Importance of Calibration for Improving the Efficiency of Data Assimilation for Predicting Forest Characteristics by Nils Lindgren, Kenneth Nyström, Svetlana Saarela, Håkan Olsson, Göran Ståhl

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Data Assimilation of Growing Stock Volume Using a Sequence of Remote Sensing Data from Different Sensors by Nils Lindgren, Håkan Olsson, Kenneth Nyström, Mattias Nyström, Göran Ståhl

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Improved Prediction of Forest Variables Using Data Assimilation of Interferometric Synthetic Aperture Radar Data by Nils Lindgren, Henrik J. Persson, Mattias Nyström, Kenneth Nyström, Anton Grafström, Anders Muszta, Erik Willén, Johan E. S. Fransson, Göran Ståhl, Håkan Olsson

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Data Assimilation in Forest Inventory: First Empirical Results by Mattias Nyström, Nils Lindgren, Jörgen Wallerman, Anton Grafström, Anders Muszta, Kenneth Nyström, Jonas Bohlin, Erik Willén, Johan E. S. Fransson, Sarah Ehlers, Håkan Olsson, Göran Ståhl

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Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications by Göran Ståhl, Terje Gobakken, Svetlana Saarela, Henrik J. Persson, Magnus Ekström, Sean P. Healey, Zhiqiang Yang, Johan Holmgren, Eva Lindberg, Kenneth Nyström, Emanuele Papucci, Patrik Ulvdal, Hans Ole Ørka, Erik Næsset, Zhengyang Hou, Håkan Olsson, Ronald E. McRoberts

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