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Defoliation estimation of forest trees from ground-level images
Kälin, U., Lang, N., Hug, C., Gessler, A., & Wegner, J. D. (2019). Defoliation estimation of forest trees from ground-level images. Remote Sensing of Environment, 223, 143-153. https://doi.org/10.1016/j.rse.2018.12.021
The dynamic habitat indices (DHIs) from MODIS and global biodiversity
Radeloff, V. C., Dubinin, M., Coops, N. C., Allen, A. M., Brooks, T. M., Clayton, M. K., … Hobi, M. L. (2019). The dynamic habitat indices (DHIs) from MODIS and global biodiversity. Remote Sensing of Environment, 222, 204-214. https://doi.org/10.1016/j.rse.2018.12.009
Tropical bird species richness is strongly associated with patterns of primary productivity captured by the Dynamic Habitat Indices
Suttidate, N., Hobi, M. L., Pidgeon, A. M., Round, P. D., Coops, N. C., Helmers, D. P., … Radeloff, V. C. (2019). Tropical bird species richness is strongly associated with patterns of primary productivity captured by the Dynamic Habitat Indices. Remote Sensing of Environment, 232, 111306 (10 pp.). https://doi.org/10.1016/j.rse.2019.111306
Sampling depth of L-band radiometer measurements of soil moisture and freeze-thaw dynamics on the Tibetan Plateau
Zheng, D., Li, X., Wang, X., Wang, Z., Wen, J., van der Velde, R., … Su, Z. (2019). Sampling depth of L-band radiometer measurements of soil moisture and freeze-thaw dynamics on the Tibetan Plateau. Remote Sensing of Environment, 226, 16-25. https://doi.org/10.1016/j.rse.2019.03.029
Spatio-temporal pattern of soil degradation in a Swiss Alpine grassland catchment
Zweifel, L., Meusburger, K., & Alewell, C. (2019). Spatio-temporal pattern of soil degradation in a Swiss Alpine grassland catchment. Remote Sensing of Environment, 235, 111441 (11 pp.). https://doi.org/10.1016/j.rse.2019.111441
Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory
Pisek, J., Buddenbaum, H., Camacho, F., Hill, J., Jensen, J. L. R., Lange, H., … Vuolo, F. (2018). Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory. Remote Sensing of Environment, 215, 1-6. https://doi.org/10.1016/j.rse.2018.05.026
Stereo-imagery-based post-stratification by regression-tree modelling in Swiss National Forest Inventory
Pulkkinen, M., Ginzler, C., Traub, B., & Lanz, A. (2018). Stereo-imagery-based post-stratification by regression-tree modelling in Swiss National Forest Inventory. Remote Sensing of Environment, 213, 182-194. https://doi.org/10.1016/j.rse.2018.04.052
Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland
Schmidt, S., Alewell, C., & Meusburger, K. (2018). Mapping spatio-temporal dynamics of the cover and management factor (C-factor) for grasslands in Switzerland. Remote Sensing of Environment, 211, 89-104. https://doi.org/10.1016/j.rse.2018.04.008
Influence of canopy shading and snow coverage on effective albedo in a snow-dominated evergreen needleleaf forest
Webster, C., & Jonas, T. (2018). Influence of canopy shading and snow coverage on effective albedo in a snow-dominated evergreen needleleaf forest. Remote Sensing of Environment, 214, 48-58. https://doi.org/10.1016/j.rse.2018.05.023
Three-dimensional thermal characterization of forest canopies using UAV photogrammetry
Webster, C., Westoby, M., Rutter, N., & Jonas, T. (2018). Three-dimensional thermal characterization of forest canopies using UAV photogrammetry. Remote Sensing of Environment, 209, 835-847. https://doi.org/10.1016/j.rse.2017.09.033
Impact of surface roughness, vegetation opacity and soil permittivity on L-band microwave emission and soil moisture retrieval in the third pole environment
Zheng, D., Wang, X., van der Velde, R., Ferrazzoli, P., Wen, J., Wang, Z., … Su, Z. (2018). Impact of surface roughness, vegetation opacity and soil permittivity on L-band microwave emission and soil moisture retrieval in the third pole environment. Remote Sensing of Environment, 209, 633-647. https://doi.org/10.1016/j.rse.2018.03.011
Sampling errors in satellite-derived infrared sea-surface temperatures. Part II: sensitivity and parameterization
Liu, Y., Chin, T., & Minnett, P. J. (2017). Sampling errors in satellite-derived infrared sea-surface temperatures. Part II: sensitivity and parameterization. Remote Sensing of Environment, 198, 297-309. https://doi.org/10.1016/j.rse.2017.06.011
Modelling the passive microwave signature from land surfaces: a review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms
Wigneron, J. P., Jackson, T. J., O'Neill, P., De Lannoy, G., de Rosnay, P., Walker, J. P., … Kerr, Y. (2017). Modelling the passive microwave signature from land surfaces: a review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms. Remote Sensing of Environment, 192, 238-262. https://doi.org/10.1016/j.rse.2017.01.024
A questionnaire-based review of the operational use of remotely sensed data by national forest inventories
Barrett, F., McRoberts, R. E., Tomppo, E., Cienciala, E., & Waser, L. T. (2016). A questionnaire-based review of the operational use of remotely sensed data by national forest inventories. Remote Sensing of Environment, 174, 279-289. https://doi.org/10.1016/j.rse.2015.08.029
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data
Chirici, G., Mura, M., McInerney, D., Py, N., Tomppo, E. O., Waser, L. T., … McRoberts, R. E. (2016). A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data. Remote Sensing of Environment, 176, 282-294. https://doi.org/10.1016/j.rse.2016.02.001
Review of studies on tree species classification from remotely sensed data
Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., … Ghosh, A. (2016). Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment, 186, 64-87. https://doi.org/10.1016/j.rse.2016.08.013
From field surveys to LiDAR: shining a light on how bats respond to forest structure
Froidevaux, J. S. P., Zellweger, F., Bollmann, K., Jones, G., & Obrist, M. K. (2016). From field surveys to LiDAR: shining a light on how bats respond to forest structure. Remote Sensing of Environment, 175, 242-250. https://doi.org/10.1016/j.rse.2015.12.038
Snow density and ground permittivity retrieved from L-band radiometry: application to experimental data
Lemmetyinen, J., Schwank, M., Rautiainen, K., Kontu, A., Parkkinen, T., Mätzler, C., … Pulliainen, J. (2016). Snow density and ground permittivity retrieved from L-band radiometry: application to experimental data. Remote Sensing of Environment, 180, 377-391. https://doi.org/10.1016/j.rse.2016.02.002
Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues
Pellarin, T., Mialon, A., Biron, R., Coulaud, C., Gibon, F., Kerr, Y., … Völksch, I. (2016). Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues. Remote Sensing of Environment, 180, 85-98. https://doi.org/10.1016/j.rse.2016.02.047
SMOS prototype algorithm for detecting autumn soil freezing
Rautiainen, K., Parkkinen, T., Lemmetyinen, J., Schwank, M., Wiesmann, A., Ikonen, J., … Pulliainen, J. (2016). SMOS prototype algorithm for detecting autumn soil freezing. Remote Sensing of Environment, 180, 346-360. https://doi.org/10.1016/j.rse.2016.01.012