Comparison of ground-based and remotely-sensed surface soil moisture estimates over complex terrain during SMEX04

被引:93
作者
Vivoni, Enrique R. [1 ]
Gebremichael, Mekonnen [1 ]
Watts, Christopher J. [2 ]
Bindlish, Rajat [3 ]
Jackson, Thomas J. [3 ]
机构
[1] New Mexico Inst Min & Technol, Dept Earth & Environm Sci, Socorro, NM 87801 USA
[2] Sonoma State Univ, Dept Fis, Hermosillo, Sonora, Mexico
[3] USDA ARS, Beltsville Agr Res Ctr, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
基金
美国海洋和大气管理局; 美国国家航空航天局;
关键词
Soil Moisture Experiment 2004; North American monsoon; watershed soil moisture variability; aircraft remote sensing; topographic control; semiarid hydrology;
D O I
10.1016/j.rse.2006.10.028
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Comparisons to ground-based surface soil moisture estimates are necessary to evaluate the capability of remote sensors to determine Soil moisture and its spatiotemporal variability. Soil moisture can be especially variable in regions of complex terrain which exhibit large variations in vegetation, soil properties and hydrologic conditions. The objective of this study is to evaluate the spatiotemporal variability of soil moisture in a mountainous basin in northwestern Mexico. Soil moisture estimates from ground sampling over a topographic transect and high resolution retrievals from the Polarimetric Scanning Radiometer are compared during a two week period in August 2004 as part of the Soil Moisture Experiment 2004. Results indicate that the soil moisture estimates exhibit similar variability with mean water content. Statistical analysis, however, reveals clear differences in soil moisture in the basin, in particular for wet periods and high elevations. Despite these differences, the temporal persistence of soil moisture from the estimates agrees well and indicates locations that capture the basin-averaged conditions. Furthermore, the spatiotemporal soil moisture characteristics from the two products are linked to terrain attributes. As a result, a hypsometric technique is shown to improve comparisons between basin-averaged values derived from ground data and remote sensing, as compared to arithmetic averaging. To our knowledge, this study is the first attempt to evaluate PSR/CX retrievals with respect to ground observations over a region of high topographic and vegetation variability using statistical, time-stability and terrain analysis techniques. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:314 / 325
页数:12
相关论文
共 42 条
  • [1] ANALYSIS OF SURFACE MOISTURE VARIATIONS WITHIN LARGE-FIELD SITES
    BELL, KR
    BLANCHARD, BJ
    SCHMUGGE, TJ
    WITCZAK, MW
    [J]. WATER RESOURCES RESEARCH, 1980, 16 (04) : 796 - 810
  • [2] Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions
    Bindlish, R.
    Jackson, T. J.
    Gasiewski, A.
    Stankov, B.
    Klein, M.
    Cosh, M. H.
    Mladenova, I.
    Watts, C.
    Vivoni, E.
    Lakshmi, V.
    Bolten, J.
    Keefer, T.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2008, 112 (02) : 375 - 390
  • [3] Brown D.E., 1994, BIOTIC COMMUNITIES S
  • [4] SOIL-MOISTURE VARIABILITY WITHIN REMOTE-SENSING PIXELS
    CHARPENTIER, MA
    GROFFMAN, PM
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D17) : 18987 - 18995
  • [5] *COMM NAC AG, 2002, DET DISP AG AC RIO S
  • [6] Calibration of an impedance probe for estimation of surface soil water content over large regions
    Cosh, MH
    Jackson, TJ
    Bindlish, R
    Famiglietti, JS
    Ryu, D
    [J]. JOURNAL OF HYDROLOGY, 2005, 311 (1-4) : 49 - 58
  • [7] Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates
    Cosh, MH
    Jackson, TJ
    Bindlish, R
    Prueger, JH
    [J]. REMOTE SENSING OF ENVIRONMENT, 2004, 92 (04) : 427 - 435
  • [8] Crave A, 1997, HYDROL PROCESS, V11, P203, DOI 10.1002/(SICI)1099-1085(199702)11:2&lt
  • [9] 203::AID-HYP432&gt
  • [10] 3.0.CO