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EN
Land use/land cover (LULC) maps are important datasets in various environmental projects. Our aim was to demonstrate how GEOBIA framework can be used for integrating different data sources and classification methods in context of LULC mapping.We presented multi-stage semi-automated GEOBIA classification workflow created for LULC mapping of Tuszyma Forestry Management area based on multi-source, multi-temporal and multi-resolution input data, such as 4 bands- aerial orthophoto, LiDAR-derived nDSM, Sentinel-2 multispectral satellite images and ancillary vector data. Various classification methods were applied, i.e. rule-based and Random Forest supervised classification. This approach allowed us to focus on classification of each class ‘individually’ by taking advantage from all useful information from various input data, expert knowledge, and advanced machine-learning tools. In the first step, twelve classes were assigned in two-steps rule-based classification approach either vector-based, ortho- and vector-based or orthoand Lidar-based. Then, supervised classification was performed with use of Random Forest algorithm. Three agriculture-related LULC classes with vegetation alternating conditions were assigned based on aerial orthophoto and Sentinel-2 information. For classification of 15 LULC classes we obtained 81.3% overall accuracy and kappa coefficient of 0.78. The visual evaluation and class coverage comparison showed that the generated LULC layer differs from the existing land cover maps especially in relative cover of agriculture-related classes. Generally, the created map can be considered as superior to the existing data in terms of the level of details and correspondence to actual environmental and vegetation conditions that can be observed in RS images.
EN
When designing various applications for forest numerical maps to be used in the forest districts offices of State Forests, it is important to take into consideration preferences of workers performing different functions in these offices. In order to gather information regarding the ways forest maps are used by various persons employed in forest district offices, a survey method was applied. In 2003, questionnaires comprising questions associated with the utilisation of 23 analogue maps were sent to all forest district offices in Poland. Replies in the form of filled questionnaires were received from 1813 persons from 183 forest district offices. The obtained information was fed into the computer data base and appropriate analyses were conducted to determine the profile of map users employed at different posts in the forest district offices. The majority of persons declared that maps of stands are used most frequently (Table 1). Apart from this map, the following four other types of maps were used: the economic-survey map of stands of the forest district range, the economic map, the economic-survey map of planned tending cuts in the forest district range and the territorial map of the range of activities of the given forest district range. The performed analyses allowed the authors to elaborate characteristics of individual users of forest maps. The prepared characteristics referred to the following 7 posts from forest district offices: head forester, deputy head forester, supervising engineer, specialist, forester, deputy forester, and forest guard (Table 2). The greatest number of questionnaires were submitted by foresters, specialists and deputy foresters. On the other hand, head foresters and their deputies and then supervising engineers used the greatest number of maps. The results of the analyses of ways of map utilisation are presented in Tables 3-9. The performed analyses revealed that the scope and method of map utilisation depend, to a considerable extent, on the position occupied by the user. Differences between individual users are very distinct and this fact should be taken into consideration in development of appropriate applications used in forest spatial information systems.
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