Determining areas affected by forest succession is one of the main tasks aimed at shaping rural areas. Effective determination of the parameters of the dynamics of forest succession in areas used for agriculture is the basis for understanding the phenomenon of land cultivation abandonment. Understanding it allows to implement a proper policy limiting the negative effects of giving up agricultural production. There are many methods to determine forested areas. The most popular group of the methods includes those that rely on the use of LiDAR data. LiDAR data are processed to build the Canopy Height Model. The use of the data from aerial laser scanning (ALS) enables obtaining information on the area of afforestation as well as parameters of individual trees, such as their height or surface area. The use of different methods of acquiring the Canopy Height Model affects the obtained results of environmental analyses. The article is an analysis of methods allowing to determine the parameters of the dynamics of forest succession in areas used for agriculture. High accuracy aerial laser scanning (ALS) data as well as cadastral databases were used. The research area was located in Southern Poland, where the phenomenon of land abandonment occurs with high intensity. The obtained results allowed to draw conclusions useful during the construction of the Canopy Height Model. They are helpful when determining the parameters of the dynamics of forest succession and allow to develop the Canopy Height Model methodology including parameters related to the location of the research.
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The Latvia University of Agriculture (LLU) Strategic Development Plan 2010-2016, was developed during 2009 and approved by the LLU Senate on June 10, 2009.
In order to perform its functions and implement its goals and objectives, the Latvia University of Agriculture has developed three activity programs:
3. Administrative and financial support for studies and research work