Annual Crop Classification Experiments in Portugal Using Sentinel-2. - Pedro Benevides; Hugo Costa; Francisco D. Moreira; Daniel Moraes; Mario Caetano (IGARSS, 2021)

Exploring the Potential of Sentinel-2 Data for Tree Crown Mapping in Oak Agro-Forestry Systems. - Hugo Costa; Inês Machado; Francisco D. Moreira; Pedro Benevides; Daniel Moraes; Mário Caetano (IGARSS, 2021)

Influence of Sample Size in Land Cover Classification Accuracy Using Random Forest and Sentinel-2 Data in Portugal. - Daniel Moraes; Pedro Benevides; Hugo Costa; Francisco D. Moreira; Mario Caetano (IGARSS, 2021)

Exploring Different Levels of Class Nomenclature in Random Forest Classification of Sentinel-2 Data. - Daniel Moraes; Pedro Benevides; Hugo Costa; Francisco D. Moreira; Mario Caetano (IGARSS, 2022)

Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge. - Hugo Costa; Pedro Benevides; Francisco D. Moreira; Daniel Moraes; Mário Caetano (Remote. Sens., 2022)

Exploring Spectral Data, Change Detection Information and Trajectories for Land Cover Monitoring over a Fire-Prone Area of Portugal. - André Alves; Daniel Moraes; Bruno Barbosa; Hugo Costa; Francisco D. Moreira; Pedro Benevides; Mário Caetano; Manuel Lameiras Campagnolo (GISTAM, 2023)

Continuous forest loss monitoring in a dynamic landscape of Central Portugal with Sentinel-2 data. - Daniel Moraes; Bruno Barbosa; Hugo Costa; Francisco D. Moreira; Pedro Benevides; Mário Caetano; Manuel Lameiras Campagnolo (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Accuracy Assessment and Comparison of National, European and Global Land Use Land Cover Maps at the National Scale - Case Study: Portugal. - Cidália Costa Fonte; Diogo Duarte; Ismael Jesus; Hugo Costa; Pedro Benevides; Francisco D. Moreira; Mário Caetano (Remote. Sens., 2024)