José Martínez-Fernández

Dr. José Martínez-Fernández

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Andreas CollianderAndreas Colliander
Andreas Colliander
TJT.J. Jackson
T.J. Jackson
RBR. Bindlish
R. Bindlish
SCS. Chan
S. Chan
NDN. Das
N. Das
SYS. Yueh
S. Yueh

25 May 2016 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
SCSteven K. Chan
Steven K. Chan
RBRajat Bindlish
Rajat Bindlish
POPeggy E. O'NEill
Peggy E. O'NEill
ENEni Njoku
Eni Njoku
TJTom Jackson
Tom Jackson
Yann KERRYann KERR
Yann KERR
The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) satellite mission was launched on January 31, 2015. The observatory was developed to provide global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using an L-band (active) radar and an L-band (passive) radiometer. After an irrecoverable hardware failure of the radar on July 7, 2015, the radiometer-only soil moisture product became the only operational soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 km Earth-fixed grid produced using brightness temperature observations from descending passes. Within months after the commissioning of the SMAP radiometer, the product was assessed to have attained preliminary (beta) science quality, and data were released to the public for evaluation in September 2015. The product is available from the NASA Distributed Active Archive Center at the National Snow and Ice Data Center. This paper provides a summary of the Level 2 Passive Soil Moisture Product (L2_SM_P) and its validation against in situ ground measurements collected from different data sources. Initial in situ comparisons conducted between March 31, 2015 and October 26, 2015, at a limited number of core validation sites (CVSs) and several hundred sparse network points, indicate that the V-pol Single Channel Algorithm (SCA-V) currently delivers the best performance among algorithms considered for L2_SM_P, based on several metrics. The accuracy of the soil moisture retrievals averaged over the CVSs was 0.038 m 3 /m 3 unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 m 3 /m 3 .

1 December 2011 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Luca BroccaLuca Brocca
Luca Brocca
SHS. Hasenauer
S. Hasenauer
Teodosio LacavaTeodosio Lacava
Teodosio Lacava
FMF. Melone
F. Melone
Tommaso MoramarcoTommaso Moramarco
Tommaso Moramarco
MBM. Bittelli
M. Bittelli

9 November 2021 in Hydrology and Earth System Sciences
Verified
Journal Article
Open access
PDF file
WDWouter Dorigo
Wouter Dorigo
IHIrene Himmelbauer
Irene Himmelbauer
DADaniel Aberer
Daniel Aberer
LSLukas Schremmer
Lukas Schremmer
IPIvana Petrakovic
Ivana Petrakovic
RSRoberto Sabia
Roberto Sabia
In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et al., 2011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28 October 2021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000 active users and over 1000 scientific publications referencing the data sets provided by the network. As of July 2021, the ISMN now contains the data of 71 networks and 2842 stations located all over the globe, with a time period spanning from 1952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70 % of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

1 January 2018 in Remote Sensing of Environment
Verified
Journal Article
Closed access
SCS.K. Chan
S.K. Chan
RBR. Bindlish
R. Bindlish
POP. O'NEill
P. O'NEill
TJT. Jackson
T. Jackson
ENE. Njoku
E. Njoku
Yann KERRYann KERR
Yann KERR

1 March 1997 in CATENA
Verified
Journal Article
Closed access
CKC. Kosmas
C. Kosmas
NDN. Danalatos
N. Danalatos
LCL.H. Cammeraat
L.H. Cammeraat
MCM. Chabart
M. Chabart
JDJ. Diamantopoulos
J. Diamantopoulos
AVAndrea Vacca
Andrea Vacca