Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging

Medium-resolution satellite images have been widely used for the identification and quantification of irrigated areas by center pivot. These areas, which present predominantly circular forms, can be easily identified by visual analyses of these images. In addition to identifying and quantifying areas irrigated by center pivot, other information that is associated to these areas is fundamental for producing cadastral maps. The goal of this work was to generate cadastral mapping of areas irrigated by center pivots in the State of Minas Gerais, Brazil, with the purpose of supplying information on irrigated agriculture. Using the satellite CBERS2B/CCD, images were used to identify and quantify irrigated areas and then associate these areas with a database containing information about: irrigated area, perimeter, municipality, path row, basin in which the pivot is located, and the date of image acquisition.3,781 center pivots systems were identified. The smallest area irrigated was 4.6 hectares and the largest one was 192.6 hectares. The total estimated value of irrigated area was 254,875 hectares. The largest number of center pivots appeared in the municipalities of Unaí and Paracatu, with 495 and 459 systems, respectively. Cadastral mapping is a very useful tool to assist and enhance information on irrigated agriculture in the State of Minas Gerais.

Download Full-text

CENÁRIO DA ÁREA IRRIGADA POR PIVÔ CENTRAL NO TRIANGULO MINEIRO, NO ESTADO DE MINAS GERAIS, BRASIL

Nativa ◽

10.31413/nativa.v6i6.5864 ◽

2018 ◽

Vol 6 (6) ◽

pp. 613 ◽

Cited By ~ 1

Author(s):

Daniel Soares Ferreira ◽

Wilian Rodrigues Ribeiro ◽

Morgana Scaramussa Gonçalves ◽

Andre Alves Pinheiro ◽

Ramon Amaro Sales ◽

...

Keyword(s):

Water Resources ◽

Satellite Images ◽

Irrigation System ◽

Knowledge Bases ◽

Minas Gerais ◽

Sao Paulo ◽

Irrigated Agriculture ◽

São Paulo ◽

Irrigated Area ◽

System Water

A agricultura irrigada no Brasil cresceu mais de 40% nos últimos 20 anos, representando uma área de 4,4 milhões de ha, com a região Sudeste representando 47% deste total. O método de irrigação por pivô é o que mais cresce, com os estados de Minas Gerais, Goiás, Bahia e São Paulo concentrando cerca de 80% da área ocupada pela tecnologia. Neste cenário, a atualização das informações torna-se fundamentais pois criarão bases de conhecimento que irão ajudar estabelecer diretrizes para adoção e planejamento de políticas públicas que venham a contribuir para o uso estratégico dos recursos hídricos. Foi realizado fotointerpretação na escala de 1:1000, em imagens satélite da plataforma Google EarthTM Pro, para identificação do equipamento e obtenção de sua área de ocupação. Com os dados coletados realizou-se análises em função dos municípios, microrregiões e bacias hidrográficas. Atualmente, estima-se uma área irrigada de 134.741,11 hectares e 2.301 pivôs centrais. Os municípios de Rio Paranaíba (302), Perdizes (164), Santa Juliana (135), Uberaba (120) e Patos de Minas (111) destacam-se em maior número de equipamentos. A Microrregião de Araxá abrange a maior concentração de pivôs, 694, com 40.728,94 hectares irrigados. Na Bacia do Rio Paranaíba concentra-se 85,75% dos pivôs.Palavras-chave: sensoriamento remoto, sistema de irrigação, recursos hídricos. SCENARIO OF THE AREA IRRIGATED BY CENTRAL PIVOT IN THE TRIÂNGULOMINEIRO, IN THE STATE OF MINAS GERAIS, BRAZIL ABSTRACT: Irrigated agriculture in Brazil has grown over 40% in the last 20 years, representing an area of 4.4 million ha, with the Southeast region representing 47% of this total. The pivot irrigation method is the fastest growing, with the states of Minas Gerais, Goiás, Bahia and São Paulo concentrating around 80% of the area occupied by technology. In this scenario, updating the information becomes fundamental because it will create knowledge bases that will help establish guidelines for the adoption and planning of public policies that will contribute to the strategic use of water resources. It was realized photointerpretation in scale of 1: 1000, in satellite images of the platform Google EarthTM Pro, for identification of the equipment and obtaining of its area of occupation. With the data collected, analyzes were performed according to the municipalities, microregions and river basins. Currently, an irrigated area of 134,741.11 hectares and 2,301 central pivots is estimated. The municipalities of Rio Paranaíba (302), Perdizes (164), Santa Juliana (135), Uberaba (120) and Patos de Minas (111) stand out in more equipment. The Araxá Microregion encompasses the highest concentration of pivots, 694, with 40,728.94 irrigated hectares. In the Paranaíba River Basin, 85.75% of the pivots are concentrated.Keywords: remote sensing, irrigation system, water resources.

Download Full-text

THE CENTER PIVOT IRRIGATION IN MINAS GERAIS STATE, BRAZIL, UNDER THE OPTICS OF GOOGLE EARTH

Irriga ◽

10.15809/irriga.2017v22n1p249-258 ◽

2018 ◽

Vol 22 (2) ◽

pp. 249-258

Author(s):

Eduardo Pinheiro De Freitas ◽

Wagner Alves de Andrade

Keyword(s):

Remote Sensing ◽

Minas Gerais ◽

Google Earth ◽

The State ◽

Spatial And Temporal Scales ◽

Financial Difficulties ◽

Temporal Discontinuity ◽

Minas Gerais State ◽

Center Pivot ◽

E Mail

The center pivot irrigation in Minas Gerais state, Brazil, under the optics of Google Earth EDUARDO PINHEIRO DE FREITAS1 AND WAGNER ALVES DE ANDRADE2 1 IFSP campus Barretos, Barretos – SP, Brazil. E-mail: [email protected] UCS, Caxias do Sul - RS, Brazil. E-mail: [email protected] 1 Abstract The Southeast region has the highest water demand and the largest irrigated area in Brazil, with emphasis on the central pivots in the state of Minas Gerais. However, the reliability of this information is poor, which limits its use to such management. As an alternative to obtain more consistent data, especially regarding central pivots, there is the use of remote sensing with satellite images to the mapping of irrigated areas in spatial and temporal scales, with some technical and financial difficulties as barriers. Google Earth solves part of these barriers, but the temporal discontinuity is a point to be evaluated. In this context, this work aimed to use Google Earth to visually identify areas irrigated by center pivot in Minas Gerais, from an overflight in the state at an altitude of the viewpoint of 4,000 meters, characterize and register them, which resulted in 4,607 areas totaling 295,059.76 ha, with the municipality of Paracatu presenting the largest number with 598 areas, and Unaí, the greatest extent, with 42,846.04 ha. Data available in the literature of 2010 indicated 4,432 areas occupying 303,368 ha with 570 areas in Paracatu and 44,258 ha in Unaí, confirming the functionality of the method. Keywords: GIS, water resources, remote sensing. FREITAS, E. P. DE; ANDRADE, w. a. DE A irrigação por pivô central no estado de Minas Gerais, Brasil, sob a óptica do Google Earth 2 Resumo A região Sudeste tem a maior demanda de água no Brasil e a maior extensão irrigada, com destaque para os pivôs centrais no estado de Minas Gerais, contudo, a confiabilidade destas informações é precária e limitam seu uso para a referida gestão. Como opção à obtenção de dados mais consistentes, principalmente quanto aos pivôs centrais, tem-se a utilização do sensoriamento remoto com imagens de satélites para o mapeamento em escalas espacial e temporal, tendo como entraves algumas dificuldades técnicas e financeiras. O Google Earth soluciona parte destes entraves, tendo na descontinuidade temporal um dos pontos a ser avaliado. Neste contexto, o presente trabalho teve como objetivo utilizar o Google Earth para identificar visualmente áreas irrigadas por pivô central em Minas Gerais, a partir de um sobrevoo no estado a uma altitude do ponto de visão de 4000 metros, caracterizá-las e cadastrá-las, o que resultou em 4607 áreas que totalizaram 295059,76 ha, com o município de Paracatu apresentando o maior número, com 598 áreas, e Unaí a maior extensão, com 42846,04 ha. Dados disponíveis do ano de 2010 indicam 4432 áreas ocupando 303368 ha, com 570 áreas em Paracatu e 44258 ha em Unaí, ratificando a funcionalidade do método. Palavras-chave: SIG, recursos hídricos, sensoriamento remoto.

Download Full-text

PANORAMA DA EVOLUÇÃO DA AGRICULTURA IRRIGADA NO SUDESTE DO BRASIL ENTRE 2006 E 2017

Irriga ◽

10.15809/irriga.2021v1n3p446-457 ◽

2021 ◽

Vol 1 (3) ◽

pp. 446-457

Author(s):

Cesar De Oliveira Ferreira Silva ◽

Fernando Ferrari Putti ◽

Rodrigo Lilla Manzione

Keyword(s):

Minas Gerais ◽

Sao Paulo ◽

Southeastern Brazil ◽

Irrigated Agriculture ◽

São Paulo ◽

Espírito Santo ◽

Southeast Region ◽

Irrigated Area ◽

Geographical Regions ◽

Espirito Santo

PANORAMA DA EVOLUÇÃO DA AGRICULTURA IRRIGADA NO SUDESTE DO BRASIL ENTRE 2006 E 2017 CÉSAR DE OLIVEIRA FERREIRA SILVA1; FERNANDO FERRARI PUTTI2 E RODRIGO LILLA MANZIONE3 1 Departamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista", Avenida Universitária, n° 3780, Altos do Paraíso, 18610-034, Botucatu, São Paulo, Brasil, [email protected]. 2 Departamento de Engenharia de Biossistemas, Faculdade de Ciências e Engenharia, Universidade Estadual Paulista, Rua. Domingos da Costa Lopes, nº 780, Jardim Itaipu, 17602-496, Tupã, São Paulo, Brasil, [email protected]. 3 Departamento de Engenharia de Biossistemas, Faculdade de Ciências e Engenharia, Universidade Estadual Paulista, Rua. Domingos da Costa Lopes, nº 780, Jardim Itaipu, 17602-496, Tupã, São Paulo, Brasil, [email protected]. 1 RESUMO O presente estudo buscou contribuir no debate sobre a situação da irrigação no Brasil, dando ênfase na região Sudeste. Buscou-se entender, a partir dos dados dos Censos Agropecuários do IBGE de 2006 e 2017, quais direções a agricultura irrigada tomou no Sudeste do Brasil durante esse período. Houve aumento na área irrigada no Brasil em todas as regiões geográficas, atingindo 6,9 milhões de hectares (Mha) em 2017. No período 2006-17 a expansão da área irrigada no estado de Minas Gerais foi de 616 mil hectares, em São Paulo foi de 321 mil hectares e de 155 mil hectares no Espírito Santo. Na região Sudeste a irrigação por gotejamento é majoritária em área, com 25% da área irrigada, seguida de forma acirrada pela irrigação por aspersão (24%) e por pivô central (23%). A área irrigada na região Sudeste, segundo o Censo 2017, é destinada majoritariamente para cultivo de lavouras temporárias (48%), lavouras permanentes (29%), horticultura e floricultura (14%) e pecuária (10%). Essas informações são importantes para o planejamento do crescimento sustentável da agricultura irrigada e o uso eficiente dos recursos hídricos. Palavras-chave: área irrigada, Censo Agropecuário; métodos de irrigação. SILVA, C. O. F.; PUTTI, F. F.; MANZIONE, R. L. OVERVIEW OF IRRIGATED AGRICULTURE EVOLUTION IN SOUTHEASTERN BRAZIL BETWEEN 2006 AND 2017 2 ABSTRACT This research aimed to contribute to the debate about the current situation of irrigation in Brazil, with emphasis on the Southeast region. Based on data from the IBGE Agricultural Censuses of 2006 and 2017, we aimed to understand which directions irrigated agriculture has taken in Southeastern Brazil during this period. There was an increase in the irrigated area in Brazil in all geographical regions, reaching 6.9 million hectares (Mha) in 2017. In the period 2006-17, the expansion of the irrigated area in the state of Minas Gerais was 616,000 hectares, in São Paulo it was 321,000 hectares and 155,000 hectares in Espírito Santo. In the Southeast region, drip irrigation is the majority in the area, with 25% of the area irrigated, followed by sprinkler irrigation (24%) and central pivot (23%). The irrigated area in the Southeast region, according to the 2017 Census, is mostly for temporary crops (48%), permanent crops (29%), horticulture and floriculture (14%), and livestock (10%). These information are important for planning the sustainable expansion of irrigated agriculture and efficient water use. Keywords: irrigated area, census of agriculture, irrigation methods.

Download Full-text

ESTIMATIVA DA DEMANDA HÍDRICA E ÁREA IRRIGADA POR PIVÔ CENTRAL NO ESTADO DO ESPÍRITO SANTO

Irriga ◽

10.15809/irriga.2019v24n2p274-288 ◽

2019 ◽

Vol 24 (2) ◽

pp. 274-288

Author(s):

Wilian Rodrigues Ribeiro ◽

Morgana Scaramussa Gonçalves ◽

André Alves Pinheiro ◽

Ramon Amaro de Sales ◽

Rebyson Bissaco Guidinelle ◽

...

Keyword(s):

Water Resources ◽

Water Demand ◽

Primary Source ◽

The State ◽

Water Volume ◽

Irrigated Agriculture ◽

Espírito Santo ◽

Irrigated Area ◽

Historical Series ◽

Espirito Santo

ESTIMATIVA DA DEMANDA HÍDRICA E ÁREA IRRIGADA POR PIVÔ CENTRAL NO ESTADO DO ESPÍRITO SANTO WILIAN RODRIGUES RIBEIRO1; MORGANA SCARAMUSSA GONÇALVES1; ANDRÉ ALVES PINHEIRO1; RAMON AMARO DE SALES2; REBYSON BISSACO GUIDINELLE1 E EDVALDO FIALHO DOS REIS1 1Departamento de Engenharia Rural, Programa de Pós-Graduação em Produção Vegetal do Centro de Ciências Agrárias e Engenharias da Universidade Federal do Espírito Santo - UFES, Alto Universitário S/N, Bairro Guararema, CEP: 29.500.000, Alegre, ES, Brasil, [email protected]; [email protected]; [email protected]; [email protected]; [email protected] 2Departamento de Fitotecnia, Programa de Pós-Graduação em Fitotecnia da Universidade Federal de Viçosa, Avenida Peter Henry Rolfs, S/N, Campus Universitário, CEP: 36.570.900, Viçosa, MG, Brasil, [email protected] 1 RESUMO A geração de informações sobre cenário da agricultura irrigada, representam importante fonte primária para fiscalização e planejamento na gestão dos recursos hídricos. Desta forma, o presente estudo visou quantificar o número de pivôs centrais no Estado do Espírito Santo e sua respectiva área irrigada, objetivando estimar o volume de água (m³) necessário ao suprimento da demanda hídrica nestas áreas. Realizou-se fotointerpretação na escala 1:1.000 para identificação dos equipamentos. Com uma série histórica de dados, estimou-se a evapotranspiração potencial mensal (ETP) e em seguida elaborou-se um balanço hídrico. Os dados foram espacializados por krigagem, formando doze mapas, garantindo a determinação do valor mensal de déficit ou excedente hídrico (mm) para cada coordenada, possibilitando a estimativa do volume de água necessário para atendimento da demanda. Foram quantificadas 276 unidades de pivôs centrais, que irrigam uma área próxima a 12.991,76 ha, demandando anualmente entorno de 33.694.344,50 m³ de água para irrigação. A Macrorregião Norte concentra 80,85% desta área irrigada total irrigada no Estado e responde por 89,52% da demanda hídrica, com destaque para o município de Pinheiros. A Interbacia hidrográfica do Rio Itaúnas corresponde a 80,42% da demanda hídrica. Os meses de maio e junho apresentaram maior necessidade de complementação hídrica. Palavras-Chave: irrigação, fotointerpretação, recursos hídricos. RIBEIRO, W. R.; GONÇALVES, M. S.; PINHEIRO, A. A.; SALES, R. A.; GUIDINELLE, R. B.; REIS, E. F. ESTIMATE OF WATER DEMAND AND AREA IRRIGATED BY CENTRAL PIVOT IN THE STATE OF ESPÍRITO SANTO 2 ABSTRACT The generation of information on the scenario of irrigated agriculture, represents an important primary source for inspection and planning of management of water resources. Thus, the present study aimed to quantify the number of central pivots in the State of Espírito Santo and their respective irrigated area, aiming to estimate the water volume (m³) required to supply water demand in these areas. A 1: 1,000 photointerpretation was performed to identify the equipment. With a historical series of data, potential monthly evapotranspiration (ETP) was estimated and then a water balance was elaborated. The data were spatialized by krigagem, forming twelve maps, guaranteeing the determination of the monthly value of water deficit or surplus (mm) for each coordinate, making it possible to estimate the volume of water required to meet demand. A total of 276 central pivot units were irrigated, irrigating an area close to 12,991.76 ha, requiring an annual irrigation of 33,694,344.50 m³. The Northern Macroregion concentrates 80.85% of this total irrigated area in the State and accounts for 89.52% of water demand, especially the municipality of Pinheiros. The Itaún River Interbank Basin corresponds to 80.42% of the water demand. In May and June water complementation needs were superior. Keywords: irrigation, photointerpretation, water resources.

Download Full-text

Evolution and current scenario of irrigated area in Brazil: Systematic data analysis

Revista Brasileira de Engenharia Agrícola e Ambiental ◽

10.1590/1807-1929/agriambi.v24n8p505-511 ◽

2020 ◽

Vol 24 (8) ◽

pp. 505-511

Author(s):

Daniel F. de Carvalho ◽

Rosária da C. F. Martins ◽

Jaqueline J. S. dos Santos ◽

Gean C. Teles ◽

Marcello A. D. Gentile ◽

...

Keyword(s):

Sustainable Use ◽

Essential Element ◽

Sprinkler Irrigation ◽

Minas Gerais ◽

Study Data ◽

Surface Irrigation ◽

Irrigation Methods ◽

Irrigated Area ◽

Center Pivot ◽

Current Scenario

ABSTRACT Water is an essential element to life and used in various human activities. However, because of the amount used in agriculture and the increase in irrigated area, the sustainable use of this resource has become a worldwide concern. In this study, data from the Censuses of Agriculture published by the Instituto Brasileiro de Geografia e Estatística (IBGE) from 1960 to 2017 were evaluated in relation to the regions and irrigation methods, performing a detailed analysis between the data from the 2006 and 2017 Censuses. There was an increase in irrigated area in Brazil in all geographic regions, reaching 6.9 million hectares in 2017. Sprinkler irrigation methods are the most used, with 48% of the irrigated area, followed by localized irrigation (24.4%) and surface irrigation (22.3%). Drip irrigation is the most used system in establishments up to 50 ha (617,423 ha), followed by conventional sprinkler (514,893 ha), while the center pivot stands out in areas larger than 50 ha (1,362,828 ha). The Southeast region (38.6%) and the states of Rio Grande do Sul (20.4%), Minas Gerais (16.6%) and São Paulo (16.0%) stand out as the ones with the largest irrigated area in the country. The State of Minas Gerais showed the highest growth of irrigated area in the 2006-2017 period (116.1%), due to the expansion of areas irrigated with center pivot.

Download Full-text

Cyclone Bomb hits Southern Brazil in 2020

Journal of Atmospheric Science Research ◽

10.30564/jasr.v3i3.2163 ◽

2020 ◽

Vol 3 (3) ◽

Author(s):

Ricardo Gobato ◽

Alireza Heidari

Keyword(s):

High Pressure ◽

Atmospheric Pressure ◽

High Speed ◽

Satellite Images ◽

The State ◽

Southern Brazil ◽

Santa Catarina ◽

High Area ◽

South Of Brazil ◽

Rapid Drop

An “explosive extratropical cyclone” is an atmospheric phenomenon that occurs when there is a very rapid drop in central atmospheric pressure. This phenomenon, with its characteristic of rapidly lowering the pressure in its interior, generates very intense winds and for this reason it is called explosive cyclone, bomb cyclone. With gusts recorded of 116 km/h, atmospheric phenomenon – “cyclone bomb” (CB) hit southern Brazil on June 30, the beginning of winter 2020, causing destruction in its influence over. One of the cities most affected was Chapecó, west of the state of Santa Catarina. The satellite images show that the CB generated a low pressure (976 mbar) inside it, generating two atmospheric currents that moved at high speed. In a northwest-southeast direction, Bolivia and Paraguay, crossing the states of Parana and Santa Catarina, and this draft that hit the south of Brazil, which caused the destruction of the affected states. Another moving to Argentina, southwest-northeast direction, due to high area of high pressure (1022 mbar). Both enhanced the phenomenon.

Download Full-text

CALCULATION PARAMETERS OF SPRINKLING MACHINES WITH COMBINED FRONTAL AND CIRCULAR MOVEMENT

Vestnik of the Russian agricultural science ◽

10.30850/vrsn/2020/4/4-7 ◽

1970 ◽

pp. 4-7

Author(s):

N. N. Dubenok ◽

G. V. Olgarenko ◽

B. S. Gordon

Keyword(s):

Calculated Data ◽

Irrigation Scheduling ◽

Natural Conditions ◽

Linear Mode ◽

Irrigation Technology ◽

Irrigated Area ◽

Center Pivot ◽

Irrigation Technologies ◽

The Given ◽

Operation Characteristics

If the center pivot or linear moving irrigation machines are operated with their own individual irrigation technologies, but the irrigation machines with combined center-pivot and linear moving mode are operated on one field in turn as a center pivot and as a linear. The goal of this work is creation of theoretical base for calculation of improved irrigation machines parameters and existing irrigation equipment modernizing, according to the different natural conditions. The research object is investigation of characteristics of rain delivered from irrigation machines with combined center-pivot and linear moving mode, assuring uniform irrigation distribution according to the irrigation technology and operation parameters, size and configuration of seasonal norm as well as to the irrigation scheduling. The pointed goal is achieved by the given problem solving, when having basic data on the irrigation norm and time, as well as operation characteristics and the irrigation area configuration, the predicted hydro modulus are calculated for the irrigation machine working in a center pivot and in a linear mode. The simulation of sprinkling devices operation on the machine is made by one universal formula, when on the plots irrigated in center pivot and linear mode is achieved equality of arranged hydro modulus to the corresponding calculated data. At that, are considered all the possible combinations of the total irrigated area parts, irrigated with different technologies.

Download Full-text

Effect of incarceration on criminality in the state of Minas Gerais, Brazil

Crime Law and Social Change ◽

10.1007/s10611-021-09968-9 ◽

2021 ◽

Author(s):

Laís de Sousa Abreu Soares ◽

Filipe Mendes Dalboni ◽

Evandro Camargos Teixeira

Keyword(s):

Minas Gerais ◽

The State

Download Full-text

CNN Algorithm for Roof Detection and Material Classification in Satellite Images

Electronics ◽

10.3390/electronics10131592 ◽

2021 ◽

Vol 10 (13) ◽

pp. 1592

Author(s):

Jonguk Kim ◽

Hyansu Bae ◽

Hyunwoo Kang ◽

Suk Gyu Lee

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Satellite Imagery ◽

Satellite Images ◽

External Shocks ◽

Satellite Imaging ◽

Material Classification ◽

Model Algorithm ◽

Great Damage

This paper suggests an algorithm for extracting the location of a building from satellite imagery and using that information to modify the roof content. The materials are determined by measuring the conditions where the building is located and detecting the position of a building in broad satellite images. Depending on the incomplete roof or material, there is a greater possibility of great damage caused by disaster situations or external shocks. To address these problems, we propose an algorithm to detect roofs and classify materials in satellite images. Satellite imaging locates areas where buildings are likely to exist based on roads. Using images of the detected buildings, we classify the material of the roof using a proposed convolutional neural network (CNN) model algorithm consisting of 43 layers. In this paper, we propose a CNN structure to detect areas with buildings in large images and classify roof materials in the detected areas.

Download Full-text