AirMOSS: An Airborne P-band SAR to Measure Root-Zone Soil Moisture

被引:0
|
作者
Chapin, Elaine [1 ]
Chau, Alexandra [1 ]
Chen, Jacqueline [1 ]
Heavey, Brandon [1 ]
Hensley, Scott [1 ]
Lou, Yunling [1 ]
Machuzak, Richard [1 ]
Moghaddam, Mahta [2 ]
机构
[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
[2] Univ Southern Calif, Dept Elect Engn, Los Angeles, CA 90089 USA
关键词
MAPPING SYSTEM;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A keystone of the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) investigation is the P-band Synthetic Aperture Radar (SAR), which will provide calibrated polarimetric measurements that will be used to retrieve the root-zone soil moisture (RZSM) over regional scale (250 kha) areas imaged. The radar is based on JPL's L-band Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) system. It is currently under development and scheduled to begin flights in mid-2012. The AirMOSS P-band SAR inherits UAVSAR's existing L-band RF and digital electronics subsystems. New up- and down-converters convert the L-band signals to UHF frequencies (280-440 MHz). The passive antenna is based on the legacy GeoSAR design.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products
    Tabatabaeenejad, Alireza
    Chen, Richard H.
    Burgin, Mariko S.
    Duan, Xueyang
    Cuenca, Richard H.
    Cosh, Michael H.
    Scott, Russell L.
    Moghaddam, Mahta
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (09): : 6181 - 6196
  • [2] Spatial and Temporal Variability of Root-Zone Soil Moisture Acquired From Hydrologic Modeling and AirMOSS P-Band Radar
    Crow, Wade T.
    Milak, Sushil
    Moghaddam, Mahta
    Tabatabaeenejad, Alireza
    Jaruwatanadilok, Sermsak
    Yu, Xuan
    Shi, Yuning
    Reichle, Rolf H.
    Hagimoto, Yutaka
    Cuenca, Richard H.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (12) : 4578 - 4590
  • [3] ASSESSMENT OF RETRIEVAL ERRORS OF AIRMOSS ROOT-ZONE SOIL MOISTURE PRODUCTS
    Tabatabaeenejad, Alireza
    Chen, Richard H.
    Moghaddam, Mahta
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5268 - 5271
  • [4] Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation
    Sadeghi, Morteza
    Tabatabaeenejad, Alireza
    Tuller, Markus
    Moghaddam, Mahta
    Jones, Scott B.
    [J]. REMOTE SENSING, 2017, 9 (01):
  • [5] Synergistic Use of AirMOSS P-band SAR with the SMAP L-band Radar-Radiometer for Soil Moisture Retrieval
    Akbar, R.
    Chen, R.
    Tabatabaeenejad, A.
    Moghaddam, M.
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS (ICEAA), 2016, : 793 - 795
  • [6] P-BAND SIGNALS OF OPPORTUNITY FOR REMOTE SENSING OF ROOT ZONE SOIL MOISTURE
    Yueh, Simon H.
    Xu, Xiaolan
    Shah, Rashmi
    Margulis, Steve
    Elder, Kelly
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1403 - 1406
  • [7] Retrieving Root-Zone Soil Moisture Profile From P-Band Radar via Hybrid Global and Local Optimization
    Etminan, Aslan
    Tabatabaeenejad, Alireza
    Moghaddam, Mahta
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (08): : 5400 - 5408
  • [8] RETRIEVAL OF AIRMOSS ROOT-ZONE SOIL MOISTURE PROFILE WITH A RICHARDS' EQUATION-BASED APPROACH
    Tabatabaeenejad, Alireza
    Sadeghi, Morteza
    Moghaddam, Mahta
    Tuller, Markus
    Jones, Scott B.
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4955 - 4958
  • [9] REMOTE SENSING OF ROOT-ZONE SOIL MOISTURE USING I-AND P-BAND SIGNALS OF OPPORTUNITY: INSTRUMENT VALIDATION STUDIES
    Garrison, J. L.
    Kurum, M.
    Nold, B.
    Piepmeier, J.
    Vega, M. A.
    Bindlish, R.
    Pignotti, G.
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8305 - 8308
  • [10] Root Zone Soil Moisture Comparisons: AirMOSS, SMERGE, and SMAP
    Tobin, Kenneth J.
    Crow, Wade T.
    Bennett, Marvin E.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19