| The habitat map of Switzerland: a remote sensing, composite approach for a high spatial and thematic resolution product
Price, B., Huber, N., Nussbaumer, A., & Ginzler, C. (2023). The habitat map of Switzerland: a remote sensing, composite approach for a high spatial and thematic resolution product. Remote Sensing, 15(3), 643 (24 pp.). https://doi.org/10.3390/rs15030643 |
| Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images
Wang, Z., Ginzler, C., Eben, B., Rehush, N., & Waser, L. T. (2022). Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images. Remote Sensing, 14(9), 2135 (22 pp.). https://doi.org/10.3390/rs14092135 |
| European wide forest classification based on Sentinel-1 data
Dostálová, A., Lang, M., Ivanovs, J., Waser, L. T., & Wagner, W. (2021). European wide forest classification based on Sentinel-1 data. Remote Sensing, 13(3), 337 (26 pp.). https://doi.org/10.3390/rs13030337 |
| Understanding the diversity of urban-rural fringe development in a fast urbanizing region of China
Li, G., CAO, Y., He, Z., He, J., Cao, Y., Wang, J., & Fang, X. (2021). Understanding the diversity of urban-rural fringe development in a fast urbanizing region of China. Remote Sensing, 13(12), 2373 (17 pp.). https://doi.org/10.3390/rs13122373 |
| Assessing the potential of the DART model to discrete return LiDAR simulation - application to fuel type mapping
Revilla, S., Lamelas, M. T., Domingo, D., de la Riva, J., Montorio, R., Montealegre, A. L., & García-Martín, A. (2021). Assessing the potential of the DART model to discrete return LiDAR simulation - application to fuel type mapping. Remote Sensing, 13(3), 342 (21 pp.). https://doi.org/10.3390/rs13030342 |
| Editorial summary,<em> remote sensing</em> special issue "Advances in remote sensing for global forest monitoring"
Tomppo, E., Wang, G., Praks, J., McRoberts, R. E., & Waser, L. T. (2021). Editorial summary, remote sensing special issue "Advances in remote sensing for global forest monitoring". Remote Sensing, 13(4), 597 (4 pp.). https://doi.org/10.3390/rs13040597 |
| Land cover classification in mangrove ecosystems based on VHR satellite data and machine learning - an upscaling approach
Bihamta Toosi, N., Reza Soffianian, A., Fakheran, S., Pourmanafi, S., Ginzler, C., & Waser, L. T. (2020). Land cover classification in mangrove ecosystems based on VHR satellite data and machine learning - an upscaling approach. Remote Sensing, 12(17), 2684 (17 pp.). https://doi.org/10.3390/rs12172684 |
| Fueltype classification using airborne laser scanning and Sentinel 2 data in Mediterranean forest affected by wildfires
Domingo, D., de la Riva, J., Lamelas, M. T., García-Martín, A., Ibarra, P., Echeverría, M., & Hoffrén, R. (2020). Fueltype classification using airborne laser scanning and Sentinel 2 data in Mediterranean forest affected by wildfires. Remote Sensing, 12(21), 3660 (22 pp.). https://doi.org/10.3390/rs12213660 |
| Quality assessment of photogrammetric methods - a workflow for reproducible UAS orthomosaics
Ludwig, M., Runge, C. M., Friess, N., Koch, T. L., Richter, S., Seyfried, S., … Nauss, T. (2020). Quality assessment of photogrammetric methods - a workflow for reproducible UAS orthomosaics. Remote Sensing, 12(22), 3831 (18 pp.). https://doi.org/10.3390/rs12223831 |
| An effective way to map land-use intensity with a high spatial resolution based on habitat type and environmental data
Meier, E. S., Indermaur, A., Ginzler, C., & Psomas, A. (2020). An effective way to map land-use intensity with a high spatial resolution based on habitat type and environmental data. Remote Sensing, 12(6), 969 (21 pp.). https://doi.org/10.3390/rs12060969 |
| A review of the application of remote sensing data for abandoned agricultural land identification with focus on Central and Eastern Europe
Goga, T., Feranec, J., Bucha, T., Rusnák, M., Sačkov, I., Barka, I., … Vladovič, J. (2019). A review of the application of remote sensing data for abandoned agricultural land identification with focus on Central and Eastern Europe. Remote Sensing, 11(23), 2759 (19 pp.). https://doi.org/10.3390/rs11232759 |
| A single-tree processing framework using terrestrial laser scanning data for detecting forest regeneration
Heinzel, J., & Ginzler, C. (2019). A single-tree processing framework using terrestrial laser scanning data for detecting forest regeneration. Remote Sensing, 11(1), 60 (20 pp.). https://doi.org/10.3390/rs11010060 |
| Rapid detection of windthrows using Sentinel-1 C-band SAR data
Rüetschi, M., Small, D., & Waser, L. T. (2019). Rapid detection of windthrows using Sentinel-1 C-band SAR data. Remote Sensing, 11(2), 115 (23 pp.). https://doi.org/10.3390/rs11020115 |
| Regional scale mapping of grassland mowing frequency with Sentinel-2 time series
Kolecka, N., Ginzler, C., Pazur, R., Price, B., & Verburg, P. H. (2018). Regional scale mapping of grassland mowing frequency with Sentinel-2 time series. Remote Sensing, 10(8), 1221 (19 pp.). https://doi.org/10.3390/rs10081221 |
| Impact of the acquisition geometry of very high-resolution Pléiades imagery on the accuracy of canopy height models over forested alpine regions
Piermattei, L., Marty, M., Karel, W., Ressl, C., Hollaus, M., Ginzler, C., & Pfeifer, N. (2018). Impact of the acquisition geometry of very high-resolution Pléiades imagery on the accuracy of canopy height models over forested alpine regions. Remote Sensing, 10(10), 1542 (22 pp.). https://doi.org/10.3390/rs10101542 |
| Identifying tree-related microhabitats in TLS point clouds using machine learning
Rehush, N., Abegg, M., Waser, L. T., & Brändli, U. B. (2018). Identifying tree-related microhabitats in TLS point clouds using machine learning. Remote Sensing, 10(11), 1735 (23 pp.). https://doi.org/10.3390/rs10111735 |
| A geographically weighted regression analysis of the underlying factors related to the Surface Urban Heat Island phenomenon
Zhao, C., Jensen, J., Weng, Q., & Weaver, R. (2018). A geographically weighted regression analysis of the underlying factors related to the Surface Urban Heat Island phenomenon. Remote Sensing, 10(9), 1428 (18 pp.). https://doi.org/10.3390/rs10091428 |
| Accuracy assessment of digital surface models from unmanned aerial vehicles' imagery on glaciers
Gindraux, S., Boesch, R., & Farinotti, D. (2017). Accuracy assessment of digital surface models from unmanned aerial vehicles' imagery on glaciers. Remote Sensing, 9(2), 186 (15 pp.). https://doi.org/10.3390/rs9020186 |
| Phenology plays an important role in the regulation of terrestrial ecosystem water-use efficiency in the Northern Hemisphere
Jin, J., Wang, Y., Zhang, Z., Magliulo, V., Jiang, H., & Cheng, M. (2017). Phenology plays an important role in the regulation of terrestrial ecosystem water-use efficiency in the Northern Hemisphere. Remote Sensing, 9(7), 664 (15 pp.). https://doi.org/10.3390/rs9070664 |
| Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys
Waser, L. T., Ginzler, C., & Rehush, N. (2017). Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys. Remote Sensing, 9(8), 766 (24 pp.). https://doi.org/10.3390/rs9080766 |