| Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network VD Pham, QT Bui Remote Sensing Letters 12 (7), 654-665, 2021 | 15 | 2021 |
| Advancing peatland vegetation mapping by spaceborne imaging spectroscopy M Arasumani, F Thiel, VD Pham, C Hellmann, M Kaiser, S van der Linden Ecological Indicators 154, 110665, 2023 | 13 | 2023 |
| Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring VD Pham, F Thiel, D Frantz, A Okujeni, F Schug, S van der Linden Remote Sensing of Environment 308, 114206, 2024 | 8 | 2024 |
| Temporally transferable crop mapping with temporal encoding and deep learning augmentations VD Pham, G Tetteh, F Thiel, S Erasmi, M Schwieder, D Frantz, ... International Journal of Applied Earth Observation and Geoinformation 129 …, 2024 | 5 | 2024 |
| Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics F Schug, KA Pfoch, VD Pham, S van der Linden, A Okujeni, D Frantz, ... Remote Sensing of Environment 311, 114260, 2024 | 4 | 2024 |
| Mapping vegetation cover on rewetted fen peatlands using hyperspectral spaceborne images from DESIS and PRISMA A Muthusamy, F Thiel, VD Pham, C Hellmann, S van der Linden EGU General Assembly Conference Abstracts, EGU-5352, 2023 | 1 | 2023 |
| An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022 VD Pham, F de Waard, F Thiel, B Bobertz, C Hellmann, DV Nguyen, ... Scientific Data 11 (1), 1242, 2024 | | 2024 |
| Mapping Tree Species Fractions in Temperate Mixed Forests Using Sentinel-2 Time Series D Klehr, J Stoffels, A Hill, VD Pham, S van der Linden, D Frantz Available at SSRN 4992619, 0 | | |
