scholarly journals Integrated Remote Sensing and GIS for Calculating Shoreline Change in Rokan Estuary

2016 ◽  
Vol 1 ◽  
Author(s):  
Sigit Sutikno
Keyword(s):  
Remote Sensing ◽  
Shoreline Change ◽  
Remote Sensing And Gis ◽  
Ratio Method ◽  
Band Ratio ◽  
Regional Area ◽  
Accretion Rates ◽  
Remote Sensing Techniques ◽  
Analysis System ◽  
Landsat Satellite

This paper presents an application of satellite remote sensing techniques to detect and to<strong><em> </em></strong>analyze the spatial changes as well as quantify the shoreline change in Rokan estuary, Riau Province, Indonesia. Coastal zone of Rokan estuary, a place through which Rokan River flows into Malacca Strait is dynamically changed because of the hydrodynamic nature and high sediment transport in downstream of Rokan River. By integrating modern techniques of remote sensing and GIS (Geographic Information System), the rates of shoreline change would be easily and quickly determined for a regional area. Landsat satellite images were used with a combination of histogram thresholding and band ratio method for shoreline change detection for last 14 years from 2000 to 2014. The shoreline data then were adjusted for serving as an input for GIS tool to estimate the erosion and deposition rates. The statistical method called as LRR (Linear Regression Rate) in DSAS (Digital Shoreline Analysis System) was used in this study. The results of this study present shoreline changes map of Rokan estuary for last 14 years. Quantitatively, the shoreline of Rokan estuary is dynamically changed over a time because accretion rate is very high. The accretion rates in Halang, Barkey, and Serusai Island within 14 years are 67 m/yr, 53 m/yr, and 114 m/yr respectively.This occurs because

scholarly journals Integrated Remote Sensing and GIS for Calculating Shoreline Change in Rokan Estuary

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Sigit Sutikno
Keyword(s):  
Remote Sensing ◽  
Shoreline Change ◽  
Remote Sensing And Gis ◽  
Ratio Method ◽  
Band Ratio ◽  
Regional Area ◽  
Accretion Rates ◽  
Remote Sensing Techniques ◽  
Analysis System ◽  
Landsat Satellite

This paper presents an application of satellite remote sensing techniques to detect and to<strong><em> </em></strong>analyze the spatial changes as well as quantify the shoreline change in Rokan estuary, Riau Province, Indonesia. Coastal zone of Rokan estuary, a place through which Rokan River flows into Malacca Strait is dynamically changed because of the hydrodynamic nature and high sediment transport in downstream of Rokan River. By integrating modern techniques of remote sensing and GIS (Geographic Information System), the rates of shoreline change would be easily and quickly determined for a regional area. Landsat satellite images were used with a combination of histogram thresholding and band ratio method for shoreline change detection for last 14 years from 2000 to 2014. The shoreline data then were adjusted for serving as an input for GIS tool to estimate the erosion and deposition rates. The statistical method called as LRR (Linear Regression Rate) in DSAS (Digital Shoreline Analysis System) was used in this study. The results of this study present shoreline changes map of Rokan estuary for last 14 years. Quantitatively, the shoreline of Rokan estuary is dynamically changed over a time because accretion rate is very high. The accretion rates in Halang, Barkey, and Serusai Island within 14 years are 67 m/yr, 53 m/yr, and 114 m/yr respectively.This occurs because

scholarly journals Application of remote sensing and GIS in land use/land cover mapping and change detection in Shasha forest reserve, Nigeria

2014 ◽  
Vol XL-8 ◽  
pp. 613-616 ◽  
Author(s):  
O. S. Olokeogun ◽  
K. Iyiola ◽  
O. F. Iyiola
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Sustainable Forest Management ◽  
Cost Effective ◽  
Remote Sensing And Gis ◽  
Clear Understanding ◽  
Forest Reserve ◽  
Landsat Satellite

Mapping of LULC and change detection using remote sensing and GIS techniques is a cost effective method of obtaining a clear understanding of the land cover alteration processes due to land use change and their consequences. This research focused on assessing landscape transformation in Shasha Forest Reserve, over an 18 year period. LANDSAT Satellite imageries (of 30 m resolution) covering the area at two epochs were characterized into five classes (Water Body, Forest Reserve, Built up Area, Vegetation, and Farmland) and classification performs with maximum likelihood algorithm, which resulted in the classes of each land use. <br><br> The result of the comparison of the two classified images showed that vegetation (degraded forest) has increased by 30.96 %, farmland cover increased by 22.82 % and built up area by 3.09 %. Forest reserve however, has decreased significantly by 46.12 % during the period. <br><br> This research highlights the increasing rate of modification of forest ecosystem by anthropogebic activities and the need to apprehend the situation to ensure sustainable forest management.

scholarly journals Studi Laju Perubahan Garis Pantai di Pesisir Tenggara Bali Menggunakan Citra Satelit Landsat (Studi Kasus Kabupaten Gianyar dan Klungkung)

2017 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
I Nengah Jaya Nugraha ◽  
I Wayan Gede Astawa Karang ◽  
I Gusti Bagus Sila Dharma
Keyword(s):  
Landsat Imagery ◽  
Shoreline Change ◽  
Rate Of Change ◽  
Landsat 8 ◽  
Band Ratio ◽  
Preliminary Information ◽  
Landsat 7 ◽  
Combination Of Methods ◽  
Analysis System ◽  
The Impact

Erosion and abrasion are the events that led to the beach shoreline position changes. The impact of climate change is the rise in sea level also causes changes in the coastline. South East coast of Bali, especially along the coast Gianyar and Klungkung changing coastline. This study aims to identify and calculate the rate of shoreline change in Gianyar and Klungkung from 1995 to 2015. The study was a preliminary information shoreline change and do not analyze the causes such as tides, currents, waves, and wind. The method used remote sensing analysis with the extraction of the coastline from the Landsat 5 satellite images in 1995, Landsat 7 in 2005, and Landsat 8 2015. Landsat imagery analyzed by a combination of methods approach the threshold and band ratio of wave infrared and green. Image processing using software Quantum GIS 2.8 and System for Automated Geoscientific Analyses (SAGA) GIS 2.2, extention Digintal Shoreline Analysis System (DSAS) to make calculations transect coastline. The results of the analysis of overlaying identify coastline in Gianyar and Klungkung change at a rate that varies every village. The rate of change of coastline in Gianyar due to accretion between 0.5096 - 8.6074 m / yr, while due to erosion between -3.7343 to -1.3201 m / yr. The rate of change in Klungkung regency coastline due to accretion between 0.6337 - 2.6875 m / yr, while due to erosion between -8.8795 to -0.8833 m / yr.

Remote Sensing Techniques in Civil Engineering Surveys

1986 ◽  
Vol 2 (1) ◽  
pp. 119-124
Author(s):  
E. M. Amos ◽  
D. Blakeway ◽  
C. D. Warren
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Civil Engineering ◽  
Thermal Infrared ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensing Techniques ◽  
Landsat Satellite ◽  
False Colour

AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

scholarly journals Uma abordagem metodológica de Sensoriamento Remoto para o monitoramento da contaminação do rio Paraopeba pós-desastre de Brumadinho-MG

2021 ◽  
Vol 43 ◽  
pp. e36
Author(s):  
Neison Cabral Ferreira Freire ◽  
Admilson Da Penha Pacheco ◽  
Vinícius D'Lucas Bezerra Queiroz
Keyword(s):  
Remote Sensing ◽  
Spectral Band ◽  
Ratio Method ◽  
Landsat 8 ◽  
Surface Reflectance ◽  
Band Ratio ◽  
Hydrographic Basin ◽  
Search Area ◽  
Brazilian History ◽  
Sentinel 2

The following article aims to present and discuss the monitoring, through Remote Sensing, of the dirt displacement caused by the collapse of the Córrego do Feijão’s dam I of mining waste, which occurred on January 25, 2019, in the rural area of Brumadinho, a city located in the state of Minas Gerais, Brazil. This event is considered one of the greatest technoindustrial disasters in Brazilian history, placing in danger one of the largest hydrographic basin in Brazil: the São Francisco river basin. The search area comprises from where the sludge mud got in contact with the Paraopeba’s right bank to its mouth into the Três Marias Dam, adding up to approximately 315 km. For this monitoring the spectral band ratio method was utilized,  using images from the sensors MSI/Sentinel-2 and OLI/Landsat-8 captured at different dates, employing standardization of means and variances to harmonize the range of the surface reflectance values in each image.

scholarly journals Assessment of Rice Panicle Blast Disease Using Airborne Hyperspectral Imagery

2016 ◽  
Vol 10 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Takashi Kobayashi ◽  
Masashi Sasahara ◽  
Eiji Kanda ◽  
Kiyoshi Ishiguro ◽  
Shu Hase ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Imagery ◽  
Disease Incidence ◽  
Blast Disease ◽  
Rice Grain ◽  
Large Area ◽  
Potential Yield ◽  
Band Ratio ◽  
Panicle Blast ◽  
Remote Sensing Techniques

Rice blast disease occurs in rice production areas all over the world and is the most important disease in Japan. Remote sensing techniques may provide a mean for detecting disease intensity for large area without being subjected to raters. This study evaluated the use of airborne hyperspectral imagery to measure the severity of panicle blast in field crops. Hyperspectral remote sensing imagery was acquired at the dough stage of rice grain development in northern Japan. The most consistent relationship, with high R2 and low P, was the simple band ratio R498 to 515/R700 to 717 (i.e., the reflectance at 498 to 515-nm divided by the reflectance at 700- to 717-nm). The band ratio of R498 to 515/R700 to 717 increased significantly (P < 0.001) with increasing visual estimates of disease incidence, defined as the percentage of diseased spikelets (R2 = 0.83). Assessment of disease distribution and severity could provide useful information for making decisions regarding the necessity of fungicide application and estimate potential yield loss due to the disease.

scholarly journals Caracterização dos setores erosivos e deposicionais da linha de costa de Icapuí (CE) com base em produtos de sensoriamento remoto e técnicas de geoprocessamento

2020 ◽  
Vol 13 (1) ◽  
pp. 143
Author(s):  
Cláudio Ângelo Da Silva Neto ◽  
Cynthia Romariz Duarte ◽  
Michael Vandesteen Silva Souto ◽  
Eduardo Viana Freires ◽  
Willamys Rangel Nunes de Sousa ◽  
...  
Keyword(s):  
Far East ◽  
Shoreline Change ◽  
Temporal Analysis ◽  
Coastal Zones ◽  
Dynamic Features ◽  
Coastal Morphology ◽  
Erosion And Deposition ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
Landsat Satellite

A importância das zonas costeiras implica na necessidade de contínuos estudos relacionados ao monitoramento de seus processos. Neste contexto, a linha de costa representa uma das feições mais dinâmicas, e sua variabilidade é um indicador da erosão ou deposição costeira. A fim de avaliar as tendências de mudança da linha de costa do município de Icapuí, localizado no extremo leste do estado do Ceará, este trabalho envolveu a utilização de imagens orbitais do satélite Landsat, compondo uma série temporal de 30 anos com intervalos de cinco anos entre cada cena. Foram aplicados o Método de Mudança do Polígono e o Digital Shoreline Analysis System (DSAS) na caracterização da linha de costa, quantificando suas taxas de variação e balanço sedimentar em área. A área total foi setorizada em quatro porções, utilizando a morfologia costeira como critério de segmentação. Os resultados indicaram a existência de três hotspots de erosão e deposição, relacionados à desembocadura do riacho Arrombado, no setor leste; à desembocadura do estuário Barra Grande, que separa os setores centrais leste e oeste; e ao promontório de Ponta Grossa, que condiciona uma inflexão da linha de costa no setor oeste. Cada um destes setores apresenta dinâmica de deposição a barlamar e erosão a sotamar, com destaque para os processos acentuados de retrogradação entre as praias de Barreiras de Baixo e Barrinhas, no setor central oeste, e a forte dinâmica deposicional da praia de Ponta Grossa, no setor oeste. Identification of the erosive and depositional sectors of the Icapuí (CE) shoreline based on remote sensing products and geoprocessing techniques A B S T R A C TThe importance of coastal zones implies the need for continuous studies related to the monitoring of their processes. In this context, the shoreline represents one of the most dynamic features, and its variability is an indicator of erosion or coastal deposition. In order to evaluate the changing trends of the coast of the Icapuí city, located in the far east of the state of Ceará, this work involved the use of Landsat satellite orbital images, composing a 30-year time series with five-year intervals between each scene. The Polygon Change Method and the Digital Shoreline Analysis System (DSAS) were applied to characterize the shoreline, quantifying its variation rates and sedimentary balance in area. The total area was divided into four portions, using coastal morphology as a segmentation criterion. The results indicated the existence of three erosion and deposition hotspots, related to the Arrombado stream inlet, in the eastern sector; the Barra Grande estuary inlet, which separates the central east and west sectors; and the Ponta Grossa promontory, which conditions a shoreline inflection in the western sector. Each of these sectors has a deposition dynamic to updrift and erosion to downdrift, with prominence to the accentuated processes of retrogradation between the Barreiras de Baixo and Barrinhas beaches, in the central west sector, and the strong depositional dynamics of Ponta Grossa beach, in the west sector.Keywords: coastal erosion; shoreline change; temporal analysis.

scholarly journals MAPPING GLAUCONITE UNITES WITH USING REMOTE SENSING TECHNIQUES IN NORTH EAST OF IRAN

2014 ◽  
Vol XL-2/W3 ◽  
pp. 7-11 ◽  
Author(s):  
R. Ahmadirouhani ◽  
S. Samiee
Keyword(s):  
Remote Sensing ◽  
Ferric Iron ◽  
Silicate Mineral ◽  
Band Ratio ◽  
Spectral Angle Mapper ◽  
Shallow Marine ◽  
North East ◽  
Composition Methods ◽  
East Of Iran ◽  
Remote Sensing Techniques

Glauconite is a greenish ferric-iron silicate mineral with micaceous structure, characteristically formed in shallow marine environments. Glauconite has been used as a pigmentation agent for oil paint, contaminants remover in environmental studies and a source of potassium in plant fertilizers, and other industries. Koppeh-dagh basin is extended in Iran, Afghanistan and Turkmenistan countries and Glauconite units exist in this basin. In this research for enhancing and mapping glauconitic units in Koppeh-dagh structural zone in north east of Iran, remote sensing techniques such as Spectral Angle Mapper classification (SAM), band ratio and band composition methods on SPOT, ASTER and Landsat data in 3 steps were applied.

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