bluuebunny/crossref_metadata_2025 huggingface dataset:
Development strategy of vertically integrated agro-industrial companies as a pricing tool for food products
Authors: Krasnova V. V. , Kramarenko A. A. , Fomenko A. S.
Published: September 2022

In connection with the current trends in the agro-industrial conjuncture, it is becoming increasingly urgent to solve the problem of ensuring the economic security of the state, the financial and economic recovery of industry-forming enterprises and the welfare of the population. Taking into account the high interest in the transformation of food markets, the object of this study was the internal management strategies of large agro-industrial companies. The subject of the study is the mechanism of food pricing by regulating the value chain in agricultural holdings of the full production cycle (having a vertically integrated organization of the operational and production process). The article provides an analysis of changes in the price index for socially significant food products for the period 2020–2021 and its impact on the cost of a minimum set of food products, which is considered an important indicator of the standard of living of the population and in the current situation accounts for an excessively high proportion of the average income of citizens. To solve the identified problems and ensure a high level of food security, a mechanism for managing the development strategy of vertically integrated agro-industrial companies is proposed as a way to achieve the minimum cost of finished products and rational management of its creation chain. Due to the closed production cycle, agro-industrial companies offset the negative impact of external factors on pricing, and are also more independent of suppliers of raw materials and in matters of the organization of operational activities. The practical significance of the research is to develop and substantiate ways to reduce social tension and provide the population with socially significant, high-quality and affordable food by reducing the cost of producing agro-industrial products while creating and developing a vertically integrated organization of the production process.
Caracterização morfométrica da bacia hidrográfica do Igarapé Quarenta Horas no município de Ananindeua, Pará
Authors: Crispim Diego Lima , Bezerra Paulo Eduardo Silva , Lima Gabriel Villas Boas de Amorim , Fernandes Lindemberg Lima
Published: September 2022

Bacias Hidrográficas urbanas estão suscetíveis à intensiva ação antrópica do entorno, cuja ocupação espacial insuficientemente ordenada resulta em prejuízos tanto para uma população quanto ao meio ambiente. Sobre isso, conhecer como características morfológicas das bacias hidrográficas é uma etapa fundamental na construção de políticas públicas de gerenciamento sustentável de águas urbanas. Tendo isso em vista, este estudo objetivou realizar uma caracterização morfométrica da bacia hidrográfica do Igarapé Quarenta Horas, localizada no município de Ananindeua-PA. Os métodos de aplicação de ferramentas SIG e aplicação de Modelos Digitais de Elevação, que permitem quantificar as características geométricas, da rede de drenagem e de relevo, dificuldades em 33 variáveis identific. Resultados indicaram que a bacia não tendência de inundação e condições satisfatórias de escoamento. Contudo, o município apresenta o menor índice de saneamento básico do Brasil, o que justifica a ocorrência de constantes alagamentos mesmo com uma facilidade morfométrica natural da área.
Análise espaço-temporal da evapotranspiração e do sequestro de carbono na bacia do Rio Pajeú-PE utilizando a computação em nuvem
Authors: Rodrigues Diogo Francisco Borba , Montenegro Suzana Maria Gico Lima , Gusmão Ana Cláudia Villar e Luna , Araújo Diego Cezar dos Santos , Ursulino Bruno e Silva , Oliveira José Diorgenes Alves
Published: September 2022

Dentre as diferentes componentes do ciclo hidrológico, a que apresenta maior dificuldade de monitoramento é a evapotranspiração (ET). Nos últimos anos diversos métodos de sensoriamento remoto (SR) foram desenvolvidos para a estimativa da ET em diferentes escalas espaciais, abrangendo desde propriedades agrícolas até grandes bacias hidrográficas. Nesse sentido, objetivou-se com o presente trabalho implementar o algoritmo SEBAL em uma plataforma de computação em nuvem e avaliar a dinâmica da evapotranspiração e assimilação de carbono na bacia do Rio Pajeú. Foram selecionadas seis imagens de satélites que correspondem aos dias: 20/09/2016, 06/10/2016, 07/11/2016, 23/11/2016, 26/11/2017 e 12/12/2017, e a área selecionada abrange parte do município de Serra Talhada. As imagens foram processadas utilizando a ferramenta Google Earth Engine (GEE), tendo como finalidade principal a evapotranspiração real e o sequestro de carbono estimados pelo SEBAL. O GEE conseguiu estimar de forma adequada os processos envolvidos no balanço de energia, evapotranspiração e assimilação de carbono sobre a bacia do Rio Pajeú, indicando o seu potencial para todo o Nordeste, considerando que a série de dados da plataforma é global. Aplicações com foco mais prático, considerando monitoramento ambiental, suporte à agricultura e gerenciamento dos recursos hídricos podem ser realizadas com o GEE, automatizando esse processo e dispensando o uso de computadores superpotentes.
Comparison of the area of water masses in a hydrographic basin using spectral indices and MapBioma’s classification
Authors: Lourenço Valéria Ramos , De Carvalho Ailton Alves , De Almeida Giselle da Cruz , Montenegro Abelardo Antônio de Assunção
Published: September 2022

The survey of information about the water resources present in a hydrographic basin is essential. In this context, the purpose of this study was to evaluate the area of reservoirs in a semi-arid hydrographic basin, comparing information obtained from spectral indices with data from the MapBiomas classification. The study was carried out in the Contribution Basin of the Chapéu reservoir. To assess the area of water masses in the basin, data from the classification carried out by the MapBiomas project - collection 5, referring to the year 2019, were used. The NDWI and MNDWI indices were also applied to images from the Sentinel-2 Satellite, referring to the year 2019, to determine the areas of reservoirs in the basin. The information from the indexes was vectored to obtain the polygons of each reservoir and calculate their respective areas. The use of the NDWI and MNDWI spectral indices for the identification of water bodies provided similar areas for the Chapéu reservoir, the main reservoir in the study basin, approaching the volume values obtained with the local monitoring of the reservoir. The assessment of water masses in the basin based on spectral indices and the MapBiomas classification provided information on the masses with high spatial resolution, enabling the identification of bodies in the assessed basin, and could be used as a tool for monitoring water resources.
OSCILAÇÕES TEMPORAIS NO REGIME PLUVIAL NO CURIMATÁU PARAIBANO: VARIABILIDADE, EXTREMO OU MUDANÇA CLIMÁTICA
Authors: Almeida Hermes Alves de , Pôrto Júlio Cézar Gonçalves
Published: September 2022

O objetivo deste trabalho foi analisar se as oscilações temporais no regime pluvial do Curimataú paraibano são indicativas de variabilidade natural, extremo ou mudança climática. Foram utilizadas séries pluviais mensais do período de 01.01.1930 a 30.09.2021 da cidade de Pocinhos, localizada na região geográfica intermediária de Campina Grande. As referidas séries foram analisadas, utilizando-se critério da estatística descritiva, sendo determinadas as médias, medianas e os desvios padrão, além de estabelecer a estação chuvosa e as anomalias da chuva. Para avaliar se as oscilações temporais são indicativas de variabilidade natural, extremo ou mudança climática foi adotado o critério comparativo entre o valor da chuva observada, o desvio padrão e a média. Os principais resultados indicaram que os modelos temporais de distribuição de chuva são assimétricos, irregulares e a estação chuvosa, concentra-se de março a julho. O valor do desvio padrão mensal pode ser igual ao da mediana esperada e três vezes maior que o da dispersão anual. O critério da anomalia da chuva anual e na estação chuvosa é um excelente indicador das magnitudes do excesso e do déficit da precipitação pluvial observada. As oscilações temporais dos totais de chuvas observados são variabilidades naturais e não há indicativo de mudança climática
Estudo da viabilidade para instalação eletrogeradores termossolares no município de Garanhuns, Pernambuco
Authors: Cavalcanti da Silva Luís Roberto , Vigoderis Ricardo Brauer
Published: September 2022

A crescente demanda por fontes de energia renováveis e limpas fez aumentar a frequência de pesquisas para o desenvolvimento de novas aplicações voltadas às fontes energéticas já conhecidas. No caso da energia solar há uma utilização maior e mais consolidada das placas fotovoltaicas, que necessitam de tecnologias mais aprimoradas. Porém, essa mesma fonte de energia pode ser aproveitada de outras formas, como através de usinas termelétricas, que utilizam a energia térmica da irradiação de forma concentrada e, com isso, geram vapores que ativam os geradores elétricos. Dessa forma, essas usinas podem ser implementadas em diversas regiões da Terra que apresentem um nível de insolação abundante e que, assim, possam incrementar mais potencial na rede de transmissão elétrica. Apesar de promissora, a produção de energia termossolar pode não ser viável em todos ou lugares. Melhores estudos devem ser realizados para identificar a viabilidade técnica e econômica para a implantação de plantas termossolares. Nesse contexto, o município de Garanhuns apresenta muita irregularidade morfológica, o que desfavorecem a incidência direta da irradiação solar, devido aos declives, que prejudicam o ângulo da irradiação, ou ao sombreamento, que reduz a insolação diária. Com isso, a instalação de plantas termossolares em Garanhuns só seria viável com investimentos em terraplanagem, encarecendo os projetos.
Caracterização morfométrica da bacia hidrográfica do rio Jaboatão, em Pernambuco, utilizando Modelos Digitais de Elevação provenientes de sensor LiDAR
Authors: Pessoa Neto Amaury Gouveia , Soares Anna Elis Paz , Silva Simone Rosa da , Montenegro Suzana Maria Gico Lima
Published: September 2022

A caracterização morfométrica de uma bacia hidrográfica consiste numa ferramenta útil ao planejamento e gestão dos recursos hídricos, uma vez que há uma relação estreita entre as características físicas de uma bacia e seu regime hidrológico. As características características podem ser realizadas de maneira eficaz utilizando Modelos Digitais de Elevação (MDE's) em ambiente de Sistema de Informações Geográficas (SIG). Assim, este estudo buscou analisar, a partir da tecnologia do geoprocessamento, as características morfométricas da bacia hidrográfica do rio Jaboatão, em Pernambuco. Para isso, foram utilizados do MDE's provenientes do sensor LiDAR que foram manipulados em coordenadas UTM (zona 25 S) no Sistema de Referência Geocêntrico para as Américas (SIRGAS 2000) através do software livre QGIS (versão 3.10.9), onde foram registrados à técnica de pré-processamento, tais como, reprojeção e eliminação de pixels negativos e espúrios, para que fosse possível realizar uma delimitação da bacia e a extração da rede hidrográfica. A partir dessas técnicas, foi possível obter as características geométricas, hidrográficas e de relevo da região estudada, o que pode verificar que a bacia do rio Jaboatão possui baixa propensão a enchentes, em condições médias de especial, formato alongado, compreender um sistema de drenagem regular, seu rio principal é bastante sinuoso e apresenta baixas altitudes, variando de 0,00 ma 438,00 m, se caracterizando como uma área encontrada por planícies e colinas. Por meio dos resultados obtidos,
Mapping as instrument to support public authorities in risk analysis and promotion of climate justice
Authors: De Oliveira Tiago Henrique , Sousa Leta Vieira de , Lopes Marina Jardim dos Santos , Santos Marcelo Olímpio dos , Júnior Aurélio Lúcio de Melo e Silva , Pinto Luiz Gustavo
Published: September 2022

Urbanization is one of the most powerful anthropogenic causes of Earth change. The report by the Intergovernmental Panel on Climate Change claims that human influence on the warming of the soil, ocean and atmosphere is unequivocal. People who are socially, economically, culturally, politically, institutionally or otherwise marginalized are especially vulnerable to climate change and also to adaptation and mitigation responses. Climate injustice refers to the fact that groups in a greater situation of vulnerability present challenges that accumulate as a result of less political power and great social inequality and, therefore, are disproportionately harmed by the impacts of climate change. Thus, this article seeks to address, from indices such as the NDBI, NDVI and census data from the IBGE Census, for the year 2010 and data from the analysis of Climate Risks and Vulnerabilities in Recife, the climate (in)justice in the city of Recife. For this purpose, 3 images from the TM sensor and one from the OLI sensor aboard the Landsat satellites were used. Results show that NDBI values above 0.21 were extended to various areas of the city of Recife over the years, while the NDVI showed a decrease in vegetation cover, indicating greater soil sealing and construction of buildings. These results, in accordance with the mapping of vulnerabilities to climate change, corroborate that a public policy focused on reducing climate injustices is essential, especially when it is concluded that the areas with the greatest social vulnerability are those with the greatest climate vulnerability.
Spatial evolution of land use and land cover for the Tatu-Bola Wildlife Refuge - Pernambuco, using orbital images
Authors: De Oliveira Tiago Henrique , Oliveira Josemary Santos e Silva , Pimentel Rejane Magalhães de Mendonça , Galvíncio Josiclëda Domiciano
Published: September 2022

This article aims the analyze NDVI (Normalized Difference Vegetation Index), NDWI (Normalized Difference Water Index), and NDBI (Normalized Difference Built-up Index) radiometric indices for TM and OLI sensor scenes aboard the LANDSAT satellite. The study area is the Tatu-Bola Wildlife Refuge, created in March 2015 through State Decree number 41,546, and its surroundings. The study aimed to monitor the spatial and temporal evolution of land use and land cover in a period before and after the implementation of the Armadillo-Bola Wildlife Refuge, using indices of vegetation (NDVI), moisture (NDWI), and exposed soil (NDBI) and its relationship with the surroundings. TM and OLI images (orbit and point 217-066) were used on board the LANDSAT satellite 5 (23-05-1987, 15-05-1996, and 01-02-2005) and 8 (28-01-2015 and 17- 03-2021), radiometrically and geometrically corrected and obtained by accessing EarthExplorer, with the calculation of radiance and reflectance being performed, and the indices applied. In order to better identify the area with vegetation and exposed soil, the RGB composition was performed, with NDBI, NDVI, and NDWI indices for Landsat images and fusion of multispectral and panchromatic bands in WPM sensor images from the CBERS-4A satellite from 23- 08-2020 (orbit and point 198-124) and 18-09-2020 (199-124). Digital numbers of cloud and shadow pixels were excluded through supervised classification. Between 1987 and 2021, it was possible to observe a decrease in vegetation cover, especially around the RVS Armadillo-balla, and an increase in area, with NDVI values lower than 0.40. The Refuge area in Petrolina has the largest amount of deforested area. The use of RGB composition of the indices and the merged images from the CBERS-4A satellite, with a spatial resolution of 2 m, present a significant improvement in identifying areas of exposed soil and dry vegetation.
Morphometric characterization of the Alto do Ipojuca hydrographic basin
Authors: Almeida Giselle Cruz , Montenegro Abelardo Antônio de Assunção , Carvalho Ailton Alves , Lourenço Valéria Ramos , Almeida Thayná Alice Brito , Silva Marcelo José
Published: September 2022

The study of hydrographic basins has supported a series of important decisions for water resources management. Thus, this study aimed to carry out a morphometric characterization of the Alto of Ipojuca Basin addressing the management and integrated planning of water resources. The present study included the Pernambuco municipalities of Alagoinha, Arcoverde, Belo Jardim, Cachoeirinha, Capoeiras, Pesqueira, Poção, Sanharó, São Bento do Una, Sertânia, Tacaimbó and Venturosa, a region corresponding to the Upper Ipojuca region. For morphometric characterization, the Digital Elevation Model (DEM) from the National Institute for Space Research (INPE) was used. The delimitation of the hydrographic basin was carried out using the hydrological model SWAT 1.9, through the QSWAT interface, coupled with the free QGIS software. The geometric parameters obtained use the drainage area, perimeter, compactness coefficient, form factor, elongation ratio and circularity index. The length of the main river, the concentration time, the fluvial hierarchy, the frequency of channels, the drainage density, the hydrographic density, the sinuosity of the main course, the maximum altimetric amplitude of the basin, the mean slope were determined, as well as the roughness index and the relief ratio were also estimated. The basin has an elongated shape, thus favoring flow along the basin and low possibility of flash and sharp floods. In general, the basin has a good trend towards conservation. The study of such parameters emerges as an alternative and a strong support for water resources planning and management , considering the presence of reservoirs within the studied perimeter and water allocation, as rainfall events become increasingly irregular and variable in space and time, due to climate change.
CARACTERIZAÇÃO FÍSICA COM USO DE GEOTECNOLOGIA NA BACIA HIDROGRÁFICA DO GRUPO DE PEQUENOS RIOS LITORÂNEOS (GL2)
Authors: Da Costa Fabio Erickson , Rodrigues Rodrigo Zimmerle dos Santos
Published: September 2022

competente de maneira que possibilitam subsidiar os processos de gestão e da tomada de decisão em diversos segmentos da sociedade. Todavia estas tecnologias viabilizam cada vez mais através dos estudos realizados que têm uma possibilidade de processar e processar dados com um custo mínimo de capital. Diante disso, este trabalho evoca a aplicação de técnicas de geoprocessamento, Sensoriamento Remoto e Sistema de Informação Geográfica voltas para o estudo de bacias hidrográficas, não qual é de suma importância para o dinamismo econômico das sociedades e necessidades de dimensões consideráveis visto que modo e se faz necessário o emprego de tecnologias que podem agilizar seus estudos. A unidade geográfica espacial definida para este estudo de caso foi à bacia hidrográfica de pequenos rios litorâneos - GL2, na qual a mesma está inserida no litoral do Estado de Pernambuco. Assim, desse modo os dados foram obtidos de forma gratuita através do projeto Brasil Relevo - Embrapa Monitoramento por Satélite, na escala de 1: 250.000, através da carta SC-25-VA, foi elaborado alguns mapas com aspectos básicos desta bacia, assim tendo o intuito de auxiliar a sua gestão e planejamento. Desta maneira, os resultados obtidos foram a priori satisfatórios, pois o mesmo demonstração de forma clara e objetiva algumas características físicas, em especial será ressaltado por meio de mapas o solo, unidades geomorfológicas e rede de drenagem e altimetria foi elaborado alguns mapas com aspectos físicos desta bacia, assim tendo o intuito de auxiliar a sua gestão e planejamento. Desta maneira, os resultados obtidos foram a priori satisfatórios, pois o mesmo demonstração de forma clara e objetiva algumas características físicas, em especial será ressaltado por meio de mapas o solo, unidades geomorfológicas e rede de drenagem e altimetria foi elaborado alguns mapas com aspectos físicos desta bacia, assim tendo o intuito de auxiliar a sua gestão e planejamento. Desta maneira, os resultados obtidos foram a priori satisfatórios, pois o mesmo demonstração de forma clara e objetiva algumas características físicas, em especial será ressaltado por meio de mapas o solo, unidades geomorfológicas e rede de drenagem e altimetria
RESPOSTA DO ÍNDICE DE VEGETAÇÃO EVI A ANOMALIAS DE PRECIPITAÇÃO NO ESTADO DA PARAÍBA
Authors: Souza Bárbara Silva , De Brito Costa Cantalice Wanessa Luana , Braga Célia Campos , Silva Madson Tavares , Da Silva Eduardo Almeida
Published: September 2022

Como as condições climáticas de uma região fundada são fundamentais no desenvolvimento de um ecossistema, pois ele é constituído de fatores bióticos (seres vivos), e abióticos (não vivos). Alterações no mesmo provocado pela ação antrópica, como também de origem natural, podem repercutir diretamente nesses fatores. No caso da vegetação, quando a mesma é retirada indiscriminadamente, conforme as mudanças ocorrem quando o clima ocorre, agravando também os processos erosivos que degradam ou solo. Nesse contexto, o monitoramento da vegetação é de importância fundamental na preservação dos ecossistemas e da vida como um todo. Portanto, buscou-se avaliar o padrão-temporal da resposta anual e espaço mensal da vegetação às anomalias da exclusão no estado da Paraíba no período de 2003-2018.Utilizaram-se dados do Enhanced Vegetation Index (EVI) e do Normalized Difference Vegetation Index (NDVI) extraídos do produto mensal MYD13A3 do satélite MODIS / Aqua, com resolução espacial de 1 km. Assim como totais anuais e mensais da coleta pluviométrica coletada no site da Agência Executiva de Gestão das Águas do Estado da Paraíba (AESA). Determinaram-se a correlação linear anual e o tempo de resposta da vegetação como anomalias mensais da exclusão, utilizando a técnica da Análise de Principais Componentes (ACP). A correlação linear entre as séries da coleta, EVI e NDVI, aumenta um coeficiente de correlação bastante expressivo de 0,92 para o EVI e de 0,90 para o NDVI ao nível de significância de α = 0,05. O tempo de resposta do EVI ás precipitações,
Environmental diagnosis by vegetation indices in the Mata da Pimenteira state park during the rainy and dry seasons
Authors: Rocha Alessandro , Cruz Julio , Bezerra Alan C. , Silva Jhon , Alba Elisiane , Marques Rodrigo , Holanda Romildo
Published: September 2022

The objective was to evaluate the Mata da Pimenteira State Park (Parque Estadual da Mata da Pimenteira - PEMP) in the rainy and dry periods, based on Sentinel-2 satellite images. The study area belongs to the municipality of Serra Talhada, Pernambuco. The sets of remote sensing techniques and satellite orbital images were used in Google Earth Engine to obtain a composition of the rainy and dry periods; then, in the QGIS software version 3.4, the vegetation indices (NDVI and VCI) were determined. With the vegetation indices, it was possible to obtain the descriptive statistics and count the vegetation classes, classified from the r.recode tool, in which the map for the analyses and diagnosis of the study area. The spectral response of NDVI in the Caatinga vegetation averaged near 0.7 in the rainy period and 0.3 in the dry period. The severe level of the vegetation condition index predominates for the dry period and is very mild for the rainy period. The PEMP presents, in the rainy period, 75% of the area as a very light drought class of vegetation cover. On the order hand, the dry period presents 90% of the area in the severe drought condition. Finally, remote sensing indices made it possible to identify the evolution in the vegetation cover of the area, identifying the most critical zones.  Diagnóstico ambiental por índices de vegetação no Parque Estadual Mata da Pimenteira no período chuvoso e seco R E S U M OO objetivo era avaliar o Parque Estadual da Mata da Pimenteira (PEMP) nos períodos de chuva e seca, com base em imagens de satélite Sentinel-2. A área de estudo pertence ao município de Serra Talhada, Pernambuco. Os conjuntos de técnicas de detecção remota e imagens orbitais de satélite foram utilizados no Google Earth Engine para obter uma composição dos períodos chuvoso e seco, em seguida, no software QGIS versão 3.4, foram determinados os índices de vegetação (NDVI e VCI). Com os índices de vegetação, foi possível obter a estatística descritiva e contar as classes de vegetação, classificadas a partir da ferramenta r.recode, na qual o mapa para as análises e diagnóstico da área de estudo foram realizados. A resposta espectral da NDVI na vegetação da Caatinga foi em média perto de 0,7 no período chuvoso e 0,3 no período seco. O nível severo do índice do estado da vegetação predomina para o período seco e é muito suave para o período chuvoso. O PEMP apresenta, no período chuvoso, 75% da área como uma classe de cobertura vegetal muito ligeira no período de seca. Na ordem, o período seco apresenta 90% da área no estado de seca severa. Finalmente, índices de sensoriamento remoto permitiram identificar a evolução na cobertura vegetal da área, identificando as zonas mais críticas.
Prospection for economic mineralization using PRISMA satellite hyperspectral remote sensing imagery: an example from central East Greenland
Authors: Bedini Enton , Chen Jiang
Published: September 2022

The PRISMA hyperspectral imaging satellite of the Italian Space Agency records in the 0.4-2.5 μm wavelength region at a spatial resolution of 30 m. This study used the PRISMA hyperspectral imagery to characterize an extensive hydrothermal alteration system in the Kap Simpson igneous complex in central East Greenland. The prospection for economic mineralization in the study area has been in the focus of the activities of several mineral exploration companies. The PRISMA data were analyzed using the Adaptive Coherence Estimator. The hyperspectral imagery mapped the spatial distribution of several alteration minerals. The hyperspectral data identified widespread iron stained zones consisting of limonite and jarosite. All these zones constitute prospection targets for the localization of economic mineralization of molybdenum, rare earth elements, gold, silver, and base metals. The study indicates the applicability of PRISMA imagery for the prospection of economic mineralization. The results should also be useful for the evaluation of the PRISMA hyperspectral imagery in geoenvironmental applications.
INFLUENCE OF THE RAINFALL SEASONAL VARIABILITY IN THE CAATINGA VEGETATION OF NE BRAZIL BY THE USE OF TIME-SERIES
Authors: Becerra Jorge Alberto Bustamante
Published: September 2022

The climate in the Caatinga, especially precipitation, influences the pattern of spatial and temporal distribution of the vegetation that in turn influences the regional climate from the feedback mechanism of energy flows, water and momentum. This climate-vegetation interaction in the Caatinga is different depending upon the specific climatic pattern considered. The objective of this work is to identify the main phenological and seasonal features of the annual vegetation growth cycles and of the annual rainy season, respectively, in five climatic regions of the Caatinga biome. We use time series (2001-2008) of vegetation indices such as NDVI and LSWI, and precipitation that was derived of TRMM satellite data and surface station data. The results indicate that precipitation variability in the rainy season influences directly the variability of vegetation growth cycles. This influence is not linear but adjusted to a logarithmic function being better fitted with LSWI (r2 = 0.67) than with NDVI (r2 = 0.54). The influence of precipitation on vegetation, using phenological metrics such as start, end, peak and amplitude of the vegetation growing cycles, showed greater lag in climatic regions with higher precipitation in the Caatinga region
USE OF SATELLITE IMAGES LANDSAT 5 TM IN IDENTIFICATION OF ISLANDS OF HEAT IN THE CITY OF RECIFE -PE
Authors: Correia Ana Mônica
Published: September 2022

Remote sensing is an indispensable tool in the identification of heat islands in cities, it provides qualitative temperature of the place. Thus, the objective of this study was to estimate and analyze the soil surface temperature for the city of Recife, highlighting the neighborhoods of Good Voyage and Lowland, through satellite image LANDSAT 5-TM, to contribute to the identification of heat islands in urban centers from remote sensing techniques from the model SEBAL - Surface Energy Balance for Land Algotithm developed Bastiaanssen Win in 1998. The results showed that the use of remote sensing for estimating soil temperature appeared as an indispensable tool for identification and interpretation of heat islands in the city of Recife, where heat islands were diagnosed in some neighborhoods of Recife, with emphasis Good for travel that had temperatures up to 35oC. With this study, managers can use the tool to identify heat islands, and able to perform better planning, aiming thermal comfort and consequently improve the quality of life in urban centers.
GEOPROCESSING AS A TOOL FOR ENVIRONMENTAL PLANNING FOR THE CITY OF BETANIA, SERTÃO THE MOXOTÓ – PE
Authors: Santos Cecília Lira Melo de Oliveira
Published: September 2022

Economic growth and the exploitation of the rural have been harmed by the applicant lack of planning, no real knowledge of natural resources in specific regions, unfortunately, the man to perform the adaptation of land for farms, modifies soil characteristics and not absorb the limiting factors, leading to various forms of aggression, increasing degradation. The hinterland of the micro Moxotó today is characterized by social and environmental conditions quite vulnerable to the action of human activities, this scenario has provided a marked degradation of natural resources, as well as the use and management of land improperly. In order to produce scientific information for environmental monitoring system having as input geoprocessing, ensuring progress in controlling the use of natural resources and thus develop an integrated planning, providing quality of life for the population in the study area and local integration in the process of making, using techniques of geographic information systems (GIS), which allow for combinations of information from different technological processes for the production of new information for decision making in different contexts. It was concluded that the studied cities at risk to degradation by human action that triggers the process of misuse of land, bringing social and economic problems. The town of Bethany has degraded large areas, mainly by farming and grazing.
ANALYSIS OF ENVIRONMENTAL PARAMETERS IN GILBUÉS – PI USING SATELLITE IMAGES
Authors: Santos Élder Guedes dos
Published: September 2022

This paper aims to analyze the desertification process in the Gilbués region, southwestern portion of Piauí state, through remote sensing techniques with a perspective of verify whether there is a relationship of environmental parameters (surface albedo, NDVI, surface temperature, radiation and energy balances, as well as non-evaporative fraction) with the desertification process presented in this study area. We used images from the satellite Landsat 5-TM of August 19, 1994 and August 15, 2010 and applied the SEBAL and S-SEBI algorithms for obtaining environmental parameters analyzed. It was diagnosed cover removal of native vegetation, which may indicate areas undergoing to desertification and/or environmental degradation. Similarly, there was a reduction of surface net radiation, increased soil heat fluxes, reduction of energy used for evaporation and increases in the energy used for heating the soil and air, causing the temperature increase, and a systematic increase of the soil moisture deficit in the studied region.
SPACE TIME VARIABILITY OF SURFACE TEMPERATURE IN THE SEMI-ARID PERNAMBUCO BASED IMAGE TM / LANDSAT
Authors: Silva Madson T.
Published: September 2022

In this study we used remote sensing techniques to estimate and evaluate the spatial and temporal variability of surface temperature (Ts) in the semiarid pernambucano. Four images of the sensor Thematic Mapper (TM), Landsat 5, dated 12/12/1991, 09/12/1996, 13/12/2003 and 27/11/2009, constituted the experimental unit, which were estimated using the algorithm Surface Energy Balance Algorithms for Land (SEBAL). The main results indicated that the maximum surface temperature varied between 32.5 and 46.1 º C, found in areas with exposed soil or areas used for crops irrigated by the river São Francisco. In general, it can be seen that where there is a natural vegetation Ts was always lower in relation to the modified areas, which are present systematically higher temperatures studied on all days. It is concluded that remote sensing techniques proved efficient to quantify the spatio-temporal variability of surface temperature for semiarid conditions pernambucano.
Use of Applied Geotechnology for Analysis of the Permanent Preservation Area - APP of Bico da Pedra Lake, in the Municipality of Janaúba, MG
Authors: Magalhães Ivo Augusto Lopes , Brito Junior Lauro Ribeiro , Pena Flávio Eymard da Rocha
Published: September 2022

Urbanization in permanent preservation areas (APP) results in eutrophication of water bodies, water contamination and change in gene flow of the fauna and flora. Given the above, the purpose of this study was to analyze the permanent preservation areas of the Bico da Pedra Lake in the municipality of Janaúba, MG, using geotechnology. The methodology consisted of the use of Linear Spectral Mixture Model (LSMM) and the Bhattacharya unsupervised classification developed from the image of the Landsat-5TM satellite to identify the land use and vegetation in the Lake’s APP. Subsequently, we scanned the QuickBird satellite image at a constant scale of 1:5000 with the purpose of measuring the built-up areas located in the APP in the analysis. The results identified the presence of exposed soil and vegetation suppression in certain locations in the APP. The quantitative area of the APP was measured at 1768.89 ha, with the presence of 15% exposed soil, 32% sparse vegetation, 52% dense vegetation, and 1% non-classified area. We performed scanning for the presence of masonry buildings and farms; 79 of which are in the maximum level of flooding and 217 are in the APP. We concluded that the study obtained satisfactory results for the analysis and measurement of the area of permanent preservation area, allowing the identification of targets and vegetation accurately. Thus, it is inferred that this methodology can be applied in permanent preservation areas in separate locations aiming at monitoring and environmental supervision.
ENVIRONMENTAL MANAGEMENT OF SANTA MARIA DA SERRA WATERWAY SYSTEM – SP, BRAZIL
Authors: Nascimento Paulo Sérgio de Rezende
Published: September 2022

The risks of accidents in waterway systems have several reasons, being one of them the inadequate use of the soil, which intensifies the erosive process and causes the silting of the fluvial channel. The Project for the expansion of the Tietê-Paraná Waterway, named Santa Maria da Serra Hydric Enterprise, needs cartographic documents that aid in the orientation of the available resources in order to prevent adverse events generated by the silting process. Thus, this work aims at providing an auxiliary instrument for the management of hydric enterprises, which focuses on the establishment of restrictive criteria about the use of the soil on the margin of the waterway and in areas considered strategic for navigation safety. The adopted procedures are: generation of thematic maps; storage and manipulation of thematic data in a Georeferred Database; gathering of the data through a Geographic Information System, using Map Algebra, which results in the production of the Erosion Vulnerability Map; and, lastly, the ordainment of the territory through the Environmental Management Support Map of the Santa Maria da Serra Hydric Enterprise.
GIS APPLIED IN THE ANALYSIS OF DISTRIBUTION OF VEGETATION IN SEMIARID REGION
Authors: Francisco Paulo Roberto Megna , Gonçalves Jorge Luis Goes , Moraes Neto João Miguel
Published: September 2022

This work evaluated the distribution of vegetation in slope classes as subsidy analysis of degradation of the municipality of Soledade through the use of GIS and remote sensing techniques using algebraic language and modeling. We used Landsat TM-5 to generate the IVDN images and SRTM to generate the map of slope. As a result we obtained maps of vegetation and the distribution map of vegetation in slope. It can be concluded that there was a recovery of the local vegetation, as the class of sparse vegetation, dense transition and found an increase of 20.53% 33.46% and 6.06% respectively, the vegetation classes are distributed in their most classes of nil slope and mild totaling 530.16 km2 accounting for 94.53% of the total area, and slope classes moderate, strong, very strong and extremely strong totaling 3.7 km2 and Litholic Neosols occur in eutrophic soils.
Uncertainties in Unmixing of Multi-phase Hyperspectral Data in Reflective Region: Effects of Texture and Fabric
Authors: Singh Keshav Dev
Published: September 2022

The Linear Mixing Model (LMM), based on the assumption of single scattering of light is the most preferred approach to unmix (interpret) hyperspectral data due to its simplicity in implementation. However, in most of the natural situations, the reflection process involves multiple scattering and hence, LMM is not very effective. Therefore, nonlinear spectral unmixing model based on Radiative Transfer Equation (RTE) is necessary to understand the influencing factors and effects associated with shadowing or multiple scattering. The reflected spectrum of two juxtaposed materials is the linear sum of the two individual absorption spectra. However, light reflected off an intimate mixture of particles exhibits a spectra that is a nonlinear combination of the two individual spectra. In this work, we have studied the influence of texture (grain size) and fabric (patterns) on reflectance spectra using RTE based nonlinear unmixing model. For this purpose, three types of geological materials namely basalt, anorthosite, and quartzite representing high, moderate and low albedos were used. Multi-phase reflectance spectra of these rocks were acquired in varying combinations of grain size (2-4 mm, 1-2 mm, and <1mm) and patterns. The complexity of fabric was progressively increased from a three-boundary case to intimate mixture. Bi-directional reflectance spectra for different phase angles were collected using a spectroradiometer mounted on a goniometer setup. Subsequently, salient parameters addressing nonlinearity in Hapke model such as phase function, opposition effect, type of scattering for each combination of texture and fabric were estimated from the iteratively modeled spectra. The condition adopted to evaluate the modeling efficacy is the root mean square error (RMSE) between the measured and modeled spectra. When the desired RMSE (<0.01) is achieved, the iteration process is stopped and Hapke parameters corresponding to the best-fit model were retrieved. Analyses of results indicate that grain size, shape, and the fabric cumulatively influence the Hapke parameters such as Bo, b, and c. This clearly indicates that texture and fabric influence the basic physical properties of light scattering namely opposition effect, phase function, and forward/backward scattering property.
Spatial-temporal evolution analysis of the vegetation in the Chapadinha microregion (Maranhão, Brazil) through remote sensing
Authors: Silva Jadson Freire , Cavalcanti Silva Elisabeth Regina , Ferreira Pedro Santos , Gomes Viviane Pedroso , Barboza Kézia Mikaelly do Nascimento , Candeias Ana Lúcia Bezerra
Published: September 2022

The Chapadinha microregion, located in the eastern part of the state of Maranhão, Brazil, maintains a large agricultural production, especially soybeans, causing beyond largesse of the economy, which promotes a degradation of large areas of native forests. The analysis of space - temporal with remote sensing images can be a tool for understanding the area and possible decision making of allocated mandates. The objective of this study is to analyze spatial and temporal variation of the micro-Chapadinha, Maranhão, Brazil by remote sensing technique called Normalized Difference Vegetation Index - NDVI for the years 2007, 2010 and 2014. It is used Lands at 5 images - TM and 8 - OLI orbits 220 / 62-63 months of 22/07/2007, 15/08/2010 and 25/07/2014and it being applied processing equations of radiometric radiance, reflectance and NDVI. The NDVI for micro-Chapadinha vegetation indicated a fall of the years 2007 to 2010 and at the same time, an increase in agricultural activity; low NDVI areas that are not exposed in 2007 were observed in 2010, one of the causes of this advent can be the event El Niño in the Northeast. In 2014, vegetation indices showed high in much of the micro-region; the response of this increase may be the reaction of trees was once under water stress the great rainfall that year. The municipalities of Brejo, Milagres of Maranhão and Buriti are the most affected by farming, they still come extending and have propensities to leave the micro limits. Remote sensing responded with great efficiency, but the complexity of the natural environment make it necessary that there interconnections with other indices therefore resulting in a more efficient monitoring and analysis.
Temporal space variability for precipitation in the state of Pernambuco
Authors: Costa Adriana de Souza , Costa Wanessa Luana de Brito , Braga Célia Campos , Dantas Milena Pereira
Published: September 2022

This study aims to make a diagnostic analysis of rainfall at different time scales in the rainfall homogeneous regions of the state of Pernambuco and associate them with weather systems operating in the region. The state was divided into three geographical regions (HR) of rainfall regime, according to Ward's clustering method. In each RH applied to Wavelet Transform (TO) time series of 1995-2015 precipitation. The results showed that in all regions the dominant scale is annual. It is also observed the interaction with the semi-annual and seasonal scales mainly in RH2 and RH3 regions. The TO showed that high levels of rainfall in the regions are associated with different weather systems.
Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in part of Say'un-Masilah Basin of Yemen
Authors: Aseri Arafat Mohammed
Published: September 2022

GIS Provides spatial and analytical support to assess multicriteria (MCE) methods, which are used to combine data to show areas best fulfilling specific criteria. Petroleum explorations would benefit from an MCE method that is spatial, is flexible for combining heterogeneous data, considers the interpretive nature of the data, is geologically applicable, and is applicable for frontier areas or where little information exists regarding probabilities of the presence of petroleum .This study proposes a GIS-based MCE method for petroleum exploration based on fuzzy logic, which fulfills the previously stated requirements using 9 subcriteria combined to produce a favorability map of potential exploration areas. A case study applied to Sayun Almasilah Basin East Yemen. We conclude that the method can be applied in an exploration setting and, as such, is applicable for other regions of the world.
Desertification climatic susceptibility to the Center-North region of Brazilian Semi-Arid
Authors: Lopes Iug , Santos Saulo Medrado dos , Taura Tatiana Ayako , Oldoni Henrique , Leal Brauliro Gonçalves
Published: September 2022

Desertification process is a phenomenon of high environmental and social complexity because it embraces a significant number of indicators and variables that inter relate and that complement the comprehension of this process. One of the most useful and applied ways of the study of desertification verification is through the calculation of the Aridity Index (AI). This way, this present study uses that methodology to verify the situation of AI in Center-North region of Brazilian Semi-Arid. The aim was to investigate the variety of AI and its classifications during the period between 1961 and 2015, using temporal series of 30 years, expressed in the time interval of 2005, 2010 and 2015. It was possible to observe that therefore some changes in AI in many locations, where quantitative changes happened in the area, increasing mainly to the conditions of aridity aggravation, there was not the meaningful occurrence of alteration in the Desertification Tendency classification.
Installation of Environmental Technology for Water Retention at the University Farm of UFRPE/UAG
Authors: Vasconcelos José Victor Ávila Correia de
Published: September 2022

Due to the greatest drought problems in the Northeast region of Brazil, especially in the Semi-arid region of the State of Pernambuco, and the lack of sustainable water and soil conservation technologies, this work aims to apply the BAPUCOSA Methodology (Barrier with Used Tires for Containment of Soil and Water), at the University Farm of UFRPE (Federal Rural University of Pernambuco – Brazil), developed by Baracuhy (2007), which promotes the partial obstruction of the surface water flow and of the soils carried in temporary channels, promoting a greater storage of water. In addition to this, the water storage capacity of this dam was calculated, disregarding soil infiltration and recommended more in-depth studies on this subject.
Spatial analysis on the watershed of Goiana River – PE: comparison with the use of geoprocessing and ANA data
Authors: Farias Paulo , Araújo Maria do S. B. de
Published: September 2022

The recognition of a watershed is extremely important for the planning of the water resources, the geotechnology contributes for a better comprehension of the natural forms in computational environment with a higher level of details, lower time-demanded precision, therefore this research aims to use computational techniques to delimit the watersheds, especially Goiana River one, in Mata Norte Zone of Pernambuco, and, at the end, to establish a relation with the watersheds data of the Oriental Northeastern Atlantic watersheds published in 2013 by ANA (Agência Nacional de Águas) and made available on GeoNetwork platform. It was made use of the Digital Elevation Model with resolution of 30 metres in the Software environment ArcGis 10.3, as well as a sequence of data processing available on the ArcHydrotools. The result of the obtained delimitation with the methodology applied in this paper approached the ANA data fairly enough.
Seasonality of Vegetation Indices in different land uses in the São Francisco Valley
Authors: Santos Cloves Vilas Boas dos , Baptista Gustavo Macedo de Mello , Moura Magna Soelma Beserra de
Published: September 2022

Remote Sensing has been used in researches with higher frequency to allow the analysis of the surface without the contact with the targets, allowing to identify biophysical conditions of the vegetation and understanding its photosynthetic dynamics. The objective of this study was to analyze the seasonal behavior of NDVI and EVI2 vegetation indices with and without transforming wavelets in areas with different soil uses in the São Francisco Valley and to verify their relationship with the occurrence of rainfall. The study was carried out in areas of preserved and degraded caatinga, and degraded pasture in the municipality of Petrolina-PE. NDVI was determined on 20 OLI sensor images with dates representing rainy and dry periods between 2013 and 2016. EVI2 data with and without filter were obtained for MODIS pixels. Precipitation data were used to understand the relationship between vegetation indexes and rainfall occurrence. The results showed that the studied areas presented similar behavior among vegetation indexes, but with different intensities, presenting higher values in January 2014, April 2015 and March 2016, coinciding with the occurrence of higher precipitation records in the region. The relationship between vegetation indexes and precipitation was linear. Therefore, it was possible to determine the seasonality of the studied areas, making it possible to understand that through the OLI and MODIS data, it was possible to analyze the dynamics of the vegetation and its relation to the rainfall.