Article
Forestry
Erico Kutchartt, Jose R. Gonzalez-Olabarria, Antoni Trasobares, Sergio de-Miguel, Adrian Cardil, Brigite Botequim, Vassil Vassilev, Palaiologos Palaiologou, Martino Rogai, Francesco Pirotti
Summary: We present a browser-based App for smartphones that allows users to collect geotagged and oriented photos depicting vegetation biomass and fuel characteristics. Our solution utilizes smartphones as sensors to collect data from forest ecosystems. The key points of our solution include using a low memory footprint App, employing JavaScript APIs, and storing data internally on the device and synchronizing it to a cloud-based server. The goal is to obtain properly positioned and oriented photos for future estimation of surface fuel types via Machine Learning and Deep Learning.
IFOREST-BIOGEOSCIENCES AND FORESTRY
(2023)
Article
Environmental Studies
Manuela Hirschmugl, Carina Sobe, Cosette Khawaja, Rainer Janssen, Lorenzo Traverso
Summary: This study identifies underutilized land potentially suitable for bioenergy production in Europe using remote sensing time series analysis, finding that approximately 5.3 million hectares of land are available for agricultural bioenergy production. The average patch size of underutilized land ranges from 23.2 to 49.6 hectares.
Article
Computer Science, Information Systems
Xingguo Zeng, Jianjun Liu, Xin Ren, Wei Yan, Qiang Fu, Xingye Gao, Wangli Chen, Wei Zuo, Chunlai Li
Summary: This study proposes a pan-location mapping method to support and guide the in-situ science exploration of the rover, which has been successfully applied to the Zhurong rover's exploration mission and can serve as guidance for future lunar and planetary exploration missions.
SCIENCE CHINA-INFORMATION SCIENCES
(2022)
Article
Ecology
Elena Aragoneses, Emilio Chuvieco
Summary: Fuel mapping is crucial for fire risk assessment and regeneration potential, with this study aiming to develop a methodology to produce fuel maps across European regions using Sentinel-3 images and biomass data. The methodology successfully generated accurate vegetation maps for the Iberian Peninsula and the Balearic Islands. The study produced customized fuel maps and adapted fuel maps to the Fire Behaviour Fuel Types (FBFT) system, showing similarities with existing fuel products.
Article
Engineering, Multidisciplinary
Martina Manes, Ana Sauca, Mohamad El Houssami, Petra Andersson, Colin McIntyre, Richard Campbell, David Rush, Anja Hofmann, Peter Wagner, Sergei Sokolov, Mindel Leene, Margrethe Kobes, Dirk Oberhagemann, Nicola Rupp, Grunde Jomaas, Friedrich Grone, Eric Guillaume
Summary: A well-defined terminology of fire-related variables is important for correct analyses and supporting knowledge-based decisions regarding building fires at the European level. Through a questionnaire and analysis of current definitions in fire statistics, a common terminology is proposed to collect necessary data and obtain meaningful datasets based on standard terms and definitions. These results will contribute to harmonised fire statistics at the EU level and improve fire prevention and mitigation in building fires.
Article
Environmental Sciences
Elena Gimenez-Forcada, Juan Antonio Luque-Espinar, Maria Teresa Lopez-Bahut, Juan Grima-Olmedo, Jorge Jimenez-Sanchez, Carlos Ontiveros-Beltranena, Jose Angel Diaz-Munoz, Daniel Elster, Ferid Skopljak, Denitza Voutchkova, Birgitte Hansen, Klaus Hinsby, Joerg Schullehner, Eline Malcuit, Laurence Gourcy, Teodora Szocs, Nora Gal, Dadi Porbjornsson, Katie Tedd, Davis Borozdins, Henry Debattista, Agnieszka Felter, Jolanta Cabalska, Anna Mikolajczyk, Ana Pereira, Jose Sampaio, Diana Persa, Tanja Petrovic Pantic, Nina Rman, Georgina Arno, Ignasi Herms, Lars Rosenqvist
Summary: The distribution of high concentrations of arsenic and fluoride in groundwater is influenced by the geological context, including lithology and structural faults. Most of the water sources in this study are suitable for drinking water consumption. Only a small proportion of the analyzed samples have arsenic and fluoride levels above the safety limits. The highest concentrations of arsenic and fluoride are associated with fissured hard rock outcrops or Cenozoic sedimentary zones.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2022)
Article
Engineering, Multidisciplinary
Martina Manes, Mohamad El Houssami, Richard Campbell, Ana Sauca, David Rush, Anja Hofmann, Petra Andersson, Peter Wagner, Sergei Sokolov, Johanna Veeneklaas, Margrethe Kobes, Dirk Oberhagemann, Nicola Rupp, Grunde Jomaas, Friedrich Grone, Patrick van Hees, Eric Guillaume
Summary: An analysis of fire statistics and data collection in Europe and other countries is necessary to increase awareness of the impact of fire incidents on buildings and support pan-European fire prevention and mitigation measures. The study examined the terminology, collection methodology, and data interpretation system of fire incidents in buildings in EU Member States to establish meaningful datasets. Literature review highlighted the importance of fire data collection systems in informing firefighting strategies, planning, prevention, and education. Differences and similarities between fire data collection systems were also investigated. The analysis revealed the influence of data collection complexity and structure on the quantity and quality of information in fire statistical recording systems. Moreover, the study examined existing fire statistics in EU Member States and other countries, specifically focusing on the number of fires, fire deaths, and injuries based on data from a CTIF report. Trends in fire statistics showed variations due to differences in terminology, data collection, and interpretation practices. Part II of the study proposed a common terminology for selected fire statistical variables. The results provide valuable insights for fire safety at the European level and can guide the development of more standardized fire statistics across Europe.
Article
Remote Sensing
Xingwen Quan, Marta Yebra, David Riano, Binbin He, Gengke Lai, Xiangzhuo Liu
Summary: This study developed a daily FMC product at a global scale and 500 m pixel resolution using MODIS and radiative transfer models, with validation from field measurements and enhanced accuracy through filtering out low quality data. The global FMC product has potential applications in wildfire danger modeling, early prediction, suppression, response, and improving awareness of wildfire risks.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Multidisciplinary Sciences
Yao-Liang Chung, Sheng-Hui Wu
Summary: The study introduced a new handover selection algorithm named the toss-and-catch algorithm. By employing an efficient SBS selection mechanism and configuration settings, the algorithm ensures reliable transmission and non-interruptible handovers, performing better in fixed-rail transportation with higher signal quality and lower handover disconnection rate.
Article
Forestry
Caden P. Chamberlain, Andrew J. Sanchez Meador, Andrea E. Thode
Summary: Accurate estimates of canopy base height (CBH) and canopy bulk density (CBD) are crucial for fire modeling. This study developed a method using airborne lidar data for estimating CBH and CBD, showing that airborne lidar produced more accurate estimates compared to traditional methods. The study also found that airborne lidar is more accurate at estimating CBH in unmanaged stands, while CBD estimates maintain similar accuracy regardless of management history.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Geosciences, Multidisciplinary
Elena Aragoneses, Mariano Garcia, Michele Salis, Luis M. Ribeiro, Emilio Chuvieco
Summary: This paper proposes a new European fuel classification system that includes 85 fuel types grouped into six main categories. The classification system provides a hierarchical framework for mapping fuel types at the European scale. The fuel dataset has been validated with field information and assigned fuel parameters for fire behavior modeling.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Environmental Sciences
Christopher William Smith, Santosh K. Panda, Uma Suren Bhatt, Franz J. Meyer
Summary: This study utilized high spatial and spectral resolution AVIRIS-NG hyperspectral data to generate more accurate fire fuel maps compared to those generated using low resolution Landsat 8 data. The accuracy was significantly higher and more vegetation classes were identified, demonstrating the value of AVIRIS-NG for providing decision-support information to fire managers.
Article
Soil Science
Chelene C. Hanes, Mike Wotton, Douglas G. Woolford, David L. Martell, Mike Flannigan
Summary: Forest organic layers are important for predicting fire behavior, emissions, and effects models. Machine learning approaches were used to develop maps of organic layer thickness and fuel load, with random forests being the best method for modeling their spatial distribution.
Article
Ecology
Tom Eames, Jeremy Russell-Smith, Cameron Yates, Andrew Edwards, Roland Vernooij, Natasha Ribeiro, Franziska Steinbruch, Guido R. van der Werf
Summary: This study used high spatial resolution images and meteorological data to model pre-fire above-ground biomass, finding that the model was successful in reproducing measured above-ground biomass for fine surface fuel classes in both low and high rainfall areas.
Review
Health Care Sciences & Services
Katherine E. Woolley, Diana Bright, Toby Ayres, Fiona Morgan, Kirsty Little, Alisha R. Davies
Summary: This scoping review identified inequities in access, use, and engagement with digital health technologies, particularly related to race, language, and disability. However, less attention was given to age, gender, occupation, and education in digital health. Clear evidence of differences in the use of digital technologies by occupation, gender and sex, disability, or homeless or substance misuse was lacking, as was evidence on inequalities in the engagement with digital technologies. A common framework for evaluating digital health equity in new health initiatives and consistent reporting of findings is needed.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
