Showing items with similar title or keywords.

• Modeling Forest Tree Data Using Sequential Spatial Point Processes 

  Yazigi, Adil; Penttinen, Antti; Ylitalo, Anna-Kaisa; Maltamo, Matti; Packalen, Petteri; Mehtätalo, Lauri (Springer, 2022)

  The spatial structure of a forest stand is typically modeled by spatial point process models. Motivated by aerial forest inventories and forest dynamics in general, we propose a sequential spatial approach for modeling ...

• Hierarchical log Gaussian Cox process for regeneration in uneven-aged forests 

  Kuronen, Mikko; Särkkä, Aila; Vihola, Matti; Myllymäki, Mari (Springer Science and Business Media LLC, 2022)

  We propose a hierarchical log Gaussian Cox process (LGCP) for point patterns, where a set of points xx affects another set of points yy but not vice versa. We use the model to investigate the effect of large trees on the ...

• Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests 

  Bont, Leo Gallus; Hill, Andreas; Waser, Lars T.; Bürgi, Anton; Ginzler, Christian; Blattert, Clemens (Elsevier, 2020)

  Managing forests for ecosystem services and biodiversity requires accurate and spatially explicit forest inventory data. A major objective of forest management inventories is to estimate the standing timber volume for ...

• Tree species classification of drone hyperspectral and RGB imagery with deep learning convolutional neural networks 

  Nezami, Somayeh; Khoramshahi, Ehsan; Nevalainen, Olli; Pölönen, Ilkka; Honkavaara, Eija (MDPI AG, 2020)

  Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include ...

• Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion 

  Annala, Leevi; Honkavaara, Eija; Tuominen, Sakari; Pölönen, Ilkka (MDPI AG, 2020)

  Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based ...