Using Vegetation Indices (NDVI, RVI, IPVI, and DVI) to Detect Physical and Chemical Parameters from Landsat-8(OLI) Image when Pixel Mixing Soil,Vegetation, and Water
Journal Title: Scholars Journal of Engineering and Technology - Year 2017, Vol 5, Issue 11
Abstract
Remote sensing provides an active and reliable means of collecting the data required, so as to map water quality. Besides providing an overall view, remote sensing can supply structure information about the parameters of water. The spectral reflectance of a field will vary with respect to changes in the sun elevation, season, and Quantities of clouds in the scene, and thus can be measured by multispectral sensors (OLI). In the present study NDVI, RVI, IPVI, and DVI have been used to identify 11 parameters included: acidity (PH), Total Dissolved Solids (TDS), Alkalinity(ALK), Electrical Conductivity (E.C), Calcium(Ca), Chloride (CL), Sodium (Na), Sulfate (SO4), Potassium (k), Total suspended solid (T.S.S), Total Hardness (TH) for Gharraf stream. The samples were taken to five stations with two seasons and at the same time took a satellite image on 4/FEB, 11 / MAY, where the five stations were represented reach of the stream (15-20) m width. This reach was correspondent to less than one pixel. The results show physical and chemical parameters cannot be calculated using vegetation index from Landsat-8 (OLI) images.
Authors and Affiliations
Modher H. Abd, Dr. Mustafa T. Mustafa, Dr. Khalid I. Hassoon, Dr. Hussain M. Hussain
Keywords
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