scholarly journals GEOMÁTICA APLICADA NA ANÁLISE DO CONFLITO DE USO DO SOLO EM ÁREAS DE PRESERVAÇÃO PERMANENTE

2019 ◽  
Vol 34 (4) ◽  
pp. 544-551
Author(s):  
Gabriel Rondina Pupo da Silveira ◽  
Sérgio Campos ◽  
Aline Kuramoto Gonçalves ◽  
Fernanda Leite Ribeiro ◽  
Yara Manfrin Garcia
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Satellite Image ◽  
Drainage Network ◽  
Environmental Legislation ◽  
Environmental Preservation ◽  
Thematic Map ◽  
E Mail ◽  
Area Planning

GEOMÁTICA APLICADA NA ANÁLISE DO CONFLITO DE USO DO SOLO EM ÁREAS DE PRESERVAÇÃO PERMANENTE   GABRIEL RONDINA PUPO DA SILVEIRA 1, SÉRGIO CAMPOS 1, ALINE KURAMOTO GONÇALVES 1, FERNANDA LEITE RIBEIRO2, YARA MANFRIN GARCIA1   1Departamento Engenharia Rural, FCA/UNESP/Botucatu, Fazenda Experimental Lageado, Av. Universitária, nº 3780 - Altos do Paraíso, Botucatu - SP, 18610-03, e-mails: [email protected], [email protected], [email protected], [email protected].  2 Departamento de Geociências, U niversidade Estadual de Londrina (UEL), Rodovia Celso Garcia Cid - Pr 445 Km 380 Cx. Postal 10.011 - Campus Universitário, PR, 86057-970, e-mail: [email protected].   RESUMO: O trabalho visou obter o uso do solo da bacia do rio Araquazinho – São Manuel (SP) utilizando imagem de satélite e técnicas geomáticas na determinação das Áreas de Preservação Permanentes (APPs) e conflitos existentes na área. As bases cartográficas foram cartas planialtimétricas em formato digital georreferenciadas. O SIG-IDRISI Selva foi utilizado para realizar o georreferenciamento da imagem, geração dos buffers de APPs e o overlay para obtenção dos conflitos de uso além da confecção do mapa temático final. No software CartaLinx realizou-se a delimitação da área de estudo e delimitação dos elementos (limite, rede de drenagem e das áreas de uso e cobertura). O uso do solo da bacia mostrou que o uso da cana-de-açúcar foi a classe que ocupou 86,82 % (5815,63 ha) da área. As áreas de conflito mostraram que a maior parte das APPs, equivalente a 109,70 ha, estão sendo usadas para outros fins. As Áreas de Preservação Permanente e seus conflitos mostraram que uma boa parte da área da bacia em estudo precisa de cuidados com relação a legislação ambiental. Desta forma, o mapa temático permitiu o mapeamento da área gerando dados que auxiliarão nos futuros planejamentos de recuperação da área.   Palavras-chaves: Sistema de Informação Geográfica, Geoprocessamento, Preservação Ambiental   GEOMATICS APPLIED IN CONFLICT ANALYSIS OF LAND USE IN PERMANENT PRESERVATION AREAS   ABSTRACT: This study aim obtaining the land use of Araquazinho River watershed, São Manuel, SP, using satellite image and geomatic techniques to determine the Permanent Preservation Areas (PPAs) and area conflicts. The cartographic bases were digital georeferenced planialtimetrics cards. The SIG-IDRISI Selva was used to image georeferencing, generation of PPAs buffers, in the overlay to obtain the conflicts use and to generate the final thematic map. In CartaLinx was done the delimitation of study area and elements (limit, drainage network and areas of use and coverage). Soil use showed that sugarcane use was the class that occupied 86.82% (5815.63 ha) area. The conflict areas showed that most of the PPA, equivalent of 109.70 ha, is being used for other purposes. Permanent Preservation Areas and their conflicts have shown that a big part of watershed needs to be taken care in relation to environmental legislation. So, the thematic map can allow mapping the area generating data that can assist in future recovery area planning.   Keywords: Geographic Information System, Geoprocessing, Environmental preservation.

TÉCNICAS DE GEOPROCESSAMENTO NA CARACTERIZAÇÃO DE APPS NUMA MICROBACIA, EM FUNÇÃO DA LEGISLAÇÃO AMBIENTAL

2017 ◽  
Vol 32 (2) ◽  
pp. 184
Author(s):  
Sergio Campos ◽  
Gabriel Rondina Pupo da Silveira ◽  
Yara Manfrin Garcia ◽  
Mariana De Campos ◽  
Marcelo Campos
Keyword(s):  
Land Use ◽  
Supervised Classification ◽  
Satellite Image ◽  
Geographical Information ◽  
Environmental Legislation ◽  
Environmental Preservation ◽  
Recovery Planning ◽  
Short Time

Esse trabalho objetivou a utilização de técnicas de geoprocessamento na discriminação de classes de uso e ocupação do solo em áreas de APP, permitindo a constatação de futuras intervenções antrópicas que auxiliarão em fiscalizações ambientais. A microbacia com 183,19ha, situa-se entre as coordenadas geográficas 22o 44’ 41” a 22o  45’ 41” de latitude S e 48o 24’ 13” a 48o 25’ 01” de longitude WGr.  A base cartográfica utilizadas foi a carta topográfica de Botucatu para o georreferenciamento da imagem de satélite de 2008. O SIG-IDRISI Selva foi utilizado na classificação supervisionada e a determinação dos mapas temáticos. O uso da terra mostrou que a pastagem ocupa a maior parte da área (85,61%), mostrando com isso a predominância da pecuária regional. A imagem de satélite e a utilização do SIG mostraram-se importantes ferramentas, fornecendo resultados confiáveis num pequeno intervalo de tempo. Os dados obtidos auxiliarão nos futuros planejamentos de recuperação da microbacia, possibilitando verificar que a área não vem sendo ambientalmente preservada, pois a mesma apresenta somente 14,38% de vegetação e água, sendo que o mínimo exigido pela legislação do Código Florestal Brasileiro vigente é de 20%.PALAVRAS-CHAVE: Legislação ambiental, sistema de informação geográfica, preservação ambiental. GEOPROCESSING TECHNIQUES IN THE CHARACTERIZATION OF APPS IN MICROBABY, IN THE FUNCTION OF ENVIRONMENTAL LEGISLATIONABSTRACT: This work aimed at the use of geoprocessing techniques in the discrimination of classes of land use and occupation in areas of PPA, allowing the confirmation of future anthropogenic interventions that will aid in environmental inspections. The microbasin with 183.19 ha lies between the geographic coordinates 22o 44' 41"at 22o 45' 41" latitude S and 48o 24' 13"at 48o 25' 01" WGr longitude. The cartographic base used was the Botucatu topographic chart for the georeferencing of the satellite image of 2008. The SIG-IDRISI Selva was used in the supervised classification and the determination of thematic maps. Land use showed that pasture occupies most of the area (85.61%), thus showing the predominance of regional livestock. Satellite imagery and the use of GIS have proved to be important tools, providing reliable results in a short time. The data obtained will aid in the future recovery planning of the microbasin, making it possible to verify that the area is not environmentally preserved, since it presents only 14.38% of vegetation and water, and the minimum required by the Brazilian Forestry Code is of 20%.KEYWORDS: Environmental legislation, geographical information system, environmental preservation. 

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 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 PEMANFAATAN CITRA SATELIT LANDSAT 8 UNTUK MEMETAKAN SEBARAN TITIK PANASSEBAGAI INDIKASI PENINGKATAN SUHU PERMUKAAN TANAH DI KABUPATEN KUTAI TIMUR

2021 ◽  
Vol 46 (3) ◽  
pp. 383
Author(s):  
Donny Dhonanto ◽  
Nurul Puspita Palupi ◽  
Ghaisani Salsabila
Keyword(s):  
Land Use ◽  
Information System ◽  
Data Analysis ◽  
Geographic Information System ◽  
Surface Temperature ◽  
Land Surface ◽  
Maximum Temperature ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Area Distribution

 Transformation of land-use cause forest area decrease that will affect microclimate (weather tends heat), thus hotspot may possible to scattered in that area and raise the transformation of surface temperature. The objective of this research is to determine the indication of surface temperature in the East Kutai District. The advantage of this research is to give information about hotspot area distribution based on land use and relate between hotspots with surface temperature increase so it is supposed to be one of the consider to transform land use in East Kutai District. This research was held from April until May 2019 at the Laboratory of Carthography and Geographic Information System, Faculty of Agriculture, Mulawarman University. This research using calculation of Land Surface Temperature (LST) value to determine the transformation of surface temperature in East Kutai District by data analysis from Landsat-8 OLI/TIRS satellite. Hotspot area distribution adapted to map of land-use so we found the source of the hotspot. The result of the research shows there are about 6 hotspots in land-use of plantation in 2017 and the increase of the surface temperature is not static cause by depending of rainfall in East Kutai District. Increasing of surface temperature in East Kutai District in October 2013 become 22.35 oC (for minimum temperature), whereas in May 2017 become 37.24 oC (for maximum temperature). 

scholarly journals The comparative analysis of selected interactive data presentation techniques on the example of the land use structure in the commune of Tomice

2016 ◽  
Vol 48 (3) ◽  
pp. 115-127
Author(s):  
Karol Król ◽  
Barbara Prus
Keyword(s):  
Land Use ◽  
Information System ◽  
Comparative Analysis ◽  
Geographic Information System ◽  
Input Data ◽  
Technical Specification ◽  
Data Presentation ◽  
Land Use Structure ◽  
Programming Tools ◽  
Interactive Data

Abstract The authors present the results of a comparative analysis of selected techniques and programming tools for building interactive data presentation in the form of diagrams and maps generated in the browser. The results of an inventory of land use structure, which are a part of a geographic information system database of the commune of Tomice in district of Wadowice, were employed as input data. The research has shown that the tested tools have a similar design capacity; which makes it difficult to determine which of them is the best. Different factors contribute to choosing a particular tool. They include technical specification, project budget, license conditions, technical support and visualization possibilities.

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.

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