Zobrazeno 1 - 10
of 444
pro vyhledávání: '"Yann Kerr"'
Autor:
Jiaqi Zhang, Tianjie Zhao, Shurun Tan, Nemesio Rodriguez-Fernandez, Huazhu Xue, Na Yang, Yann Kerr, Jiancheng Shi
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 744-760 (2024)
The two vegetation transfer parameters of [Formula: see text] (Vegetation Optical Depth,VOD) and [Formula: see text] (Omega) could vary significantly across microwave channels in terms of frequencies, polarizations, and incidence angles, and their ch
Externí odkaz:
https://doaj.org/article/458ae538721e4a82886ce03d6c2a4586
Autor:
Marina Sáez, David Benavente, Soledad Cuezva, Mireille Huc, Ángel Fernández-Cortés, Arnaud Mialon, Yann Kerr, Sergio Sánchez-Moral, Sylvain Mangiarotti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract A data-driven approach insensitive to the initial conditions was developed to extract governing equations for the concentration of CO2 in the Altamira cave (Spain) and its two main drivers: the outside temperature and the soil moisture. This
Externí odkaz:
https://doaj.org/article/775473ba26cf4567b01e8faf7c672a01
Autor:
Juliette Ortet, Arnaud Mialon, Yann Kerr, Alain Royer, Aaron Berg, Julia Boike, Elyn Humphreys, François Gibon, Philippe Richaume, Simone Bircher-Adrot, Azza Gorrab, Alexandre Roy
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Soil Moisture (SM) is a key parameter in northern Arctic and sub-Arctic (A-SA) environments that are highly vulnerable to climate change. We evaluated six SM satellite passive microwave datasets using thirteen ground-based SM stations across Northwes
Externí odkaz:
https://doaj.org/article/1a781428875d42b590b6905329d9c0fb
Autor:
Foad Brakhasi, Jeffrey P. Walker, Nan Ye, Xiaoling Wu, Xiaoji Shen, In-Young Yeo, Nithyapriya Boopathi, Edward Kim, Yann Kerr, Thomas Jackson
Publikováno v:
Science of Remote Sensing, Vol 7, Iss , Pp 100079- (2023)
Precision irrigation management and crop water stress assessment rely on accurate estimation of root zone soil moisture. However, only the top 5 cm soil moisture can be estimated using the two current passive microwave satellite missions, Soil Moistu
Externí odkaz:
https://doaj.org/article/13fe2d616fa340409a0f677387e48841
Autor:
Joel T. Johnson, Kenneth C. Jezek, Giovanni Macelloni, Marco Brogioni, Leung Tsang, Emmanuel P. Dinnat, Jeffrey P. Walker, Nan Ye, Sidharth Misra, Jeffrey R. Piepmeier, Rajat Bindlish, David M. LeVine, Peggy E. OaNeill, Lars Kaleschke, Mark J. Andrews, Caglar Yardim, Mustafa Aksoy, Michael Durand, Chi-Chih Chen, Oguz Demir, Alexandra Bringer, Julie Z. Miller, Shannon T. Brown, Ron Kwok, Tong Lee, Yann Kerr, Dara Entekhabi, Jinzheng Peng, Andreas Colliander, Steven Chan, Joseph A. MacGregor, Brooke Medley, Roger DeRoo, Mark Drinkwater
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4894-4914 (2021)
Microwave radiometry has provided valuable spaceborne observations of Earth's geophysical properties for decades. The recent SMOS, Aquarius, and SMAP satellites have demonstrated the value of measurements at 1400 MHz for observing surface soil moistu
Externí odkaz:
https://doaj.org/article/d4cddc5f12944abcaee3b9c5d421f227
Autor:
Ayan Santos Fleischmann, Ahmad Al Bitar, Aline Meyer Oliveira, Vinícius Alencar Siqueira, Bibiana Rodrigues Colossi, Rodrigo Cauduro Dias de Paiva, Yann Kerr, Anderson Ruhoff, Fernando Mainardi Fan, Paulo Rógenes Monteiro Pontes, Walter Collischonn
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3256 (2021)
Hydrological models are useful tools for water resources studies, yet their calibration is still a challenge, especially if aiming at improved estimates of multiple components of the water cycle. This has led the hydrologic community to look for ways
Externí odkaz:
https://doaj.org/article/8886ce94970444db884e07feab491b0d
Autor:
Sat Kumar Tomer, Ahmad Al Bitar, Muddu Sekhar, Mehrez Zribi, S. Bandyopadhyay, K. Sreelash, A.K. Sharma, Samuel Corgne, Yann Kerr
Publikováno v:
Remote Sensing, Vol 7, Iss 6, Pp 8128-8153 (2015)
The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-temporal Synthetic Aperture Radar (SAR) data. The developed algorithm is based on the Cumulative Density Function (CDF) transformation of multi-temporal RADARSA
Externí odkaz:
https://doaj.org/article/6c807de4cad84c47a3e5a7b6c2bf4d92
Autor:
Shu Wang, Jean-Pierre Wigneron, Ling-Mei Jiang, Marie Parrens, Xiao-Yong Yu, Amen Al-Yaari, Qin-Yu Ye, Roberto Fernandez-Moran, Wei Ji, Yann Kerr
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 5734-5757 (2015)
Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects
Externí odkaz:
https://doaj.org/article/9333c6e557f74389bd2a35ffe213853b
Autor:
Nemesio Rodríguez-Fernández, Patricia de Rosnay, Clement Albergel, Philippe Richaume, Filipe Aires, Catherine Prigent, Yann Kerr
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1334 (2019)
The assimilation of Soil Moisture and Ocean Salinity (SMOS) data into the ECMWF (European Centre for Medium Range Weather Forecasts) H-TESSEL (Hydrology revised-Tiled ECMWF Scheme for Surface Exchanges over Land) model is presented. SMOS soil moistur
Externí odkaz:
https://doaj.org/article/cf15d62e39c04076a8a14ea6fcfbda15
Autor:
Gianpaolo Balsamo, Anna Agusti-Panareda, Clement Albergel, Gabriele Arduini, Anton Beljaars, Jean Bidlot, Eleanor Blyth, Nicolas Bousserez, Souhail Boussetta, Andy Brown, Roberto Buizza, Carlo Buontempo, Frédéric Chevallier, Margarita Choulga, Hannah Cloke, Meghan F. Cronin, Mohamed Dahoui, Patricia De Rosnay, Paul A. Dirmeyer, Matthias Drusch, Emanuel Dutra, Michael B. Ek, Pierre Gentine, Helene Hewitt, Sarah P.E. Keeley, Yann Kerr, Sujay Kumar, Cristina Lupu, Jean-François Mahfouf, Joe McNorton, Susanne Mecklenburg, Kristian Mogensen, Joaquín Muñoz-Sabater, Rene Orth, Florence Rabier, Rolf Reichle, Ben Ruston, Florian Pappenberger, Irina Sandu, Sonia I. Seneviratne, Steffen Tietsche, Isabel F. Trigo, Remko Uijlenhoet, Nils Wedi, R. Iestyn Woolway, Xubin Zeng
Publikováno v:
Remote Sensing, Vol 11, Iss 8, p 941 (2019)
The authors wish to make the following corrections to this paper [...]
Externí odkaz:
https://doaj.org/article/6b0acba2eb994d019fc0d4d611311ca8