Results 61 to 70 of about 1,727,336 (191)

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source

Hyperspectral Investigation of an Abandoned Waste Mining Site: The Case of Sidi Bou Azzouz (Morocco)

Remote Sensing
The increasing demand for critical raw materials (CRMs), driven by global energy transition, underscores the need for innovative approaches to identify secondary resources, such as mining residues.
Daniela Guglietta, Roberto Salzano, Amina Wafik, Aida M. Conte, Matteo Paciucci, Rosalda Punturo, Rosamaria Salvatori, Giorgio S. Senesi, Carmela Vaccaro   +8 more
doaj   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Remote Distinction of A Noxious Weed (Musk Thistle: CarduusNutans) Using Airborne Hyperspectral Imagery and the Support Vector Machine Classifier

Remote Sensing, 2013
Remote detection of non-native invasive plant species using geospatial imagery may significantly improve monitoring, planning and management practices by eliminating shortfalls, such as observer bias and accessibility involved in ground-based surveys ...
Norman C. Elliott, Charles M. Rush, Gerald J. Michels, Karl Steddom, David C. Jones, Mustafa Mirik, R. James Ansley   +6 more
doaj   +1 more source

Multi-platform optical remote sensing dataset for target detection

Data in Brief, 2020
Target detection in remote sensing has vital applications in mineral mapping, law enforcement, precision agriculture, strategic surveillance, etc. We present the acquisition of a first-of-its-kind high-resolution multi-platform (ground, airborne, and ...
Sudhanshu Shekhar Jha, Manohar Kumar, Rama Rao Nidamanuri   +2 more
doaj   +1 more source

Global and Local Real-Time Anomaly Detectors for Hyperspectral Remote Sensing Imagery [PDF]

Remote Sensing, 2015
Anomaly detection has received considerable interest for hyperspectral data exploitation due to its high spectral resolution. A well-known algorithm for hyperspectral anomaly detection is the RX detector. A number of variations have been studied since then, including global and local versions for different type of anomalies.
Chunhui Zhao, Yulei Wang 0002, Bin Qi, Jia Wang   +3 more
openaire   +2 more sources

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

Food Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any, Abid Hassan Arnab, Liza Akter, Yusuf Chowdhury, Md. Hassan Bin Nabi, Md Abu Rayhan, Nazmul Islam, Wahidu Zzaman   +7 more
wiley   +1 more source

Effective classification of Chinese tea samples in hyperspectral imaging [PDF]

, 2013
Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang, Marshall, Stephen, Kelman, Timothy   +2 more
core   +3 more sources

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source

Retrieval of Salt Marsh Above-Ground Biomass from High-Spatial Resolution Hyperspectral Imagery Using PROSAIL

Remote Sensing, 2019
Salt marsh vegetation density varies considerably on short spatial scales, complicating attempts to evaluate plant characteristics using airborne remote sensing approaches.
Rehman S. Eon, Sarah Goldsmith, Charles M. Bachmann, Anna Christina Tyler, Christopher S. Lapszynski, Gregory P. Badura, David T. Osgood, Ryan Brett   +7 more
doaj   +1 more source