| Determining Riverine Surface Roughness at Fluvial Mesohabitat Level and Its Influence on UAV-Based Thermal Imaging Accuracy
Kuhn, J., Pander, J., Habersetzer, L., Casas-Mulet, R., & Geist, J. (2024). Determining Riverine Surface Roughness at Fluvial Mesohabitat Level and Its Influence on UAV-Based Thermal Imaging Accuracy. Remote Sensing, 16(10), 1674 (13 pp.). https://doi.org/10.3390/rs16101674 |
| Attributing the impacts of vegetation and climate changes on the spatial heterogeneity of terrestrial water storage over the Tibetan Plateau
Han, Y., Zuo, D., Xu, Z., Wang, G., Peng, D., Pang, B., & Yang, H. (2023). Attributing the impacts of vegetation and climate changes on the spatial heterogeneity of terrestrial water storage over the Tibetan Plateau. Remote Sensing, 15(1), 117 (22 pp.). https://doi.org/10.3390/rs15010117 |
| Remote sensing to characterize river floodplain structure and function
Hauer, F. R., Lorang, M. S., & Gonser, T. (2022). Remote sensing to characterize river floodplain structure and function. Remote Sensing, 14(5), 1132 (22 pp.). https://doi.org/10.3390/rs14051132 |
| Long-term spatiotemporal variability of whitings in Lake Geneva from multispectral remote sensing and machine learning
Many, G., Escoffier, N., Ferrari, M., Jacquet, P., Odermatt, D., Mariethoz, G., … Perga, M. E. (2022). Long-term spatiotemporal variability of whitings in Lake Geneva from multispectral remote sensing and machine learning. Remote Sensing, 14(23), 6175 (20 pp.). https://doi.org/10.3390/rs14236175 |
| A first assessment of the 2018 European drought impact on ecosystem evapotranspiration
Ahmed, K. R., Paul-Limoges, E., Rascher, U., & Damm, A. (2021). A first assessment of the 2018 European drought impact on ecosystem evapotranspiration. Remote Sensing, 13(1), 16 (16 pp.). https://doi.org/10.3390/rs13010016 |
| Integrating inland and coastal water quality data for actionable knowledge
El Serafy, G. Y. H., Schaeffer, B. A., Neely, M. B., Spinosa, A., Odermatt, D., Weathers, K. C., … Tzortziou, M. (2021). Integrating inland and coastal water quality data for actionable knowledge. Remote Sensing, 13(15), 2899 (24 pp.). https://doi.org/10.3390/rs13152899 |
| Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets
Chen, H., Zeng, Z., Wu, J., Peng, L., Lakshmi, V., Yang, H., & Liu, J. (2020). Large uncertainty on forest area change in the early 21st century among widely used global land cover datasets. Remote Sensing, 12(21), 3502 (18 pp.). https://doi.org/10.3390/rs12213502 |
| Sun-induced chlorophyll fluorescence II: review of passive measurement setups, protocols, and their application at the leaf to canopy level
Aasen, H., Van Wittenberghe, S., Sabater Medina, N., Damm, A., Goulas, Y., Wieneke, S., … Mac Arthur, A. (2019). Sun-induced chlorophyll fluorescence II: review of passive measurement setups, protocols, and their application at the leaf to canopy level. Remote Sensing, 11(8), 927 (33 pp.). https://doi.org/10.3390/rs11080927 |
| Hyplant-derived Sun-Induced Fluorescence—a new opportunity to disentangle complex vegetation signals from diverse vegetation types
Bandopadhyay, S., Rastogi, A., Rascher, U., Rademske, P., Schickling, A., Cogliati, S., … Juszczak, R. (2019). Hyplant-derived Sun-Induced Fluorescence—a new opportunity to disentangle complex vegetation signals from diverse vegetation types. Remote Sensing, 11(14), 1691 (26 pp.). https://doi.org/10.3390/rs11141691 |
| Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing
Cendrero-Mateo, M. P., Wieneke, S., Damm, A., Alonso, L., Pinto, F., Moreno, J., … Mac Arthur, A. (2019). Sun-induced chlorophyll fluorescence III: benchmarking retrieval methods and sensor characteristics for proximal sensing. Remote Sensing, 11(8), 962 (28 pp.). https://doi.org/10.3390/rs11080962 |
| Recent progress and developments in imaging spectroscopy
Kneubühler, M., & Damm-Reiser, A. (2018). Recent progress and developments in imaging spectroscopy. Remote Sensing, 10(9), 1497 (4 pp.). https://doi.org/10.3390/rs10091497 |
| Sewer inlet localization in UAV image clouds: improving performance with multiview detection
Moy de Vitry, M., Schindler, K., Rieckermann, J., & Leitão, J. P. (2018). Sewer inlet localization in UAV image clouds: improving performance with multiview detection. Remote Sensing, 10(5), 706 (18 pp.). https://doi.org/10.3390/rs10050706 |
| Assessment of satellite-derived precipitation products for the Beijing region
Ren, M., Xu, Z., Pang, B., Liu, W., Liu, J., Du, L., & Wang, R. (2018). Assessment of satellite-derived precipitation products for the Beijing region. Remote Sensing, 10(12), 1914 (19 pp.). https://doi.org/10.3390/rs10121914 |
| Retrieval of particle scattering coefficients and concentrations by genetic algorithms in stratified lake water
Pitarch, J., Odermatt, D., Kawka, M., & Wüest, A. (2014). Retrieval of particle scattering coefficients and concentrations by genetic algorithms in stratified lake water. Remote Sensing, 6(10), 9530-9551. https://doi.org/10.3390/rs6109530 |
