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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
Multiscale very high resolution topographic models in alpine ecology: pros and cons of airborne LiDAR and drone-based stereo-photogrammetry technologies
Guillaume, A. S., Leempoel, K., Rochat, E., Rogivue, A., Kasser, M., Gugerli, F., … Joost, S. (2021). Multiscale very high resolution topographic models in alpine ecology: pros and cons of airborne LiDAR and drone-based stereo-photogrammetry technologies. Remote Sensing, 13(8), 1588 (18 pp.). https://doi.org/10.3390/rs13081588
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
Reversed surface-mass-balance gradients on Himalayan debris-covered glaciers inferred from remote sensing
Bisset, R. R., Dehecq, A., Goldberg, D. N., Huss, M., Bingham, R. G., & Gourmelen, N. (2020). Reversed surface-mass-balance gradients on Himalayan debris-covered glaciers inferred from remote sensing. Remote Sensing, 12(10), 1563 (19 pp.). https://doi.org/10.3390/rs12101563
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
60 years of glacier elevation and mass changes in the Maipo River Basin, central Andes of Chile
Farías-Barahona, D., Ayala, Á., Bravo, C., Vivero, S., Seehaus, T., Vijay, S., … Braun, M. H. (2020). 60 years of glacier elevation and mass changes in the Maipo River Basin, central Andes of Chile. Remote Sensing, 12(10), 1658 (19 pp.). https://doi.org/10.3390/rs12101658
Portable L-band radiometer (PoLRa): design and characterization
Houtz, D., Naderpour, R., & Schwank, M. (2020). Portable L-band radiometer (PoLRa): design and characterization. Remote Sensing, 12(17), 2780 (15 pp.). https://doi.org/10.3390/rs12172780
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
Monitoring vegetation change in the presence of high cloud cover with Sentinel-2 in a lowland tropical forest region in Brazil
Nazarova, T., Martin, P., & Giuliani, G. (2020). Monitoring vegetation change in the presence of high cloud cover with Sentinel-2 in a lowland tropical forest region in Brazil. Remote Sensing, 12(11), 1829 (20 pp.). https://doi.org/10.3390/rs12111829
Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements
Yang, W., Zhao, C., Westoby, M., Yao, T., Wang, Y., Pellicciotti, F., … Miles, E. (2020). Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. Remote Sensing, 12(15), 2389 (16 pp.). https://doi.org/10.3390/RS12152389
Monitoring of snow cover ablation using very high spatial resolution remote sensing datasets
Eker, R., Bühler, Y., Schlögl, S., Stoffel, A., & Aydın, A. (2019). Monitoring of snow cover ablation using very high spatial resolution remote sensing datasets. Remote Sensing, 11(6), 699 (20 pp.). https://doi.org/10.3390/rs11060699
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
Predicting selected forest stand characteristics with multispectral ALS data
Dalponte, M., Ene, L. T., Gobakken, T., Næsset, E., & Gianelle, D. (2018). Predicting selected forest stand characteristics with multispectral ALS data. Remote Sensing, 10(4), 586 (15 pp.). https://doi.org/10.3390/rs10040586
Constrained spectral clustering of individual trees in dense forest using terrestrial laser scanning data
Heinzel, J., & Huber, M. (2018). Constrained spectral clustering of individual trees in dense forest using terrestrial laser scanning data. Remote Sensing, 10(7), 1056 (21 pp.). https://doi.org/10.3390/rs10071056
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