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Start Over Author "Cosh, Michael" Journal ieee transactions on geoscience and remote sensing
20 results on '"Cosh, Michael"'

1. P-Band and L-Band Radiometry Retrieval of Soil Moisture and Temperature Profiles

Author

Li, Ming, Lang, Roger, and Cosh, Michael

Abstract

This article explores the potential of P-band and L-band radiometry for estimating soil moisture and temperature profiles. A total of 3977 hourly in situ soil data were collected at depths (d) of 5–60 cm in Beltsville, MD, USA. Using the data, a coherent model was used to generate synthetic brightness temperatures at an incidence angle of 40° for frequencies of 0.8, 0.9, 1.1, and 1.4 GHz. These synthetic brightness temperatures facilitated the estimation of soil moisture ( $m_{v}$ ) and temperature (T) profiles, which were modeled as quadratic functions with three coefficients. The inversion problem was formulated as a least-squares problem and optimized by the adaptive simulated annealing (ASA) algorithm. Regression analysis highlighted the sensitivity of the soil moisture and temperature function coefficients on the brightness temperature at 1.4 GHz and the differential between 1.4 and 0.8 GHz ( $R^{2}=0.62-0.97$ ), yielding the best-fit models to describe the relationships. The application of the ASA algorithm incorporating the best-fit models to constrain the search spaces showed the RMSE of soil moisture ${m_{v}}\leq 0.04~\rm cm^{3}/cm^{3}$ and soil temperature ${T}\leq 1.35~^{\circ }\text {C}$ for depths $d\leq 20~ \rm cm$ , and ${m_{v}}\leq 0.10~\rm cm^{3}/cm^{3}$ and ${T}\leq 1.60~^{\circ }\text {C}$ for $d\leq 60 ~\rm cm$ . A streamlined inversion method was also investigated which used the best-fit models as the retrieval formula and solely relied on the V-pol data. The streamlined inversion method achieved comparable retrieval accuracy but reducing the runtime from 770 to 0.54 s for one inversion. This approach simplifies the data collection process by eliminating the need for H-pol data, potentially broadening its flexibility and applicability.

Published
2024
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2. Assessment of the SMAP Passive Soil Moisture Product

Author

Chan, Steven K, Bindlish, Rajat, O'Neill, Peggy E, Njoku, Eni, Jackson, Tom, Colliander, Andreas, Chen, Fan, Burgin, Mariko, Dunbar, Scott, Piepmeier, Jeffrey, Yueh, Simon, Entekhabi, Dara, Cosh, Michael H, Caldwell, Todd, Walker, Jeffrey, Wu, Xiaoling, Berg, Aaron, Rowlandson, Tracy, Pacheco, Anna, McNairn, Heather, Thibeault, Marc, Martinez-Fernandez, Jose, Gonzalez-Zamora, Angel, Seyfried, Mark, Bosch, David, Starks, Patrick, Goodrich, David, Prueger, John, Palecki, Michael, Small, Eric E, Zreda, Marek, Calvet, Jean-Christophe, Crow, Wade T, and Kerr, Yann

Subjects
Earth Resources And Remote Sensing
Abstract

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 Level 2 soil moisture product for SMAP. The product provides soil moisture estimates posted on a 36 kilometer 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 cubic meter per cubic meter unbiased root-mean-square difference (ubRMSD), which approaches the SMAP mission requirement of 0.040 cubic meter per cubic meter.

Published
2016
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6. Soil moisture mapping using ESTAR under dry conditions from the Southern Great Plains Experiment (SGP99)

Author

Guha, Aniruddha, Jacobs, Jennifer M., Jackson, Thomas J., Cosh, Michael H., Hsu, En-Ching, and Judge, Jasmeet

Subjects
Remote sensing -- Research, Remote sensing -- Usage, Soils -- Research, Business, Earth sciences, Electronics and electrical industries
Abstract

The electronically scanned thin array radiometer (ESTAR) was utilized for soil moisture mapping during the Southern Great Plains Experiment (SGP99). A retrieval algorithm was applied to obtain soil moisture from passive microwave measurements at 1.4 GHz. The algorithm was verified using ground data collected during SGP99. The results indicate a good correlation between observed and predicted soil moisture values and are consistent with results obtained from the same instrument in previous experiments. The present results demonstrate the validity of the retrieval algorithm for moderately to extremely dry soils. The ESTAR measurements along with ancillary data were used to create soil moisture maps of the entire region. Index Terms--Microwave, remote sensing, soil moisture.

Published
2003

10. Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture

Author

Chaubell, Mario Julian, primary, Yueh, Simon H., additional, Dunbar, R. Scott, additional, Colliander, Andreas, additional, Chen, Fan, additional, Chan, Steven K., additional, Entekhabi, Dara, additional, Bindlish, Rajat, additional, O'Neill, Peggy E., additional, Asanuma, Jun, additional, Berg, Aaron A., additional, Bosch, David D., additional, Caldwell, Todd, additional, Cosh, Michael H., additional, Holifield Collins, Chandra, additional, Martinez-Fernandez, Jose, additional, Seyfried, Mark, additional, Starks, Patrick J., additional, Su, Zhongbo, additional, Thibeault, Marc, additional, and Walker, Jeffrey, additional

Published
2020
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11. A First-Order Radiative Transfer Model for Microwave Radiometry of Forest Canopies at L-Band

Author

Kurum, Mehmet, Lang, Roger H, O'Neill, Peggy E, Joseph, Alicia T, Jackson, Thomas J, and Cosh, Michael H

Subjects
Earth Resources And Remote Sensing
Abstract

In this study, a first-order radiative transfer (RT) model is developed to more accurately account for vegetation canopy scattering by modifying the basic Tau-Omega model (the zero-order RT solution). In order to optimally utilize microwave radiometric data in soil moisture (SM) retrievals over vegetated landscapes, a quantitative understanding of the relationship between scattering mechanisms within vegetation canopies and the microwave brightness temperature is desirable. The first-order RT model is used to investigate this relationship and to perform a physical analysis of the scattered and emitted radiation from vegetated terrain. This model is based on an iterative solution (successive orders of scattering) of the RT equations up to the first order. This formulation adds a new scattering term to the . model. The additional term represents emission by particles (vegetation components) in the vegetation layer and emission by the ground that is scattered once by particles in the layer. The model is tested against 1.4-GHz brightness temperature measurements acquired over deciduous trees by a truck-mounted microwave instrument system called ComRAD in 2007. The model predictions are in good agreement with the data, and they give quantitative understanding for the influence of first-order scattering within the canopy on the brightness temperature. The model results show that the scattering term is significant for trees and modifications are necessary to the . model when applied to dense vegetation. Numerical simulations also indicate that the scattering term has a negligible dependence on SM and is mainly a function of the incidence angle and polarization of the microwave observation. Index Terms Emission,microwave radiometry, scattering, soil, vegetation.

Published
2011
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13. A Time-Series Approach to Estimating Soil Moisture From Vegetated Surfaces Using L-Band Radar Backscatter

Author

Ouellette, Jeffrey D., primary, Johnson, Joel T., additional, Balenzano, Anna, additional, Mattia, Francesco, additional, Satalino, Giuseppe, additional, Kim, Seung-Bum, additional, Dunbar, R. Scott, additional, Colliander, Andreas, additional, Cosh, Michael H., additional, Caldwell, Todd G., additional, Walker, Jeffrey P., additional, and Berg, Aaron A., additional

Published
2017
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14. Surface Soil Moisture Retrieval Using the L-Band Synthetic Aperture Radar Onboard the Soil Moisture Active–Passive Satellite and Evaluation at Core Validation Sites

Author

Kim, Seung-Bum, primary, van Zyl, Jakob J., additional, Johnson, Joel T., additional, Moghaddam, Matha, additional, Tsang, Leung, additional, Colliander, Andreas, additional, Dunbar, Roy Scott, additional, Jackson, Thomas J., additional, Jaruwatanadilok, Sermsak, additional, West, Richard, additional, Berg, Aaron, additional, Caldwell, Todd, additional, Cosh, Michael H., additional, Goodrich, David C., additional, Livingston, Stanley, additional, Lopez-Baeza, Ernesto, additional, Rowlandson, Tracy, additional, Thibeault, Marc, additional, Walker, Jeffrey P., additional, Entekhabi, Dara, additional, Njoku, Eni G., additional, O'Neill, Peggy E., additional, and Yueh, Simon H., additional

Published
2017
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15. The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

Author

McNairn, Heather, primary, Jackson, Thomas J., additional, Wiseman, Grant, additional, Belair, Stephane, additional, Berg, Aaron, additional, Bullock, Paul, additional, Colliander, Andreas, additional, Cosh, Michael H., additional, Kim, Seung-Bum, additional, Magagi, Ramata, additional, Moghaddam, Mahta, additional, Njoku, Eni G., additional, Adams, Justin R., additional, Homayouni, Saeid, additional, Ojo, Emmanuel, additional, Rowlandson, Tracy, additional, Shang, Jiali, additional, Goita, Kalifa, additional, and Hosseini, Mehdi, additional

Published
2015
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16. Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results

Author

Magagi, Ramata, primary, Berg, Aaron A., additional, Goita, Kalifa, additional, Belair, Stephane, additional, Jackson, Thomas J., additional, Toth, Brenda, additional, Walker, Anne, additional, McNairn, Heather, additional, O'Neill, Peggy E., additional, Moghaddam, Mahta, additional, Gherboudj, Imen, additional, Colliander, Andreas, additional, Cosh, Michael H., additional, Burgin, Mariko, additional, Fisher, Joshua B., additional, Kim, Seung-Bum, additional, Mladenova, Iliana, additional, Djamai, Najib, additional, Rousseau, Louis-Philippe B., additional, Belanger, Jon, additional, Shang, Jiali, additional, and Merzouki, Amine, additional

Published
2013
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