 2006) or a combination of different reflective bands to improve surface water detection (Du et al., 2012). For instance, the Normalized Difference Water Index (McFeeters, 1996) was used to enhance the difference in pixel resolution between land and water in shoreline extraction (Bouchahma and Yan, 2012;Grigio et al., 2005;Noernberg and Marone, 2003). Also, the Normalized Difference Moisture Index (Wilson and Sader, 2002), the Modified Normalized Difference Water Index (Xu, 2006), the Water Ratio Index (Shen and Li, 2010), the Normalized Difference Vegetation Index (Rouse Jr et al., 1974) and the Automated Water Extraction Index (Feyisa et al., 2014) also found wide application. ...
... Some studies use a single band image (Frazier and Page, 2000), while other studies use a band ratio (Guariglia et al., 2006) or a combination of different reflective bands to improve surface water detection (Du et al., 2012). For instance, the Normalized Difference Water Index (McFeeters, 1996) was used to enhance the difference in pixel resolution between land and water in shoreline extraction (Bouchahma and Yan, 2012;Grigio et al., 2005;Noernberg and Marone, 2003). Also, the Normalized Difference Moisture Index (Wilson and Sader, 2002), the Modified Normalized Difference Water Index (Xu, 2006), the Water Ratio Index (Shen and Li, 2010), the Normalized Difference Vegetation Index (Rouse et al., 1974), and the Automated Water Extraction Index (Feyisa et al., 2014) also found wide application. ...
... Some studies use a single band image (Frazier and Page, 2000), while other studies use a band ratio (Guariglia et al., 2006) or a combination of different reflective bands to improve surface water detection (Du et al., 2012). For instance, the Normalized Difference Water Index (McFeeters, 1996) was used to enhance the difference in pixel resolution between land and water in shoreline extraction (Bouchahma and Yan, 2012;Grigio et al., 2005;Noernberg and Marone, 2003). Also, the Normalized Difference Moisture Index (Wilson and Sader, 2002), the Modified Normalized Difference Water Index (Xu, 2006), the Water Ratio Index (Shen and Li, 2010), the Normalized Difference Vegetation Index (Rouse et al., 1974), and the Automated Water Extraction Index (Feyisa et al., 2014) also found wide application. ...
Shoreline-change data are of primary importance for understanding coastal erosion and deposition as well as for
studying coastal morphodynamics. Shoreline extraction from satellite images has been used as a low-cost alternative and
as an addition to traditional methods. In this work, satellite-derived shorelines and corresponding shoreline-change
rates and changes in volumes of coastal sediments have been estimated and evaluated for the case of the data-rich NorthHolland coast. This coast is globally unique for its long in situ monitoring record and provides a perfect case to evaluate
the potential of shoreline mapping techniques. A total of 13 Landsat images and 233 observed cross-shore profiles (from
the JAaRlijkse KUStmeting [JARKUS] database) between 1985 and 2010 have been used in this study. Satellite-derived
shorelines are found to be biased in seaward direction relative to the JARKUS-derived shorelines, with an average
ranging 8 m to 9 m over 25 years. Shoreline-change rates have been estimated using time series of satellite-derived
shorelines and applying linear regression. The satellite-derived shoreline-change rates show a high correlation
coefficient (R2 >0.78) when compared with the JARKUS-derived shoreline-change rates over a period of 20 and 25 years.
Volume changes were calculated from the satellite-derived shoreline-change rates using assumptions defining a closure
depth. Satellite-derived volume changes also show a good agreement with JARKUS-based values. Satellite-derived
shorelines compare better with in situ data on beaches that have intertidal zone widths ranging from one- to two-pixel
sizes (30 m–60 m). The results show that the use of Landsat images for deriving shorelines, shoreline-change rates, and
volume changes have accuracies comparable to observed JARKUS-based values when considering decadal scales of
measurements. This shows the potential of applying Landsat images to monitor shoreline change and coastal volume
change over decades.
... Esta zona costeira é composta por sistema de ilhas barreiras e esporões arenosos, com praias arenosas oceânicas e abrigadas, campos dunares, falésias, canais de maré e estuarinos, feições geoambientais submetidas à ação intensa de processos costeiros, que promovem amplas variações na conformação da linha de costa, com setores de intensa dinâmica de erosão/deposição de sedimentos Santos & Amaro, 2013;Santos et al., 2014). Os transportes eólico e litorâneo são responsáveis pelas alterações no balanço sedimentar dos ambientes arenosos, promovendo a abertura e o fechamento de canais de marés e a formação de novas ilhas barreiras e barras arenosas (Grigio et al., 2005;Chaves et al., 2006;Souto, 2009;Nascimento, 2009;Santos & Amaro, 2013 ...
... Some studies use a single band image (Frazier and Page, 2000), while other studies use a band ratio (Guariglia et al., 2006) or a combination of different reflective bands to improve surface water detection (Du et al., 2012). For instance, the Normalized Difference Water Index (McFeeters, 1996) was used to enhance the difference in pixel resolution between land and water in shoreline extraction (Bouchahma and Yan, 2012;Grigio et al., 2005;Noernberg and Marone, 2003). Also, the Normalized Difference Moisture Index (Wilson and Sader, 2002), the Modified Normalized Difference Water Index (Xu, 2006), the Water Ratio Index (Shen and Li, 2010), the Normalized Difference Vegetation Index (Rouse et al., 1974), and the Automated Water Extraction Index (Feyisa et al., 2014) also found wide application. ...
Shoreline-change data are of primary importance for understanding coastal erosion and deposition as well as for studying coastal morphodynamics. Shoreline extraction from satellite images has been used as a low-cost alternative and as an addition to traditional methods. In this work, satellite-derived shorelines and corresponding shoreline-change rates and changes in volumes of coastal sediments have been estimated and evaluated for the case of the data-rich North-Holland coast. This coast is globally unique for its long in situ monitoring record and provides a perfect case to evaluate the potential of shoreline mapping techniques. A total of 13 Landsat images and 233 observed cross-shore profiles (from the JAaRlijkse KUStmeting [JARKUS] database) between 1985 and 2010 have been used in this study. Satellite-derived shorelines are found to be biased in seaward direction relative to the JARKUS-derived shorelines, with an average ranging 8 m to 9 m over 25 years. Shoreline-change rates have been estimated using time series of satellite-derived shorelines and applying linear regression. The satellite-derived shoreline-change rates show a high correlation coefficient (R²> 0.78) when compared with the JARKUS-derived shoreline-change rates over a period of 20 and 25 years. Volume changes were calculated from the satellite-derived shoreline-change rates using assumptions defining a closure depth. Satellite-derived volume changes also show a good agreement with JARKUS-based values. Satellite-derived shorelines compare better with in situ data on beaches that have intertidal zone widths ranging from one- to two-pixel sizes (30 m-60 m). The results show that the use of Landsat images for deriving shorelines, shoreline-change rates, and volume changes have accuracies comparable to observed JARKUS-based values when considering decadal scales of measurements. This shows the potential of applying Landsat images to monitor shoreline change and coastal volume change over decades.
