Autor: Sterenczak, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Dane społecznościowej informacji geograficznej jako źródło informacji o wykorzystaniu lasów w aglomeracji warszawskiej
Volunteered Geographic Information data as a source of information on the use of forests in the Warsaw agglomeration
Autorzy:: Ciesielski, M.
Stereńczak, K.
Powiązania:: https://bibliotekanauki.pl/articles/979107.pdf
Data publikacji:: 2020
Wydawca:: Polskie Towarzystwo Leśne
Tematy:: Warsaw agglomeration
VGI
Flickr
GPS
forest recreational function
social media
Opis:: The purpose of this study was to present possibilities of using available Volunteered Geographic Information (VGI) created by users of Flickr to monitor activity in the forest areas within the Warsaw agglomeration. The paper indicates which forest complexes (municipal or agglomeration) were most frequently visited as well as the dates of the greatest use of forest areas in daily, weekly and monthly terms. The study objects include forest areas located in Warsaw and in 52 communes constituting the Warsaw agglomeration. The Kampinos National Park (KPN), which is under strong recreational pressure from the inhabitants of Warsaw agglomeration, was also analysed. In total, we used 1180 images from the Flickr portal in the study. The most visited place was the Kampinos National Park (18.7%), then the forest area in the Legionowo commune (10.7%), which constitute one large forest complex with forests in Choszczówka. Large, compact municipal forest complexes (e.g. Bielański and Linde (8.2%), Sobieski (7.4%) and Kabaty (5.3%)), as well as forests within the Mazowiecki Landscape Park (6.3%) were also very popular. Fraction of photos taken in municipal forests of Warsaw as well as in the agglomeration and KPN forests was larger on Saturdays and Sundays than on business days. It amounted to 51.7% and 59.3%, in forests of a given category respectively. Pictures from the agglomeration and KPN forest areas were most often taken in May (13.8%), while the least often in December (3.3%). Fraction of people visiting municipal forests of Warsaw was the largest in December (12.3%) and the lowest in July (5.0%). On a daily basis, the most activity in both categories was recorded between 11−18. The use of VGI data from the Flickr portal enabled spatial and temporal analysis of user activity in urban and suburban forests. The results obtained confirm current research using survey forms, but in contrast to them, they show the actual places visited for recreation. It should be emphasized that due to the privacy policy of portals, VGI data do not contain information about the metric and status of the user, which makes the analyses inadequate for the entire population.
Źródło:: Sylwan; 2020, 164, 08; 695-704
0039-7660
Pojawia się w:: Sylwan
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Detekcja budynków na terenach o dużej lesistości na przykładzie Parku Narodowego Gór Stołowych
Detection of buildings in forest areas – the case of Stolowe Mountains National Park
Autorzy:: Stereńczak, K.
Ciesielski, M.
Zalewska, K.
Powiązania:: https://bibliotekanauki.pl/articles/346889.pdf
Data publikacji:: 2012
Wydawca:: Polskie Towarzystwo Informacji Przestrzennej
Tematy:: lotnicze skanowanie laserowe
samowola budowlana
kompozycja barwna
NDVI
airborne laser scanning (ALS)
unregistered buildings
image composition
Opis:: Rosnąca presja inwestycyjna na terenach leśnych powoduje zwiększanie się liczby obiektów budowlanych, w tym przede wszystkim budynków mieszkalnych, które powstają pomimo braku uzyskania przez ich właścicieli pozwolenia na budowę, czy też, w enumeratywnie wyliczonych przypadkach, zgody właściwego organu na rozpoczęcie procesu inwestycyjnego. Problem samowoli budowlanej na terenach leśnych dotyczy coraz większej liczby nadleśnictw w Polsce. Celem opracowania była detekcja budynków na terenach o znacznej lesistości, położonych w sąsiedztwie Parku Narodowego Gór Stołowych. Wybór metody detekcji budynków na terenie badań musiał uwzględnić przede wszystkim eliminację roślinności. W tym celu posłużono się danymi pochodzącymi z lotniczego skanowania laserowego oraz ortofotomapą CIR o rozdzielczości 0,6 m. Dane punktowe poddano kilku przetworzeniom, aby uzyskać obiekty o wysokości minimalnej 2 m. Do eliminacji roślinności wykorzystano wskaźnik NDVI (Normalized Differenced Vegetation Index). Analizę przeprowadzono na dwóch powierzchniach próbnych, gdzie obszar 1 wykorzystany został jako zbiór testowy, a obszar 2 jako weryfikujący. Przetworzenie materiałów przeprowadzone zostało w programie ArcGIS 10, gdzie stworzony został model detekcji budynków. Uzyskano dokładność detekcji budynków na poziomie: 80 %. Uzyskane wyniki w połączeniu z danymi z ewidencji gruntów i budynków pozwoliłyby na wskazanie potencjalnych lokalizacji samowoli budowlanych.
Growing pressure for investment in forest areas will increase the number of buildings, including primarily residential buildings to be are built without necessary permits or, in the enumerated cases, consents of the competent authority to begin the investment process. The problem of illegal buildings in forest areas concerns an increasing number of forest districts in Poland. The purpose of this study was the detection of buildings in areas with significant forest cover, located in the vicinity of the Stołowe Mountains National Park. The selection of method for detection of buildings in the study had to consider primarily the elimination of vegetation. For this purpose, the data from the airborne laser scanner data and CIR orthophotomap with a resolution of 0.6 m were used. Point cloud data were processed several times to select objects with a minimum height of 2 m. NDVI (Normalized Differenced Vegetation Index) was used for vegetation elimination. The analysis was conducted on two plots, where one area was used as a test set, and the second area - as verification set. Processing of materials was carried out in ArcGIS 10 and a model for buildings detection was developed. Building detection accuracy was about 80%. These results combined with data from the cadastre would help to identify potential sites for land use violations.
Źródło:: Roczniki Geomatyki; 2012, 10, 5; 67-78
1731-5522
2449-8963
Pojawia się w:: Roczniki Geomatyki
Dostawca treści:: Biblioteka Nauki

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Tytuł:: Wykorzystanie danych społecznościowej informacji geograficznej do monitorowania ruchu w przestrzeni leśnej
Application of the Volunteered Geographic Information data to monitor traffic in the forest area
Autorzy:: Ciesielski, M.
Stereńczak, K.
Balazy, R.
Powiązania:: https://bibliotekanauki.pl/articles/980308.pdf
Data publikacji:: 2019
Wydawca:: Polskie Towarzystwo Leśne
Tematy:: lesnictwo
Panstwowe Gospodarstwo Lesne Lasy Panstwowe
lasy
tereny lesne
uzytkowanie sportowe
uzytkowanie rekreacyjne
ruch turystyczny
natezenie ruchu
monitoring
spolecznosciowa informacja geograficzna
system GPS
Sudety
sports application
gps
forest recreational function
the sudetes
Opis:: The purpose of this study was to present the possibilities of using available Volunteered Geographic Information (VGI) created by the users of OpenStreetMap program and sports applications such as GPies.com or Endomondo to monitor the traffic in the forest area. In addition, areas where, due to high traffic, potential conflicts between different user groups may occur, were marked out. The research area covered two mountain forest districts located in the Sudetes Mountains: Szklarska Poręba and Świeradów, which due to their tourist values and an extensive network of hiking and cycling trails arouse society’s interest. In the area, 2896 unique activities divided into cycling, running and hiking were registered. It was shown that 7.3% of the length of routes used by pedestrians, 13.6% of the length of routes for runners and 11.0% of the length of routes for cyclists are characterized by high intensity of traffic, while 30.3%, 28.4% and 37.7% of routes for the indicated groups, respectively, are characterized by medium intensity of traffic. On other routes, low intensity of utilization was observed. Existing hiking and cycling trails were pointed out as the most frequently used routes. The specially designed bicycle routes, the so−called ‘Single track’, located in the Świeradów Forest District, were popular among the users. The highest traffic occurred in the morning and afternoon, on weekends and in the summer months. According to the adopted assumptions, there is a high risk of conflicts between runners and cyclists at about 1.5% of the route length as well as 2.1% of the length of routes used simultaneously by pedestrians and cyclists. It should be stated that VGI data can be used to monitor traffic in forest areas and constitute one of the elements of the decision support system (DSS). A certain weakness of VGI data from the sports applications used in this study could be the lack of the possibility of creating user profiles. Consequently that causes lack of more detailed data on this subject (age, sex, etc.). The limitation in the data useage is the privacy policy, which allows downloading only such data that has been made available for public use in the application resources.
Źródło:: Sylwan; 2019, 163, 01; 80-88
0039-7660
Pojawia się w:: Sylwan
Dostawca treści:: Biblioteka Nauki

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