scholarly journals Web platform using digital image processing and geographic information system tools: a Brazilian case study on dengue

2015 ◽  
Vol 14 (1) ◽  
Author(s):  
Lourdes M Brasil ◽  
Marília M F Gomes ◽  
Cristiano J Miosso ◽  
Marlete M da Silva ◽  
Georges D Amvame-Nze
Keyword(s):  
Image Processing ◽  
Information System ◽  
Geographic Information System ◽  
Digital Image Processing ◽  
Digital Image ◽  
Geographic Information ◽  
Web Platform ◽  
Brazilian Case

scholarly journals Mapeamento das áreas verdes nos loteamentos urbanos do município de Goiânia-GO Brasil: uma análise espacial da conduta legislativa

2020 ◽  
pp. 105-121
Author(s):  
Fabrizia Nunes ◽  
◽  
Alex Santos ◽  
Helci Ramos ◽  
Rodrigo Santos ◽  
...  
Keyword(s):  
Image Processing ◽  
Information System ◽  
Geographic Information System ◽  
Digital Image Processing ◽  
Digital Image ◽  
Geographic Information ◽  
Master Plan ◽  
Federal Law ◽  
Future Scenario ◽  
Green Areas

Article measures the distribution of green areas within the subdivisions of the municipality of Goiânia. It aims to verify if the regulation presented in Federal Law 6.766/1979, which regulates the Parcelamento do solo urbano it is being fulfilled with regard to the reservation of at least 10% of the total subdivision for the green and leisure areas. This is mainly an observation for a future scenario, there is an expectation of reducing the metric to 7.5%, to be provided for in the draft law of the New Master Plan. To obtain the data, techniques of Digital Image Processing and analyzing with Geographic Information System were applied. The results were surprising, because of the 1.089 subdivisions analyzed, 512 allotments, equivalent to 47.02% of the area, have coverage of green and leisure areas, less than 10%, thus, not complying with the current regulations provided for in the legislation. For new the 7.5% metric, this number reduces to 458, which may compromise the losses of 2.1 km² of these spaces.

The Chronology of Geographic Information System Image Processing: A Case Study for Land Changes at Nusajaya, Iskandar Malaysia

2014 ◽  
Vol 20 (2) ◽  
pp. 435-438
Author(s):  
Norma Alias ◽  
Maizatul Nadirah Mustaffa ◽  
Zawanah Md. Zubaidin ◽  
Hafizah Farhah Saipan Saipol ◽  
Asnida Che Abd. Ghani
Keyword(s):  
Image Processing ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Land Changes

scholarly journals Modelagem espacial de áreas suscetíveis a inundações baseada em um modelo multicritério hibrido e Sistema de Informação Geográfica: um estudo de caso aplicado a bacia do Rio Bengalas

2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho
Keyword(s):  
Information System ◽  
Fuzzy Logic ◽  
Geographic Information System ◽  
River Basin ◽  
Analytical Hierarchy Process ◽  
Rio De Janeiro ◽  
Geographic Information ◽  
Flood Susceptibility ◽  
Hierarchy Process

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 

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