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Article

Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland

1
Department of Geoinformation, Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, ul. Wieniawskiego 1, 61-712 Poznan, Poland
2
Department of the Study of Social Dynamics, Faculty of Sociology, Adam Mickiewicz University, ul. Szamarzewskiego 89c, 60-568 Poznan, Poland
3
Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, al. 29 Listopada 46, 31-425 Kraków, Poland
4
Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, ul. Narutowicza 11/12, 80-233 Gdansk, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Ramón Alberto Díaz-Varela
Remote Sens. 2021, 13(4), 767; https://doi.org/10.3390/rs13040767
Received: 6 January 2021 / Revised: 8 February 2021 / Accepted: 13 February 2021 / Published: 19 February 2021
(This article belongs to the Special Issue 3D Point Clouds in Forest Remote Sensing)
Trees growing on private property have become an essential part of urban green policies. In many places, restrictions are imposed on tree removal on private property. However, monitoring compliance of these regulations appears difficult due to a lack of reference data and public administration capacity. We assessed the impact of the temporary suspension of mandatory permits on tree removal, which was in force in 2017 in Poland, on the change in urban tree cover (UTC) in the case of the municipality of Racibórz. The bi-temporal airborne laser scanning (ALS) point clouds (2011 and 2017) and administrative records on tree removal permits were used for analyzing the changes of UTC in the period of 2011–2017. The results show increased tree removal at a time when the mandatory permit was suspended. Moreover, it appeared that most trees on private properties were removed without obtaining permission when it was obligatory. The method based on LiDAR we proposed allows for monitoring green areas, including private properties. View Full-Text
Keywords: urban tree cover; environmental management; tree removal permits; airborne laser scanning; private property urban tree cover; environmental management; tree removal permits; airborne laser scanning; private property
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MDPI and ACS Style

Przewoźna, P.; Hawryło, P.; Zięba-Kulawik, K.; Inglot, A.; Mączka, K.; Wężyk, P.; Matczak, P. Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland. Remote Sens. 2021, 13, 767. https://doi.org/10.3390/rs13040767

AMA Style

Przewoźna P, Hawryło P, Zięba-Kulawik K, Inglot A, Mączka K, Wężyk P, Matczak P. Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland. Remote Sensing. 2021; 13(4):767. https://doi.org/10.3390/rs13040767

Chicago/Turabian Style

Przewoźna, Patrycja, Paweł Hawryło, Karolina Zięba-Kulawik, Adam Inglot, Krzysztof Mączka, Piotr Wężyk, and Piotr Matczak. 2021. "Use of Bi-Temporal ALS Point Clouds for Tree Removal Detection on Private Property in Racibórz, Poland" Remote Sensing 13, no. 4: 767. https://doi.org/10.3390/rs13040767

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