Passive/active microwave soil moisture change disaggregation using SMAPVEX12 data

被引:29
|
作者
Fang, Bin [1 ]
Lakshmi, Venkat [1 ]
Jackson, Thomas J. [2 ]
Bindlish, Rajat [3 ]
Colliander, Andreas [4 ]
机构
[1] Univ Virginia, Dept Engn Syst & Environm, Charlottesville, VA 22904 USA
[2] ARS, USDA, Beltsville, MD 20705 USA
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[4] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
关键词
SMAP; Microwave soil moisture disaggregation; Radar backscatter; Change detection algorithm; AMSR-E; HIGH-RESOLUTION; LAND-SURFACE; SCANNING RADIOMETER; SATELLITE DATA; VALIDATION; SMOS; VEGETATION; RETRIEVAL; MODIS;
D O I
10.1016/j.jhydrol.2019.04.082
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The SMAPVEX12 (Soil Moisture Active Passive (SMAP) Validation Experiment 2012) experiment was conducted during June-July 2012 in Manitoba, Canada with the goal of collecting remote sensing data and ground measurements for the development and testing of soil moisture retrieval algorithms under varying vegetation and soil conditions for the SMAP satellite. The aircraft based soil moisture data provided by the passive/active microwave sensor PALS (Passive and Active L-band System) has a nominal spatial resolution of 1600 m. However, this resolution is not compatible with agricultural, meteorological and hydrological studies that require high spatial resolutions and this issue can be solved by soil moisture disaggregation. The soil moisture disaggregation algorithm integrates radiometer soil moisture retrievals and high-resolution radar observations and it can provide soil moisture estimates at a finer scale than the radiometer data alone. In this study, a change detection algorithm was used for disaggregation of coarse resolution passive microwave soil moisture retrievals with radar backscatter coefficients obtained from the higher spatial resolution UAVSAR (Unmanned Air Vehicle Synthetic Aperture Radar) at crop field scale. The accuracy of the disaggregated change in soil moisture was evaluated using ground based soil moisture measurements collected during SMAPVEX12 campaign. The results showed that soil moisture spatial variabilities were better characterized by the disaggregated change in soil moisture estimates at 5 m/800 m resolution as well as a good agreement between disaggregated estimates and in situ measurements. It also showed that VWC (Vegetation Water Content) did not have a big impact on disaggregation algorithm performance, with R-2 of the disaggregated results ranging 0.628-0.794. The 5 m and 800 m resolution disaggregated soil moisture did no show significant difference in statistical performance variables.
引用
收藏
页码:1085 / 1098
页数:14
相关论文
共 50 条
  • [1] Passive/Active microwave soil moisture retrieval and disaggregation using SMAPVEX12 Data
    Fang, Bin
    Lakshmi, Venkat
    [J]. LAND SURFACE REMOTE SENSING II, 2014, 9260
  • [2] Passive/active microwave soil moisture change disaggregation using SMAPVEX2 data (vol 574, pg 1085, 2019)
    Fang, Bin
    Lakshmi, Venkat
    Jackson, Thomas J.
    Bindlish, Rajat
    Colliander, Andreas
    [J]. JOURNAL OF HYDROLOGY, 2019, 577
  • [3] Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign
    Leroux, Delphine J.
    Das, Narendra Narayan
    Entekhabi, Dara
    Colliander, Andreas
    Njoku, Eni G.
    Dunbar, R. Scott
    Yueh, Simon H.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54 (12): : 6859 - 6867
  • [4] The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms
    McNairn, Heather
    Jackson, Thomas J.
    Wiseman, Grant
    Belair, Stephane
    Berg, Aaron
    Bullock, Paul
    Colliander, Andreas
    Cosh, Michael H.
    Kim, Seung-Bum
    Magagi, Ramata
    Moghaddam, Mahta
    Njoku, Eni G.
    Adams, Justin R.
    Homayouni, Saeid
    Ojo, Emmanuel RoTimi
    Rowlandson, Tracy L.
    Shang, Jiali
    Goita, Kalifa
    Hosseini, Mehdi
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (05): : 2784 - 2801
  • [5] PASSIVE/ACTIVE MICROWAVE SOIL MOISTURE DISAGGREGATION USING SMAP DATA
    Fang, Bin
    Lakshmi, Venkat
    Bindlish, Rajat
    Jackson, Tom
    Cosh, Michael
    Colliander, Andreas
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 1992 - 1995
  • [6] Airborne Active and Passive L-band Measurements using PALS Instrument in SMAPVEX12 Soil Moisture Field Campaign
    Colliander, Andreas
    Yueh, Simon
    Chazanoff, Seth
    Dinardo, Steven
    O'Dwyer, Ian
    Jackson, Thomas
    McNairn, Heather
    Bullock, Paul
    Wiseman, Grant
    Berg, Aaron
    Magagi, Ramata
    Njoku, Eni
    [J]. LAND SURFACE REMOTE SENSING, 2012, 8524
  • [7] Estimating Effective Roughness Parameters of the L-MEB Model for Soil Moisture Retrieval Using Passive Microwave Observations From SMAPVEX12
    Martens, Brecht
    Lievens, Hans
    Colliander, Andreas
    Jackson, Thomas J.
    Verhoest, Niko E. C.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (07): : 4091 - 4103
  • [8] Measuring soil moisture change with vegetation cover using passive and active microwave data
    Li, Z
    Shi, JC
    Guo, HD
    [J]. IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 3071 - 3073
  • [9] On the disaggregation of passive microwave soil moisture data using a priori knowledge of temporally persistent soil moisture fields
    Loew, Alexander
    Mauser, Wolfram
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (03): : 819 - 834
  • [10] Soil moisture retrieval using L-band time-series SAR data from the SMAPVEX12 experiment
    Kim, Seung-bum
    Huang, Huan-ting
    Tsang, Leung
    Jackson, Thomas
    McNairn, Heather
    van Zyl, Jakob
    [J]. 10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014), 2014,