| Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation A Toker, L Kondmann, M Weber, M Eisenberger, A Camero, J Hu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space L Kondmann, A Toker, M Rußwurm, A Camero, D Peressuti, G Milcinski, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 37 | 2021 |
| Change detection in hyperdimensional images using untrained models S Saha, L Kondmann, Q Song, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 19 | 2021 |
| Measuring Changes in Poverty with Deep Learning and Satellite Imagery L Kondmann, XX Zhu ICLR Proceedings of the 1st Practical ML for Developing Countries Workshop, 1-6, 2020 | 15 | 2020 |
| Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images L Kondmann, A Toker, S Saha, B Schölkopf, L Leal-Taixé, XX Zhu IEEE Transactions on Geoscience and Remote Sensing, 2021 | 12 | 2021 |
| Early Crop Type Classification With Satellite Imagery-An Empirical Analysis L Kondmann, S Boeck, R Bonifacio, XX Zhu ICLR Practical ML for Developing Countries Workshop, 1-7, 2022 | 7 | 2022 |
| Deep no learning approach for unsupervised change detection in hyperspectral images S Saha, L Kondmann, XX Zhu ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021 | 7 | 2021 |
| Combining twitter and earth observation data for local poverty mapping L Kondmann, M Haeberle, XX Zhu NeuRIPS Machine Learning for the Developing World Workshop, 1-5, 2020 | 6 | 2020 |
| Under the Radar - Auditing Fairness in ML for Humanitarian Mapping L Kondmann, XX Zhu KDD Workshop on Humanitarian Mapping, 2021 | 5 | 2021 |
| Siamese attention U-Net for multi-class change detection S Cummings, L Kondmann, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Blinded by the Light: Monitoring Local Economic Development Over Time With Nightlight Emissions L Kondmann, H Taubenböck, XX Zhu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5708 …, 2021 | 2 | 2021 |
| Geography-Aware Masked Autoencoders for Change Detection in Remote Sensing L Kondmann, C Senaras, YM Asano, A Singh Rana, A Wania, XX Zhu EGU General Assembly Conference Abstracts, EGU-2843, 2023 | 1 | 2023 |
| SemiSiROC: Semi-Supervised Change Detection With Optical Imagery and an Unsupervised Teacher Model L Kondmann, S Saha, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 | 1 | 2023 |
| Sub-daily Land Surface Temperature data for urban heat monitoring from spaceenhanced by machine learning C Mollière, L Kondmann, J Gottfriedsen, M Langer EGU24, 2024 | | 2024 |
| Deep Learning for Time-Series Analysis of Optical Satellite Imagery L Kondmann Technical University Munich, 2023 | | 2023 |
| Comparative Analysis of Nitrogen Dioxide (NO2) Levels in Munich Using Sentinel-5P Atmospheric Products and Ground-Based Measurements A Pregel-Hoderlein, L Kondmann, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
| DynamicEarthNet-Referenzdatensätze für die Zeitreihenanalyse von Satellitenbildern L Kondmann | | 2021 |
| EGU23-2843| ECS| PICO| ESSI1. L Kondmann, C Senaras, YM Asano, AS Rana, A Wania, XX Zhu | | |
Xiao Xiang ZhuTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de
