Results 51 to 60 of about 70,330 (312)

datacarpentry/geospatial-workshop: Data Carpentry: Geospatial Workshop Overview, June 2019

, 2019
<p>Overview of the Data Carpentry Geospatial workshop</p ...
Karl Benedict (7112903), Whalen (7112900), Chris Prener, Maneesha Sane, Joseph Stachelek (7044419), Angela Li, Maneesha Sane (7112906), Whalen, Karl Benedict, Angela Li (3427184), Joseph Stachelek, Chris Prener (7112897)   +11 more
core   +1 more source

Assessing the Feasibility of Wearable Devices for Physiological Monitoring and Heat Risk Prediction in Outdoor Agricultural Workers

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Outdoor agricultural workers experience significant heat exposure, yet few studies have evaluated whether wearable sensors can reliably measure continuous physiological responses in real field conditions. This pilot study examined the feasibility and predictive utility of core temperature, hydration, heart rate, and movement data ...
Sinan Sousan, Elizabeth Mizelle, Qiang Wu, Rui Wu, Guy Iverson, Ciprian Popoviciu, Dylan Hemedinger, Eliezer Loyola, Takari Hood, Monica Ramirez, Jo Anne Balanay   +10 more
wiley   +1 more source

Assessing nighttime artificial light pollution from the perspective of an unmanned aerial vehicle tilt

Geocarto International
Increasing artificial light at night (ALAN) impacts urban sustainability and contributes to light pollution. Nighttime satellites miss side ALAN, so drone-captured tilted images and measured illuminance are used to assess ALAN pollution within urban ...
Jiejie Wu, Liang Zhou, Deping Li, Daoquan Zhang, Tingting Jiang, Chengzhi Zong   +5 more
doaj   +1 more source

Refining National Forest Cover Data Based on Fusion Optical Satellite Imageries in Indonesia

International Journal of Forestry Research, 2023
Precision mapping towards tropical forest cover data is critical to address the global climate crisis, such as land-based carbon measurement and potential conservation areas identification.
Ogy Dwi Aulia, Isnenti Apriani, Andi Juanda, Mufti Fathul Barri, Rosima Wati Dewi, Fauzan Nafis Muharam, Bryandanu Oktanine, Theresia Bernadette Phoa, Aryo Adhi Condro   +8 more
doaj   +1 more source

User-Specific Route Planning for People with Motor Disabilities: A Fuzzy Approach

ISPRS International Journal of Geo-Information, 2021
Mobility is fundamental for social participation. Everyone benefits from pedestrian networks for their mobility and daily activities. People without disabilities may have little difficulty walking on narrow sidewalks, over potholes, and so on.
Amin Gharebaghi, Mir-Abolfazl Mostafavi, Geoffrey Edwards, Patrick Fougeyrollas   +3 more
doaj   +1 more source

Development of a New Framework for Distributed Processing of Geospatial Big Data

, 2017
Geospatial technology is still facing a lack of “out of the box” distributed processing solutions which are suitable for the amount and heterogeneity of geodata, and particularly for use cases requiring a rapid response.
Kristóf, Dániel, Olasz, Angéla, Thai, Binh Nguyen, Thai Nguyen, Binh   +3 more
core   +1 more source

Spatiotemporal Data Analysis with Codeless Visual Programming

, 2023
This seminar will introduce the KNIME Analytics Platform and its Geospatial Analytics extension developed by the Spatial Data Lab (SDL) team at Harvard's Center for Geographic Analysis (CGA).
Spatial Data Lab
core   +1 more source

Participatory Policy Development: Reflections on Designing the Strong Roots for Our Futures Program in Victoria

Australian Journal of Social Issues, EarlyView.
ABSTRACT In this paper, we trace the journey to create the Strong Roots for our Futures Program, a government program to resource and support Traditional Owners to undertake a range of activities in areas where no state recognition existed. We provide a background to state recognition in Victoria before considering the program design, leading to an ...
Nell Reidy, Bhiamie Williamson, Jesse Williams   +2 more
wiley   +1 more source

Mother: a maternal online technology for health care dataset

BMC Research Notes
Objectives These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy. Such
Odongo Steven Eyobu, Brian Angoda Nyanga, Lukman Bukenya, Daniel Ongom, Tonny J. Oyana   +4 more
doaj   +1 more source

Fine-Tuning LLM-Assisted Chinese Disaster Geospatial Intelligence Extraction and Case Studies

ISPRS International Journal of Geo-Information
The extraction of disaster geospatial intelligence (DGI) from social media data with spatiotemporal attributes plays a crucial role in real-time disaster monitoring and emergency decision-making. However, conventional machine learning approaches struggle
Yaoyao Han, Jiping Liu, An Luo, Yong Wang, Shuai Bao   +4 more
doaj   +1 more source