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Combining spectral, spatial-contextual, and structural information in multispectral UAV data for spruce crown delineation
Harikumar, A., D`Odorico, P., & Ensminger, I. (2022). Combining spectral, spatial-contextual, and structural information in multispectral UAV data for spruce crown delineation. Remote Sensing, 14(9), 2044 (19 pp.). https://doi.org/10.3390/rs14092044
Temporal variability of surface reflectance supersedes spatial resolution in defining Greenland’s bare-ice albedo
Irvine-Fynn, T. D. L., Bunting, P., Cook, J. M., Hubbard, A., Barrand, N. E., Hanna, E., … Williamson, C. J. (2022). Temporal variability of surface reflectance supersedes spatial resolution in defining Greenland’s bare-ice albedo. Remote Sensing, 14(1), 62 (22 pp.). https://doi.org/10.3390/rs14010062
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
Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro
Ziegler, A., Meyer, H., Otte, I., Peters, M. K., Appelhans, T., Behler, C., … Nauss, T. (2022). Potential of airborne LiDAR derived vegetation structure for the prediction of animal species richness at Mount Kilimanjaro. Remote Sensing, 14(3), 786 (24 pp.). https://doi.org/10.3390/rs14030786
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
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
Multi-source hydrological data products to monitor high asian river basins and regional water security
Menenti, M., Li, X., Jia, L., Yang, K., Pellicciotti, F., Mancini, M., … Paolini, G. (2021). Multi-source hydrological data products to monitor high asian river basins and regional water security. Remote Sensing, 13(24), 5122 (29 pp.). https://doi.org/10.3390/rs13245122
Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations
Ren, S., Miles, E. S., Jia, L., Menenti, M., Kneib, M., Buri, P., … Pellicciotti, F. (2021). Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations. Remote Sensing, 13(9), 1714 (28 pp.). https://doi.org/10.3390/rs13091714
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