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
Highlights
The physical properties of soil, water, and vegetation in terrestrial environments are revealed by the spectral structure of radiant flux emitted from the Earth's surface [1]
This part focuses on the comparisons between the vegetation indexes in the ability to detect the vegetation. 3.1 Results The determined linear correlation coefficients between NDVI index values and the vegetation indexes values were determined using Landsat-8 satellite image (Dated (18/2/2017), Path169, Row 37 and the Coordinates system UTM_zone 38N, Top=3789615, Left=245985, Right=478515, and Bottom=3553185) for the selected study area
The results showed that the correlation coefficient NDVI index and NDVSI index is (R2=0.9122) and that the correlation coefficient SAVI index and NDVSI index is (R2=0.9122)
Summary
The physical properties of soil, water, and vegetation in terrestrial environments are revealed by the spectral structure of radiant flux emitted from the Earth's surface [1]. From the spectral vegetation curve, it is found the reflectance in the visible bands is relatively poor, as the leaf pigments absorb the majority of light [3]. Due to the cellular structure of the leaves and the particular spongy mesophyll, the reflectivity in the near-infrared (NIR) band is higher as compared to the visible band. The high NIR reflectance and generally low visible reflectance can readily distinguish healthy vegetation, whereas the reflectance of the infrared wavelengths of the shortwave is associated with water content and structural vegetation. The reflectivity of leaves usually rises beyond these absorption bands, in the SWIR band, as the water content in the leaf decreases, which is shown in Figure (1) [3,4,5]
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