Quantification of Biomass Production Potentials from Trees Outside Forests—A Case Study from Central Germany

Seidel, Dominik; Busch, Gerald; Krause, Benjamin; Bade, Claudia; Fessel, Carola; Kleinn, Christoph

doi:10.1007/s12155-015-9596-z

Cited by 15 publications

(15 citation statements)

References 11 publications

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“…Within each radius of the arable parcels, lengths of woody edges were summarized and divided by the area total to get the density measure "ecotone density". German ATKIS (Official Topographic Information System) data (1:25,000) and its land cover classification [57] in combination with the mapping of "woody structures outside forests" provided by Seidel et al [107] were the underlying data sources to determine the ecotone density indicator.…”

Section: Ecotone Densitymentioning

confidence: 99%

A spatial explicit scenario method to support participative regional land-use decisions regarding economic and ecological options of short rotation coppice (SRC) for renewable energy production on arable land: case study application for the Göttingen district, Germany

Busch¹

2017

Energ Sustain Soc

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Background: Renewable energy (RE) production is a land-use driver with increasing impact on landscape configuration and a matter of controversial debate. Woody biomass cropping provides an opportunity to interlink RE supply with spatial planning goals, RE concepts and rural development programmes since it tackles several issues, ranging from climate or soil protection to over food production and income diversification as well as new and additional regional value cluster. Participatory scenario generation supported by interactive visualization tools facilitates the development of joint goals regarding local land-use decisions. Methods: Based on a stakeholder dialogue in the rural district of Göttingen, two scenarios were quantified and analysed. Reflecting a farmer-oriented economic perspective in (a) "Income first" and an integration of economic and ecological aspects in (b) "Ecological benefits", the two scenarios address opportunities and constraints of poplar short rotation coppice (SRC) in comparison to three common crop rotations in the case study area. Suitable SRC parcels were determined by linking yield modelling results of annual reference crops and poplar SRC with ecological indicators of water-induced soil erosion and ecotone density as well as with annuity calculation and a risk assessment (stochastic dominance) based on the Monte Carlo simulation of price and yield fluctuation. Results: SRC was economically superior (stochastically first-order dominant) to all three reference crop rotations (oilseed rape-wheat-barley; maize-wheat-maize-wheat; oilseed rape-wheat-wheat) on 1800 ha or 4.9% of the arable land. With a positive annuity difference ranging between 63 and 236€ ha −1 a −1 SRC provides an opportunity to diversify farmers' income. The primary energy supply from the suitable land parcels accounted for 130 GWh a −1 or 8% of the RE supply in 2030 strived for by local climate protection goals. Around 50% of the 1800 ha are suitable as focal areas for a joint consideration of farmers' income, erosion protection and structural enrichment. The related average economic trade-off on annuity differences for the gain of substantially increased ecological benefits is about 17€ ha −1 a −1 (13%).

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Section: Ecotone Densitymentioning

confidence: 99%

A spatial explicit scenario method to support participative regional land-use decisions regarding economic and ecological options of short rotation coppice (SRC) for renewable energy production on arable land: case study application for the Göttingen district, Germany

Busch¹

2017

Energ Sustain Soc

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“…To support carbon accounting programs and conventions, L-band SAR data were also found valuable to estimate tropical forest biomass [Hamdan et al, 2011]. However, with depleting tropical forest cover around the world, the extension of aforementioned experiments is needed to include woody vegetation outside forest areas (known as trees outside forests, TOF [Schnell, 2015;Seidel et al, 2015;Rossi and Rousselet, 2016]). This is to ensure that climate studies can be reinforced by a more comprehensive dataset as TOF may have significant contribution to biomass accounting at regional level.…”

Section: Introductionmentioning

confidence: 99%

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Trisasongko

2017

European Journal of Remote Sensing

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This paper presents an evaluation on strategies for rubber plantation mapping employing SAR data coupled with Random Forest (RF) and Support Vector Machine (SVM). Linear backscatter coefficients achieved saturation point at about 10 years, making this form of polarimetric data being robust only for young to mature stands. This research found that the performance of both algorithms was comparable. The addition of texture features gave substantial impact to the overall accuracy. As indicated by the analysis of variable importance, only some texture features have contributed to higher overall accuracy. Classification using a subset of texture features pointed out that accuracy could be improved using dual polarimetric data, while trivial enhancement was seen in combined HH, HV and VV backscatter intensities. The research showed that classification accuracy could be further augmented by setting proper classification parameters. Nonetheless, it is argued that the level of improvement would greatly depend on selecting a proper dataset fed into classifier, rather than tuning classifier parameters. ARTICLE HISTORY

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“…Thus, the detection and classification of TOF were often not automated or were done only by applying a simple approach. Some studies mainly used visual interpretation methods to map and classify TOF [7][8][9][10][11]. Other studies implemented automatic processes, often divided into two tasks.…”

Section: Introductionmentioning

confidence: 99%

“…Concerning the TOF geometrical classification, Straub et al [12] classified TOF on the basis of their form and size into two classes: Single tree objects or Connected groups of trees. Singh and Chand [15], Pujar et al [16], and Seidel et al [10] made a more detailed geometrical classification into three classes: Single objects, Linear objects, and Ample objects. Singh and Chand [15] classified TOF in these three classes by visual interpretation.…”

Section: Introductionmentioning

confidence: 99%

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Automated Classification of Trees outside Forest for Supporting Operational Management in Rural Landscapes

Bolyn¹,

Lejeune²,

Michez³

et al. 2019

Remote Sensing

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Trees have important and diverse roles that make them essential outside of the forest. The use of remote sensing can substantially support traditional field inventories to evaluate and characterize this resource. Existing studies have already realized the automated detection of trees outside the forest (TOF) and classified the subsequently mapped TOF into three geometrical classes: single objects, linear objects, and ample objects. This study goes further by presenting a fully automated classification method that can support the operational management of TOF as it separates TOF into seven classes matching the definitions used in field inventories: Isolated tree, Aligned trees, Agglomerated trees, Hedge, Grove, Shrub, and Other. Using publicly available software tools, an orthophoto, and a LIDAR canopy height model (CHM), a TOF map was produced and a two-step method was developed for the classification of TOF: (1) the geometrical classification of each TOF polygon; and (2) the spatial neighboring analysis of elements and their classification into seven classes. The overall classification accuracy was 78%. Our results highlight that an automated TOF classification is possible with classes matching the definitions used in field inventories. This suggests that remote sensing has a huge potential to support the operational management of TOF as well as other research areas regarding TOF.

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Quantification of Biomass Production Potentials from Trees Outside Forests—A Case Study from Central Germany

Cited by 15 publications

References 11 publications

A spatial explicit scenario method to support participative regional land-use decisions regarding economic and ecological options of short rotation coppice (SRC) for renewable energy production on arable land: case study application for the Göttingen district, Germany

A spatial explicit scenario method to support participative regional land-use decisions regarding economic and ecological options of short rotation coppice (SRC) for renewable energy production on arable land: case study application for the Göttingen district, Germany

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Automated Classification of Trees outside Forest for Supporting Operational Management in Rural Landscapes

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