Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment

New and improved satellite sensors specially designed for vegetation monitoring have been launched in recent years; including the Moderate Resolution Imaging Spectrometer (MODIS) onboard Terra and Aqua, the Medium Resolution Imaging Spectrometer (MERIS) on the ENVISAT satellite, and VEGETATION onboard the Systeme Pour l'Observation de la Terre (SPOT) satellite. The aim of this paper is to evaluate two different vegetation indices of these new sensors; the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). This is done by radiometric in situ measurements covering natural grass savanna in Senegal. Variations in the dynamic range of in situ NDVI was found caused by the differences in spectral response functions, MERIS NDVI characterized by the largest dynamic range. Both daily MERIS and MODIS NDVI mirrored accurately in situ measured NDVI (MERIS r2 =0.97 and MODIS r2=0.96). VEGETATION NDVI (only available as ten-day composites) was found to be significantly lower than MODIS NDVI due to lower VEGETATION near-infrared (NIR) reflectance values. A good agreement between the NDVI/EVI relation from satellite and from in situ measured MODIS NDVI/EVI was found. This indicates an accurate atmospheric correction of the MODIS red, NIR, and blue spectral bands, also confirmed by in situ measured reflectances. EVI is sensitive to variations in blue band reflectance, and the consistency between EVI from the different sensors is reduced when compared to NDVI due to the different atmospheric correction schemes of the blue band. Thus, it is recommended that vegetation index cross-sensor algorithms should be based on NDVI over EVI

[1]  Yoram J. Kaufman,et al.  Atmospheric Effects On Remote Sensing Of Surface Reflectance , 1984, Other Conferences.

[2]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[3]  Xiaoxiong Xiong,et al.  On-orbit performance of the Earth Observing System Moderate Resolution Imaging Spectroradiometer; first year of data , 2002 .

[4]  Rasmus Fensholt,et al.  The spatio-temporal relationship between rainfall and vegetation development in Burkina Faso , 1999 .

[5]  Didier Tanré,et al.  Atmospherically resistant vegetation index (ARVI) for EOS-MODIS , 1992, IEEE Trans. Geosci. Remote. Sens..

[6]  P. M. Teilleta,et al.  A generalized approach to the vicarious calibration of multiple Earth observation sensors using hyperspectral data , 2001 .

[7]  R. Fensholt,et al.  Evaluation of AVHRR PAL and GIMMS 10‐day composite NDVI time series products using SPOT‐4 vegetation data for the African continent , 2006 .

[8]  A. Huete,et al.  Normalization of multidirectional red and NIR reflectances with the SAVI , 1992 .

[9]  A. Huete,et al.  Optical-Biophysical Relationships of Vegetation Spectra without Background Contamination , 2000 .

[10]  X. Passot VEGETATION image processing methods in the CTIV , 2000 .

[11]  James Rowland,et al.  Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis , 2004 .

[12]  P. Teillet Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions , 1997 .

[13]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[14]  G. Dedieu,et al.  SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum , 1994 .

[15]  A. Bégué Leaf area index, intercepted photosynthetically active radiation, and spectral vegetation indices: A sensitivity analysis for regular-clumped canopies , 1993 .

[16]  David P. Roy,et al.  MODIS land data storage, gridding, and compositing methodology: Level 2 grid , 1998, IEEE Trans. Geosci. Remote. Sens..

[17]  Jean Valenza,et al.  Etude des pâturages naturels du Nord Sénégal , 1972 .

[18]  B. Duchemin,et al.  VEGETATION/SPOT: an operational mission for the Earth monitoring; presentation of new standard products , 2004 .

[19]  D. Hodáňová An introduction to environmental biophysics , 1979, Biologia Plantarum.

[20]  Garik Gutman,et al.  Vegetation indices from AVHRR: An update and future prospects , 1991 .

[21]  A. Huete,et al.  Scaling dependencies and uncertainties in vegetation index - biophysical retrievals in heterogeneous environments , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[22]  A. Gitelson,et al.  Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll , 1996 .

[23]  C. Justice,et al.  The effect of water vapour on the normalized difference vegetation index derived for the Sahelian region from NOAA AVHRR data , 1991 .

[24]  D. Deering Rangeland reflectance characteristics measured by aircraft and spacecraft sensors , 1979 .

[25]  G. Chow Tests of equality between sets of coefficients in two linear regressions (econometrics voi 28 , 1960 .

[26]  Rasmus Fensholt,et al.  Earth observation of vegetation status in the Sahelian and Sudanian West Africa: comparison of Terra MODIS and NOAA AVHRR satellite data , 2004 .

[27]  C. Tucker,et al.  Interannual variations in satellite-sensed vegetation index data from 1981 to 1991 , 1998 .

[28]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[29]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[30]  Amy E. Parker Williams,et al.  Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering , 2002 .

[31]  M. Rast,et al.  The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission , 1999 .

[32]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[33]  A. Huete,et al.  A review of vegetation indices , 1995 .

[34]  Lars Eklundh,et al.  Vegetation index trends for the African Sahel 1982–1999 , 2003 .

[35]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[36]  M. A. Pizarro,et al.  An adequate band positioning to enhance NDVI contrasts among green vegetation, senescent biomass, and tropical soils , 2000 .

[37]  Rasmus Fensholt,et al.  Evaluation of MODIS and NOAA AVHRR vegetation indices with in situ measurements in a semi‐arid environment , 2005 .

[38]  Philip Lewis,et al.  Topographic effects in AVHRR NDVI data , 1995 .

[39]  H. S. Andersen,et al.  Estimation of precipitable water vapour from NOAA-AVHRR data during the Hapex Sahel experiment , 1996 .

[40]  Stephen D. Prince,et al.  Spectral modelling of multicomponent landscapes in the Sahel , 1991 .

[41]  C. Tucker,et al.  Expansion and Contraction of the Sahara Desert from 1980 to 1990 , 1991, Science.

[42]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[43]  Markus Reichstein,et al.  Similarities in ground- and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland , 2004 .

[44]  B. Holben,et al.  NOAA-11 AVHRR visible and near-IR inflight calibration , 1990 .

[45]  W. Gao,et al.  A simple bidirectional-reflectance model applied to a tallgrass canopy , 1993 .

[46]  J. Ross The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.

[47]  Alan H. Strahler,et al.  The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..

[48]  Giampiero Maracchi,et al.  Processing of GAC NDVI data for yield forecasting in the Sahelian region , 2000 .

[49]  Barron J. Orr,et al.  Spectral vegetation indices and uncertainty: insights from a user's perspective , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[50]  B. Holben Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[51]  J. Monteith,et al.  The Radiation Regime and Architecture of Plant Stands. , 1983 .

[52]  Yann Kerr,et al.  Geographical, biological and remote sensing aspects of the hydrologic atmospheric pilot experiment in the sahel (HAPEX-Sahel) , 1995 .

[53]  Josef Cihlar,et al.  Evaluation of compositing algorithms for AVHRR data over land , 1994, IEEE Trans. Geosci. Remote. Sens..

[54]  Frédéric Baret,et al.  Intercalibration of vegetation indices from different sensor systems , 2003 .

[55]  D. Roy,et al.  Achieving sub-pixel geolocation accuracy in support of MODIS land science , 2002 .

[56]  J. Cihlar,et al.  Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors , 2002 .

[57]  A. Diouf,et al.  AVHRR monitoring of savanna primary production in Senegal, West Africa: 1987-1988 , 1991 .

[58]  D. Fuster,et al.  VEGETATION geometrical image quality , 2000 .

[59]  B. Hapke,et al.  The cause of the hot spot in vegetation canopies and soils: Shadow-hiding versus coherent backscatter , 1996 .