Michael H. Cosh

4 ta ish

United States Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, USA

1. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon

   Chang‐Hwan Park, Aaron Berg, Michael H. Cosh +7

   MaqolaSoil Moisture and Remote SensingHydrology and earth system sciences20212 iqtibos

   ABIABI:AkademIndex/openalex/2021.article.000738

2. Retrieving forest soil moisture from SMAP observations considering a microwave polarization difference index (MPDI) to τ-ω model

   Chang‐Hwan Park, Thomas Jagdhuber, Andreas Colliander +4

   MaqolaSoil Moisture and Remote SensingScience of Remote Sensing20241 iqtibos

   ABIABI:AkademIndex/openalex/2024.article.001549

3. Comment on hess-2021-233

   Chang‐Hwan Park, Aaron Berg, Michael H. Cosh +7

   BoshqaSoil Moisture and Remote Sensing20210 iqtibos

   ABIABI:AkademIndex/openalex/2021.other.000045

4. Simultaneous estimation of soil moisture and soil organic matter from in situ dielectric measurements - part 1: Optimal estimation strategy

   Chang‐Hwan Park, Ankur Desai, Jingyi Huang +7

   MaqolaSoil Moisture and Remote SensingAgricultural and Forest Meteorology20260 iqtibos

   ABIABI:AkademIndex/openalex/2026.article.016674