Análise da distribuição espacial de índices de vegetação em olival de montanha : casos de estudo
Type
masterThesis
Identifier
203201930
Title
Análise da distribuição espacial de índices de vegetação em olival de montanha : casos de estudo
Contributor
Fernandez, Paulo Alexandre Justo
Subject
Olival
Montanha
VANT
Índices vegetativos
Olive grove
Mountain
UAV
Vegetative indices
Domínio/Área Científica::Ciências Agrárias
Montanha
VANT
Índices vegetativos
Olive grove
Mountain
UAV
Vegetative indices
Domínio/Área Científica::Ciências Agrárias
Relation
CENTRO-01-0246-FEDER-000004 / 6756
Date
2023-01-31T17:24:58Z
2023-01-31T17:24:58Z
2022
2023-01-31T17:24:58Z
2022
Description
Este trabalho disponibiliza, duma forma que se pretende simples, mais informação
sobre a aplicação e os benefícios das Tecnologias de Informação Geográfica (TIG) na
monitorização e gestão do olival de montanha.
No âmbito do projeto Promoção e Valorização de Azeites de Montanha (CENTRO-
01-0246-FEDER-000004 / 6756), foram utilizados Veículos Aéreos Não Tripulados
(VANT) e câmaras multiespectrais, que sobrevoaram e adquiriram dados geoespaciais
de olivais de montanha, localizados no concelho de Figueira de Castelo Rodrigo.
O geoprocessamento dos dados obtidos permitiu o cálculo de diferentes índices de
vegetação que, posteriormente, foram relacionados com os dados provenientes dos
registos nos cadernos de campo do produtor, com a fisiografia dos olivais e com as
propriedades físico-químicas do solo. Os melhores resultados foram apresentados pelo
NDVI, o SR e o MSR, seguidamente pelo OSAVI. O índice Greenness não teve uma boa
aplicação nestas parcelas. Não se encontraram correlações significativas entre os IV e
os parâmetros fisiográficos, nem com as caraterísticas das oliveiras (área de copa ou
altura da árvore), nem com o estado nutricional dos solos.
A informação da avaliação dos índices de vegetação obtidos em cada fase vegetativa
do olival, revelou-se um contributo importante para melhorar a gestão olivícola,
assegurando as vantagens da utilização das TIG, mesmo em olivais tradicionais de
montanha.
Abstract: This work provides, in a way that is intended to be simple, more information about the application and benefits of Geographic Information Technologies (GIT) in the monitoring and management of mountain olive groves. Within the scope of the Promotion and Valorization of Mountain Olive Oils project (CENTRO-01-0246-FEDER-000004 / 6756), Unmanned Aerial Vehicles (UAV) and multispectral cameras were used, which flew over and acquired geospatial data of mountain olive groves, located in the municipality of Figueira de Castelo Rodrigo. The geoprocessing of the data obtained allowed the calculation of different vegetation indices that were later related to the data from the records in the producer's field notebooks, with the physiography of the olive groves and with the physicochemical properties of the soil. The best results were presented by NDVI, SR and MSR, followed by OSAVI. The Greenness index did not have a good application in these plots. No significant correlations were found between the VI and the physiographic parameters, neither with the characteristics of the olive trees (crop area or tree height), nor with the nutritional status of the soils. The information from the evaluation of the vegetation indices obtained in each vegetative stage of the olive grove, proved to be an important contribution to improving olive management, ensuring the advantages of using TIG, even in traditional mountain olive groves.
Abstract: This work provides, in a way that is intended to be simple, more information about the application and benefits of Geographic Information Technologies (GIT) in the monitoring and management of mountain olive groves. Within the scope of the Promotion and Valorization of Mountain Olive Oils project (CENTRO-01-0246-FEDER-000004 / 6756), Unmanned Aerial Vehicles (UAV) and multispectral cameras were used, which flew over and acquired geospatial data of mountain olive groves, located in the municipality of Figueira de Castelo Rodrigo. The geoprocessing of the data obtained allowed the calculation of different vegetation indices that were later related to the data from the records in the producer's field notebooks, with the physiography of the olive groves and with the physicochemical properties of the soil. The best results were presented by NDVI, SR and MSR, followed by OSAVI. The Greenness index did not have a good application in these plots. No significant correlations were found between the VI and the physiographic parameters, neither with the characteristics of the olive trees (crop area or tree height), nor with the nutritional status of the soils. The information from the evaluation of the vegetation indices obtained in each vegetative stage of the olive grove, proved to be an important contribution to improving olive management, ensuring the advantages of using TIG, even in traditional mountain olive groves.
Access restrictions
openAccess
http://creativecommons.org/licenses/by/4.0/
http://creativecommons.org/licenses/by/4.0/
Language
por
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