| From Google Maps to a fine-grained catalog of street trees S Branson, JD Wegner, D Hall, N Lang, K Schindler, P Perona ISPRS Journal of Photogrammetry and Remote Sensing 135, 13-30, 2018 | 101 | 2018 |
| Country-wide high-resolution vegetation height mapping with Sentinel-2 N Lang, K Schindler, JD Wegner Remote Sensing of Environment 233, 111347, 2019 | 92 | 2019 |
| Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles N Lang, N Kalischek, J Armston, K Schindler, R Dubayah, JD Wegner Remote sensing of environment 268, 112760, 2022 | 65* | 2022 |
| Geocoding of trees from street addresses and street-level images D Laumer, N Lang, N van Doorn, O Mac Aodha, P Perona, JD Wegner ISPRS Journal of Photogrammetry and Remote Sensing 162, 125-136, 2020 | 29 | 2020 |
| A high-resolution canopy height model of the Earth N Lang, W Jetz, K Schindler, JD Wegner arXiv preprint arXiv:2204.08322, 2022 | 23 | 2022 |
| Defoliation estimation of forest trees from ground-level images U Kälin, N Lang, C Hug, A Gessler, JD Wegner Remote Sensing of Environment 223, 143-153, 2019 | 20 | 2019 |
| GRAINet: mapping grain size distributions in river beds from UAV images with convolutional neural networks N Lang, A Irniger, A Rozniak, R Hunziker, JD Wegner, K Schindler Hydrology and Earth System Sciences 25 (5), 2567-2597, 2021 | 18 | 2021 |
| High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR N Lang, K Schindler, JD Wegner arXiv preprint arXiv:2107.07431, 2021 | 8 | 2021 |
| A High-Resolution Canopy Height Model of the Earth. arXiv 2022 N Lang, W Jetz, K Schindler, JD Wegner arXiv preprint arXiv:2204.08322, 0 | 6 | |
| Learning geometric soft constraints for multi-view instance matching across street-level panoramas AS Nassar, N Lang, S Lefevre, JD Wegner 2019 Joint Urban Remote Sensing Event (JURSE), 1-4, 2019 | 5 | 2019 |
| Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles A Becker, S Russo, S Puliti, N Lang, K Schindler, JD Wegner arXiv preprint arXiv:2111.13154, 2021 | 4 | 2021 |
| Satellite-based high-resolution maps of cocoa planted area for C\^ ote d'Ivoire and Ghana N Kalischek, N Lang, C Renier, RC Daudt, T Addoah, W Thompson, ... arXiv preprint arXiv:2206.06119, 2022 | 2 | 2022 |
| Country-wide retrieval of forest structure from optical and SAR satellite imagery with deep ensembles A Becker, S Russo, S Puliti, N Lang, K Schindler, JD Wegner ISPRS Journal of Photogrammetry and Remote Sensing 195, 269-286, 2023 | 1 | 2023 |
| Satellite-based high-resolution maps of cocoa for Côte d'Ivoire and Ghana N Kalischek, N Lang, C Renier, RC Daudt, T Addoah, W Thompson, ... Nature Food, 2022 | 1 | 2022 |
| The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe S Liu, M Brandt, T Nord-Larsen, J Chave, F Reiner, N Lang, X Tong, ... | | 2023 |
| Annual vegetation height maps based on Sentinel-2 data-Potential applications for the Swiss National Forest Inventory M Rüetschi, Y Jiang, N Lang, A Becker, LT Waser, M Marty, K Schindler, ... ESA Living Planet Symposium 2022 (LPS 2022), 2022 | | 2022 |
| Towards traceable, transparent and sustainable cocoa farming in Côte d’Ivoire and Ghana using publicly available satellite imagery and deep learning N Kalischek, N Lang, RC Daudt, T Addoah, W Thompson, WJ Blaser-Hart, ... ESA Living Planet Symposium 2022 (LPS 2022), 2022 | | 2022 |
| GRAINet: Automatische Kornverteilungsanalysen aus Drohnen-Bildern mit CNNs A Irniger, A Rozniak, N Lang, JD Wegner, K Schindler Wasserbau-Symposium 2021. Wasserbau in Zeiten von Energiewende …, 2021 | | 2021 |
| Geocoding of trees from street addresses and street-level images OM Aodha, D Laumer, N Lang, N van Doorn, O Mac Aodha, P Perona, ... | | 2020 |
| Mapping Vegetation Height from Multispectral Sentinel-2 Images at Country Scale using Deep Learning N Lang, JD Wegner, K Schindler ESA Living Planet Symposium 2019 (LPS 2019), 2019 | | 2019 |
Jan Dirk WegnerProfessor at University of ZurichVerified email at uzh.ch
