Discriminating irrigated and rainfed olive orchards with thermal ASTER imagery and DART 3D simulation

被引:36
作者
Sepulcre-Canto, G. [1 ]
Zarco-Tejada, P. J. [1 ]
Sobrino, J. A. [2 ]
Berni, J. A. J. [1 ]
Jimenez-Munoz, J. C. [2 ]
Gastellu-Etchegorry, J. P. [3 ]
机构
[1] CSIC, IAS, Cordoba 14004, Spain
[2] Univ Valencia, Global Change Unit, Dept Thermodynam, Fac Phys, Valencia, Spain
[3] CESBIO, F-31401 Toulouse 9, France
关键词
ASTER; Canopy temperature; Vegetation index; Rainfed; Irrigated; DART; Radiative transfer; WATER-STRESS; SURFACE-TEMPERATURE; CANOPY TEMPERATURE; RADIATIVE-TRANSFER; YIELD; EVAPOTRANSPIRATION; ALGORITHMS; INDEXES; NDVI;
D O I
10.1016/j.agrformet.2008.12.001
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
This work provides a description of the research conducted to assess methods for the discrimination between irrigated and rainfed open-tree canopies using advanced spaceborne thermal emission and reflection radiometer (ASTER) satellite imagery and discrete anisotropic radiative transfer (DART) radiative transfer 3D simulation model. Summer and winter ASTER images were acquired over a study area in southern Spain during a 6-year period. A total of 1076 olive orchards were monitored in this area, gathering the field location, field area, tree density, and whether the field was drip irrigated or rainfed. Surface temperature images from ASTER were estimated using the temperature and emissivity separation (TES) method. A panchromatic ortho-rectified imagery dataset collected over the entire area at 0.5 m resolution was used to estimate orchard vegetation cover for each field. Results for summer ASTER thermal images showed differences between irrigated and rainfed orchards of up to 2 K for fields with the same percentage cover, decreasing the differences in ASTER winter images. An approach based on a cumulative index using temperature and the normalized difference vegetation index (NDVI) information for the 6-year ASTER time-series was capable of detecting differences between irrigated and rainfed open-canopy orchards, obtaining 80% success on field-to-field assessments. The method considered that irrigated orchards with equal vegetation cover would yield lower temperature and NDVI than rainfed orchards; an overall accuracy of 75% and a kappa (kappa) of 0.34 was obtained with a supervised classification method using visible, near infrared and temperature information for the 6-year ASTER imagery series. These experimental ASTER results were confirmed with DART radiative transfer 3D model used to simulate the influence of vegetation cover, leaf area index (LAI) and background temperature on the irrigated and rainfed orchard temperature at the ASTER pixel size. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:962 / 975
页数:14
相关论文
共 39 条
  • [1] Allen R. G., 2005, Irrigation and Drainage Systems, V19, P251, DOI 10.1007/s10795-005-5187-z
  • [2] Bastiaanssen WGM, 1998, J HYDROL, V212, P198, DOI [10.1016/S0022-1694(98)00253-4, 10.1016/S0022-1694(98)00254-6]
  • [3] BERSTEIN LS, 1989, GLTR890122
  • [4] Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges
    Chander, G
    Markham, B
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (11): : 2674 - 2677
  • [5] CHANDLER C, 1983, FOREST FIRE BEHAV EF
  • [6] DEANDALUCIA J, 2005, MOND DIG TERR AND RE
  • [7] Deficit irrigation for reducing agricultural water use
    Fereres, Elias
    Auxiliadora Soriano, Maria
    [J]. JOURNAL OF EXPERIMENTAL BOTANY, 2007, 58 (02) : 147 - 159
  • [8] RETRIEVAL OF EQUIVALENT WATER THICKNESS AND INFORMATION RELATED TO BIOCHEMICAL-COMPONENTS OF VEGETATION CANOPIES FROM AVIRIS DATA
    GAO, BC
    GOETZ, AFH
    [J]. REMOTE SENSING OF ENVIRONMENT, 1995, 52 (03) : 155 - 162
  • [9] Modeling BRF and radiation regime of boreal and tropical forests: I. BRF
    Gastellu-Etchegorry, JP
    Guillevic, P
    Zagolski, F
    Demarez, V
    Trichon, V
    Deering, D
    Leroy, M
    [J]. REMOTE SENSING OF ENVIRONMENT, 1999, 68 (03) : 281 - 316
  • [10] A modeling approach to assess the robustness of spectrometric predictive equations for canopy chemistry
    Gastellu-Etchegorry, JP
    Bruniquel-Pinel, V
    [J]. REMOTE SENSING OF ENVIRONMENT, 2001, 76 (01) : 1 - 15