Precision Soil Moisture Monitoring With Passive Microwave L-Band UAS Mapping

被引:3
|
作者
Kim, Kyung Y. [1 ]
Zhu, Ziyue [1 ]
Zhang, Runze [2 ]
Fang, Bin [1 ]
Cosh, Michael H. [3 ]
Russ, Andrew L. [3 ]
Dai, Eryan [4 ]
Elston, Jack [5 ]
Stachura, Maciej [5 ]
Gasiewski, Albin J. [6 ]
Lakshmi, Venkataraman [1 ]
机构
[1] Univ Virginia, Dept Civil & Environm Engn, Charlottesville, VA 22904 USA
[2] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[3] USDA ARS, Beltsville, MD 20705 USA
[4] Soil Moisture Co, Boulder, CO 80302 USA
[5] Black Swift Technol, Boulder, CO 80302 USA
[6] Univ Colorado, Dept Elect & Comp Engn, Boulder, CO 80302 USA
基金
美国国家科学基金会;
关键词
Soil moisture; Soil; Microwave radiometry; L-band; Vegetation mapping; Moisture; Payloads; L-band passive microwave; precision mapping; radiative transfer; remote sensing; soil moisture; uncrewed aerial system (UAS); RADIOMETER;
D O I
10.1109/JSTARS.2024.3382045
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
Although satellite-based soil moisture products are useful at regional and global scales, they do not meet the needs of users who require high-resolution information for applications such as precision agriculture or catchment hydrologic modeling. The advent of uncrewed aerial systems (UASs) has opened new opportunities for bridging this need. We offer one of the very first validation studies on a dry-down event captured by a novel L-band radiometer onboard a Black Swift Technologies fixed-wing S2 UAS. A fallow cornfield at the Beltsville Agricultural Research Center was selected as a study area to validate volumetric soil moisture estimates in mid-April. By leveraging a comparable radiative transfer model to that of soil moisture active passive and soil moisture ocean salinity derived products, brightness temperature retrievals from this sensor are shown to successfully capture a week of dry-down poststorm event, as validated by HydraGO probe estimates (calibrated with gravimetric samples) and a nearby soil climate analysis network station. However, with a reported spatially averaged bias of -0.107 m(3)/m(3) (compared to calibrated moisture values) and an ubRMSE of 0.028 m(3)/m(3) potential concerns remain regarding the sensor calibration, vegetation and surface roughness corrections, and georeferencing. Nevertheless, given the potential of UAS for on-demand, high-resolution soil moisture retrievals, this collaborative effort provides critical feedback for informing future applications and improvements in the field of passive microwave remote sensing.
引用
收藏
页码:7684 / 7694
页数:11
相关论文
共 50 条
  • [41] Ground-based passive microwave remote sensing observations of soil moisture at S-band and L-band with insight into measurement accuracy
    Laymon, CA
    Crosson, WL
    Jackson, TJ
    Manu, A
    Tsegaye, TD
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (09): : 1844 - 1858
  • [42] TOWARDS MULTI-FREQUENCY SOIL MOISTURE RETRIEVAL USING P-AND L-BAND PASSIVE MICROWAVE SENSING TECHNOLOGY
    Ye, Nan
    Wu, Xiaoling
    Walker, Jeffrey
    Boopathi, Nithyapriya
    Jackson, Thomas J.
    Kerr, Yann
    Kim, Edward
    McGrath, Andrew
    Yeo, In-Young
    Moghaddam, Mahta
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3707 - 3710
  • [43] Soil Moisture Active/Passive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration Revisit: Approach and Performance
    PengG, Jinzheng
    Misra, Sidharth
    Piepmeier, Jeffrey R.
    Yueh, Simon H.
    Le Vine, David M.
    Dinnat, Emmanuel P.
    Dunbar, Roy Scott
    Mohammed, Priscilla N.
    Chan, Steven K.
    Meissner, Thomas
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 11406 - 11416
  • [44] A New Soil Moisture Retrieval Algorithm from the L-Band Passive Microwave Brightness Temperature Based on the Change Detection Principle
    Zheng, Xingming
    Feng, Zhuangzhuang
    Xu, Hongxin
    Sun, Yanlong
    Li, Lei
    Li, Bingze
    Jiang, Tao
    Li, Xiaojie
    Li, Xiaofeng
    REMOTE SENSING, 2020, 12 (08)
  • [45] L-BAND RADAR SENSING OF SOIL-MOISTURE
    CHANG, ATC
    ATWATER, SG
    SALOMONSON, VV
    ESTES, JE
    SIMONETT, DS
    BRYAN, ML
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1980, 18 (04): : 303 - 310
  • [46] The Planned Soil Moisture Active Passive (SMAP) Mission L-Band Radar/Radiometer Instrument
    Spencer, Michael
    Wheeler, Kevin
    Chan, Samuel
    Piepmeier, Jeffrey
    Hudson, Derek
    Medeiros, James
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2310 - 2313
  • [47] Soil Moisture Retrieval by means of real and simulated microwave data to test L-band active-passive and L-C-X-bands passive approaches
    Angiulli, M
    Notarnicola, C
    Posa, F
    REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS, AND GEOLOGY IV, 2004, 5574 : 447 - 457
  • [48] Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data
    Quets, Jan
    De Lannoy, Gabrielle J. M.
    Al Yaari, Amen
    Chan, Steven
    Cosh, Michael H.
    Gruber, Alexander
    Reichle, Rolf H.
    Van der Schalie, Robin
    Wigneron, Jean-Pierre
    REMOTE SENSING OF ENVIRONMENT, 2019, 229 : 133 - 147
  • [49] Soil Moisture Estimation by Assimilating L-Band Microwave Brightness Temperature with Geostatistics and Observation Localization
    Han, Xujun
    Li, Xin
    Rigon, Riccardo
    Jin, Rui
    Endrizzi, Stefano
    PLOS ONE, 2015, 10 (01):
  • [50] Soil Salinity Impacts on L-Band Remote Sensing of Soil Moisture
    McColl, Kaighin A.
    Ryu, Dongryeol
    Matic, Vjekoslav
    Walker, Jeffrey P.
    Costelloe, Justin
    Ruediger, Christoph
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (02) : 262 - 266