| Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities N Guimarães, L Pádua, P Marques, N Silva, E Peres, JJ Sousa Remote Sensing 12 (6), 1046, 2020 | 201 | 2020 |
| Vineyard variability analysis through UAV-based vigour maps to assess climate change impacts L Pádua, P Marques, T Adão, N Guimarães, A Sousa, E Peres, JJ Sousa Agronomy 9 (10), 581, 2019 | 62 | 2019 |
| Effectiveness of sentinel-2 in multi-temporal post-fire monitoring when compared with UAV imagery L Pádua, N Guimarães, T Adão, A Sousa, E Peres, JJ Sousa ISPRS International Journal of Geo-Information 9 (4), 225, 2020 | 40 | 2020 |
| Future changes in rice bioclimatic growing conditions in Portugal H Fraga, N Guimarães, JA Santos Agronomy 9 (11), 674, 2019 | 21 | 2019 |
| Classification of an agrosilvopastoral system using RGB Imagery from an unmanned aerial vehicle L Pádua, N Guimarães, T Adão, P Marques, E Peres, A Sousa, JJ Sousa EPIA Conference on Artificial Intelligence, 248-257, 2019 | 15 | 2019 |
| Post-fire forestry recovery monitoring using high-resolution multispectral imagery from unmanned aerial vehicles L Pádua, T Adão, N Guimarães, A Sousa, E Peres, JJ Sousa The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 14 | 2019 |
| Future scenarios for olive tree and grapevine potential yields in the World Heritage Côa region, Portugal H Fraga, N Guimarães, TR Freitas, AC Malheiro, JA Santos Agronomy 12 (2), 350, 2022 | 13 | 2022 |
| Vineyard classification using machine learning techniques applied to RGB-UAV imagery L Pádua, T Adão, J Hruška, N Guimarães, P Marques, E Peres, JJ Sousa IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 12 | 2020 |
| VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software N Guimarães, L Pádua, T Adão, J Hruška, E Peres, JJ Sousa ISPRS international journal of geo-information 9 (11), 679, 2020 | 8 | 2020 |
| Almond cultivar identification using machine learning classifiers applied to UAV-based multispectral data N Guimarães, L Pádua, JJ Sousa, A Bento, P Couto International Journal of Remote Sensing 44 (5), 1533-1555, 2023 | 5 | 2023 |
| Vintage Port prediction and climate change scenarios H Fraga, N Guimarães, J Santos OENO One 57 (4), 2023 | 3 | 2023 |
| Climate change impacts on the Côa Basin (Portugal) and potential impacts on agricultural irrigation D Rodrigues, A Fonseca, O Stolarski, TR Freitas, N Guimarães, JA Santos, ... Water 15 (15), 2739, 2023 | 3 | 2023 |
| Comparative Evaluation of Remote Sensing Platforms for Almond Yield Prediction N Guimarães, H Fraga, JJ Sousa, L Pádua, A Bento, P Couto AgriEngineering 6 (1), 240-258, 2024 | 1 | 2024 |
| Identification of Aphids Using Machine Learning Classifiers on UAV-Based Multispectral Data N Guimarães, L Pádua, JJ Sousa, A Bento, P Couto IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
| Almond Orchard Management Using Multi-Temporal UAV Data: A Proof of Concept N Guimarães, L Pádua, JJ Sousa, A Bento, P Couto IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Remote Sensing Applications in Almond Orchards: A Comprehensive Systematic Review of Current Insights, Research Gaps, and Future Prospects N Guimarães, JJ Sousa, L Pádua, A Bento, P Couto Applied Sciences 14 (5), 1749, 2024 | | 2024 |
| Almond tree monitoring using spatiotemporal data collected by an unmanned aerial vehicle. N Guimarães, L Pádua, JJ Sousa, A Bento, P Couto | | 2023 |
| Monitorização da amendoeira através de dados espacio-temporais adquiridos por veículo aéreo não tripulado N Guimarães, L Pádua, JJ Sousa, A Bento, P Couto Revista de Ciências Agrárias 46 (2), 176-180, 2023 | | 2023 |
| Future Scenarios for Olive Tree and Grapevine Potential Yields in the World Heritage Côa Region, Portugal. Agronomy 2022, 12, 350 H Fraga, N Guimarães, TR Freitas, AC Malheiro, JA Santos s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022 | | 2022 |
| Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities LF Pádua, EP Correia, N Silva, P Marques, N Guimaraes, JJ Sousa | | 2020 |
