Results 71 to 80 of about 9,036 (210)
Remote Sensing, 2017 White matter hyperintensities (WMHs) are closely related to various geriatric disorders including cerebrovascular diseases, cardiovascular diseases, dementia, and psychiatric disorders of elderly people, and can be generally detected on T2 weighted (T2W)
Hsian-Min Chen +9 more
doaj +1 more source
High Performance Computing for Hyperspectral Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011 Advances in sensor and computer technology are revolutionizing the way remotely sensed data is collected, managed and analyzed. In particular, many current and future applications of remote sensing in Earth science, space science, and soon in exploration science will require real- or near real-time processing capabilities.
Antonio Plaza +3 more
openaire +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
Sustainable Development, EarlyView.ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
Entre Ciencia e Ingeniería, 2019 Food requirements in the world have increased, evidencing the necessity to improve standard techniques of agricultural production. To do so, one option is through technological elements like hyperspectral remote sensing of vegetation and crops.
David Ruiz Hidalgo +2 more
doaj +1 more source
A Generic Approach to Creating a National Soil Security Strategy
Sustainable Development, EarlyView.ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney +21 more
wiley +1 more source
Artificial Intelligence for Engineering, EarlyView.Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang +16 more
wiley +1 more source
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves +8 more
wiley +1 more source
Twenty‐one questions shaping the future of plant phenology research in the 21st century
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract This Perspective examines the critical frontiers shaping the future of plant phenology research and identifies key emerging challenges and opportunities expected to influence the field in the 21st century.
Barbara Templ +19 more
wiley +1 more source
Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng +10 more
wiley +1 more source
A short survey of hyperspectral remote sensing applications in agriculture
2013 6th International Conference on Recent Advances in Space Technologies (RAST), 2013 Hyperspectral sensors are devices that acquire images over hundreds of spectral bands, thereby enabling the extraction of spectral signatures for objects or materials observed. Hyperspectral remote sensing has been used over a wide range of applications, such as agriculture, forestry, geology, ecological monitoring and disaster monitoring.
Teke, Mustafa +4 more
openaire +4 more sources