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- W3024688066 abstract "Spectral signature provides unique characteristics of a tree species due to structure of leaf and chlorophyll content. Arid region has many varieties of vegetation species which are useful for livelihood and environment equilibrium. Objective of study was to acquire and examine the spectral charccteristics of the prominent vegetation viz. Azadirachtaindica, Senegalia senegal, Calotropis procera, Acacia nilotica and Capparis Decidua. In-situ spectral signature measurements were accomplished using Handheld Hyperspectral Spectroradiometer (SVC 1024 HR) in the 350-2500nm spectral range. Spectral signatures after processing were analyzed statistically and % reflectance value of every tree sample was map to get a visual conformity for variability of the different vegetation tree species. Various statistically techniques were also used for discrimination and analysis of spectral data. Statistical examination showed that Near-IR and Red waveband regions are optimum to discriminate tree species." @default.
- W3024688066 created "2020-05-21" @default.
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- W3024688066 date "2020-02-01" @default.
- W3024688066 modified "2023-10-18" @default.
- W3024688066 title "Hyperspectral Data Analysis for Desertic Vegetation of Jodhpur Area" @default.
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- W3024688066 doi "https://doi.org/10.1109/icetce48199.2020.9091749" @default.
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