Dr. Michael Cosh Profile

Dr. Michael Cosh

Research Hydrologist at Agricultural Research Service

SPIE Involvement:

Author

Publications (5)

SPIE Journal Paper | 12 February 2019 Open Access

Estimating vegetation water content during the Soil Moisture Active Passive Validation Experiment 2016

Michael Cosh, William White, Andreas Colliander, Thomas Jackson, John Prueger, Brian Hornbuckle, E. Raymond Hunt, Heather McNairn, Jarrett Powers, Victoria Walker, Paul Bullock

JARS, Vol. 13, Issue 01, 014516, (February 2019) https://doi.org/10.1117/12.10.1117/1.JRS.13.014516

KEYWORDS: Vegetation, Soil science, Agriculture, Earth observing sensors, Landsat, Clouds, Satellites, Remote sensing, Climatology, Calibration

Read Abstract +

Vegetation water content (VWC) is an important land surface parameter that is used in retrieving surface soil moisture from microwave satellite platforms. Operational approaches utilize relationships between VWC and satellite vegetation indices for broad categories of vegetation, i.e., “agricultural crops,” based on climatological databases. Determining crop type–specific equations for water content could lead to improvements in the soil moisture retrievals. Data to address this issue are lacking, and as a part of the calibration and validation program for NASA’s Soil Moisture Active Passive (SMAP) Mission, field experiments are conducted in northern central Iowa and southern Manitoba to investigate the performance of the SMAP soil moisture products for these intensive agricultural regions. Both sites are monitored for soil moisture, and the calibration and validation assessments had indicated performance issues in both domains. One possible source could be the characterization of the vegetation. In this investigation, Landsat 8 data are used to compute a normalized difference water index for the entire summer of 2016 that is then integrated with extensive VWC sampling to determine how to best characterize daily estimates of VWC for improved algorithm implementation. In Iowa, regression equations for corn and soybean are developed that provided VWC with root mean square error (RMSE) values of 1.37 and 1.10 kg / m2, respectively. In Manitoba, corn and soybean equations are developed with RMSE values of 0.55 and 0.25 kg / m2. Additional crop-specific equations are developed for winter wheat (RMSE of 0.07 kg / m2), canola (RMSE of 0.90 kg / m2), oats (RMSE of 0.74 kg / m2), and black beans (RMSE of 0.31 kg / m2). Overall, the conditions are judged to be typical with the exception of soybeans, which had an exceptionally high biomass as a result of significant rainfall as compared to previous studies in this region. Future implementation of these equations into algorithm development for satellite and airborne radiative transfer modeling will improve the overall performance in agricultural domains.

DOWNLOAD PAPER

SPIE Journal Paper | 14 September 2012

Effect of dew on aircraft-based passive microwave observations over an agricultural domain

Jinyang Du, Thomas Jackson, Rajat Bindlish, Michael Cosh, Li Li, Brian Hornbuckle, Erik Kabela

JARS, Vol. 6, Issue 01, 063571, (September 2012) https://doi.org/10.1117/12.10.1117/1.JRS.6.063571

KEYWORDS: Directed energy weapons, Soil science, Microwave radiation, Vegetation, X band, Temperature metrology, Agriculture, Scattering, Sensors, Satellites

Read Abstract +

SPIE Journal Paper | 1 May 2010

Vegetation water content mapping in a diverse agricultural landscape: National Airborne Field Experiment 2006

Michael Cosh, Jing Tao, Thomas Jackson, Lynn McKee, Peggy O'Neill

JARS, Vol. 4, Issue 01, 043532, (May 2010) https://doi.org/10.1117/12.10.1117/1.3449090

KEYWORDS: Vegetation, Reflectivity, Satellites, Agriculture, Soil science, Landsat, Satellite imaging, Short wave infrared radiation, Microwave radiation, Earth observing sensors

Read Abstract +

Proceedings Article | 21 August 2009 Paper

Validation of microwave vegetation indices using field experiment data sets

T. J. Jackson, J. C. Shi, R. Bindlish, M. Cosh, L. Chai, J. Du, S. Zhao, J. Tao

Proceedings Volume 7454, 745406 (2009) https://doi.org/10.1117/12.823891

KEYWORDS: Vegetation, Microwave radiation, Soil science, Polarization, Landsat, Signal attenuation, MODIS, Sensors, Remote sensing, Earth observing sensors

Read Abstract +

Proceedings Article | 12 October 2007 Paper

WindSat passive microwave polarimetric observations of soil moisture and land variables

Jinyang Du, Thomas Jackson, Rajat Bindlish, M. Cosh, Li Li

Proceedings Volume 6677, 66771I (2007) https://doi.org/10.1117/12.730684

KEYWORDS: Soil science, Vegetation, Error analysis, Microwave radiation, Climatology, Satellites, Polarimetry, Radiometry, Sensors, Polarization

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years