The influence of tree transmissivity variations in winter on satellite snow parameter observations

References

• Chang, A. T. C., J. L. Foster, and D. K. Hall. 1996. “Effects of Forest on the Snow Parameters Derived from Microwave Measurements During the BOREAS Winter Field Campaign.” Hydrological Processes 10 (12): 1565–1574.
   Web of Science ®Google Scholar
• Cohen, Juval, Juha Lemmetyinen, Jouni Pulliainen, Kirsikka Heinila, Francesco Montomoli, Jaakko Seppanen, and Martti T. Hallikainen. 2015. “The Effect of Boreal Forest Canopy in Satellite Snow Mapping-A Multisensor Analysis.” IEEE Transactions on Geoscience and Remote Sensing 53 (12): 6593–6607.
   Web of Science ®Google Scholar
• Derksen, Chris. 2008. “The Contribution of AMSR-E 18.7 and 10.7 GHz Measurements to Improved Boreal Forest Snow Water Equivalent Retrievals.” Remote Sensing of Environment 112 (5): 2701–2710.
   Web of Science ®Google Scholar
• Foster, James L., Chaojiao Sun, Jeffrey P. Walker, Richard Kelly, Alfred Chang, Jiarui Dong, and Hugh Powell. 2005. “Quantifying the Uncertainty in Passive Microwave Snow Water Equivalent Observations.” Remote Sensing of Environment 94 (2): 187–203.
   Web of Science ®Google Scholar
• Holdridge, L. R. 1967. Life Zone Ecology. San José. Costa Rica: Tropical Science Center.
   Google Scholar
• Jackson, T. J., and T. J. Schmugge. 1991. “Vegetation Effects on the Microwave Emission of Soils.” Remote Sensing of Environment 36 (3): 203–212.
   Web of Science ®Google Scholar
• Kelly, Richard E. 2009. “The AMSR-E Snow Depth Algorithm: Description and Initial Results.” Journal of the Remote Sensing Society of Japan 29 (1): 307–317.
   Google Scholar
• Kelly, Richard E., Alfred T. Chang, Leung Tsang, and James L. Foster. 2003. “A Prototype AMSR-E Global Snow Area and Snow Depth Algorithm.” IEEE Transactions on Geoscience and Remote Sensing 41 (2): 230–242.
   Web of Science ®Google Scholar
• Kelly, Richard E., Qinghuan Li, and Nastaran Saberi. 2019. “The AMSR2 Satellite-Based Microwave Snow Algorithm (SMSA): A New Algorithm for Estimating Global Snow Accumulation.” In International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/https://doi.org/10.1109/IGARSS.2019.8898525.
   Google Scholar
• Kou, Xiaokang, Linna Chai, Lingmei Jiang, Shaojie Zhao, and Shuang Yan. 2015. “Modeling of the Permittivity of Holly Leaves in Frozen Environments.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/TGRS.2015.2431495.
   Google Scholar
• Kruopis, Nerijus. 1999. “Passive Microwave Measurements of Snow-Covered Forest Areas in Em Ac’95.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/36.803417.
   Google Scholar
• Langlois, Alexandre, Alain Royer, Florent Dupont, Alexandre Roy, Kalifa Goita, and G. Picard. 2011. “Improved Corrections of Forest Effects on Passive Microwave Satellite Remote Sensing of Snow Over Boreal and Subarctic Regions.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/TGRS.2011.2138145.
   Google Scholar
• Larue, Fanny, Alain Royer, Danielle De Sève, Alexandre Langlois, Alexandre Roy, and Ludovic Brucker. 2017. “Validation of GlobSnow-2 Snow Water Equivalent Over Eastern Canada.” Remote Sensing of Environment. doi:https://doi.org/10.1016/j.rse.2017.03.027.
   Google Scholar
• Lemmetyinen, J., A. Kontu, L. Leppänen, J. Vehviläinen, R. Vehmas, Qinghuan Li, K. Rautiainen, and J. Pulliainen. 2018.. “Season -Length Observations of Active and Passive Microwave Signatures of Snow Cover in a Boreal Forest Environment.” In International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2018-July. https://doi.org/https://doi.org/10.1109/IGARSS.2018.8517328.
   Google Scholar
• Lemmetyinen, Juha, Anna Kontu, Jouni Pulliainen, Juho Vehviläinen, Kimmo Rautiainen, Andreas Wiesmann, Christian Mätzler, et al. 2016. “Nordic Snow Radar Experiment.” Geoscientific Instrumentation, Methods and Data Systems. doi:https://doi.org/10.5194/gi-5-403-2016.
   Google Scholar
• Li, Qinghuan. 2020b. “The Influence of Winter Time Boreal Forest Tree Transmissivity on Tree Emission and Passive Microwave Snow Observations.” Doctoral Dissertation, Waterloo, ON: University of Waterloo.
   Google Scholar
• Li, Qinghuan, and R. E. J. Kelly. 2017. “Correcting Satellite Passive Microwave Brightness Temperatures in Forested Landscapes Using Satellite Visible Reflectance Estimates of Forest Transmissivity.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (9). doi:https://doi.org/10.1109/JSTARS.2017.2707545.
   Google Scholar
• Li, Qinghuan, R. E. J. Kelly, J. Lemmetyinen, and J. Pan. 2020a. “Simulating the Influence of Temperature on Microwave Transmissivity of Trees During Winter Observed by Spaceborne Microwave Radiometery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi:https://doi.org/10.1109/JSTARS.2020.3017618.
   Google Scholar
• Li, Qinghuan, R. E. J. Kelly, L. Leppanen, J. Vehvilainen, A. Kontu, J. Lemmetyinen, and J. Pulliainen. 2019. “The Influence of Thermal Properties and Canopy-Intercepted Snow on Passive Microwave Transmissivity of a Scots Pine.” IEEE Transactions on Geoscience and Remote Sensing 57 (8). doi:https://doi.org/10.1109/TGRS.2019.2899345.
   Google Scholar
• Löfman, Satu, and Jari Kouki. 2003. “Scale and Dynamics of a Transforming Forest Landscape.” Forest Ecology and Management. doi:https://doi.org/10.1016/S0378-1127(02)00133-0.
   Google Scholar
• López-Serrano, F. R., A. García-Morote, M. Andrés-Abellán, A. Tendero, and A. Del Cerro. 2005. “Site and Weather Effects in Allometries: A Simple Approach to Climate Change Effect on Pines.” Forest Ecology and Management. doi:https://doi.org/10.1016/j.foreco.2005.05.014.
   Google Scholar
• Luojus, K., J. Pulliainen, M. Takala, et al. 2013. GlobSnow-2 Product User Guide Version 1.0. Paris: European space agency.
   Google Scholar
• Maeda, Takashi, Yuji Taniguchi, and Keiji Imaoka. 2016. “GCOM-W1 AMSR2 Level 1R Product: Dataset of Brightness Temperature Modified Using the Antenna Pattern Matching Technique.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/TGRS.2015.2465170.
   Google Scholar
• Mätzler, C. 1994. “Microwave Transmissivity of a Forest Canopy: Experiments made with a Beech.” Remote Sensing of Environment 48 (2): 172–180.
   Web of Science ®Google Scholar
• Njoku, Eni G., and Dara Entekhabi. 1996. “Passive Microwave Remote Sensing of Soil Moisture.” Journal of Hydrology. doi:https://doi.org/10.1016/0022-1694(95)02970-2.
   Google Scholar
• Okuyama, Arata, and Keiji Imaoka. 2015. “Intercalibration of Advanced Microwave Scanning Radiometer-2 (AMSR2) Brightness Temperature.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/TGRS.2015.2402204.
   Google Scholar
• Pan, Yude, Richard A. Birdsey, Oliver L. Phillips, and Robert B. Jackson. 2013. “The Structure, Distribution, and Biomass of the World’s Forests.” Annual Review of Ecology, Evolution, and Systematics. doi:https://doi.org/10.1146/annurev-ecolsys-110512-135914.
   Google Scholar
• Pan, Jinmei, Michael Durand, Melody Sandells, Juha Lemmetyinen, Edward J. Kim, Jouni Pulliainen, Anna Kontu, and Chris Derksen. 2016. “Differences Between the HUT Snow Emission Model and MEMLS and Their Effects on Brightness Temperature Simulation.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/TGRS.2015.2493505.
   Google Scholar
• Picard, G., L. Brucker, A. Roy, F. Dupont, M. Fily, A. Royer, and C. Harlow. 2013. “Simulation of the Microwave Emission of Multi-Layered Snowpacks Using the Dense Media Radiative Transfer Theory: The DMRT-ML Model.” Geoscientific Model Development. doi:https://doi.org/10.5194/gmd-6-1061-2013.
   Google Scholar
• Pulliainen, Jouni T., and Jochen Grandeil. 1999. “HUT Snow Emission Model and Its Applicability to Snow Water Equivalent Retrieval.” IEEE Transactions on Geoscience and Remote Sensing. doi:https://doi.org/10.1109/36.763302.
   Google Scholar
• Roy, Alexandre, Alain Royer, Jean Pierre Wigneron, Alexandre Langlois, Jean Bergeron, and Patrick Cliche. 2012. “A Simple Parameterization for a Boreal Forest Radiative Transfer Model at Microwave Frequencies.” Remote Sensing of Environment. doi:https://doi.org/10.1016/j.rse.2012.05.020.
   Google Scholar
• Saberi, Nastaran, Richard Kelly, Peter Toose, Alexandre Roy, and Chris Derksen. 2017. “Modeling the Observed Microwave Emission from Shallow Multi-Layer Tundra Snow Using DMRT-ML.” Remote Sensing. doi:https://doi.org/10.3390/rs9121327.
   Google Scholar
• Shugart, H. H., S. Saatchi, and F. G. Hall. 2010. “Importance of Structure and Its Measurement in Quantifying Function of Forest Ecosystems.” Journal of Geophysical Research: Biogeosciences. doi:https://doi.org/10.1029/2009JG000993.
   Google Scholar
• Sitch, Stephan, C. Huntingford, N. Gedney, P. E. Levy, M. Lomas, S. L. Piao, R. Betts, et al. 2008. “Evaluation of the Terrestrial Carbon Cycle, Future Plant Geography and Climate-Carbon Cycle Feedbacks Using Five Dynamic Global Vegetation Models (DGVMs).” Global Change Biology. doi:https://doi.org/10.1111/j.1365-2486.2008.01626.x.
   Google Scholar
• Smith, Thomas M., and Dean L. Urban. 1988. “Scale and Resolution of Forest Structural Pattern.” Vegetatio. doi:https://doi.org/10.1007/BF00044739.
   Google Scholar
• Takala, Matias, Kari Luojus, Jouni Pulliainen, Chris Derksen, Juha Lemmetyinen, Juha Petri Kärnä, Jarkko Koskinen, and Bojan Bojkov. 2011. “Estimating Northern Hemisphere Snow Water Equivalent for Climate Research Through Assimilation of Space-Borne Radiometer Data and Ground-Based Measurements.” Remote Sensing of Environment. doi:https://doi.org/10.1016/j.rse.2011.08.014.
   Google Scholar
• Tedesco, Marco, and Jeyavinoth Jeyaratnam. 2016. “A New Operational Snow Retrieval Algorithm Applied to Historical AMSR-E Brightness Temperatures.” Remote Sensing. doi:https://doi.org/10.3390/rs8121037.
   Google Scholar
• Tomppo, E., M. Katila, K. Mäkisara, and J. Peräsaari. 2011. The Multi-Source National Forest Inventory of Finland — Methods and Results 2011. Vantaa: Finnish Forest Res. Inst.
   Google Scholar
• Tsang, L., Jin Pan, Ding Liang, Zhongxin Li, and Don Cline. 2006. “Modeling Active Microwave Remote Sensing of Snow Using Dense Media Radiative Transfer (DMRT) Theory with Multiple Scattering Effects.” In International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/https://doi.org/10.1109/IGARSS.2006.127.
   Google Scholar
• Wang, Xiangping, Jingyun Fang, Zhiyao Tang, and Biao Zhu. 2006. “Climatic Control of Primary Forest Structure and DBH–Height Allometry in Northeast China.” Forest Ecology and Management 234 (1-3): 264–274.
   Web of Science ®Google Scholar
• Wiesmann, Andreas, and Christian Mätzler. 1999. “Microwave Emission Model of Layered Snowpacks.” Remote Sensing of Environment. doi:https://doi.org/10.1016/S0034-4257(99)00046-2.
   Google Scholar
• Xue, Yuan, and Barton A. Forman. 2015. “Comparison of Passive Microwave Brightness Temperature Prediction Sensitivities Over Snow-Covered Land in North America Using Machine Learning Algorithms and the Advanced Microwave Scanning Radiometer.” Remote Sensing of Environment. doi:https://doi.org/10.1016/j.rse.2015.09.009.
   Google Scholar
• Zhao, Tianjie, Lixin Zhang, Lingmei Jiang, Shaojie Zhao, Linna Chai, and Rui Jin. 2011. “A new Soil Freeze/Thaw Discriminant Algorithm Using AMSR-E Passive Microwave Imagery.” Hydrological Processes 25 (11): 1704–1716.
   Web of Science ®Google Scholar