Bulk surface momentum parameters for satellite-derived vegetation fields

被引:20
|
作者
Jasinski, MF
Borak, J
Crago, R
机构
[1] NASA, Goddard Space Flight Ctr, Hydrol Sci Branch, Greenbelt, MD 20771 USA
[2] Sci Syst & Applicat Inc, Greenbelt, MD 20771 USA
[3] Bucknell Univ, Dept Civil & Environm Engn, Lewisburg, PA 17837 USA
关键词
roughness length; vegetation; momentum; remote sensing;
D O I
10.1016/j.agrformet.2005.07.017
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The bulk aerodynamic parameters associated with the absorption of surface momentum by vegetated landscapes are theoretically estimated within the context of Raupach's roughness sublayer formulation. The parameters include the bulk plant drag coefficient, maximum u*/U-h, sheltering coefficient, and canopy area density at onset of sheltering. Parameters are estimated for the four principal IGBP land cover classes within the U.S. Southern Great Plains: evergreen needleleaf forests, grasslands, croplands, and open shrublands. The estimation approach applies the Method of Moments to roughness data from several international field experiments and other published sources. The results provide the necessary land surface parameters for satellite-based estimation of momentum aerodynamic roughness length and zero-plane displacement height for seasonally variable vegetation fields employed in most terrestrial and atmospheric simulation models used today. Construction of sample displacement and roughness maps over the Southern United States using MODIS land products demonstrates the potential of this approach for regional to global applications. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:55 / 68
页数:14
相关论文
共 50 条
  • [21] OPTIMUM INTERPOLATION OF RADIOSONDE AND SATELLITE-DERIVED TEMPERATURE-FIELDS
    YEE, YP
    VONDERHAAR, TH
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1978, 59 (04) : 478 - 479
  • [22] Satellite-derived vegetation indices contribute significantly to the prediction of epiphyllous liverworts
    Jiang, Yanbin
    Wang, Tiejun
    de Bie, C. A. J. M.
    Skidmore, A. K.
    Liu, Xuehua
    Song, Shanshan
    Zhang, Li
    Wang, Jian
    Shao, Xiaoming
    ECOLOGICAL INDICATORS, 2014, 38 : 72 - 80
  • [23] Intraseasonal Variability of Satellite-Derived Rainfall and Vegetation over Southern Africa
    Chikoore, Hector
    Jury, Mark R.
    EARTH INTERACTIONS, 2010, 14 : 1 - 26
  • [24] Modelling wave attenuation by saltmarsh using satellite-derived vegetation properties
    Figueroa-Alfaro, Richard W.
    van Rooijen, Arnold
    Garzon, Juan L.
    Evans, Martin
    Harris, Angela
    ECOLOGICAL ENGINEERING, 2022, 176
  • [25] Evaluation of UAV and satellite-derived NDVI to map maritime Antarctic vegetation
    Sotille, Maria E.
    Bremer, Ulisses F.
    Vieira, Goncalo
    Velho, Luiz F.
    Petsch, Carina
    Simoes, Jefferson C.
    APPLIED GEOGRAPHY, 2020, 125
  • [26] Conformity testing of satellite-derived quantitative surface variables
    Widlowski, Jean-Luc
    ENVIRONMENTAL SCIENCE & POLICY, 2015, 51 : 149 - 169
  • [27] DEVELOPING SATELLITE-DERIVED ESTIMATES OF SURFACE MOISTURE STATUS
    NEMANI, R
    PIERCE, L
    RUNNING, S
    GOWARD, S
    JOURNAL OF APPLIED METEOROLOGY, 1993, 32 (03): : 548 - 557
  • [28] Uncertainties in satellite-derived estimates of surface UV doses
    Martin, TJ
    Gardiner, BG
    Seckmeyer, G
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D22) : 27005 - 27011
  • [29] LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters
    Xu, Mingzhu
    Shang, Rong
    Chen, Jing M.
    Zeng, Lingfang
    REMOTE SENSING, 2023, 15 (13)
  • [30] Influence of the spatial resolution of satellite-derived vegetation parameters on the biogenic Volatile Organic Compounds (VOC) emission modeling
    Silveira, Carlos M. S.
    Tchepel, Oxana A.
    CENTRAL EUROPEAN JOURNAL OF GEOSCIENCES, 2014, 6 (01): : 104 - 111