scholarly journals Forest Variable Estimation and Change Monitoring Solutions Based on Remote Sensing Big Data

2021 ◽  
pp. 321-333
Author(s):  
Jukka Miettinen ◽  
Stéphanie Bonnet ◽  
Allan A. Nielsen ◽  
Seppo Huurinainen ◽  
Renne Tergujeff
Keyword(s):  
Big Data ◽  
Technology Use ◽  
Forest Inventory ◽  
Field Data ◽  
User Involvement ◽  
Inventory Systems ◽  
Forest Monitoring ◽  
Online Platforms ◽  
Data Provision ◽  
Change Monitoring

AbstractIn this pilot, we demonstrate the usability of online platforms to provide forest inventory systems for exploiting the benefits of big data. The pilot highlights the technical transferability of online platform based forest inventory services. All of the services tested in the piloting sites were technically implemented successfully. However, in new geographical areas, strong user involvement in service definition and field data provision will be needed to provide reliable and meaningful results for the users. Overall, the pilot demonstrated well the benefits of technology use in forest monitoring through a range of forest inventory applications utilizing online big data processing approaches and inter-platform connections.

Improving L-Band SAR Forest Monitoring by Big Data Deep Learning Based on ALOS-2 5 Years Pan-Tropical Observations

2021 ◽  
Author(s):  
Christian N. Koyama ◽  
Manabu Watanabe ◽  
Edson E. Sano ◽  
Masato Hayashi ◽  
Izumi Nagatani ◽  
...  
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Forest Monitoring ◽  
L Band

Social Media Analytics

2022 ◽  
pp. 385-410
Author(s):  
Časlav Kalinić ◽  
Miroslav D. Vujičić
Keyword(s):  
Social Media ◽  
Big Data ◽  
Cultural Tourism ◽  
Social Media Analytics ◽  
Online Platforms ◽  
New Information ◽  
People Participation ◽  
Management And Development ◽  
Social Media Platforms ◽  
Tourism Destinations

The rise of social media allowed greater people participation online. Platforms such as Facebook, Twitter, Instagram, or TikTok enable visitors to share their thoughts, opinions, photos, locations. All those interactions create a vast amount of data. Social media analytics, as a way of application of big data, can provide excellent insights and create new information for stakeholders involved in the management and development of cultural tourism destinations. This chapter advocates for the employment of the big data concept through social media analytics that can contribute to the management of visitors in cultural tourism destinations. In this chapter, the authors highlight the principles of big data and review the most influential social media platforms – Facebook, Twitter, Instagram, and TikTok. On that basis, they disclose opportunities for the management and marketing of cultural tourism destinations.

The social process of Big Data and predictive analytics use for logistics and supply chain management

2019 ◽  
Vol 49 (7) ◽  
pp. 706-726 ◽  
Author(s):  
Annibal Sodero ◽  
Yao Henry Jin ◽  
Mark Barratt
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Technology Use ◽  
Predictive Analytics ◽  
Social Process ◽  
Theory Approach ◽  
Chain Management ◽  
Content Type ◽  
The Social

Purpose The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations. Design/methodology/approach The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC. Findings Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design and institutional properties. Findings also reveal previously unreported aspects of BDPA use for LSCM. These include the presence of temporal and spatial discontinuities in the technology use across RSC organizations. Practical implications This study unveils that it is impossible to design a BDPA technology ready for immediate use. The emergent process framework shows that institutional and social factors require BDPA use specific to the organization, as the technology comes to reflect the properties of the organization and the wider social environment for which its designers originally intended. BDPA is, thus, not easily transferrable among collaborating RSC organizations and requires managerial attention to the institutional context within which its usage takes place. Originality/value The literature describes why organizations will use BDPA but fails to provide adequate insight into how BDPA use occurs. The authors address the “how” and bring a social perspective into a technology-centric area.

Supporting large-area, sample-based forest inventories with very high spatial resolution satellite imagery

2009 ◽  
Vol 33 (3) ◽  
pp. 403-423 ◽  
Author(s):  
Michael J. Falkowski ◽  
Michael A. Wulder ◽  
Joanne C. White ◽  
Mark D. Gillis
Keyword(s):  
Forest Inventory ◽  
Information Needs ◽  
High Spatial Resolution ◽  
Temporal Frequency ◽  
Forest Monitoring ◽  
Large Area ◽  
Remotely Sensed Imagery ◽  
Forest Inventories ◽  
Very High Spatial Resolution ◽  
Very High

Information needs associated with forest management and reporting requires data with a steadily increasing level of detail and temporal frequency. Remote sensing satellites commonly used for forest monitoring (eg, Landsat, SPOT) typically collect imagery with sufficient temporal frequency, but lack the requisite spatial and categorical detail for some forest inventory information needs. Aerial photography remains a principal data source for forest inventory; however, information extraction is primarily accomplished through manual processes. The spatial, categorical, and temporal information requirements of large-area forest inventories can be met through sample-based data collection. Opportunities exist for very high spatial resolution (VHSR; ie, <1 m) remotely sensed imagery to augment traditional data sources for large-area, sample-based forest inventories, especially for inventory update. In this paper, we synthesize the state-of-the-art in the use of VHSR remotely sensed imagery for forest inventory and monitoring. Based upon this review, we develop a framework for updating a sample-based, large-area forest inventory that incorporates VHSR imagery. Using the information needs of the Canadian National Forest Inventory (NFI) for context, we demonstrate the potential capabilities of VHSR imagery in four phases of the forest inventory update process: stand delineation, automated attribution, manual interpretation, and indirect attribute modelling. Although designed to support the information needs of the Canadian NFI, the framework presented herein could be adapted to support other sample-based, large-area forest monitoring initiatives.

scholarly journals Introduction—State of the Art of Technology and Market Potential for Big Data in Forestry

2021 ◽  
pp. 299-307
Author(s):  
Jukka Miettinen ◽  
Renne Tergujeff
Keyword(s):  
Big Data ◽  
Data Processing ◽  
State Of The Art ◽  
Market Potential ◽  
Forest Monitoring ◽  
Processing Technologies ◽  
Forestry Sector ◽  
Rapid Changes ◽  
Full Benefit

AbstractForest monitoring is undergoing rapid changes due to the growing data volumes, developing data processing technologies and increasing monitoring requirements. The DataBio forestry pilots set out to demonstrate how big data approaches can support the forestry sector to get full benefit of the evolving technologies and to meet the increasing monitoring requirements. In this introductory chapter, we describe underlying technical and market forces driving the forestry sector toward big data approaches, and give short overviews on the forestry pilots to be presented in the following chapters.

scholarly journals Options for teaching-learning and research in higher education: coping strategies for Environmental Science studies during COVID-19 pandemic

2020 ◽  
Vol 1 (1) ◽  
pp. 142-148
Author(s):  
Ramesh Prasad Sapkota ◽  
Kedar Rijal
Keyword(s):  
Online Teaching ◽  
Field Data ◽  
Environmental Science ◽  
Science Studies ◽  
Academic Institutions ◽  
Virtual Classrooms ◽  
Research Activities ◽  
Online Platforms ◽  
Teaching Learning ◽  
Future Education

Online teaching-learning and virtual classrooms have been the choice of many academia across the globe, when there are lockdown uncertainties, preventing the students for real classroom learnings, due to pandemic. When academic institutions are attempting to adopt online teaching-learning and research, there is need to search the possibilities of improving such approaches. In this context, this paper attempts to provide approaches on how the online teaching-learning and research activities under Environmental Science subject can be strengthened. The paper has identified that in addition to online platforms and virtual classrooms, careful collection of field data de-facto and send to the class for discussion and analysis can open wide array of possibilities to learn distantly. Government-academia partnership and coordination among academic institutions and other relevant stakeholders during the pandemic break, help in providing two-way benefits, viz. academic requirement fulfillment of the academic institutions and reference documents development for the data providing institutions. However, in attempting remote teaching-learning and research, every activities of students are required to be assessed by developing clear and unambiguous evaluation rubric. Strengthening online teaching-learning and research can be one of the avenues for developing future education strategies in academic institutions of Nepal.

Capturing feedback from user sub-groups in user-centered design: A protocol integrating key user characteristics in the development of digital support for seniors’ fall preventive physical activity (Preprint)

2020 ◽  
Author(s):  
Åsa Revenäs ◽  
Ann-Christin Johansson ◽  
Maria Ehn
Keyword(s):  
Physical Activity ◽  
Technology Use ◽  
User Involvement ◽  
Activity Level ◽  
User Centered Design ◽  
Iterative Development ◽  
Key Characteristics ◽  
Per Se ◽  
Systematic Collection ◽  
User Centered

BACKGROUND User-centered design (UCD) aims at understanding the users’ perspective and shape new solutions thereafter. UCD gives access to users’ needs and requirements and thereby improves solutions design. However, involving users in the development process does not per se guarantee that feedback from different sub-groups of users are equally shaping the development, and therefore resulting in solutions that are useful for the whole intended population. OBJECTIVE The aim of this study is to describe a protocol to integrate key characteristics of user sub-groups in collection and analysis of feedback in User-centered design (UCD) of a digital motivation support for fall preventive physical activity (PA) in seniors (older adults, 65 years of age or older). METHODS This study follows a UCD model, with early user involvement as one key principle. The protocol describes a method for systematic collection and prioritization of user feedback during the iterative development of two digital applications. For each of the four cycles in the iterative development, the aim is to recruit a group of at least 8 seniors (65 years or older, independent living) with equal distribution of men and women and a variation in both PA level and technology use. Procedures for collecting data during and after the user tests are mainly qualitative. RESULTS This paper describes a novel approach for integrating key characteristics of users sub-groups in UCD. We have developed a protocol for ensuring that feedback from both genders, persons with varied activity level and technology use are considered in the iterative development of a digital motivation support for seniors’ PA. The method has been applied in a study that has been approved by the regional ethics committee in Uppsala (Dnr 2018/044). Data collection and iterative development of the digital support has been conducted during Spring-Summer 2018 and the result is expected to be published during 2020/2021. CONCLUSIONS User involvement is the golden standard in systems design. However, it does not per se guarantee that feedback from different user sub-groups are equally shaping the development, and hence resulting in a solution that is useful for the whole intended population. Methods for systematic collection, analysis and prioritization of feedback from sub-groups might be particularly important in heterogenous groups, such as seniors. This protocol can contribute to identify and improve our understanding of potential differences in use and experiences of technical support systems for fall preventive PA among user-subgroups of seniors. This knowledge can be relevant for developing technology support that is appropriate, useful and attractive to the users and for enabling design of technology targeting specific user sub-groups, i.e. tailoring of the support. The protocol needs to be further used and investigated to understand its potential value.

Technology Use and Innovation Strategies in Event Tourism

2022 ◽  
pp. 104-121
Author(s):  
Tuba Türkmendağ ◽  
Zafer Türkmendağ
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Technology Use ◽  
New Technologies ◽  
Direct Marketing ◽  
Behavioral Changes ◽  
The World ◽  
Event Tourism ◽  
Innovation Strategies ◽  
Management Effects

Event tourism has undergone a serious change in the world with developing technology and innovations. In this respect, this chapter examines the direct, marketing, and management effects of technology on event tourism with a literature review. Studies in this field in the literature show that technologies such as artificial intelligence, big data, robots, decision support systems, internet of things, 5G cause behavioral changes in tourists; thus, event organizers use these technologies effectively to keep up with this change. In this context, academic studies in the field, new technologies, and methods used, innovation strategies are explained in detail in the book section, and a framework has been developed and presented to examine smart event tourism in detail. The results of the research are thought to contribute to the literature and offer managerial solutions.

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