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Your search keyword '"Chabrillat, Sabine"' showing total 21 results
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21 results on '"Chabrillat, Sabine"'

2. SNOWTRAN: A Fast Radiative Transfer Model for Polar Hyperspectral Remote Sensing Applications.

Author

Kokhanovsky, Alexander, Brell, Maximilian, Segl, Karl, and Chabrillat, Sabine

Subjects
RADIATIVE transfer equation, RADIATIVE transfer, PRECIPITABLE water, LIGHT transmission, SPECTRAL reflectance, OPTICAL receivers, REMOTE sensing
Abstract

In this work, we develop a software suite for studies of atmosphere–underlying SNOW-spaceborne optical receiver light TRANsmission calculations (SNOWTRAN) with applications for the solution of forward and inverse radiative transfer problems in polar regions. Assuming that the aerosol load is extremely low, the proposed theory does not require the numerical procedures for the solution of the radiative transfer equation and is based on analytical equations for the spectral nadir reflectance and simple approximations for the local optical properties of atmosphere and snow. The developed model is validated using EnMAP and PRISMA spaceborne imaging spectroscopy data close to the Concordia research station in Antarctica. A new, fast technique for the determination of the snow grain size and assessment of the snowpack vertical inhomogeneity is then proposed and further demonstrated on EnMAP imagery over the Aviator Glacier and in the vicinity of the Concordia research station in Antarctica. The results revealed a large increase in precipitable water vapor at the Concordia research station in February 2023 that was linked to a warming event and a four times larger grain size at Aviator Glacier compared with Dome C. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022, 14, 740

Author

Demattê, José A. M., primary, Paiva, Ariane Francine da Silveira, additional, Poppiel, Raul Roberto, additional, Rosin, Nícolas Augusto, additional, Ruiz, Luis Fernando Chimelo, additional, Mello, Fellipe Alcantara de Oliveira, additional, Minasny, Budiman, additional, Grunwald, Sabine, additional, Ge, Yufeng, additional, Dor, Eyal Ben, additional, Gholizadeh, Asa, additional, Gomez, Cecile, additional, Chabrillat, Sabine, additional, Francos, Nicolas, additional, Ayoubi, Shamsollah, additional, Fiantis, Dian, additional, Biney, James Kobina Mensah, additional, Wang, Changkun, additional, Belal, Abdelaziz, additional, Naimi, Salman, additional, Hafshejani, Najmeh Asgari, additional, Bellinaso, Henrique, additional, Moura-Bueno, Jean Michel, additional, and Silvero, Nélida E. Q., additional

Published
2022
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6. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

Author

Demattê, José A. M., primary, Paiva, Ariane Francine da Silveira, additional, Poppiel, Raul Roberto, additional, Rosin, Nícolas Augusto, additional, Ruiz, Luis Fernando Chimelo, additional, Mello, Fellipe Alcantara de Oliveira, additional, Minasny, Budiman, additional, Grunwald, Sabine, additional, Ge, Yufeng, additional, Ben Dor, Eyal, additional, Gholizadeh, Asa, additional, Gomez, Cecile, additional, Chabrillat, Sabine, additional, Francos, Nicolas, additional, Ayoubi, Shamsollah, additional, Fiantis, Dian, additional, Biney, James Kobina Mensah, additional, Wang, Changkun, additional, Belal, Abdelaziz, additional, Naimi, Salman, additional, Hafshejani, Najmeh Asgari, additional, Bellinaso, Henrique, additional, Moura-Bueno, Jean Michel, additional, and Silvero, Nélida E. Q., additional

Published
2022
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8. Remote Sensing for Soil Organic Carbon Mapping and Monitoring.

Author

van Wesemael, Bas, Chabrillat, Sabine, Sanz Dias, Adrian, Berger, Michael, and Szantoi, Zoltan

Subjects
*REMOTE sensing, *CARBON in soils, *BLACK cotton soil, *HUMUS, *DIGITAL soil mapping, *GROUND cover plants
Abstract

Remote sensing soil properties in a coherent manner is now feasible from regional to global scales. Xu et al. [[10]] showed that soil-probe contact measurements resulted in the optimum spectral quality and estimation accuracy; that sieving the soil sample into particle sizes below 1 mm and drying before spectral measurement effectively enhanced spectral quality and estimation accuracy; and that the variation in soil temperature did not have a distinct influence on spectral quality. As the change in soil organic carbon (SOC) over time is an important indicator of soil health and for CO SB 2 sb sequestration, the determination and mapping of SOC content from optical Earth observation sensors is currently an area of rigorous research. [Extracted from the article]

Published
2023
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19. The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

Author

Guanter, Luis, primary, Kaufmann, Hermann, additional, Segl, Karl, additional, Foerster, Saskia, additional, Rogass, Christian, additional, Chabrillat, Sabine, additional, Kuester, Theres, additional, Hollstein, André, additional, Rossner, Godela, additional, Chlebek, Christian, additional, Straif, Christoph, additional, Fischer, Sebastian, additional, Schrader, Stefanie, additional, Storch, Tobias, additional, Heiden, Uta, additional, Mueller, Andreas, additional, Bachmann, Martin, additional, Mühle, Helmut, additional, Müller, Rupert, additional, Habermeyer, Martin, additional, Ohndorf, Andreas, additional, Hill, Joachim, additional, Buddenbaum, Henning, additional, Hostert, Patrick, additional, van der Linden, Sebastian, additional, Leitão, Pedro, additional, Rabe, Andreas, additional, Doerffer, Roland, additional, Krasemann, Hajo, additional, Xi, Hongyan, additional, Mauser, Wolfram, additional, Hank, Tobias, additional, Locherer, Matthias, additional, Rast, Michael, additional, Staenz, Karl, additional, and Sang, Bernhard, additional

Published
2015
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21. The Brazilian S oil S pectral S ervice (BraSpecS): A User-Friendly System for Global Soil Spectra Communication.

Author

Demattê, José A. M., Paiva, Ariane Francine da Silveira, Poppiel, Raul Roberto, Rosin, Nícolas Augusto, Ruiz, Luis Fernando Chimelo, Mello, Fellipe Alcantara de Oliveira, Minasny, Budiman, Grunwald, Sabine, Ge, Yufeng, Ben Dor, Eyal, Gholizadeh, Asa, Gomez, Cecile, Chabrillat, Sabine, Francos, Nicolas, Ayoubi, Shamsollah, Fiantis, Dian, Biney, James Kobina Mensah, Wang, Changkun, Belal, Abdelaziz, and Naimi, Salman

Subjects
SOILS, SOIL classification, CLAY, SOIL testing
Abstract

Although many Soil Spectral Libraries (SSLs) have been created globally, these libraries still have not been operationalized for end-users. To address this limitation, this study created an online Brazilian Soil Spectral Service (BraSpecS). The system was based on the Brazilian Soil Spectral Library (BSSL) with samples collected in the Visible–Near–Short-wave infrared (vis–NIR–SWIR) and Mid-infrared (MIR) ranges. The interactive platform allows users to find spectra, act as custodians of the data, and estimate several soil properties and classification. The system was tested by 500 Brazilian and 65 international users. Users accessed the platform (besbbr.com.br), uploaded their spectra, and received soil organic carbon (SOC) and clay content prediction results via email. The BraSpecS prediction provided good results for Brazilian data, but performed variably for other countries. Prediction for countries outside of Brazil using local spectra (External Country Soil Spectral Libraries, ExCSSL) mostly showed greater performance than BraSpecS. Clay R2 ranged from 0.5 (BraSpecS) to 0.8 (ExCSSL) in vis–NIR–SWIR, but BraSpecS MIR models were more accurate in most situations. The development of external models based on the fusion of local samples with BSSL formed the Global Soil Spectral Library (GSSL). The GSSL models improved soil properties prediction for different countries. Nevertheless, the proposed system needs to be continually updated with new spectra so they can be applied broadly. Accordingly, the online system is dynamic, users can contribute their data and the models will adapt to local information. Our community-driven web platform allows users to predict soil attributes without learning soil spectral modeling, which will invite end-users to utilize this powerful technique. [ABSTRACT FROM AUTHOR]

Published
2022
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