Modified Vegetation Detection Index Using Different-Spectral Signature

  • Reem Sh. Hameed Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
  • Loay E. Georg Department of Remote Sensing and GIS, College of Science, University of Baghdad. Baghdad, Iraq
  • Baqer H. Sayyid Department of Remote Sensing and GIS, College of Science, University of Baghdad. Baghdad, Iraq
Keywords: vegetation index, NDVI, reflectance spectrum, remote sensing

Abstract

The Normalization Difference Vegetation Index (NDVI), for many years, was widely used in remote sensing for the detection of vegetation land cover. This index uses red channel radiances (i.e., 0.66 μm reflectance) and near-IR channel (i.e., 0.86 μm reflectance). In the heavy chlorophyll absorption area, the red channel is located, while in the high reflectance plateau of vegetation canopies, the Near-IR channel is situated. Senses of channels (Red & Near- IR) read variance depths over vegetation canopies. In the present study, a further index for vegetation identification is proposed. The normalized difference vegetation shortwave index (NDVSI) is defined as the difference between the cubic bands of Near- IR and Shortwave infrared radiation (SWIR) divided by their sums. The radiances or reflectances are included in this index from the Near-IR channel and WSIR2 channel (2.1 μm). The NDVSI is less sensitivite to atmospheric effects as compared to NDVI. By comparing the one NDVSI index with the two indexes (NDVI, SAVI) of vegetation cover, good correlations were found between NDVI  and NDVSI (R2=0.917) and between SAVI and NDVSI (R2=0.809. Accordingly, the proposed index can be taken into consideration as an independent vegetation index

Published
2021-11-30
How to Cite
Hameed, R. S., Georg, L. E., & Sayyid, B. H. (2021). Modified Vegetation Detection Index Using Different-Spectral Signature. Iraqi Journal of Science, 62(11), 4208-4217. https://doi.org/10.24996/ijs.2021.62.11.38
Section
Remote Sensing