ICC Programming

Sensing Human Effects on the Environment

7115.1 - Technical and Environmental Assessment of Forest Road Network based on ZEB1 LiDAR Data

Friday, July 7
8:30 AM - 8:50 AM
Location: McKinley

Technical and Environmental Assessment of Forest Road Network based on ZEB1 LiDAR Data
G. Arseniou1, M. Hahn 2
1 Ph.D. Student in Forestry -Laboratory of Forest Measurements and Modeling –Michigan State University - georgios.arseniou@gmail.com
2 Professor Doctor of Engineering- Laboratory of Photogrammetry and Remote Sensing, Fakultät Vermessung, Informatik und Mathematik, Hochschule für Technik Stuttgart, Germany- michael.hahn@hft-stuttgart.de
Forest road networks are vital infrastructures. They are used for transportation, recreation and protection purposes. More specifically they allow the transportation of forest products (mainly wood) by vehicles and they are strongly needed to protect forests from fires. The same time all these uses of forest roads must comply with ecological constraints.
Forest areas are usually mountainous with undulating steep terrain and dense vegetation. This is a major characteristic of forest ecosystems that cause many problems during road mapping and evaluation. Many classical survey methods of road mapping and assessment have been followed by the traditional Forestry Science but they are characterized by limited precision due to the forest anaglyph and dense vegetation. This limited precision sets some obstacles to the environmental protection and therefore it is strongly needed that a new and more reliable method will be used for the assessment of forest roads.
This study aims to investigate how LiDAR data captured with the ZEB1 handheld mobile laser scanner, can be used to evaluate if the technical forest road characteristics meet the official forest road standards. Another objective of this study is to use the ZEB1 LiDAR data in order to assess the impact of road constructions to the forest ecosystem i.e. intensity parameters. The study area is the forest area of Plattenhardt in Baden Württemberg, in Germany. Five roads of different classes are studied. The main methodology aspects are the following: the point cloud that is derived by the ZEB1 instrument is classified following the Multiscale Curvature Classification algorithm and terrain points are used to generate a Digital Terrain Model (DTM) of the study area. Afterwards the forest roads are detected on the DTM using the Gaussian Fuzzy Logic Membership Function. The comparison between the technical forest road characteristics and the standards (according to each road class) is performed based on the following technical parameters: roadway width, lengthwise grade and traverse grade. Furthermore, some road intensity parameters (that cause problems to the ecosystem) are detected: problems with the ditches network and areas on the road surface with construction problems i.e. depressions and peaks. For this purpose the Standardized Elevation Index is used. The accuracy assessment of the results based on ZEB1 data is performed by comparing them to results based on Leica TS 15 data regarding the same road parameters, using t-tests. The inherent accuracy of this laser scanner is 3cm in range 0.1-10 m and the Leica TS 15 accuracy is 2mm in distance measurements and 0.3mgon in angle measurements.
The methodology that is proposed for both technical and environmental road assessment using ZEB1 LiDAR data is found to be accurate and reliable solution especially for short forest road networks. There is found no significant statistical difference regarding the detected parameters between ZEB1 and Leica TS 15 results. The main advantages of the implemented methodology are the following: less time is needed to collect dense datasets from the study area, which is totally covered and there is no need to establish sampling plots, only one person is needed to capture field measurements, and there is no need for GPS.
Key words: ZEB1 LiDAR data, technical road parameters, road intensity parameters, Leica TS 15

Georgios Arseniou

PhD Student in Forestry
Michigan State University

My name is Georgios Arseniou and I come from Greece. I am 26 years old. I have studied “BSc. Forestry and Natural Environment” at the Aristotelian University of Thessaloniki in Greece. Afterwards , I studied “Msc. Photogrammetry and Geoinformatics” at the University of Applied Sciences in Stuttgart (HFT), Germany. During my Master studies I was a DAAD scholarship holder. Currently, I am PhD Student at Forestry Department of Michigan State University, USA as scholarship holder. My research interests focus on the applications of LiDAR data in Forestry (i.e. Biometrics, Forest Modeling, Forest constructions etc.) and climate change.

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Keith Clarke

Professor
Department of Geography, University of California, Santa Barbara

Dr. Keith C. Clarke is a research cartographer and professor with the M.A. and Ph.D. from the University of Michigan in Analytical Cartography. He is the former North American Editor of the International Journal of Geographical Information Systems and has authored about 250 book chapters, journal articles, and papers in the fields of cartography, remote sensing, and geographic information systems. He has also served on numerous National Research Council studies and the National Geographic Society's Committee on Research and Exploration. Awards include the USGS John Wesley Powell Award (2005) and the Cartography and Geographic Information Society's Distinguished Career Award (2014).

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