Correction of topographic effects for the vegetation index obtained from NOAA/AVHRR data

被引:0
|
作者
Kusaka, T [1 ]
Sema, T [1 ]
机构
[1] Kanazawa Inst Technol, Kanazawa, Ishikawa 9218501, Japan
关键词
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Topographic effects included in the vegetation index derived from NOAA/AVHRR data are evaluated. Radiance variations caused by shadows cast by adjacent terrain and occlusions of light ray by adjacent ten-ain are called topographic effects in this study. The Monte Carlo method was used to compute the multiple scattering processes of light in the atmosphere bounded by rugged ten-ain. The digital terrain data sampled with the grid width 50m (50m-DTD) was used to estimate topographic effects included in one pixel area of AVHRR data. The ratio, Rn, of the apparent radiance reflected by the rugged surface to the radiance reflected by the flat surface (no shadow and occlusion) was computed. The following results were obtained. (1) For the vegetation field with the high reflectance in the near infrared band, the value of Rn changes from 0.8 to 1.0 at the channel 2 of AVHRR. data. On the other hand, at the channel 1, Rn becomes more than 0.9 except for flat terrain. (2) It is possible to correct topographic effects included in NOAA/AVHRR data using the global 30 arc second elevation data (1 km-DTD) when the incident solar elevation is high.
引用
收藏
页码:837 / 839
页数:3
相关论文
共 50 条
  • [21] NOAA-AVHRR Orbital Drift Correction From Solar Zenithal Angle Data
    Sobrino, Jose A.
    Julien, Yves
    Atitar, Mariam
    Nerry, Francoise
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (12): : 4014 - 4019
  • [22] Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India
    Singh, RP
    Roy, S
    Kogan, F
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (22) : 4393 - 4402
  • [23] Analysis of China Vegetation Dynamics Using NOAA-AVHRR Data from 1982 to 2001
    Habib, Aziz Salim
    Chen Xiaoling
    Gong Jianya
    Wang Haiyan
    Zhang Li
    GEO-SPATIAL INFORMATION SCIENCE, 2009, 12 (02) : 146 - 153
  • [24] Accurate geometric correction of NOAA AVHRR data using Landsat TM data
    Zhang, B
    Zhu, ZZ
    Wu, YS
    IMAGING SYSTEMS TECHNOLOGY FOR REMOTE SENSING, 1998, 3505 : 132 - 138
  • [25] A COMPARISON OF THE VEGETATION RESPONSE TO RAINFALL IN THE SAHEL AND EAST-AFRICA, USING NORMALIZED DIFFERENCE VEGETATION INDEX FROM NOAA AVHRR
    NICHOLSON, SE
    DAVENPORT, ML
    MALO, AR
    CLIMATIC CHANGE, 1990, 17 (2-3) : 209 - 241
  • [26] Integration of NOAA-AVHRR data and geographical factors for China vegetation classification
    Gao, YC
    Jiang, XG
    Dang, AR
    Niu, Z
    Wang, CY
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1933 - 1935
  • [27] GEOMETRIC CORRECTION AND RADIOMETRIC NORMALIZATION OF NOAA AVHRR DATA FOR FISHERIES APPLICATIONS
    NARAYANA, A
    SOLANKI, HU
    KRISHNA, BG
    NARAIN, A
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1995, 16 (04) : 765 - 771
  • [28] RECORDED RADIANCE INDEXES FOR VEGETATION MONITORING USING NOAA AVHRR DATA - ATMOSPHERIC AND OTHER EFFECTS IN MULTITEMPORAL DATA SETS
    DUGGIN, MJ
    PIWINSKI, D
    APPLIED OPTICS, 1984, 23 (15): : 2620 - 2623
  • [29] EFFECTS OF THE DRY SEASON ON THE VEGETATION CANOPY OF SOME RIVER BASINS OF WEST AFRICA AS DEDUCED FROM NOAA-AVHRR DATA
    GREGOIRE, JM
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1990, 35 (03): : 323 - 338
  • [30] Regional Drought using the Vegetation Condition Index from NOAA-AVHRR Satelite Measurements in the south Brazil
    Pertovt, L. E.
    Rivas, R.
    Juliano, Schirmbeck
    Coelho Osmar Gustavo, W.
    Vives, L.
    BOLETIN GEOLOGICO Y MINERO, 2008, 119 (01): : 119 - 124