scholarly journals Utilização de Geotecnologias: Diagnóstico Ambiental do Estuário do Rio Acaraú, Ceará, Como Estudo de Caso

2007 ◽  
Vol 34 (2) ◽  
pp. 33
Author(s):  
MARIA VALDIRENE ARAÚJO ◽  
GEORGE SATANDER SÁ FREIRE

The Acaraú basin is located to the west of Fortaleza, capital from Ceará state and, it covers an area of 14.500Km² being considered the second largest basin in this state. The study area, which covers 80Km², is in the estuary of the Acaraú river, embracing the munipality of Acaraú and Cruz in the west. The research intended to analyze the geo-environmental conditions, to analyze the use process and occupation and the environmental impacts, as well as to characterize the resident population in the area and to conserve the natural resources in order to guarantee their use by the next generations. The used methodology included pertinent bibliography, pictures and satellite images with good resolution as the images of Quickbird. The geoprocessing activities involved images digital processing of remote sensing and the integration of data in structure of SIG (System of Geographical Information). The obtained results consisted in the integrated environmental analysis generating a proposal of environmental zoning.

2013 ◽  
Author(s):  
Maria Valdirene Araújo ◽  
George Satander Sá Freire

A Bacia do Acaraú está localizada a oeste da capital cearense e compreende uma área de 14.500Km²sendo considerada a segunda maior bacia hidrográfica do Ceará. A área da pesquisa compreendeu aregião do estuário do rio Acaraú com 80Km², abrangendo o município de Acaraú e Cruz a oeste. Apesquisa teve como objetivos analisar as condições geoambientais, analisar o processo de uso e ocupaçãoe os impactos ambientais, bem como levar uma conscientização à população residente na área e deconservar os recursos da natureza de maneira sustentável de forma a garantir para as gerações futuras.Como metodologia foram utilizadas bibliografias pertinentes à área, fotografias e imagens de satélitesmultitemporais e com boa resolução como as imagens do Quickbird e também imagens Landsat. Asatividades de geoprocessamento envolveram o processamento digital de imagens de sensoriamentoremoto e a integração de dados em estrutura de SIG (Sistema de Informação Geográfica). Os resultadosobtidos foram; a poluição do rio, a degradação do manguezal devido à expansão da carcinicultura, ocrescimento urbano da cidade de Acaraú e como forma de diminuir os impactos foi sugerida a criação deuma Área de Proteção Ambiental e um programa intensivo de educação ambiental com a população local.Palavras-chave: Análise ambiental, manguezal, estuário. ABSTRACT: The Acaraú basin is located to west of the capital from Ceará and it understands an area of 14.500Km² beingconsidered the second largest Ceará basin. The area the research understood the area the estuary of the Acaraúriver 80Km², embracing the munipality of Acaraú and Cruz in the west. The research has for objectives to analyzethe geo- environmental conditions, to analyze the use process and occupation and the environmental impacts, aswell as to take an understanding to the resident population in the area and of conserving the resources of naturein maintainable way to guarantee for the next generations. As methodology were used pertinent bibliographiesto the subject, pictures and of satellites images and with good resolution as the images of Quickbird and alsoLandsat images. The geo-processing activities involved images digital processing of remote sensing and theintegration of data in structure of SIG (System of Geographical Information). The obtained results were;the pollution of the river, the degradation of the growth of mangroves due to expansion of the shrimp farm,the urban growth of the city of Acaraú and as form of reducing the impacts was suggested the creation of anEnvironmental Protection Area and an intensive program of environmental education with the local population.Keywords: Environmental analysis, mangroves, estuary.


Author(s):  
Sheron Henry Christy

Remote sensing is a very good alternative technology for managing natural resources as compared to conventional technologies. This paper highlights the various challenges in UAS sensors. Comparison of IRS-P6 and Land Sat sensors is described from accuracy point of view by covering same areas by both the sensors which gives the performance features of both the sensors. Inter sensor calibration is depicted to realize its importance in applications like precision farming, disaster management, etc. requiring multiple dated satellite images.


2011 ◽  
Vol 3 (3) ◽  
pp. 157
Author(s):  
Daniel Rodrigues Lira ◽  
Maria do Socorro Bezerra de Araújo ◽  
Everardo Valadares De Sá Barretto Sampaio ◽  
Hewerton Alves da Silva

O mapeamento e monitoramento da cobertura vegetal receberam consideráveis impulsos nas últimas décadas, com o advento do sensoriamento remoto, processamento digital de imagens e políticas de combate ao desmatamento, além dos avanços nas pesquisas e gerações de novos sensores orbitais e sua distribuição de forma mais acessível aos usuários, tornam as imagens de satélite um dos produtos do sensoriamento remoto mais utilizado para análises da cobertura vegetal das terras. Os índices de cobertura vegetal deste trabalho foram obtidos usando o NDVI - Normalized Difference Vegetation Index para o Agreste central de Pernambuco indicou 39,7% de vegetação densa, 13,6% de vegetação esparsa, 14,3% de vegetação rala e 10,5% de solo exposto. O NDVI apresentou uma caracterização satisfatória para a classificação do estado da vegetação do ano de 2007 para o Agreste Central pernambucano, porém ocorreu uma confusão com os índices de nuvens, sombras e solos exposto, necessitando de uma adaptação na técnica para um melhor aprimoramento da diferenciação desses elementos, constituindo numa recombinação de bandas após a elaboração e calculo do NDVI.Palavras-chave: Geoprocessamento; sensoriamento remoto; índice de vegetação. Mapping and Quantification of Vegetation Cover from Central Agreste Region of Pernambuco State Using NDVI Technique ABSTRACTIn recent decades, advanced techniques for mapping and monitoring vegetation cover have been developed with the advent of remote sensing. New tools for digital processing, the generation of new sensors and their orbital distribution more accessible have facilitated the acquisition and use of satellite images, making them one of the products of remote sensing more used for analysis of the vegetation cover. The aim of this study was to assess the vegetation cover from Central Agreste region of Pernambuco State, using satellite images TM / LANDSAT-5. The images were processed using the NDVI (Normalized Difference Vegetation Index) technique, generating indexes used for classification of vegetation in dense, sparse and scattered. There was a proportion of 39.7% of dense vegetation, 13.6% of sparse vegetation, 14.3% of scattered vegetation and 10.5% of exposed soil. NDVI technique has been used as a useful tool in the classification of vegetation on a regional scale, however, needs improvement to a more precise differentiation among levels of clouds, shadow, exposed soils and vegetation. Keywords: Geoprocessing, remote sensing, vegetation index


2018 ◽  
Vol 36 (2) ◽  
pp. 876
Author(s):  
Θ. Αστάρας ◽  
Κ. Βουβαλίδης ◽  
Δ. Οικονομίδης

The purpose of the study was the precise delineation and mapping of alluvial fans, locating in mountainous areas of Northern Greece, by the use of: a) LANDSAT/TM and TERRA/ASTER satellite images (pixel size 30 m and 15-90 m respectively), b) topographic and geological maps and c) ground truth procedure (visiting the test sites). The digital processing of the satellite images was performed with EASI/PACE software. False Colour Composite (FCC) images, that helped to the better delineation of the fans, were derived by various image processing techniques, such as contrast stretching, ratioing, Principal Components Analysis (PCA),etc. The above processed images were imported into a Geographical Information System (GIS) and they were georeferenced to UTM Projection System. Next, the delineated (on the images) fans were digitized and overlaid to topographic and geological maps. From the above procedure and in comparison to ground-truth observations, it was concluded that the boundaries of the alluvial fans appear more precisely on the satellite images than in geological and topographic maps. The results of this study could be useful to geomorphologists dealing with morphological study and analysis of the alluvial fans. Also, they could be helpful to the improvement and updating of the present geological maps, by defining the boundaries of the fans mere precisely. Finally, conclusions can be drawn concerning the sorting of the materials comprising the fans. This information could be useful to hydrogeologists, since the alluvial fans are usually rich in water content.


Author(s):  
Kadir Temurçin ◽  
Gizem Uluşar

Remote Sensing is a method of examination used in the study of resources on earth without any physical contact. It is a method by which the characteristics of the land below are recorded from space and sky. Determining the characteristics of natural and cultural resources of earth, sustainable exploitation of these resources in the most effective ways and continuous monitoring of the changes in these resources are fundamental to being a developed country. For a sustainable land use and urbanization, data about the unstable natural environment must be collected and monitored at regular intervals, and in order to do these, Remote Sensing (RS) and Geographical Information Systems (GIS) are employed. Images obtained through RS method can be analyzed for the accurate use of the data available. This study seeks to determine the spatial development in and around the city of Isparta through digital imaging processing techniques on different satellite images which belong to different years. Images from satellites ASTER and LANDSAT; information on the quarters in Isparta and the city plan and ERDAS IMAGINE 9.1 program were used in the study. The spatial development of the city of Isparta was studied on the basis of the satellite images obtained in the years 1987, 2000 and 2010 and this study was integrated into GIS. Having analyzed how much change occurred and which way it trended, important information was collected which will be used as source for future studies to be carried out on Isparta. It was observed that while residential areas increased, amount of forested land, and agricultural areas decreased during the periods studied.


2019 ◽  
Vol 75 ◽  
pp. 01012 ◽  
Author(s):  
Mikhail Noskov ◽  
Valeriy Tutatchikov ◽  
Mikhail Lapchik ◽  
Marina Ragulina ◽  
Tatiana Yamskikh

In modern systems of remote sensing two-dimensional fast Fourier transform (FFT) has been widely used for digital processing of satellite images and subsequent image filtering. This article provides a parallel version two-dimensional fast Fourier transform algorithm, analog of the Cooley-Tukey algorithm and its implementation for processing the satellite image of Krasnoyarsk and its suburban areas.


2021 ◽  
Vol 333 ◽  
pp. 01012
Author(s):  
Valeriy Tutatchikov ◽  
Mikhail Noskov

In modern systems, remote sensing widespread two-dimensional fast Fourier transform (FFT) for processing satellite images and the subsequent image filtering. In this paper we consider the possibility of using combinations of high and low frequency filters to improve global images terrestrial surface.


2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Sara Abdollahi ◽  
Meysam Madadi ◽  
Kaveh Ostad-Ali-Askari

AbstractDust is a phenomenon occurring in most parts of the world causing financial loss and adverse environmental effects and impacts. Many parameters are involved in dust phenomenon occurrence, some of which are natural and some of them are due to human processes and their influence on the environment. Monitoring the environmental changes can be worthwhile and efficient procrastination the occurrence of this phenomenon. In this research, we scrutinized the Persian and English database in a structured way using dust keywords, heavy metals, remote sensing, geographical information systems and statistical methods. Articles taking into consideration these three fields were retrieved, analyzed descriptively and reported. In accordance with this methodology, the study was conducted in a period from 1992 to 2016. Findings: Among the methods used, the method of interpolation, zoning of dust and their distribution with GIS is more applicable, and among satellite images, MODIS images are the most applicable ones. The results obtained from this study indicated that statistical methods, remote sensing and geographical information system are among effective tools in studying germane researches done on dust monitoring and detection.


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