Backscattering From the Near-Surface Layer of Thawed/Frozen Soils of Alaska From Sentinel 1 Radar Data

Родионова, Н. В.

doi:10.17725/rensit.2019.11.021

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Sheng et al, 2019;Helgert and Khodayar, 2020) or directly derive soil moisture from high-resolution synthetic aperture satellites like Sentinel-1 (e.g. Rodionova, 2019b;Foucras et al, 2020). It should be noted that the ISMN and its contributing networks are mostly designed for analysing time series, thus lacking reference data to assess spatial patterns in the data, particularly in high-resolution products (de Jeu and .…”

Section: Scientific Studiesmentioning

confidence: 99%

The International Soil Moisture Network: serving Earth system science for over a decade

Dorigo

Himmelbauer

Aberer

et al. 2021

Hydrol. Earth Syst. Sci.

190

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Abstract. 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.

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Section: Scientific Studiesmentioning

confidence: 99%

The International Soil Moisture Network: serving Earth system science for over a decade

Dorigo

Himmelbauer

Aberer

et al. 2021

Hydrol. Earth Syst. Sci.

190

View full text Add to dashboard Cite

show abstract

“…Recently, the ISMN was recognised as validation source for testing algorithms to derive soil moisture from Global Navigation Satellite Systems (GNSS; e.g., ; Chew and Small (2020). Similarly, there is an increasing trend in the use of ISMN data for the validation of novel high-resolution satellite soil moisture products, which either downscalfe coarse-resolution products through the use of other finer resolution satellite or ancillary data (e.g., Sheng et al (2019); Helgert and Khodayar (2020)), or directly derive soil moisture from high-resolution Synthetic Aperture Aperture satellites like Sentinel-1 (e.g., Rodionova (2019b); Foucras et al (2020)). It should be noted that the ISMN and its contributing networks are mostly designed for analysing time series, thus lacking reference data to assess spatial patterns in the data, particularly in high-resolution products (de Jeu and Dorigo, 2016).…”

Section: Scientific Studiesmentioning

confidence: 99%

Reply on RC1

Dorigo

2021

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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, harmonizes them in terms of units and sampling rates, applies advanced quality control, and stores them in a Ground-based soil moisture measurements of land surface variables are indispensable in the process of developing, validating, and advancing spatially contiguous data sets derived from satellites or models (Loew et al., 2017;Gruber et al., 2020). Although the first systematic measurements of soil moisture started well before the satellite era in the former Soviet Union to support agricultural decision making (Robock et al., 2000), it was not until the early 2000s that soil moisture monitoring networks started being widely established as part of hydrological and meteorological observing capacities. Particularly, the launch of the Soil Moisture Ocean Salinity (SMOS) mission of the European Space Agency (ESA) in 2009 (Kerr et al., 2016), and the launch of the Soil Moisture Active Passive (SMAP) mission of the National Aeronautics and Space Administration (NASA) in 2015 (Entekhabi et al., 2010), boosted the establishment of new research networks (Colliander et al., 2017).While all networks are a valuable asset for assessing the skill of soil moisture products under various conditions and scales, their usage is hampered by the diversity of sensors, data formats, quality control, and accessibility mechanisms. The need of bringing together and harmonising available soil moisture data was recognised by the international soil moisture community and expedited by the Global Energy and Water cycle Exchanges (GEWEX) project of the World Climate Research Programme (WCRP) with support of the Commission on Earth Observation Satellites (CEOS), the Global Climate Observing System (GCOS), and the Group on Earth Observation (GEO). In the advent of the SMOS mission, ESA decided to provide the financial impetus to establish a global reference database of in situ soil moisture measurements for the purpose of satellite product development and validation. As a result, the International Soil Moisture Network (ISMN) went online in 2010 (Dorigo et al., 2011b, a).The primary objective of the ISMN is to collect in situ soil moisture data sets shared by various data organisations on a voluntary basis and make them available in a harmonized format through a centralised free and open web portal (ismn.earth).While 10 years after its launch the core objective of the ISMN remains valid, its functionality has expanded since then. This new functionality includes the integration of advanced quality control methods (Dorigo et al., 2013), the provision of additional metadata and ancillary variables (e.g., precipitation, soil and air temperature), ongoing automation, the ...

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“…Before, the temperature dependence of the backscattering coefficient, measured by Sentinel-1 and Radarsat, for mineral soils of moderate latitudes was studied in [7], [8] and for Arctic region [9]; for the Arctic region, studies like that were not performed in L-band.…”

Section: Introductionmentioning

confidence: 99%

Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil.

Muzalevskiy¹

2019

JRE

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In this paper, dependences of backscattering coefficient on Arctic tundra soil temperature were investigated. The backscattering coefficient was measured by ALOS PALSAR (1.3GHz) over areas near to Imnaviat weather station in the North Slope of Alaska in the period from . It has been experimentally and theoretically shown that there is a strong correlation relationship no worse than 0.76 between the surface soil temperature measured by weather stations and backscattering coefficient. The variations of the backscattering coefficient was found to be about 5-6 dB over the test site when soil surface temperature changes from -10С to 10С. This study contributes to further understanding the processes of scattering of frozen Arctic soils that is pertinent to developing new remote sensing algorithms for the permafrost region.

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Backscattering From the Near-Surface Layer of Thawed/Frozen Soils of Alaska From Sentinel 1 Radar Data

Cited by 4 publications

References 7 publications

The International Soil Moisture Network: serving Earth system science for over a decade

The International Soil Moisture Network: serving Earth system science for over a decade

Reply on RC1

Temperature dependence of the backscattering coefficient measured by ALOS PALSAR during cooling and heating of tundra topsoil.

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