Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Nemesio Rodriguez-Fernandez"'
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:
Emna Ayari, Mehrez Zribi, Zohra Lili-Chabaane, Zeineb Kassouk, Lionel Jarlan, Nemesio Rodriguez-Fernandez, Nicolas Baghdadi
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACTSoil moisture estimation is a key component in hydrological processes and irrigation amounts' estimation. The synergetic use of optical and radar data has been proven to retrieve the surface soil moisture at a field scale using the Water Clou
Externí odkaz:
https://doaj.org/article/1e73cf30737141388000f0401ab1e10a
Autor:
Paul Krzakala, Amine Assouel, Max Dunitz, Eric Anterrieu, Francois Cabot, Ali Khazaal, Nemesio Rodriguez-Fernandez, Bernard Rouge, Jean-Michel Morel, Yann H. Kerr, Miguel Colom
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 9408-9423 (2021)
We address the optimization problem of antenna placement on satellite-mounted interferometric synthetic-aperture instruments. In classic designs, the antennas on satellites are aligned regularly on the satellite’s frame. Inspired by methods propose
Externí odkaz:
https://doaj.org/article/67d5036997ff46df8d13418d307ed40b
Autor:
Jingyao Zheng, Haishen Lü, Wade T. Crow, Tianjie Zhao, Olivier Merlin, Nemesio Rodriguez-Fernandez, Jiancheng Shi, Yonghua Zhu, Jianbin Su, Chuen Siang Kang, Xiaoyi Wang, Qiqi Gou
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 104, Iss , Pp 102530- (2021)
Remotely sensed soil moisture (SM) with the enhanced spatial resolution (several kilometers or even tens of meters) is of value for important local applications like irrigation scheduling and farm-scale water management. The Disaggregation based on P
Externí odkaz:
https://doaj.org/article/644e08e793a14b69a3c65cfc3765a222
Autor:
Simon Nativel, Emna Ayari, Nemesio Rodriguez-Fernandez, Nicolas Baghdadi, Remi Madelon, Clement Albergel, Mehrez Zribi
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2434 (2022)
Soil moisture is an essential parameter for a better understanding of water processes in the soil–vegetation–atmosphere continuum. Satellite synthetic aperture radar (SAR) is well suited for monitoring water content at fine spatial resolutions on
Externí odkaz:
https://doaj.org/article/c226e117e3dc4d5fac7719db3ef49d55
Autor:
Thierry Pellarin, Alexandre Zoppis, Carlos Román-Cascón, Yann H. Kerr, Nemesio Rodriguez-Fernandez, Geremy Panthou, Nathalie Philippon, Jean-Martial Cohard
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 746 (2022)
Several recent studies have shown that knowledge of the spatiotemporal dynamics of soil moisture intrinsically contains information on precipitation. In this study, we show how SMOS measurements can be used to generate a near-real-time precipitation
Externí odkaz:
https://doaj.org/article/cc12f84dd13849bdaf32965c79436573
Autor:
Mendy van der Vliet, Robin van der Schalie, Nemesio Rodriguez-Fernandez, Andreas Colliander, Richard de Jeu, Wolfgang Preimesberger, Tracy Scanlon, Wouter Dorigo
Publikováno v:
Remote Sensing, Vol 12, Iss 20, p 3439 (2020)
Reliable soil moisture retrievals from passive microwave satellite sensors are limited during certain conditions, e.g., snow coverage, radio-frequency interference, and dense vegetation. In these cases, the retrievals can be masked using flagging alg
Externí odkaz:
https://doaj.org/article/2c735c36f541419c993763a9deb08565
Autor:
Roberto Fernandez-Moran, Amen Al-Yaari, Arnaud Mialon, Ali Mahmoodi, Ahmad Al Bitar, Gabrielle De Lannoy, Nemesio Rodriguez-Fernandez, Ernesto Lopez-Baeza, Yann Kerr, Jean-Pierre Wigneron
Publikováno v:
Remote Sensing, Vol 9, Iss 5, p 457 (2017)
The main goal of the Soil Moisture and Ocean Salinity (SMOS) mission over land surfaces is the production of global maps of soil moisture (SM) and vegetation optical depth (τ) based on multi-angular brightness temperature (TB) measurements at L-band
Externí odkaz:
https://doaj.org/article/9599b4f7f6334bd4946fb6b8be670cee
Autor:
Claire Pascal, Sylvain Ferrant, Nemesio Rodriguez-Fernandez, Yann Kerr, Adrien Selles, Olivier Merlin
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 20:1-5
Autor:
François Gibon, Alexander Boresch, Irene Himmelbauer, Daniel Aberer, Raffaele Crapolicchio, Raúl Díez-García, Wouter Dorigo, Philippe Goryl, Alexander Gruber, Yann Kerr, Arnaud Mialon, Wolfgang Preimesberger, Philippe Richaume, Nemesio Rodriguez-Fernandez, Roberto Sabia, Klaus Scipal, Pietro Stradiotti, Monika Tercjak
The aim of this presentation is to report on recent advances concerning the satellite based soil moisture validation done through the ESA project “Fiducial Reference Measurement for Soil Moisture (FRM4SM)”. The main objective of this two years pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::291ddfe9f8c6e6599a62dc58567ae001
https://doi.org/10.5194/egusphere-egu23-8102
https://doi.org/10.5194/egusphere-egu23-8102