Daniel Carcereri
Orcid: 0000-0002-3956-1409
According to our database1,
Daniel Carcereri
authored at least 11 papers
between 2020 and 2024.
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Bibliography
2024
Country-Scale Mapping of Forest Parameters Using Deep Learning and Tandem-X Insar Data.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
2023
A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Monitoring Forest Degradation in the Amazon Basin with Tandem-X High-Resolution Images and Deep Learning Techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Remote. Sens., 2022
Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2020
Large-Scale Precise Mapping of Agricultural Fields in Sentinel-2 Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020