Using airborne laser scanning data  for automation land cover mapping in the aspect of monitoring forest succession areas

Marta  Szostak; Jakub  Bochenek

Using airborne laser scanning data for automation land cover mapping in the aspect of monitoring forest succession areas

Publication date: 14.12.2018

Geoinformatica Polonica, 2018, Vol. 17 (2018), pp. 91 - 97

https://doi.org/10.4467/21995923GP.18.008.9638

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Using airborne laser scanning data for automation land cover mapping in the aspect of monitoring forest succession areas

Abstract

Paper concerning possibilities of using airborne laser scanning (ALS) data for monitoring land cover changes, mainly land abandonment, especially for the aspect of detection forest succession area. Automated method was developed based on the product of ALS data processing − normalized Digital Surface Model (nDSM). The results of ALS data processing were compared with the official cadastral data and the result of photointerpretation and manual vectorization orthophotomap. As a test site was chosen area in Wieliczka district (Małopolska voivodship, south of Poland). The area of study consisted of several plots listed in the cadastral database mainly as agricultural areas, meadows or pastures but most of them not used for agriculture, but abandoned and covered by process of the secondary forest succession. Detailed information about actual land cover was determined for year 2012 based on ALS data from ISOK project (Head of Geodesy and Cartography). Research showed discrepancy between the cadastral data and actual state for plots. Using ALS data, there was possibility in the semi-automatic way to confirm the process of forest succession in the analysed area, according to the results of vectorization orthophotomap.

Artykuł dotyczy oceny możliwości zastosowania danych z lotniczego skanowania laserowego (ALS) do monitorowania pokrycia terenu, głównie w aspekcie detekcji zmiany użytkowania rolniczego gruntów i postępującego procesu sukcesji leśnej. Metoda zautomatyzowana została opracowana w oparciu o produkt przetwarzania danych ALS − znormalizowany Numeryczny Model Pokrycia (zNMPT). Wyniki porównano z danymi ewidencyjnymi oraz wynikiem fotointerpretacji i wektoryzacji ortofotomapy. Jako obszar testowy wybrano teren w powiecie wielickim (woj. małopolskie). Obszar badań obejmował kilkadziesiąt działek wyszczególnionych w ewidencji gruntów jako tereny rolnicze, łąki lub pastwiska Większość analizowanych działek nie była użytkowana rolniczo, lecz objęta procesem wtórnej sukcesji leśnej. Szczegółowe informacje o aktualnym pokryciu terenu określono na rok 2012 w oparciu o dane ALS z projektu ISOK (Główny Urząd Geodezji i Kartografii). W wyniku opracowania wskazano rozbieżności pomiędzy danymi katastralnymi a stanem rzeczywistym. Wykorzystując dane ALS, w zautomatyzowany sposób można było potwierdzić postępujący proces sukcesji leśnej na analizowanym obszarze w odniesieniu do wyników wektoryzacji ortofotomapy.

Keywords

airborne laser scanning, nDSM, zonal statistics, vectorization orthophotomap

lotniczy skaning laserowy, zNMPT, analizy przestrzenne, wektoryzacja ortofotomapy

References

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Information

Information: Geoinformatica Polonica, 2018, Vol. 17 (2018), pp. 91 - 97

DOI: https://doi.org/10.4467/21995923GP.18.008.9638

Article type: Original article

Titles:

English:

Using airborne laser scanning data for automation land cover mapping in the aspect of monitoring forest succession areas

Polish: Zastosowanie danych lotniczego skanowania laserowego dla automatyzacji określania pokrycia terenu w aspekcie monitorowania obszarów sukcesji leśnej

Authors

Marta Szostak

University of Agriculture in Krakow, Faculty of Forestry, Institute of Forest Resources Management, Department of Forest Management, Geomatics and Forest Economics

Jakub Bochenek

University of Agriculture in Krakow, Faculty of Forestry, Institute of Forest Resources Management, Department of Forest Management, Geomatics and Forest Economics

Published at: 14.12.2018

Article status: Open

Licence: CC BY-NC-ND

Percentage share of authors:

Marta Szostak (Author) - 50%

Jakub Bochenek (Author) - 50%

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Publication languages:

English

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