Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Hyperspectral sensors"'
Autor:
Arun M. Saranathan, Mortimer Werther, Sundarabalan V. Balasubramanian, Daniel Odermatt, Nima Pahlevan
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
Given the use of machine learning-based tools for monitoring the Water Quality Indicators (WQIs) over lakes and coastal waters, understanding the properties of such models, including the uncertainties inherent in their predictions is essential. This
Externí odkaz:
https://doaj.org/article/c258c5cd711f4ae483a764ec3670155b
Autor:
Miguel Pato, Jim Buffat, Kevin Alonso, Stefan Auer, Emiliano Carmona, Stefan Maier, Rupert Muller, Patrick Rademske, Uwe Rascher, Hanno Scharr
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18566-18576 (2024)
The successful operation of airborne and space-based spectrometers in recent years holds the promise to map solar-induced fluorescence (SIF) accurately across the globe. Machine learning (ML) can play an important role in this effort, but its applica
Externí odkaz:
https://doaj.org/article/25fa1da6f1dc4faeb86079d3589f0246
Publikováno v:
Technologies, Vol 12, Iss 11, p 221 (2024)
Hyperspectral imaging is currently under active development as a method for remote sensing, environmental monitoring and biomedical diagnostics. The development of hyperspectral sensors is aimed at their miniaturization and reducing the cost of compo
Externí odkaz:
https://doaj.org/article/07c4c22e1e234e2e9c94ea9c204449a0
Autor:
Alaa Ali Hameed
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 1, Pp 102981- (2024)
Advanced sensor tech integrates into diverse applications, including remote sensing, robotics, and IoT. Combining artificial intelligence (AI) with sensors enhances their capabilities, creating smart sensors, revolutionizing remote sensing and Intern
Externí odkaz:
https://doaj.org/article/77db9354f7024470b739287ac0d4a7a9
Autor:
Renan Falcioni, Roney Berti de Oliveira, Marcelo Luiz Chicati, Werner Camargos Antunes, José Alexandre M. Demattê, Marcos Rafael Nanni
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1910 (2024)
An integrated approach that utilises hyperspectral and chlorophyll a fluorescence sensors to predict biochemical and biophysical parameters represents a new generation of remote-sensing research. The main objective of this study was to obtain a detai
Externí odkaz:
https://doaj.org/article/9644f8ced337451ca56eee3da9ae0961
Autor:
Milica Colovic, Anna Maria Stellacci, Nada Mzid, Martina Di Venosa, Mladen Todorovic, Vito Cantore, Rossella Albrizio
Publikováno v:
Agronomy, Vol 14, Iss 3, p 562 (2024)
This study analyzed the capability of aerial RGB (red-green-blue) and hyperspectral-derived vegetation indices to assess the response of sweet maize (Zea mays var. saccharata L.) to different water and nitrogen inputs. A field experiment was carried
Externí odkaz:
https://doaj.org/article/3b013868a5404db599cdeb53e71a768a
Akademický článek
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Akademický článek
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Autor:
Andrea Genangeli, Giovanni Avola, Marco Bindi, Claudio Cantini, Francesco Cellini, Ezio Riggi, Beniamino Gioli
Publikováno v:
Sensors, Vol 23, Iss 24, p 9685 (2023)
The development of spectral sensors (SSs) capable of retrieving spectral information have opened new opportunities to improve several environmental and agricultural practices, e.g., crop breeding, plant phenotyping, land use monitoring, and crop clas
Externí odkaz:
https://doaj.org/article/2a8f390c38bf4b7cad67ba949b64d0c3
Autor:
Pavel A. Dmitriev, Boris L. Kozlovsky, Anastasiya A. Dmitrieva, Vishnu D. Rajput, Tatiana M. Minkina, Tatiana V. Varduni
Publikováno v:
Environmental Challenges, Vol 9, Iss , Pp 100619- (2022)
Solving the problem of global climate change requires an integrated approach, including the use of the phytochorological method. Remote sensing is the best option for monitoring changes in the boundaries of plant ranges. However, the problem of speci
Externí odkaz:
https://doaj.org/article/5285e6c185b34fd5b876dbf4083f66c1