Feasibility of locating biomass-to-bioenergy conversion facilities using spatial information technologies: A case study on forest biomass in Queensland, Australia

There has been a growing interest in the last decade in extracting information on Suspended Sediment Concentration (SSC) from acoustic backscatter in rivers. Quantitative techniques are not yet effective, but acoustic backscatter already provides qualitative information on suspended sediments. In particular, in the common case of a bi-modal sediment size distribution, corrected acoustic backscatter can be used to look for sand particles in suspension and provide spatial information on their distribution throughout a river crosssection. This paper presents a case-study where these techniques have been applied.

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Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography

Algorithms ◽

10.3390/a14050144 ◽

2021 ◽

Vol 14 (5) ◽

pp. 144

Author(s):

Yuexing Han ◽

Xiaolong Li ◽

Bing Wang ◽

Lu Wang

Keyword(s):

Image Segmentation ◽

Spatial Information ◽

Medical Images ◽

Tumor Segmentation ◽

Convolutional Networks ◽

Learning Framework ◽

Fully Convolutional Networks ◽

Segmentation Accuracy ◽

Boundary Information

Image segmentation plays an important role in the field of image processing, helping to understand images and recognize objects. However, most existing methods are often unable to effectively explore the spatial information in 3D image segmentation, and they neglect the information from the contours and boundaries of the observed objects. In addition, shape boundaries can help to locate the positions of the observed objects, but most of the existing loss functions neglect the information from the boundaries. To overcome these shortcomings, this paper presents a new cascaded 2.5D fully convolutional networks (FCNs) learning framework to segment 3D medical images. A new boundary loss that incorporates distance, area, and boundary information is also proposed for the cascaded FCNs to learning more boundary and contour features from the 3D medical images. Moreover, an effective post-processing method is developed to further improve the segmentation accuracy. We verified the proposed method on LITS and 3DIRCADb datasets that include the liver and tumors. The experimental results show that the performance of the proposed method is better than existing methods with a Dice Per Case score of 74.5% for tumor segmentation, indicating the effectiveness of the proposed method.

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Opportunities and barriers to forest biomass energy: A case study of four U.S. states

Biomass and Bioenergy ◽

10.1016/j.biombioe.2021.106035 ◽

2021 ◽

Vol 148 ◽

pp. 106035

Author(s):

Christopher S. Galik ◽

Michelle E. Benedum ◽

Marcus Kauffman ◽

Dennis R. Becker

Keyword(s):

Forest Biomass ◽

Biomass Energy

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Technology in Context: Mediating Factors in the Utilization of Planning Technologies

Environment and Planning A Economy and Space ◽

10.1068/a37123 ◽

2005 ◽

Vol 37 (5) ◽

pp. 895-907 ◽

Cited By ~ 5

Author(s):

Ari Goelman

Keyword(s):

Organizational Structure ◽

Information Technologies ◽

Public Access ◽

Web Gis ◽

Gis Technology ◽

Additional Insight ◽

Mediating Factors ◽

The Impact ◽

Insight Into

My research explores the question: how can theorists better understand the ways in which planning technologies are used by municipal planners? In the case-study municipality, a recently introduced web-GIS technology had little demonstrable success in attaining two of its stated goals: enabling increased public access to municipal geographic information and encouraging planners to produce their own maps. My research links these outcomes not only to the technologies themselves, but to organizational structure and human agency. Planners and planning theorists can gain additional insight into the impact of planning technologies through closer attention to the process through which planners come to use information technologies and the way this process both alters and is constrained by existing organizational constraints, including previously adopted technologies.

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Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

Canadian Journal of Remote Sensing ◽

10.5589/m12-003 ◽

2011 ◽

Vol 37 (6) ◽

pp. 596-611 ◽

Cited By ~ 42

Author(s):

Hans-Erik Andersen ◽

Jacob Strunk ◽

Hailemariam Temesgen ◽

Donald Atwood ◽

Ken Winterberger

Keyword(s):

Remote Sensing ◽

Boreal Forests ◽

Forest Biomass ◽

Interior Alaska ◽

Biomass Resources

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Forest biomass and wood consumption In the lower course of the Amazon: a case study of rhe Urubueua Island

Acta Amazonica ◽

10.1590/1809-43921999291095 ◽

1999 ◽

Vol 29 (1) ◽

pp. 79-79 ◽

Cited By ~ 3

Author(s):

Akio TSUCHIYA ◽

Mario HIRAOKA

Keyword(s):

Water Stress ◽

Forest Structure ◽

Forest Biomass ◽

Human Intervention ◽

Terra Firme ◽

Wood Volume ◽

The Difference ◽

Várzea Forests ◽

Wood Consumption

Várzea and terra-firme forests in the lower course of the Amazon were compared in terms of forest structure, wood volume increments and forest biomass. The wood volume of várzea forests was smaller than that of terra-firme forests, particularly when severe human intervention such as the cultivation of açaí palm occurred. The difference was even greater in the forest weight comparison because of the lower wood density of várzea trees. These trees are not directly influenced by water stress during the dry season, while late wood with a high density is formed in the terra-firme trees. The annual forest disappearance area due to firewood for tile factories was estimated to be about 276 ha on the island investigated, which had an area of 36,200 ha. Assuming that the forests are rotatively cultivated every 25 to 30 years, the total deforestation area is 6,870-6,948 ha in 25 years and 8,244~8,337 ha in 30 years. This result means that the balance between forest biomass and utilization is not in crisis, however, this balance might be lost as long as substitutive energy such as electricity is not supplied.

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