01. Universidade Federal Rural de Pernambuco - UFRPE (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/1
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22 resultados
Resultados da Pesquisa
Item Relatório de Estágio Supervisionado Obrigatório. Avaliação da mudança de paisagem nos municípios de Amaraji (PE) e Chã-Grande (PE) durante os anos (1985 - 2020) utilizando dados do Projeto MapBiomas(2024-10-11) Pedrosa, Hugo Bandeira D’Arolla; Nascimento, Cristina Rodrigues; http://lattes.cnpq.br/9289129949520610; http://lattes.cnpq.br/4470288990031188Item Análise das características dos índices de vegetação em um plantio de Eucalyptus spp. utilizando imagens do Sentinel-2A(2023-09-14) Silva, Adailton Domingos Salustiano da; Silva, Emanuel Araújo; Sá, Vânia Aparecida de; http://lattes.cnpq.br/5807408661337266; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7511858370212406Item Influência das áreas verdes urbanas sobre a temperatura de superfície utilizando sensoriamento remoto(2023-07-07) Siqueira, Ítalo Fernandes Pessôa; Alba, Elisiane; Oliveira, Géssyca Fernanda de Sena; http://lattes.cnpq.br/8717407990656771; http://lattes.cnpq.br/1465154212352591; http://lattes.cnpq.br/6866008330390945Item Avaliação da contaminação por metais pesados em solos urbanos da Região Metropolitana do Recife: bioacessibilidade e correlação com NDVI(2024-03-07) Mello, Lucas José Souza de; Biondi, Caroline Miranda; Lins, Simone Aparecida da Silva; http://lattes.cnpq.br/7329862411748916; http://lattes.cnpq.br/8326756664758702; http://lattes.cnpq.br/8741487779369891Urban pollution by heavy metals is a subject of great socio-environmental relevance due to its potential deleterious effects on human and ecological health. Remote sensing, particularly the use of the Normalized Difference Vegetation Index (NDVI), emerges as a promising tool to assess vegetation health and potential impacts of soil contamination. In this regard, the present study aimed to evaluate the total contents and bioaccessibility of heavy metals in urban soil of the Recife Metropolitan Region and its chemical characteristics, obtain the NDVI of the sampled areas, and correlate it with the total metal contents analyzed. The research was conducted in the Recife Metropolitan Region (RMR), where samples of surface soil were collected in distinct urban areas and their points were georeferenced. The samples were analyzed for pH values, Organic Carbon, Soil Cation Exchange Capacity (CTC), and total heavy metal contents using Energy Dispersive X-ray Fluorescence (pXRF). Metal contents were compared with Quality Reference Values, and in vitro assays were performed to determine metal bioaccessibility in the soil. For NDVI estimation, images obtained from the CBERS-4A satellite with 8m spatial resolution were used, and buffers with radii of 55, 110, and 220m were applied to demarcate the area to be analyzed based on the sampled points. The results revealed high levels of heavy metals in urban areas of the RMR, exceeding the Quality Reference Values for the state of Pernambuco, yet the metals exhibit low bioaccessibility. Regarding the size of the analyzed area, there was no significant difference in relation to the values obtained. Additionally, a negative correlation was observed between most soil metal contents and NDVI, meaning that as NDVI increases, metal contents decrease.Item Índice de salinidade do solo por sensoriamento remoto em bacia hidrográfica no submédio São Francisco(2023) Dias, Maria Caroline da Silva; Lopes, Pabrício Marcos Oliveira; http://lattes.cnpq.br/0703321303981408; http://lattes.cnpq.br/0183881695413526Item Dinâmica da cobertura da terra (2016-2023): um estudo no Parque Natural Municipal Mata do Frio e seu entorno, Paulista - PE(2023-09-18) Lima, Richely da Silva; Lima Neto, Everaldo Marques de; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/6791561445213969; http://lattes.cnpq.br/5078677187654553The Conservation Units (UC) in Brazil are used as tools for increasing environmental preservation and ecosystem protection. However, without proper monitoring and management, they become targets for degradation and environmental crimes, particularly those units located in urban areas, which are subject to anthropogenic pressure. Taking into consideration the reported cases of deforestation within the Municipal Natural Park Mate do Frio in Paulista - PE, this study aimed to analyze the land use and land cover of this conservation unit using remote sensing techniques, specifically the Normalized Difference Vegetation Index (NDVI), to assess changes over a 7-year interval based on satellite images from the Planet Satellite. To achieve this, study area cutouts from the years 2016 and 2023 were utilized, and a 1 km buffer was generated to assess the influence area. The NDVI calculation was applied to the cutout images. and the classes were reclassified based on their values into water, exposed soil, anthropized areas, low vegetation. and dense vegetation. Additionally, images from the studied years were correlated to identify changes in land cover. The study revealed an increase in dense vegetation within the UC, rising from 26.72% to 65.81%, along with a reduction in anthropized areas from 3.33% to 1.89% of the total area. Conversion of anthropogenic areas into low and dense vegetation was observed, accounting for 4.74% and 0.28%, respectively. Despite these positive findings, deforestation of 1.17 ha (5.70% of vegetation area) was noted. Concerning the surrounding area, there was an increase in anthropized areas from 33.17% to 47.12% due to urban expansion, with part of this anthropized area resulting from the deforestation of 67.41 ha of low vegetation. To validate the accuracy of the obtained data, the kappa index was used, showing values above 80% (very good) for the 2016 images and above 90% (excellent) for the 2023 images. The study results indicated that the environmental degradations in the specific UC were not significant but were noticeable, highlighting the need for increased monitoring, environmental education practices with the community, implementation of the unit's management plan, and the delineation of its buffer zone, given the anthropogenic pressure in the surrounding area of the Park.Item Identificação operacional de áreas com potencial de regeneração e/ou recuperação vegetal nas mesorregiões Sertão e São Francisco pernambucano(2023-07-17) Gouveia, José Rafael Ferreira de; Nascimento, Cristina Rodrigues; http://lattes.cnpq.br/9289129949520610; http://lattes.cnpq.br/5471553264542605Fire has been used for many years in Brazil, serving for various purposes. However, if handled wrongly, it can cause fires with immense damage to the environment. The Sertão and São Francisco Pernambucano mesoregions are susceptible to the occurrence of fires, since the predominant biome is the Caatinga, semi-arid climate and low rainfall. This article aims to characterize and quantify hot spots and operationally identify fires in the mentioned mesoregions in the period from 2014 to 2020, in the driest months of the year, as well as the power of plant regeneration. The images from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on board the TERRA platform, products MOD14A1, MOD09GQ, MOD13Q1 and MOD09Q1 were used in order to characterize the areas affected by hot spots, analyze the Normalized Difference Vegetation Index (NDVI) and implement a script on the Google Earth Engine (GEE) platform for the operational identification of areas with potential for plant regeneration. Results show an increasing behavior in the number of hot spots, with a reduction in the year 2020. The year 2019 had the highest number of regenerated areas, with 37. The script proved to be effective with minimum hits of 56%, being in mostly greater than 75%. In addition, the maximum errors were 25% of omission in October 2020 and 43.75% of commission in September 2016. In this sense, the techniques employed were able to detect the regions affected by the fires, as well as their potential for plant regeneration.Item Sensoriamento remoto aplicado ao estudo de mudanças ambientais no Nordeste do Brasil(2021) Rufino, Braynner Andrade; Moura, Geber Barbosa de Albuquerque; http://lattes.cnpq.br/5290189594470508; http://lattes.cnpq.br/6532123398345334Degradation of cultivable areas is a problem that has been getting worse in the Brazil Northeast. Remote sensing stands out as an important tool for its monitoring, through the analysis of Vegetative Indices (VIs). Therefore, the present work aims to use the Google Earth Engine tool in the manipulation of scripts, to obtain the biophysical parameters and maps of the VIs (NDVI, EVI, SAVI, NDWI) in the period from 2000 to 2020 and years of El-Niño and La-Niña. MODIS products facilitate the process for data collection in ideal conditions where the collected values will be of greater relevance. The relationship between the spectra of the bands generates the Vegetative Indices in time and space required with accurate evaluation, and in the future these data obtained can be used as a basis for agriculture, fishing, reforestation activities or monitoring the progress of degraded areas.Item Dinâmica do risco de incêndios sob efeito do El Niño em paisagem do bioma Caatinga em Petrolina - PE(2023-02-17) Feitosa, Márcio Faustino; Silva, Emanuel Araújo; Souza, Ioneide Alves de; http://lattes.cnpq.br/0383867840261318; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7669915736150355Remote sensing techniques have been used since the 1960s to work on a particular object or specific area. Over time, technologies have gained improvements and new software and high resolution satellites have emerged. The Landsat-8 satellite can capture scenes up to 705 km away from earth, with a percentage of 10% of clouds, these scenes can be processed and studied for a certain purpose, among these was the dynamics of fire risk under the effect of El Niño in landscape of the Caatinga Biome. Therefore, it is intended to study the vulnerability of Caatinga and the use of monitoring technologies. The objective of this work is to evaluate the influence of El Niño on the dynamics of fire risk under the landscape of the Caatinga biome in Petrolina-PE, monitoring the risk of fire in relation to the severity of El Niño. Images of the Lansat-8 satellite in the municipality of Petrolina-PE were obtained from the USGS website. The following criteria were adopted for image selection: Data from 2015 to 2020, counting from August 1st to December 31st, at times when there are few precipitations, few clouds and high temperatures due to the warmer months. The tool in data processing was Qgis software, a free license software, indicated for those seeking high quality in academic work in the area of Remote Sensing. In the interval of these years, six fire risk maps were obtained. Togenerate the forest fire risk maps and adopted the AHP methodology, widely used by several authors. Where we obtained eight variables: hypsometric map, land use and occupation, slope orientation, slope, road system, precipitation, surface temperature and vegetation index of the normalized difference. According to the results, a temporal analysis of fire risks was obtained, proving that the years 2015 to 2018 had a continuous increase, and in 2019 and 2020 there was a fall in fire risk. Between these last years there was an El Niño and a La Niña and 2020 was the year that the pandemic occurred, that is, there were few transport flows on the highways, causing low risk of fires.Item Histórico das mudanças nas classes de uso e cobertura do solo nas fazendas da Eucatex no estado de São Paulo(2022-09-27) Silva, Yasmim Victória de Araújo e; Berger, Rute; Marques, Luísa Pereira; http://lattes.cnpq.br/1603075418219366; http://lattes.cnpq.br/5395827385005105; http://lattes.cnpq.br/0643141145421813The consumption of forest-based products has increased in recent decades and forestry has been considered a strategic segment to collaborate and encourage the increase in the production of wood products. Until 2019, forest plantations represented about 9.8 million hectares in Brazil. The first land use and land cover classification system with remote sensing data aimed to identify the different categories of land classes. Land cover changes can be related to conversions, which are the complete replacement of one type of cover with another. The objective of this work was to measure the conversion of areas in forest management farms planted with Eucalyptus sp. of Eucatex Florestal, which are the scope of forest certification (FSC-FM), following the natural forest in an interval of up to 27 years (1994 – 2021). The study areas correspond to 51 Eucatex Florestal farms in the regions of Botucatu, Sorocaba and Bauru, in the state of São Paulo, distributed in 18 municipalities. In this study, Eucalyptus is not planted in conjunction with natural forest, but at the stands for commercial purposes, and areas with native species are separated by setbacks or trails. Imagery from satellite Landsat 5, 7, and 8 was used, depending on availability for the requested date. The images were downloaded from the Earth Explorer website and the maximum likelihood method was applied. Of the 51 farms analyzed, 43 had an increase in their natural forest areas and only eight had some type of vegetation loss. The Morrinhos Radar farm showed the greatest increase in the “natural forest” class since 1994, totaling 455.13 ha converted. The Santa Filomena farm had the greatest area loss, with 39.82 ha of its natural forest areas lost, and the other seven farms lost less than 10 ha. There was a increase in the natural forest cover spontaneously, without the application of forest restoration techniques, only with the isolation of the areas. The farms lost more area of natural forest before being acquired by the company, whereas after the implantation of the Eucalyptus stands, there was an increase in the natural areas. The culture of Eucalyptus sp. did not interfere with the regeneration of natural forest areas.
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