3 resultados para Monitoring urban growth
em Repositório Científico da Universidade de Évora - Portugal
Resumo:
Esta dissertação estuda a problemática da conservação dos alçados da Rua Grande, localizada no Centro antigo da cidade de São Luís, capital do Estado do Maranhão, Brasil, a partir do crescimento urbano ocorrido principalmente a partir do século XIX à atualidade, com interferências devido às alterações do uso do solo. Iniciado com pesquisa in loco e nos departamentos de preservação do património arquitetónico do Município, Estado e Governo Federal, este estudo busca elaborar estratégias de intervenção adaptadas às necessidades locais, visando a participação da população, com cursos de educação patrimonial e consultas públicas. Esta proposta foi possível a partir da realização de diversas etapas de trabalho, partindo do enquadramento geral e histórico de São Luís, com foco específico na Rua Grande, discorrendo sobre a importância desta via ao desenvolvimento urbano da cidade. Desta forma, com vistas a possibilitar um melhor entendimento da morfologia urbana do Centro da cidade, analisou-se a malha delimitada pelo Anel Viário, importante via perimetral à zona central. Posteriormente, seguiu-se com a caracterização do acervo arquitetónico, com pesquisa acerca dos materiais e sistemas construtivos, permitindo o entendimento das diversas anomalias observadas a partir de análise laboratorial das amostras coletadas em algumas edificações. A elaboração de Cartas Temáticas permitiu um melhor entendimento de situações como uso do solo, gabarito, estilos arquitetónicos e dos estados de conservação e preservação, contando com o estudo da legislação local, o que permitiu, posteriormente, delinear-se as estratégias de intervenção. /SUMMARY: This dissertation examines the problems related to the conservation of the facades of the Grande street, located in the old city center of São Luis, capital of the northeastern state of Maranhão, Brazil, caused by the extensive urban growth that occurred from the XIX century to the current days, with numerous interferences due to changes in the building codes. The study began with a research in the federal, state and municipal departments of architectural heritage. The main objective was to suggest strategies of intervention adapted to the local needs, with community participation such as educational courses and public consultations. This proposal was made possible after completing several phases of work, starting with the general framing and historical background of São Luis, focusing on the Grande street, portraying the important role played by this street in the urban development of the city. Thus, with the intention of allowing a better understanding of the urban morphology in the city center, an analysis was made within the area limited by the road ring that surrounds the center. The study continued with the characterization of the architectural estate, with a research about the materials and construction systems, allowing the understanding of the several anomalies observed in the laboratorial analysis on the samples gathered from some buildings. The elaboration of the Thematic Charts allowed for a better understanding of the situation, such as land use, building codes, architectural styles and level of conservation and preservation, taking into account the local regulations, which made possible to set out some strategies of intervention.
Resumo:
Estimation of pasture productivity is an important step for the farmer in terms of planning animal stocking, organizing animal lots, and determining supplementary feeding needs throughout the year. The main objective of this work was to evaluate technologies which have potential for monitoring aspects related to spatial and temporal variability of pasture green and dry matter yield (respectively, GM and DM, in kg/ha) and support to decision making for the farmer. Two types of sensors were evaluated: an active optical sensor(OptRx®, which measures the NDVI, Normalized Difference Vegetation Index) and a capacitance probe (GrassMaster II which estimates plant mass). The results showed the potential of NDVI for monitoring the evolution of spatial and temporal patterns of vegetative growth of biodiverse pasture. Higher NDVI values were registered as pasture approached its greatest vegetative vigor, with a significant fall in the measured NDVI at the end of Spring, when the pasture began to dry due to the combination of higher temperatures and lower soil moisture content. This index was also effective for identifying different plant species (grasses/legumes) and variability in pasture yield. Furthermore, it was possible to develop calibration equations between the capacitance and the NDVI (R2 = 0.757; p < 0.01), between capacitance and GM (R2 = 0.799; p<0.01), between capacitance and DM (R2 = 0.630; p<0.01), between NDVI and GM (R2=0.745; p < 0.01), and between capacitance and DM (R2=0.524; p<0.01). Finally, a direct relationship was obtained between NDVI and pasture moisture content (PMC, in %) and between capacitance and PMC (respectively, R2 = 0.615; p<0.01 and R2=0.561; p <0.01) in Alentejo dryland farming systems.
Resumo:
Site-specific management (SSM) is a form of precision agriculture whereby decisions on resource application and agronomic practices are improved to better match soil and crop requirements as they vary in the field. SSM enables the identification of regions (homogeneous management zones) within the area delimited by field boundaries. These subfield regions constitute areas that have similar permanent characteristics. Traditional soil and pasture sampling and the necessary laboratory analysis are time-consuming, labour-intensive and cost prohibitive, not viable from a SSM perspective because it needs a large number of soil and pasture samples in order to achieve a good representation of soil properties, nutrient levels and pasture quality and productivity. The main objective of this work was to evaluate technologies which have potential for monitoring aspects related to spatial and temporal variability of soil nutrients and pasture green and dry matter yield (respectively, GM and DM, in kg/ha) and support to decision making for the farmer. Three types of sensors were evaluated in a 7ha pasture experimental field: an electromagnetic induction sensor (“DUALEM 1S”, which measures the soil apparent electrical conductivity, ECa), an active optical sensor ("OptRx®", which measures the NDVI, “Normalized Difference Vegetation Index”) and a capacitance probe ("GrassMaster II" which estimates plant mass). The results indicate the possibility of using a soil electrical conductivity probe as, probably, the best tool for monitoring not only some of the characteristics of the soil, but also those of the pasture, which could represent an important help in simplifying the process of sampling and support SSM decision making, in precision agriculture projects. On the other hand, the significant and very strong correlations obtained between capacitance and NDVI and between any of these parameters and the pasture productivity shows the potential of these tools for monitoring the evolution of spatial and temporal patterns of the vegetative growth of biodiverse pasture, for identifying different plant species and variability in pasture yield in Alentejo dry-land farming systems. These results are relevant for the selection of an adequate sensing system for a particular application and open new perspectives for other works that would allow the testing, calibration and validation of the sensors in a wider range of pasture production conditions, namely the extraordinary diversity of botanical species that are characteristic of the Mediterranean region at the different periods of the year.