Investigation of SMAP Fusion Algorithms With Airborne Active and Passive L-Band Microwave Remote Sensing

Montzka, Carsten; Jagdhuber, Thomas; Horn, Ralf; Bogena, Heye; Hajnsek, Irena; Reigber, Andreas; Vereecken, Harry

doi:10.1109/tgrs.2016.2529659

Cited by 69 publications

(50 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this method, the radar backscatter data were used to downscale the brightness temperature data first, from which the high‐resolution soil moisture was then retrieved. However, this method requires the high‐resolution ancillary data such as temperature and vegetation water content for the further retrieval of soil moisture. Fusion of soil moisture products from a passive and an active sensor: Montzka et al [] disaggregated the radiometer soil moisture product directly with radar soil moisture product and suggested that the direct fusion of active/passive soil moisture product was related to a simplified wavelet‐based image enhancement method [ Aiazzi et al , ].…”

Section: Downscaling Methodsmentioning

confidence: 99%

“…3. Fusion of soil moisture products from a passive and an active sensor: Montzka et al [2016] disaggregated the radiometer soil moisture product directly with radar soil moisture product and suggested that the direct fusion of active/passive soil moisture product was related to a simplified wavelet-based image enhancement method [Aiazzi et al, 2002].…”

Section: Downscaling Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A review of spatial downscaling of satellite remotely sensed soil moisture

Peng

Loew

Merlin

et al. 2017

Reviews of Geophysics

535

305

View full text Add to dashboard Cite

Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote sensing data, are typically not suitable for regional hydrological and agricultural applications such as irrigation management and flood predictions, due to their coarse spatial resolution. Therefore, various downscaling methods have been proposed to improve the coarse resolution soil moisture products. The purpose of this paper is to review existing methods for downscaling satellite remotely sensed soil moisture. These methods are assessed and compared in terms of their advantages and limitations. This review also provides the accuracy level of these methods based on published validation studies. In the final part, problems and future trends associated with these methods are analyzed.

show abstract

Section: Downscaling Methodsmentioning

confidence: 99%

Section: Downscaling Methodsmentioning

confidence: 99%

A review of spatial downscaling of satellite remotely sensed soil moisture

Peng

Loew

Merlin

et al. 2017

Reviews of Geophysics

535

305

View full text Add to dashboard Cite

show abstract

“…In accordance with these local hydrogeological and climatic differences, land use and vegetation is clearly distinguishable: Forest and grassland characterize the south, whereas in the north fertile agricultural land predominates [76][77][78]. Soils can be locally very heterogeneous due to their origin in floodplain deposits and loess [79].…”

Section: Tereno Site Rur Catchmentmentioning

confidence: 95%

“…The Rur catchment is part of the Terrestrial Environmental Observatories (TERENO) network [80,81]. Several point-scale soil moisture sensors have been already used to evaluate airborne active and passive L-band retrievals [18,78,82] and to validate SMOS [18,83], ASCAT [83], and AMSR2 products [14]. Data are available from the International Soil Moisture Network (ISMN) [39] and the TEODOOR data base [84], and is directly delivered to NASA for SMAP validation [85].…”

Section: Tereno Site Rur Catchmentmentioning

confidence: 99%

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The height of the vegetation layer for grassland and cropland areas is lower and it mainly consists of leaves. The composition of the vegetation layer significantly affects the amount of volume scattering [41] and the degree of depolarization of the microwave signal [34]. However, the IGBP land cover product can only be used as a very generalized classification of vegetation structure, as there may be differences within one land cover class, for example, due to differences between different plant species or due to differences in the age of vegetation.…”

Section: A Global Relationship For σ H V and Vodmentioning

confidence: 99%

Relationship Between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter From Multiyear Aquarius Observations

Rötzer

Montzka

Entekhabi

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

View full text Add to dashboard Cite

Abstract-Soil moisture retrieval algorithms based on passive microwave remote sensing observations need to account for vegetation attenuation and emission, which is generally parameterized as vegetation optical depth (VOD). This multisensor study tests a new method to retrieve VOD from cross-polarized radar backscattering coefficients. Three years of Aquarius/SAC-D data were used to establish a relationship between the cross-polarized backscattering coefficient σ H V and VOD derived from a multitemporal passive dual-channel algorithm (VOD M T ). The dependence of the correspondence is analyzed for different land use classes. There are no systematic differences in the slope for woody versus nonwoody vegetation, resulting in a strong correlation (80% explainedvariance) and a global linear relationship when all classes are combined. The relationship is stable over the years of observations. The comparison of the Aquarius-derived VOD M T to Soil Moisture and Ocean Salinity's multi-angular VOD estimates shows similar spatial patterns and temporal behavior, evident in high correlations. However, VOD M T has considerably higher mean values, but lower dynamic range globally. Most of the differences can be attributed to differences in instrument sampling. The main result of this study, a relationship between backscatter and VOD, will permit high-resolution mapping of VOD with synthetic aperture radar measurements. These maps allow future studies of scaling and heterogeneity effects of vegetation on soil moisture retrieval at the coarser scales of land microwave radiometry. The study shows that VOD based on passive measurements and predicted by active measurements are comparable globally and that the breakdown by land cover classification does not affect the relationship appreciably. Manuscript

show abstract

Investigation of SMAP Fusion Algorithms With Airborne Active and Passive L-Band Microwave Remote Sensing

Cited by 69 publications

References 79 publications

A review of spatial downscaling of satellite remotely sensed soil moisture

A review of spatial downscaling of satellite remotely sensed soil moisture

Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes

Relationship Between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter From Multiyear Aquarius Observations

Contact Info

Product

Resources

About