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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. / Fensholt, Rasmus; Sandholt, Inge; Stisen, Simon.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 7, 1645278, 07.2006, p. 1774-1786.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Fensholt, R, Sandholt, I & Stisen, S 2006, 'Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment', IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 7, 1645278, pp. 1774-1786. https://doi.org/10.1109/TGRS.2006.875940

APA

Fensholt, R., Sandholt, I., & Stisen, S. (2006). Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1774-1786. [1645278]. https://doi.org/10.1109/TGRS.2006.875940

Vancouver

Fensholt R, Sandholt I, Stisen S. Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. IEEE Transactions on Geoscience and Remote Sensing. 2006 Jul;44(7):1774-1786. 1645278. https://doi.org/10.1109/TGRS.2006.875940

Author

Fensholt, Rasmus ; Sandholt, Inge ; Stisen, Simon. / Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment. In: IEEE Transactions on Geoscience and Remote Sensing. 2006 ; Vol. 44, No. 7. pp. 1774-1786.

Bibtex

@article{207bf17b8f9747f9b96bf6eece771d06,
title = "Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment",
abstract = "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.",
keywords = "Grassland, In situ measurements Medium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectrometer (MODIS), Senegal, VEGETATION, Vegetation index",
author = "Rasmus Fensholt and Inge Sandholt and Simon Stisen",
year = "2006",
month = jul,
doi = "10.1109/TGRS.2006.875940",
language = "English",
volume = "44",
pages = "1774--1786",
journal = "IEEE Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
publisher = "Institute of Electrical and Electronics Engineers",
number = "7",

}

RIS

TY - JOUR

T1 - Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment

AU - Fensholt, Rasmus

AU - Sandholt, Inge

AU - Stisen, Simon

PY - 2006/7

Y1 - 2006/7

N2 - 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.

AB - 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.

KW - Grassland

KW - In situ measurements Medium Resolution Imaging Spectrometer (MERIS)

KW - Moderate Resolution Imaging Spectrometer (MODIS)

KW - Senegal

KW - VEGETATION

KW - Vegetation index

UR - http://www.scopus.com/inward/record.url?scp=33746324527&partnerID=8YFLogxK

U2 - 10.1109/TGRS.2006.875940

DO - 10.1109/TGRS.2006.875940

M3 - Journal article

AN - SCOPUS:33746324527

VL - 44

SP - 1774

EP - 1786

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 7

M1 - 1645278

ER -

ID: 251636217