Overview of the radiometric and biophysical performance of the MODIS vegetation indices

被引:6299
|
作者
Huete, A [1 ]
Didan, K
Miura, T
Rodriguez, EP
Gao, X
Ferreira, LG
机构
[1] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85721 USA
[2] Univ Fed Goias, BR-74001970 Goiania, Go, Brazil
关键词
D O I
10.1016/S0034-4257(02)00096-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We evaluated the initial 12 months of vegetation index product availability from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Earth Observing System-Terra platform. Two MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), are produced at 1-km and 500-m resolutions and 16-day compositing periods. This paper presents an initial analysis of the MODIS NDVI and EVI performance from both radiometric and biophysical perspectives. We utilize a combination of site-intensive and regionally extensive approaches to demonstrate the performance and validity of the two indices. Our results showed a good correspondence between airborne-measured, top-of-canopy reflectances and VI values with those from the MODIS sensor at four intensively measured test sites representing semi-arid grass/shrub, savanna, and tropical forest biomes. Simultaneously derived field biophysical measures also demonstrated the scientific utility of the MODIS VI. Multitemporal profiles of the MODIS VIs over numerous biome types in North and South America well represented their seasonal phenologies. Comparisons of the MODIS-NDVI with the NOAA-14, 1-km AVHRR-NDVI temporal profiles showed that the MODIS-based index performed with higher fidelity. The dynamic range of the MODIS VIs are presented and their sensitivities in discriminating vegetation differences are evaluated in sparse and dense vegetation areas. We found the NDVI to asymptotically saturate in high biomass regions such as in the Amazon while the EVI remained sensitive to canopy variations. (C) 2002 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:195 / 213
页数:19
相关论文
共 50 条
  • [1] An overview of MODIS radiometric calibration and characterization
    Xiong, XX
    Barnes, W
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2006, 23 (01) : 69 - 79
  • [2] An Overview of MODIS Radiometric Calibration and Characterization
    William BARNES
    [J]. Advances in Atmospheric Sciences, 2006, (01) : 69 - 79
  • [3] An overview of MODIS radiometric calibration and characterization
    Xiaoxiong Xiong
    William Barnes
    [J]. Advances in Atmospheric Sciences, 2006, 23 : 69 - 79
  • [4] ASSESSING THE PERFORMANCE OF RELATIVE RADIOMETRIC NORMALIZATION METHODS FOR SOME VEGETATION INDICES
    Vorovencii, Iosif
    Teresneu, Cristian Cornel
    Vasilescu, Maria Magdalena
    [J]. GEOCONFERENCE ON INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL III, 2014, : 27 - 34
  • [5] Multisensor Comparisons for Validation of MODIS Vegetation Indices
    CHENG Qian Department of Environmental Resources Management & City Planning
    [J]. Pedosphere, 2006, (03) : 362 - 370
  • [6] Multisensor comparisons for validation of MODIS vegetation indices
    Cheng Qian
    [J]. PEDOSPHERE, 2006, 16 (03) : 362 - 370
  • [7] Modis vegetation indices applied to soybean area discrimination
    Risso, Joel
    Rizzi, Rodrigo
    Theodor Rudorff, Bernardo Friedrich
    Adami, Marcos
    Shimabukuro, Yosio Edemir
    Formaggio, Antonio Roberto
    Epiphanio, Rui Dalla Valle
    [J]. PESQUISA AGROPECUARIA BRASILEIRA, 2012, 47 (09) : 1317 - 1326
  • [8] Evaluation of GLI reflectance and vegetation indices with MODIS products
    Yamamoto, H
    Hashimoto, T
    Seki, M
    Yuda, N
    Mitomi, Y
    Yoshioka, H
    Honda, Y
    Igarashi, T
    [J]. IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 5584 - 5587
  • [9] Evaluation of sensor calibration uncertainties on vegetation indices for MODIS
    Miura, T
    Huete, AR
    Yoshioka, H
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (03): : 1399 - 1409
  • [10] Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices
    Zhang, Hongxin
    Wang, Xiaoyue
    Peng, Dailiang
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2022, 88 (07): : 461 - 467