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
  • [41] Using Passive Microwave Response to Soil Moisture Change for Soil Mapping: A Case Study for the Livingstone Creek Catchment
    Summerell, G.
    Shoemark, V.
    Grant, S.
    Walker, J. P.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2009, 6 (04) : 649 - 652
  • [42] An Attempt to Investigate Change in Crop Acreage with Soil Moisture Variations Derived from Passive Microwave Data
    Singh, Gagandeep
    Srivastava, Hari Shanker
    Mesapam, Shashi
    Patel, Parul
    [J]. WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2019: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT, 2019, : 83 - 90
  • [43] Disaggregation of microwave remote sensing data for estimating near-surface soil moisture using a neural network
    Crosson, WL
    Laymon, CA
    Schamschula, MP
    [J]. 16TH CONFERENCE ON HYDROLOGY, 2002, : 85 - 90
  • [44] Monitoring of soil moisture in the South of Ukraine using active and passive remote sensing data
    Danylenko, Iuliia
    Bohaienko, Vsevolod
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXII, 2020, 11528
  • [45] PREPLANTING SOIL-MOISTURE USING PASSIVE MICROWAVE SENSORS
    JACKSON, TJ
    HAWLEY, ME
    ONEILL, PE
    [J]. WATER RESOURCES BULLETIN, 1987, 23 (01): : 11 - 19
  • [46] A simple parameterisation for retrieving soil moisture from passive microwave data
    Burke, EJ
    Simmonds, LP
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2001, 5 (01) : 39 - 48
  • [47] Potential of bias correction for downscaling passive microwave and soil moisture data
    Kornelsen, Kurt C.
    Cosh, Michael H.
    Coulibaly, Paulin
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2015, 120 (13) : 6460 - 6479
  • [48] Soil moisture retrieval in the Tibetan plateau using optical and passive microwave remote sensing data
    Yang Ting
    Chen Xiu-Wan
    Wan Wei
    Huang Zhao-Qiang
    Yang Zhen-Yu
    Jiang Lu-Lu
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2017, 60 (07): : 2556 - 2567
  • [49] Soil moisture-based global liquefaction model (SMGLM) using soil moisture active passive (SMAP) satellite data
    Farahani, Ali
    Ghayoomi, Majid
    [J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2024, 177
  • [50] Simultaneous Retrieval of Land Surface Temperature and Soil Moisture Using Multichannel Passive Microwave Data
    Han, Xiao-Jing
    Yao, Na
    Wu, Zihao
    Leng, Pei
    Han, Wenjing
    Chen, Xueyuan
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 10