An imaging spectroradiometer was built covering the 8-12-mum region with an acousto-optic tunable filter with a 3-cm(-1) passband, along with a commercial infrared camera. The system field of view was 7.5 degrees x 10 degrees , and the resolution was nearly diffraction limited. Real-time images were digitally recorded, and software was used to enhance the data and increase the camera temperature sensitivity to less than a millidegree Kelvin. The minimum discernible intensity was 10(-3) that of a globar source at 900 K, and emission from SF(6)could be imaged at ambient temperatures.
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http://dx.doi.org/10.1364/ao.37.002340 | DOI Listing |
Heliyon
February 2025
Department of Geography, Faculty of Social Sciences, University of Umm Alqura, 24382, Makkah, Saudi Arabia.
The mangroves on the Red Sea coast, home to the most economically valuable plants, are currently experiencing significant spatio-temporal changes. A few previous studies used satellite data to monitor the mangroves in Saudi Arabia. As an extension of these studies, we aim to detect the differences in the density and coverage of the mangroves that grow between Allith and Alqahma on the Red Sea coast, produce a digital map for the region, and determine the natural and anthropogenic factors that affect mangrove growth.
View Article and Find Full Text PDFSci Data
March 2025
Department of Earth and Environmental Engineering, Columbia University, New York, USA.
Satellite-observed solar-induced chlorophyll fluorescence (SIF) is a powerful proxy for the photosynthetic characteristics of terrestrial ecosystems. Direct SIF observations are primarily limited to the recent decade, impeding their application in detecting long-term dynamics of ecosystem function. In this study, we leverage two surface reflectance bands available both from Advanced Very High-Resolution Radiometer (AVHRR, 1982-2023) and MODerate-resolution Imaging Spectroradiometer (MODIS, 2001-2023).
View Article and Find Full Text PDFMar Pollut Bull
February 2025
College of Marine and Environment, Tianjin University of Science and Technology, Tianjin 300457, China. Electronic address:
Yellow Sea green tides have become recurring marine ecological disasters, making accurate forecasting essential for early warning and preventive measures. This study incorporates a stochastic perturbed parameterization scheme into the Yellow Sea Green Tide Drift Model to create an ensemble forecast of the drifting path of green tides, using the 2016 Yellow Sea green tide event as a case study. The ensemble forecast experiment demonstrates that this approach effectively simulates the drift characteristics of the 2016 green tide.
View Article and Find Full Text PDFJ Imaging
January 2025
Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
This study proposes a method for estimating the spectral images of fluorescence spectral distributions emitted from plant grains and leaves without using a spectrometer. We construct two types of multiband imaging systems with six channels, using ordinary off-the-shelf cameras and a UV light. A mobile phone camera is used to detect the fluorescence emission in the blue wavelength region of rice grains.
View Article and Find Full Text PDFMar Environ Res
March 2025
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China.
Green algal blooms (GABs) have become a global concern and are particularly serious in the southern Yellow Sea (SYS). Remote sensing (RS) images are the most popular and effective data source for detecting GABs; however, in case of unfavorable weather conditions (e.g.
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