0000000000742728

AUTHOR

Anita Fink

showing 2 related works from this author

Estimation of vegetation loss coefficients and canopy penetration depths from SMAP radiometer and IceSAT lidar data

2017

In this study the framework of the τ — ω model is used to derive vegetation loss coefficients and canopy penetration depths from SMAP multi-temporal retrievals of vegetation optical depth, single scattering albedo and ICESat lidar vegetation heights. The vegetation loss coefficients serve as a global indicator of how strong absorption and scattering processes attenuate L-band microwave radiation. By inverting the vegetation loss coefficients, penetration depths into the canopy can be obtained, which are displayed for the global forest reservoirs. A simple penetration index is formed combining vegetation heights and penetration depth estimates. The distribution and level of this index reveal…

Canopyloss coefficientsLidarRadiometer010504 meteorology & atmospheric sciencesSingle-scattering albedoAttenuation0208 environmental biotechnologyFOS: Physical sciences02 engineering and technologyPenetration (firestop)SMAP15. Life on land01 natural sciences020801 environmental engineeringPhysics - Atmospheric and Oceanic PhysicsLidarGeographyPenetration depthAtmospheric and Oceanic Physics (physics.ao-ph)Penetration depthWater contentICESat0105 earth and related environmental sciencesRemote sensing
researchProduct

Estimating Gravimetric Moisture of Vegetation Using an Attenuation-Based Multi-Sensor Approach

2018

Estimating parameters for global climate models via combined active and passive microwave remote sensing data has been a subject of intensive research in recent years. A variety of retrieval algorithms has been proposed for the estimation of soil moisture, vegetation optical depth and other parameters. A novel attenuation-based retrieval approach is proposed here to globally estimate the gravimetric moisture of vegetation (m g ) and retrieve information about the amount of water [kg] per amount of wet vegetation [kg]. The parameter m g is particularly interesting for agro-ecosystems, to assess the status of growing vegetation. The key feature of the proposed approach is that it relies on mu…

010504 meteorology & atmospheric sciencesgravimetric moisture0211 other engineering and technologies02 engineering and technology01 natural scienceslaw.inventionlawVegetation optical depthRadarWater contentattenuation021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLidarRadarVegetationMoistureAttenuationMicrowave radiometerVegetationSMAPMulti-sensorLidarGravimetric analysisRadiometer
researchProduct