Results 11 to 20 of about 937,320 (261)
Meteorological Monographs, 2017 Abstract State-of-the-art remote sensing techniques applicable to the investigation of ice formation and evolution are described. Ground-based and spaceborne measurements with lidar, radar, and radiometric techniques are discussed together with a global view on past and ongoing remote sensing measurement campaigns concerned with the ...
Francis Lyall, Paul B. Larsen
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Applied and Environmental Soil Science, 2011 Remote sensing has shown a high potential in soil characteristics retrieving in the last three decades. Different methodologies have been proposed for the estimation of soil parameters, based on different remote sensing sensors and techniques (passive and active).
Zribi, Mehrez, Baghdadi, N., Nolin, M.
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3D remote sensing and urban remote sensing [PDF]
International Journal of Remote Sensing, 2016 The three-dimensional (3D) shape of the Earth is of major importance for many remote-sensing applications.
Mattia Crespi +3 more
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Editorial: Remote Sensing for Aquaculture [PDF]
Frontiers in Marine Science, 2021 International ...
Gernez, Pierre +3 more
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Remote Sensing for Biodiversity [PDF]
, 2016 Remote sensing (RS)---taking images or other measurements of Earth from above---provides a unique perspective on what is happening on the Earth and thus plays a special role in biodiversity and conservation applications. The periodic repeat coverage of satellite-based RS is particularly useful for monitoring change and so is essential for understanding
Matthew Colloff +17 more
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Global inequality remotely sensed [PDF]
Proceedings of the National Academy of Sciences, 2021 Significance Reliable data on economic inequality are largely limited to North America and Western Europe. As a result, we know the least about areas where inequality presents the most serious developmental policy challenge. We demonstrate that spatial variation in night-light emitted per person can reflect the distribution of income.
Bas van Bavel +5 more
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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Acknowledgment to Reviewers of Remote Sensing in 2020
Remote Sensing, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Remote Sensing maintains its standards for the high quality of its published papers [...]
Remote Sensing Editorial Office
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Acknowledgment to the Reviewers of Remote Sensing in 2022
Remote Sensing, 2023 High-quality academic publishing is built on rigorous peer review [...]
Remote Sensing Editorial Office
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Remote Sensing, 2015 The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...]
Remote Sensing Editorial Office
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