A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index
By Manfred Owe, Richard A. M. Jeu, Jeffrey P. Walker. IEEE Transactions on Geoscience and Remote Sensing, 2001
763 citations recorded by the source corpus.
Subfields: Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/6ee33b532ac99f65fedb3ad3241046b9aec4f8d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- A. Troccoli
- Wade T. Crow
- Thomas J. Jackson
- Sonia I. Seneviratne
- Marek Zreda
- Guoqing Zhou
- Dara Entekhabi
- Eni G. Njoku
In Environmental Engineering
- A. Troccoli
- Wade T. Crow
- Thomas J. Jackson
- Marek Zreda
- Guoqing Zhou
- Todd G. Caldwell
- Dara Entekhabi
- Eni G. Njoku
Citations in the corpus
- Assessment of the SMAP Passive Soil Moisture Product (2016, methodology): “4) Microwave Polarization Ratio Algorithm: The Microwave Polarization Ratio Algorithm (MPRA) is based on the Land Parameter Retrieval Model [32] and was first applied to multifrequency satellites such as AMSR-E.”
- Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review (2016, background): “MW & optical Minimized vegetation and surface roughness effects SMC scaling & validation needs caution, different SMC measurement depths [76]”
- Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products (2010, methodology): “The LPRM [45], [46] is a three-parameter retrieval model (soil moisture, vegetation water content, and soil/canopy”
- Hot days induced by precipitation deficits at the global scale (2012, background): “due to retrieval difficulties over densely vegetated areas (10, 25)); and third, the SPI—contrary to retrievals from RS, which undergo a postprocessing—is available in near real time, which is essential for timely forecasting.”
- Effective tree scattering and opacity at L-band (2012, methodology): “…over vegetated terrain, the spaceborne baseline algorithms use the tau–omega model (Mo, et al., 1982), a zero-order Radiative Transfer (RT) solution, due to its simplicity, and ease of inversion and implementation (Jackson, 1993; Njoku et al., 2003; Owe et al., 2001; Wigneron et al., 2007).”
- Seasonal climate forecasting (2010, methodology): “Satellite remote sensing that provides global quarterdegree resolution near surface soil moisture content has been derived using C-band passive microwave observations (Owe et al., 2001).”
- Soil moisture retrieval from AMSR-E (2003, methodology): “which is sometimes written with a factor of 1/2 in the denominator [27]–[29].”