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Deep learning models map rapid plant species changes from citizen science and remote sensing data. [PDF]

Proc Natl Acad Sci U S A
Gillespie LE, Ruffley M, Exposito-Alonso M.   +2 more
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Remote sensing and in-situ data

, 2019
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INFORMATION PROCESSING OF REMOTE‐SENSING DATA

Journal of Documentation, 1987
For some time past satellites have been orbiting the Earth and sending back images of it to ground stations. These remote‐sensing images are now accumulating in large numbers: present plans for satellite launches indicate that the growth rate will continue to rise further into the 1990s.
P. A. M. Berry, A. J. Meadows
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Multitask Remote Sensing Data Classification

IEEE Transactions on Geoscience and Remote Sensing, 2013
Many remote sensing data processing problems are inherently constituted by several tasks that can be solved either individually or jointly. For instance, each image in a multitemporal classification setting could be taken as an individual task. Here, the relation to previous acquisitions should be properly considered because of the nonstationary ...
José M. Leiva-Murillo, Luis Gómez-Chova, Gustavo Camps-Valls   +2 more
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Analytic inversion of remote-sensing data

Applied Optics, 1982
An analytic method for inversion problems of the Fredholm integral type is developed. The application of this formalism to error analysis and optimal experimental design is discussed. Finally, results from this method for a simulated experiment are compared with other commonly used inversion techniques.
C D, Capps, R L, Henning, G M, Hess
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Wavelet coding for remote sensed data

Proceedings of Data Compression Conference - DCC '96, 2002
Space missions are increasingly requiring high resolution imagery and, hence, high data compression-two tasks which are inherently incompatible. A tradeoff must, therefore, be made between the available bandwidth and achievable resolution. An efficient visual communication channel-the process from image acquisition to image display-is key to the ...
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Geographic applications of remotely sensed data

Proceedings of the IEEE, 1985
The application of remote sensing to the study of geography as spatially distributed phenomena began in the late 1800s when German foresters used photography taken from a balloon to produce forest maps. Since this early beginning researchers and professionals in government, industry, and educational institutions have become increasingly aware of the ...
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NEAR-LOSSLESS COMPRESSION OF REMOTE-SENSING DATA

2003
This paper describes data compression algorithms capable to preserve the scientific quality of remote-sensing data, yet allowing a considerable bandwidth reduction to be achieved. Unlike lossless techniques, by which a moderate compression ratio (CR) is attainable, due to the intrinsic noisiness of the data, and conventional lossy techniques, in which ...
Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri   +3 more
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Remote sensing data assimilation

Hydrological Sciences Journal, 2020
Data assimilation (DA) offers immense potential for uncertainty identification, improving the initial estimates for hydrological and atmospheric modelling.
Akhilesh S. Nair, Rohit Mangla, Thiruvengadam P, J. Indu   +3 more
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