48 research outputs found

    Remote sensing for studying forest regions

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    Wsp贸艂czesne teledetekcyjne metody inwentaryzacji stanu lasu po huraganie

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    Forest areas suffering acute damage from wind storms can be successfully monitored by applying remote sensing techniques using special panchromatic aerial photography and available traditional colour satellite imagery with a terrestrial resolution not less than 5 m. Orthophotomaps and satellite images collected for the needs of the IACS system provide important information about forest damage caused by heavy storms. It is essential to create spatial information system for the efficient collection, processing and access to spatial environment and forest鈭抮elated information about areas affected by the disaster

    Integration of orthophotomap, digital terrain model and vector layers of forest digital map

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    Different GIS data and products are created for forest districts. Among other are orthophotomaps and digital terrain model data, which may be used in forestry independently or in integrated forms. Geomatics offers software for data integration in the form of 3D visualization on the computer screen. 3D visualization contains information that allows using it for forest education, forest management and in public relation for purposes of the State Forests National Forest Holding. The paper discuses features of 3D visualization of integrated geomatics data, which are orthophotomaps, digital terrain model data and vector layers

    Image maps of the protective forests in the forest district Pisz

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    Geneza wy艂膮czenia las贸w ochronnych w Nadle艣nictwie Pisz, zwi膮zana jest z postulowan膮 przez 艣rodowiska naukowe potrzeb膮 obserwacji naturalnych proces贸w restytucji, na obszarach zniszczonych huraganem w dniu 4 lipca 2002 r. Podstaw膮 prawn膮 powo艂ania las贸w ochronnych jest decyzja Ministra 艢rodowiska DL.lp.-0233-JJ-17/03 z dnia 10 czerwca 2003 r. Obszar uznany za lasy ochronne zajmuje powierzchni臋 oko艂o 450 ha i b臋dzie przedmiotem bada艅 naukowych oraz obiektem edukacji przyrodniczo-le艣nej spo艂ecze艅stwa. Zmienno艣膰 przestrzenna uszkodze艅 pohuraganowych i wielko艣膰 obszaru wy艂膮czonych las贸w ochronnych, sugeruj膮 wykorzystanie map obrazowych, tworzonych ze zdj臋膰 lotniczych i obraz贸w satelitarnych jako 藕r贸d艂a informacji monitoringowych o zniszczonych lasach, oraz specyficznego materia艂u edukacyjnego.The purpose of establishing of the new protective forests in the Forest District Pisz is the preservation for research and education needs, of selected areas of the forests, damaged by heavy storm occurred 4th Aug. 2000 in the N-E part of Poland. As a source of the spatial information for monitoring the spontaneous regeneration of the damaged forest and for the forest education of the society, image maps, prepared from different kinds of remotely sensed images has been proposed

    Rough sets and the possibility of their use in forestry

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    The need for effective management of uncertainty and incomplete information is the main factor of interest in the rough set theory and multi鈭抲se methods of analysis based on this theory, both in scientific research and in solving practical problems. Rough sets can be used for processing of both non spatial and spatial data. Five areas of application of rough set in decision鈭抯upport systems in forestry and forest research are presented in the study. The example of using rough sets methods for data processing in order to determine cause鈭抏ffect relationships and making classification is also presented

    Fractal dimension as a tool for description of forest structure complexity

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    The paper describes the procedure of calculation of surface fractal dimension based on using raster datasets: preprocessed LIDAR data. The procedure was used to assess the surface complexity of forest stand canopy. Relationships between size of the pixels of raster image and fractal dimension of canopy surface presented on that image were recognized. Dependence of fractal dimension on age and species composition of a stand was also found
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