scholarly journals AVALIAÇÃO MORFORMETRICA E DO USO E OCUPAÇÃO DA TERRA DA BACIA HIDROGRÁFICA DO CÓRREGO SANTO ANTÔNIO- SÃO FRANCISCO XAVIER (SP)

2019 ◽  
Vol 34 (01) ◽  
pp. 105-112
Author(s):  
Aline Kuramoto Gonçalves ◽  
Zacarias Xavier De Barros ◽  
Gabriel Rondina Pupo da Silveira ◽  
Yara Manfrin Garcia
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Rural Areas ◽  
Geographic Information ◽  
Sao Paulo ◽  
Environmental Conservation ◽  
Natural Vegetation ◽  
São Paulo ◽  
Circularity Index

AVALIAÇÃO MORFORMETRICA E DO USO E OCUPAÇÃO DA TERRA DA BACIA HIDROGRÁFICA DO CÓRREGO SANTO ANTÔNIO- SÃO FRANCISCO XAVIER (SP)   ALINE KURAMOTO GONÇALVES1; ZACARIAS XAVIER DE BARROS2; GABRIEL RONDINA PUPO DA SILVEIRA3; YARA MANFRIN GARCIA⁴   Departamento de Engenharia Rural, FCA/UNESP, Av. Universitária, nº 3780, Altos do Paraíso, 18610-034, Botucatu – SP, Brasil, 1 [email protected]; [email protected]; [email protected]; 4 [email protected]   RESUMO: Este trabalho teve como objetivo mapear as classes de uso e ocupação da terra e análise morfométrica da bacia hidrográfica do Córrego Santo Antônio, no distrito de São Francisco Xavier, São José dos Campos, São Paulo, com a utilização do Sistema de Informação Geográfica (SIG) ArcGIS versão 10.3, a carta topográfica do município de Monteiro Lobato- SP e ortofotos do projeto Mapeia São Paulo. Foram avaliados diversos parâmetros morfométricos como coeficiente de compacidade, índice de circularidade, densidade de drenagem, ordem dos cursos d’água, comprimento total dos cursos d’água e o uso e ocupação da terra. A bacia possui de 520,7ha e tendo o formato alongada, favorecendo o escoamento superficial, maior energia erosiva e baixa propensão a ocorrência de inundações. Os elementos físicos apresentam conservados devido a Área de Proteção Ambiental (APA), assegurando a sua preservação O uso e ocupação da terra compreendem em área urbana, sedes rurais, estrada rural, área agrícola, pastagem e vegetação natural, sendo o uso mais significante a vegetação natural (470 ha) representa 90,2%, seguido pela pastagem (40 ha) no total de 7,68% da área total da bacia hidrográfica. Tais resultados auxiliaram na decisão do planejamento e gerenciamento dos recursos naturais, diante das legislações ambientais.   Palavras-chaves: Sistema de Informação Geográfica, morfometria, conservação ambiental.   MORPHOMETRIC EVALUATION AND USE AND LAND OCCUPATION OF SANTO ANTONIO WATERSHED - SAO FRANCISCO XAVIER (SP)   ABSTRACT: The aim of this work was to map the land use,occupation classes and morphometric analysis of the Santo Antonio stream watershed, in Sao Francisco Xavier district, Sao Jose dos Campos, Sao Paulo, using the Geographic Information System (GIS) - ArcGIS version 10.3, the topographic map of the municipality of Monteiro Lobato-SP and orthophotos of Mapeia Sao Paulo project. Several morphometric parameters were evaluated as compactness coefficient, circularity index, drainage density, order of watercourses, watercourses total length , land use and occupation. The watershed has 520.7 ha and your elongated shape favor superficial runoff, higher erosive energy and low flooding propensity. Physical elements are conserved due Environmental Protection Area (APA), ensuring their preservation. The land use and occupation comprises urban an rural areas, rural roads, agricultural areas, pastures and natural vegetation. From the total of watershed area, natural vegetation (470 ha) represents 90.2%, followed by pasture (40 ha) totaling 7.68% . Based on environmental legislation, these results helped in the decision of planning and management of the natural resources.   Keywords: Geographic Information System, morphometry, environmental conservation.  

scholarly journals CAPACIDADE DE USO DAS TERRAS DA BACIA DO RIBEIRÃO ÁGUA FRIA – BOFETE (SP)

Irriga ◽  
2002 ◽  
Vol 7 (2) ◽  
pp. 91-97
Author(s):  
Sergio Campos ◽  
Thiago Godinho dos Santos ◽  
Cristiane Lopes da Silva ◽  
Zacarias Xavier de Barros ◽  
Lincoln Gehring Cardoso
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Soil Conservation ◽  
Crop Productivity ◽  
Geographic Information ◽  
Sao Paulo ◽  
São Paulo ◽  
E Mail

CAPACIDADE DE USO DAS TERRAS DA BACIA DO RIBEIRÃO ÁGUA FRIA – BOFETE (SP)  Sérgio CamposThiago Godinho dos SantosCristiane Lopes da SilvaZacarias Xavier de BarrosLincoln Gehring CardosoDepartamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, CP 237, CEP 18603-970, Botucatu - SP, E-mail: [email protected].  1 RESUMO              A determinação da capacidade de uso das terras numa bacia é muito importante para o planejamento e uso do solo, pois o uso inadequado e sem planejamento dessas terras provocam a baixa produtividade das culturas.  Este trabalho visou definir as classes homogêneas de capacidade de uso da terra da bacia do Ribeirão Água Fria - Bofete (SP)  para atender ao planejamento de práticas de conservação do solo desta área.  A bacia situa-se entre as coordenadas geográficas 22o 58' 30`` a 23o  04' 30`` de latitude S e 48o 09' 30`` a 48o 18' 30`` de longitude W Gr., apresentando uma área de 9.180,12 hectares.  A carta de capacidade de uso da terra da bacia foi elaborada a partir da carta clinográfica  obtida por Santos et al. (1999), mapa pedológico do Estado de São Paulo (Oliveira et al., 1999), da tabela de julgamento de classes de capacidade de uso do solo (França, 1963) e das recomendações constantes no manual para levantamento utilitário do meio físico e classificação das terras no sistema de capacidade de uso (Lepsch et al., 1983).  A discriminação, o mapeamento e a quantificação das áreas das classes e subclasses de capacidade de uso pelo Sistema de Informação Geográfica - IDRISI apresentaram os seguintes valores:  IIIe,s - 517,020 ha (5,63%); IIIs - 863,150 ha (9,40%); IVe - 846,730 ha (9,23%); VIe - 871,110 ha (9,49%) e VIIe - 6082,115 ha (66,25%). Os resultados permitiram concluir que a bacia essencialmente constituída por 2/3 pela subclasse VIIe, ou seja, são terras que podem ser utilizadas por pastagens com uso moderado ou florestas, pois apresentam problemas complexos de erosão por causa de sua declividade. O Sistema de Informação Geográfica IDRISI permitiu através de seus módulos discriminar, mapear e quantificar as áreas das classes e subclasses de capacidade de uso das terras da bacia com rapidez e confiabilidade.   UNITERMOS: Capacidade de uso, unidades de solo, classes de declive, bacia hidrográfica.   CAMPOS, S., SANTOS, T.G., SILVA, C.L., BARROS, Z.X., CARDOSO, L.G.  LAND USE CAPACITY OF AGUA FRIA STREAM BASIN – BOFETE (SP)  2 ABSTRACT              The land use capacity determination is considered to be very important on land use planning, since its inadequate utilization can lead to low crop productivity. This work aimed to define the homogeneous classes of land use capacity of Agua Fria stream Basin – Bofete (SP) in order to help the soil conservation procedure planning in this area. The Basin is located from 22°58’30’’ to 23° 04’30’’ southern latitude and 48° 09’30’’ to 48°18’30’’ western longitude, in a 9180.12 ha area. The chart of land use capacity was established based on the clinographic chart by Santos et al. (1999), São Paulo state pedological map (Oliveira et al, 1999), class determination chart of soil use capacity (França, 1963) and the recommendations from the manual for physical environmental utilitary survey in the using capacity system (Lepsch et al, 1983). The determination, mapping and quantification of class and subclass areas of using capacity by the Geographic Information System – IDRISI presented the following values: IIIe,s – 517.020 ha (5.63%); IIIs 863.150 ha (9.40 %); IVe – 846.730 ha (9.23%); VIe – 871.110 ha (9.49 %) e VIIe – 6082.115 ha (66.25 %). The results allowed to conclude that the Basin is 2/3 essentially constituted by VIIe subclass, i.e., land that could be used for moderate grazing or forests, since it has complex erosion problems due to its slope. The Geographic Information System IDRISI by its modules enabled to discriminate, map and quantify the land use capacity class and subclass areas of the basin fast and reliably.  KEY-WORDS: Using capacity, soil unit, sloping class, hidrographic basin.

scholarly journals Metodologias de paisagens aplicadas ao patrimônio industrial ferroviário: a utilização do Sistema de Informação Geográfica no Complexo FEPASA (Jundiaí, Brasil) | Landscape methodologies applied to industrial railway heritage: the use of the Geographic Information System in the FEPASA Complex (Jundiaí, Brazil)

2021 ◽  
Vol 18 ◽  
pp. 1
Author(s):  
Milena Meira da Silva ◽  
Eduardo Romero de Oliveira
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Sao Paulo ◽  
São Paulo

Este estudo visa aprofundar o conhecimento sobre metodologias de identificação e análise de paisagem, a fim de explorar sua aplicabilidade ao patrimônio industrial ferroviário. Utiliza-se como objeto de estudo os bens protegidos da antiga Companhia Paulista de Estradas de Ferro, da cidade de Jundiaí, interior de São Paulo, atualmente conhecido como Complexo da Ferrovia Paulista Sociedade Anônima. A investigação baseia-se em consulta às metodologias internacionais de paisagem, que recomendam a utilização do Sistema de Informação Geográfica na identificação e análise do patrimônio. Por fim, compreende-se que o âmbito paisagístico identificado com o auxílio da ferramenta de georreferenciamento seja o mais indicado para se atuar no patrimônio industrial ferroviário, diferente da categoria de conjunto comumente adotada por órgãos de preservação na proteção dessa tipologia de bens.

scholarly journals Automated Classification of Agricultural Lands Using GIS and NES

2018 ◽  
Vol 7 (4.38) ◽  
pp. 1146
Author(s):  
V. K. Kalichkin ◽  
A. I. Pavlova ◽  
A. F. Petrov ◽  
V. A. Smolyakov
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Interpolation Method ◽  
Ground Surface ◽  
Geographic Information ◽  
Automated Classification ◽  
Stream Power ◽  
Stream Power Index

The article proposes the methodology for the automated classification of uplands using Geographic Information System (GIS) and Neural Expert System (NES). Quantitative indicators of topography are used as the basis of the proposed classification. A database consisting of topographic, soil, and land use maps was created using ArcGIS 10 geographic information system. A topologically correct digital elevation model (DEM) was created by the ANUDEM interpolation method. The DEM contains the following maps: hypsometric, steepness and slopes exposure, plan, profile, common curvature of the ground surface, and cumulative runoff maps. The boundaries of elementary surfaces (ES), which are homogeneous morphological formations, are established. Parameters characterizing the Stream Power Index (SPI) are taken into account. The essence of the proposed classification consists in attributing of ES to a certain group of lands based on aggregate of features. To do this, partial scales were created, containing indicators of topography, soil cover, land drainage conditions, as well as the degree of erosion development. The authors formed knowledge base for traning the NES using GIS database and partial scales of estimates. Teaching of neural network was carried out. The classification and topology of land was carried out by means of the NES. The uplands are distributed in flat and slightly convex areas. They are characterized by the following indicators: the curvature of the ground surface: plan curvature (0 – 0.03), profile curvature (0 – 0.15), common curvature (0 – 0.22); slope angles (less than 1.5о); horizontal dissection in elevation (less than 0.5 km/km2), vertical dissection (less than 5 m); and SPI (from -13.80 to -6.47). Electronic map of uplands of LLC «Salair» land-use area was created in the ArcGIS 10 environment.  

scholarly journals The Use of Remote Sensing and Geographic Information System Techniques to Determine Relationships between Land Use and Landform

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Tülay TUNÇAY ◽  
İlhami BAYRAMİN ◽  
Hasan Sabri ÖZTÜRK ◽  
Mümtaz KİBAR ◽  
Oğuz BAŞKAN
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information

Calculation of Land Consolidation Potential Based on GIS

2014 ◽  
Vol 580-583 ◽  
pp. 2769-2773
Author(s):  
Yan Hua Liu ◽  
Wei Qing Chen
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Land Consolidation ◽  
Cultivated Land ◽  
Thematic Maps ◽  
Residential Land ◽  
Rural Residential Land ◽  
In Virtue Of

Through the analysis of land use actuality, this paper summarizes the characteristics of land use, in virtue of geographic information system (GIS) platform, the database of land consolidation is constructed, combining with different calculation models of cultivated land and rural residential land consolidation potential, the consolidation potentials of cultivated land and rural residential land are calculated, and the thematic maps about land consolidation potential of each village and town in study area are mapped out. The results show that the land consolidation areas are mainly concentrated in the middle of study area.

Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?

2018 ◽  
Vol 15 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Jerome N. Rachele ◽  
Vincent Learnihan ◽  
Hannah M. Badland ◽  
Suzanne Mavoa ◽  
Gavin Turrell ◽  
...  
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Public Transport ◽  
Multinomial Logistic Regression ◽  
State Level ◽  
Geographic Information ◽  
Transport Services ◽  
Spatial Measures ◽  
Traffic Volumes

Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.

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