PROCESSING ERROR REDUCTION FACTORS IN THE GENERATION OF GEOMETRICALLY CORRECTED NOAA AVHRR VEGETATION INDEX IMAGES

被引:3
|
作者
GUPTA, RK
机构
[1] National Remote Sensing Agency, Balanagar, Hyderabad
关键词
D O I
10.1080/01431169208904054
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The study of multitemporal data needs geometric registration of each image with a standard master image. The role is described of a narrower distribution of ground control points in the across-track direction with respect to the area of interest in minimizing the registration error. The 1.1 km spatial resolution of the Advanced Very High Resolution Radiometer (AVHRR) on-board the National Oceanic and Atmospheric Administration (NOAA) meteorological satellites has contributions from varying degree of vegetation characteristics within the pixel dimensions. The contrast among the vegetated, less intensely vegetated and non-vegetated pixels are enhanced in the Normalized Difference Vegetation Index (NDVI) image due to the use of a very high gain factor in converting the observed range of NDVI values to 8-bit scale. Also discussed is the radiometric misrepresentation in the grey values of new pixels created by geometrical correction applied directly to a vegetation index image.
引用
收藏
页码:515 / 526
页数:12
相关论文
共 28 条
  • [1] NOAA-AVHRR data processing for the mapping of vegetation cover
    Shimabukuro, YE
    Carvalho, VC
    Rudorff, BFT
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (03) : 671 - 677
  • [2] SYSTEMATIC NAVIGATION ERROR ON NOAA-12 AVHRR IMAGES
    BRUNEL, P
    MARSOUIN, A
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (01) : 171 - 176
  • [3] On using the NOAA AVHRR ''experimental calibrated biweekly global vegetation index''
    Williams, EA
    Jelinski, DE
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1996, 62 (08): : 959 - 960
  • [4] Generation of geometrically and radiometrically terrain corrected ScanSAR images
    Löw, A
    Mauser, W
    [J]. IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 3995 - 3997
  • [5] Correction of topographic effects for the vegetation index obtained from NOAA/AVHRR data
    Kusaka, T
    Sema, T
    [J]. IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 837 - 839
  • [6] Comparison of time series of the vegetation index derived from NOAA AVHRR and SPOT VEGETATION satellite observations
    Bartold, Maciej
    [J]. SYLWAN, 2016, 160 (02): : 153 - 161
  • [7] Integration of NOAA-AVHRR data and geographical factors for China vegetation classification
    Gao, YC
    Jiang, XG
    Dang, AR
    Niu, Z
    Wang, CY
    [J]. IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1933 - 1935
  • [8] SMOOTHING VEGETATION INDEX PROFILES - AN ALTERNATIVE METHOD FOR REDUCING RADIOMETRIC DISTURBANCE IN NOAA/AVHRR DATA
    VANDIJK, A
    CALLIS, SL
    SAKAMOTO, CM
    DECKER, WL
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1987, 53 (08): : 1059 - 1067
  • [9] Operational estimation of vegetation index (NDVI), vegetation cover and leaf area index using NOAA-AVHRR data in an Alpine Environment
    Wunderle, S
    Oesch, D
    Hauser, A
    Foppa, N
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY V, 2004, 5232 : 20 - 29
  • [10] Spanish vegetation monitoring during the period 1987-2001 using NOAA-AVHRR images
    Gonzalez-Alonso, F
    Cuevas, JM
    Calle, A
    Casanova, JL
    Romo, A
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (01) : 3 - 6