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Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-density Cypress Forest

Sensors · 2007 · Vol. 7(11) · pp. 2636–2651
Bunkei MatsushitaWei YangJin ChenYuichi OndaGuoyu Qiu

Abstract

Vegetation indices play an important role in monitoring variations in vegetation.The Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Groupand the Normalized Difference Vegetation Index (NDVI) are both global-based vegetationindices aimed at providing consistent spatial and temporal information regarding globalvegetation. However, many environmental factors such as atmospheric conditions and soilbackground may produce errors in these indices. The topographic effect is another veryimportant factor, especially when the indices are used in areas of rough terrain. In thispaper, we theoretically analyzed differences in the topographic effect on the EVI and theNDVI based on a non-Lambertian model and two airborne-based images acquired from amountainous area covered by high-density Japanese cypress plantation were used as a casestudy. The results indicate that the soil adjustment factor "L" in the EVI makes it moresensitive to topographic conditions than is the NDVI. Based on these results, we stronglyrecommend that the topographic effect should be removed in the reflectance data beforethe EVI was calculated-as well as from other vegetation indices that similarly include a term without a band ratio format (e.g., the PVI and SAVI)-when these indices are used in the area of rough terrain, where the topographic effect on the vegetation indices having only a band ratio format (e.g., the NDVI) can usually be ignored.

Remote Sensing in AgricultureLand Use and Ecosystem ServicesRemote Sensing and LiDAR ApplicationsNormalized Difference Vegetation IndexEnhanced vegetation indexTerrainVegetation (pathology)Vegetation IndexEnvironmental scienceRemote sensingElevation (ballistics)Index (typography)Leaf area index

Funding

  • Ministry of Education, Culture, Sports, Science and Technology
  • Japan Society for the Promotion of Science
  • Core Research for Evolutional Science and Technology
Citations
791
FWCI
4.15
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References
28
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94%
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References
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Remote Sensing of Environment · 1988 · 7,513 citations
A comparison of vegetation indices over a global set of TM images for EOS-MODIS
Remote Sensing of Environment · 1997 · 1,969 citations
Potentials and limits of vegetation indices for LAI and APAR assessment
Remote Sensing of Environment · 1991 · 1,939 citations
A feedback based modification of the NDVI to minimize canopy background and atmospheric noise
IEEE Transactions on Geoscience and Remote Sensing · 1995 · 1,168 citations
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