Search Results - "Pádua, Luís"

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  1. 1

    Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry by Adão, Telmo, Hruška, Jonáš, Pádua, Luís, Bessa, José, Peres, Emanuel, Morais, Raul, Sousa, Joaquim

    Published in Remote sensing (Basel, Switzerland) (01-11-2017)
    “…Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be useful in many agroforestry applications. However, it lacks the spectral…”
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    Journal Article
  2. 2

    UAS, sensors, and data processing in agroforestry: a review towards practical applications by Pádua, Luís, Vanko, Jakub, Hruška, Jonáš, Adão, Telmo, Sousa, Joaquim J., Peres, Emanuel, Morais, Raul

    Published in International journal of remote sensing (19-05-2017)
    “…The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that…”
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    Journal Article
  3. 3

    Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities by Guimarães, Nathalie, Pádua, Luís, Marques, Pedro, Silva, Nuno, Peres, Emanuel, Sousa, Joaquim J.

    Published in Remote sensing (Basel, Switzerland) (01-03-2020)
    “…Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing…”
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  4. 4

    Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry by Jurado, Juan M., López, Alfonso, Pádua, Luís, Sousa, Joaquim J.

    “…•A collection of previous work for the characterization of real-world scenarios by fusing 3D geometry with thermal, multispectral and hyperspectral…”
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  5. 5

    Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery by Simes, Tomás, Pádua, Luís, Moutinho, Alexandra

    Published in Remote sensing (Basel, Switzerland) (01-01-2024)
    “…Wildfires present a significant threat to ecosystems and human life, requiring effective prevention and response strategies. Equally important is the study of…”
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  6. 6

    Automatic Grapevine Trunk Detection on UAV-Based Point Cloud by Jurado, Juan M., Pádua, Luís, Feito, Francisco R., Sousa, Joaquim J.

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…The optimisation of vineyards management requires efficient and automated methods able to identify individual plants. In the last few years, Unmanned Aerial…”
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  7. 7

    Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes by Marques, Pedro, Pádua, Luís, Sousa, Joaquim J., Fernandes-Silva, Anabela

    Published in Remote sensing (Basel, Switzerland) (01-10-2023)
    “…Global warming presents a significant threat to the sustainability of agricultural systems, demanding increased irrigation to mitigate the impacts of prolonged…”
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  8. 8

    Unveiling the future of relict Mediterranean mountain peatlands by integrating the potential response of ecological indicators with environmental suitability assessments by Fonseca, André, Santos, João, Pádua, Luís, Santos, Mário

    Published in Ecological indicators (15-12-2023)
    “…Mediterranean mountain peatlands are unique ecosystems because of their distinct hydrology and environmental conditions, as well as being home to a vast array…”
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  9. 9

    Versatile method for grapevine row detection in challenging vineyard terrains using aerial imagery by Pádua, Luís, Chojka, Agnieszka, Morais, Raul, Peres, Emanuel, Sousa, Joaquim J.

    Published in Computers and electronics in agriculture (01-11-2024)
    “…•Novel method for curved grapevine row detection in steep slope vineyards.•Methodology tested across diverse vineyard layouts.•Grapevine and inter-row…”
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  10. 10

    Vineyard classification using OBIA on UAV-based RGB and multispectral data: A case study in different wine regions by Pádua, Luís, Matese, Alessando, Di Gennaro, Salvatore Filippo, Morais, Raul, Peres, Emanuel, Sousa, Joaquim J.

    Published in Computers and electronics in agriculture (01-05-2022)
    “…•Machine learning for vineyard classification using different UAV-based datasets.•OBIA method to perform vineyard classification.•Artificial neural networks…”
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  11. 11

    UAV-Based Automatic Detection and Monitoring of Chestnut Trees by Marques, Pedro, Pádua, Luís, Adão, Telmo, Hruška, Jonáš, Peres, Emanuel, Sousa, António, Sousa, Joaquim J.

    Published in Remote sensing (Basel, Switzerland) (01-04-2019)
    “…Unmanned aerial vehicles have become a popular remote sensing platform for agricultural applications, with an emphasis on crop monitoring. Although there are…”
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  12. 12

    Comparative Analysis of TLS and UAV Sensors for Estimation of Grapevine Geometric Parameters by Ferreira, Leilson, Sousa, Joaquim J, Lourenço, José M, Peres, Emanuel, Morais, Raul, Pádua, Luís

    Published in Sensors (Basel, Switzerland) (11-08-2024)
    “…Understanding geometric and biophysical characteristics is essential for determining grapevine vigor and improving input management and automation in…”
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  13. 13

    Satellite Remote Sensing Tools for Drought Assessment in Vineyards and Olive Orchards: A Systematic Review by Crespo, Nazaret, Padua, Luis, Santos, Joao A, Fraga, Helder

    Published in Remote sensing (Basel, Switzerland) (01-06-2024)
    “…Vineyards and olive groves are two of the most important Mediterranean crops, not only for their economic value but also for their cultural and environmental…”
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  14. 14

    Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review by Marques, Pedro, Pádua, Luís, Sousa, Joaquim J., Fernandes-Silva, Anabela

    Published in Remote sensing (Basel, Switzerland) (01-04-2024)
    “…This systematic review explores the role of remote sensing technology in addressing the requirements of sustainable olive growing, set against the backdrop of…”
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  15. 15

    Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery by Pádua, Luís, Marques, Pedro, Hruška, Jonáš, Adão, Telmo, Peres, Emanuel, Morais, Raul, Sousa, Joaquim

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…This study aimed to characterize vineyard vegetation thorough multi-temporal monitoring using a commercial low-cost rotary-wing unmanned aerial vehicle (UAV)…”
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  17. 17

    Individual Grapevine Analysis in a Multi-Temporal Context Using UAV-Based Multi-Sensor Imagery by Pádua, Luís, Adão, Telmo, Sousa, António, Peres, Emanuel, Sousa, Joaquim J.

    Published in Remote sensing (Basel, Switzerland) (01-01-2020)
    “…The use of unmanned aerial vehicles (UAVs) for remote sensing applications in precision viticulture significantly increased in the last years. UAVs’ capability…”
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  18. 18

    Combining UAV-Based Multispectral and Thermal Infrared Data with Regression Modeling and SHAP Analysis for Predicting Stomatal Conductance in Almond Orchards by Guimarães, Nathalie, Sousa, Joaquim J., Couto, Pedro, Bento, Albino, Pádua, Luís

    Published in Remote sensing (Basel, Switzerland) (01-07-2024)
    “…Understanding and accurately predicting stomatal conductance in almond orchards is critical for effective water-management strategies, especially under…”
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  19. 19

    Almond cultivar identification using machine learning classifiers applied to UAV-based multispectral data by Guimarães, Nathalie, Pádua, Luís, Sousa, Joaquim J., Bento, Albino, Couto, Pedro

    Published in International journal of remote sensing (04-03-2023)
    “…In Portugal, almonds are a very important crop, due to their nutritional properties. In the northeastern part of the country, the almond sector has endured…”
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  20. 20

    Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data by Pádua, Luís, Marques, Pedro, Martins, Luís, Sousa, António, Peres, Emanuel, Sousa, Joaquim J.

    Published in Remote sensing (Basel, Switzerland) (01-09-2020)
    “…Phytosanitary conditions can hamper the normal development of trees and significantly impact their yield. The phytosanitary condition of chestnut stands is…”
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