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Species identification and characterization in tropical environments is an emerging field in tropical remote sensing. Significant efforts are currently aimed at the detection of tree species, of levels of forest successional stages, and the extent of liana occurrence at the top of canopies. In this paper we describe our use of high resolution imagery from the Quickbird Satellite to estimate the flowering population of Tabebuia guayacan trees at Barro Colorado Island (BCI), in Panama. The imagery was acquired on 29 April 2002 and 21 March 2004. Spectral Angle Mapping via a One-Class Support Vector machine was used to detect the presence of 422 and 557 flowering tress in the April 2002 and March 2004 imagery. Of these, 273 flowering trees are common to both dates. This study presents a new perspective on the effectiveness of high resolution remote sensing for monitoring a phenological response and its use as a tool for potential conservation and management of natural resources in tropical environments.
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http://dx.doi.org/10.3390/s110403831 | DOI Listing |
J Hazard Mater
September 2025
Faculty of Resource and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; National Key Laboratory of Uranium Resources Prospecting and Nuclear Remote Sensing, East China University of Technology, Nanchang 330000, China.
Despite China being the world's largest producer of non-ferrous metals, a comprehensive understanding of heavy metal pollution from this industry is still lacking. This study examines the spatial coupling between heavy metal (Cd, Hg, As, Pb, and Cr) emission hotspots in China's non-ferrous metal mining industry (NFMMI), non-ferrous metal smelting and processing industry (NFMSPI) and environmental media- sensitive hotspots (water body density, cultivated land concentration, and atmospheric PM2.5) to characterize the multi-media pollution risks.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
September 2025
Northwell Cardiovascular Institute, Center for Arrhythmias, New Hyde Park, New York, USA.
Background: Atrial fibrillation (AF) and heart failure (HF) frequently coexist in patients, with the development of AF often preceding HF decompensation. We sought to evaluate whether daily remote monitoring of ICD parameters could predict AF occurrence using machine learning techniques in a real-world cohort.
Methods: Data from patients with primary prevention ICDs transmitted daily to the Northwell centralized remote monitoring center between 2012 and 2021 were extracted.
Trends Biotechnol
September 2025
Czech Advanced Technology and Research Institute (CATRIN), Palacký University Olomouc, Šlechtitelů 27, 77900, Olomouc, Czech Republic; Nanotechnology Centre, Centre for Energy and Environmental Technologies, Technical University of Ostrava (VSB), 17 Listopadu 2172/15, 70800 Ostrava, Poruba, Czech
Exploring mobility beyond traditional robotic systems such as walking, swimming, and jumping, flight through dispersal, gliding, or hovering remains an untapped frontier for advanced stimulus-responsive and -sensing materials. Nature-inspired engineering has been a foundational aspect of robotic innovations, and biohybrid and biomimetic flying seeds are now becoming a significant example of this concept. By mimicking the aerodynamic properties and dispersal mechanisms of natural seeds, semi- and fully artificial systems are being designed for environmental monitoring, precision agriculture, and disease management applications that require wide-area coverage.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
Laser Spectroscopy Lab, Department of Physics, University of Agriculture Faisalabad, 38090, Pakistan. Electronic address:
Background: Classification of rose species and verities is a challenging task. Rose is used worldwide for various applications, including but not restricted to skincare, medicine, cosmetics, and fragrance. This study explores the potential of Laser-Induced Breakdown Spectroscopy (LIBS) for species and variety classification of rose flowers, leveraging its advantages such as minimal sample preparation, real-time analysis, and remote sensing.
View Article and Find Full Text PDFSci Total Environ
September 2025
Department of Geological Sciences and Geological Engineering, Queen's University, 99 University Ave, K7L 3N6 Kingston, Ontario, Canada.
Hyperspectral data have been overshadowed by multispectral data for studying algal blooms for decades. However, newer hyperspectral missions, including the recent Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Ocean Color Instrument (OCI), are opening the doors to accessible hyperspectral data, at spatial and temporal resolutions comparable to ocean color and multispectral missions. Simulation studies can help to understand the potential of these hyperspectral sensors prior to launch and without extensive field data collection.
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