Estimating the spatial distribution,extent and potential lignocellulosic biomass supply of Trees Outside Forests in Baden-Wuerttemberg using airborne LiDAR and OpenStreetMap data |
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| Institution: | 1. University of Freiburg, Chair of Remote Sensing and Landscape Information Systems (FeLis), Germany;2. University of Freiburg, Chair of Forest Operations, Germany;3. University of Applied Sciences Rottenburg, Germany;1. IRSTEA, UMR TETIS, Maison de la Télédétection, 500 Rue Jean-François Breton, 34093 Montpellier, France;2. CIRAD, UMR TETIS, Maison de la Télédétection, 500 Rue Jean François Breton, 34093 Montpellier, France;1. Departamento de Engenharia Rural, Escola de Ciências e Tecnologia, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Instituto de Investigação e Formação Avançada, Universidade de Évora Apartado 94, 7002–554 Évora, Portugal;2. Departamento de Engenharia Rural, Escola de Ciências e Tecnologia, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Centro de Inovação em Tecnologias de Informação (CITI), Instituto de Investigação e Formação Avançada, Universidade de Évora Apartado 94, 7002–554 Évora, Portugal;3. Departamento de Engenharia Rural, Escola de Ciências e Tecnologia, Universidade de Évora Apartado 94, 7002–554 Évora, Portugal;1. Istanbul Okan University, Institute of Science, Land Management and Land Use Program, 34959, Tuzla, Istanbul, Turkey;2. Istanbul Okan University, Geomatics Engineering Department, 34959, Tuzla, Istanbul, Turkey;1. Department of Computer Science, University of Kentucky, Lexington, KY 40506, USA;2. Department of Forestry, University of Kentucky, Lexington, KY 40506, USA;1. University of Hohenheim, Institute of Food Science and Biotechnology, Department of Bioprocess Engineering, Fruwirthstrasse 12, 70599 Stuttgart, Germany;1. University of Applied Forest Sciences Rottenburg, Schadenweilerhof, D-72108 Rottenburg am Neckar, Germany;2. University of Freiburg, Chair of Forest Operations, Werthmannstraße 6, D-79085 Freiburg im Breisgau, Germany;3. Bioenergy 2020+ GmbH, Gewerbepark Haag 3, 3250 Wieselburg-Land, Austria |
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| Abstract: | Trees Outside Forests (TOF) represent a source of lignocellulosic biomass that has received increasing attention in the recent years. While some studies have already investigated the potential of TOF in Germany, a spatial explicit analysis, specifically for Baden-Wuerttemberg, is still lacking. We used a unique wall-to-wall airborne Light Detection and Ranging (LiDAR) dataset combined with OpenStreetMap (OSM) data to map and classify TOF of the federal state of Baden-Wuerttemberg (～35.000 km2) in south-western Germany. Furthermore, from annual biomass potentials of TOF areas collected from available literature, we calculated the mean annual biomass supply for all TOF areas in Baden-Wuerttemberg. This combination of remote sensing-based classification and available literature resulted in a mean annual biomass supply between ～490,000–730,000 t from TOF in Baden-Wuerttemberg. The classification congruence on three reference sites was very high (～99%) using a simple filter technique applied to the LiDAR data and masking man-made objects using OSM data. In contrast, the available literature revealed a high variability of biomass potentials, supporting the demand for an inventory system. Still, the results demonstrate the applicability of LiDAR based vegetation mapping and the value of OSM data in Baden-Wuerttemberg to detect man-made objects. |
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| Keywords: | Trees Outside Forests LiDAR OpenStreetMap Classification Biomass supply Bioeconomy |
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