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2021 IEEE Transactions on Geoscience and Remote Sensing  
Ruan 563 Hyperspectral Sharpening Approaches Using Satellite Multiplatform Data .................................................. ......................................................................  ...  436 Hyperspectral 436 Data Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification ...................................... ....................................................  ... 
doi:10.1109/tgrs.2020.3039449 fatcat:sxee5msl55emhnszejgpf6vrpa

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary  ...  ., +, TGRS June 2019 3729-3740 Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery.  ...  Liu, B., +, TGRS June 2019 3148-3165 A Ecology Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery

M. C. Anderson, W. P. Kustas, J. M. Norman, C. R. Hain, J. R. Mecikalski, L. Schultz, M. P. González-Dugo, C. Cammalleri, G. d'Urso, A. Pimstein, F. Gao
2011 Hydrology and Earth System Sciences  
The ALEXI/DisALEXI model has potential for global applications by integrating data from multiple geostationary meteorological satellite systems, such as the US Geostationary Operational Environmental Satellites  ...  Work is underway to further evaluate multi-scale ALEXI implementations over the US, Europe, Africa and other continents with geostationary satellite coverage.  ...  Conclusions We have presented a multi-sensor, multi-scale approach to mapping ET using thermal remote sensing data from both geostationary and polar-orbiting satellite platforms.  ... 
doi:10.5194/hess-15-223-2011 fatcat:ox7sfolzs5goxdjiv6hqydhdo4

Assessing Earthquake-Induced Urban Rubble by Means of Multiplatform Remotely Sensed Data

Maurizio Pollino, Sergio Cappucci, Ludovica Giordano, Domenico Iantosca, Luigi De Cecco, Danilo Bersan, Vittorio Rosato, Flavio Borfecchia
2020 ISPRS International Journal of Geo-Information  
These endmembers were then mapped on the hyperspectral signatures of various materials acquired on site, testing different machine learning classifiers in order to assess their relative abundances.  ...  The best results were provided by the C-Support Vector Machine, which allowed us to work out the characterization of the main rubble constituents with an accuracy up to 88.8% for less mixed pixels and  ...  Acknowledgments: EO data were provided under COPERNICUS by European Union and ESA. Thanks to  ... 
doi:10.3390/ijgi9040262 fatcat:xhj5cidovrfevoxt5vt4oveloa

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
for providing the Radarsat-2, TerraSAR-X and weather data respectively.  ...  This gives us a background correlation that we use as reference to subtract from the spatial correlation in both image and far-field measurements.  ...  (Germany) using airborne hyperspectral (AISAeagle) data.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
ExtremeEarth is a European H2020 project; it aims at developing analytics techniques and technologies that combine Copernicus satellite data with information and knowledge extraction, and exploiting them  ...  This approach is also a simple way to generate benchmarking datasets that can be used for testing and validating different algorithms, and for creating additional bigger datasets for large-scale demonstrations  ...  The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

A Critical Comparison Among Pansharpening Algorithms

Gemine Vivone, Luciano Alparone, Jocelyn Chanussot, Mauro Dalla Mura, Andrea Garzelli, Giorgio A. Licciardi, Rocco Restaino, Lucien Wald
2015 IEEE Transactions on Geoscience and Remote Sensing  
Five data sets acquired by different satellites allow for a detailed comparison of the algorithms, characterization of their performances with respect to the different instruments, and consistency of the  ...  In addition, the implementation of all the pansharpening techniques considered in this paper and the framework used for running the simulations, comprising the two validation procedures and the main assessment  ...  Pansharpening has been also proposed for fusion of PAN and hyperspectral data [33] , [34] .  ... 
doi:10.1109/tgrs.2014.2361734 fatcat:2beyflzocfga3it5z7lzcippza

Establishing common standards and requirements for Earth Observation management, access and sharing:

Αβραάμ Π. Μαυρίδης
2011
It also assessed many web-GIS applications in combination with satellite data.  ...  Accumulation and presentation of material in a wider field of Earth Observation was approached, such as education, sensors, data sources etc., as well as on international initiatives such as GMES (Global  ...  SMEs are its main participants which act as front-runners and use a novel "bottom-up" policymaking approach.  ... 
doi:10.26262/heal.auth.ir.128230 fatcat:dd4msztzdfaevh6vu3to5wevoe