A spectral signatures database of major crops in the East Mediterranean basin was created to support remote sensing applications specifically satellite hyperspectral and multispectral image classification. Moreover, it can be used to compute many important hyperspectral vegetation indices such as:

Atmospherically Resistant Vegetation Index (ARVI)

Modified Chlorophyll Absorption Ratio Index (MCARI)

Modified Chlorophyll Absorption Ratio Index - Improved (MCARI2)

Dataset Files

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[1] Mohamad Awad, "Spectral Signatures", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/by17-5g53. Accessed: Jul. 22, 2024.
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doi = {10.21227/by17-5g53},
url = {http://dx.doi.org/10.21227/by17-5g53},
author = {Mohamad Awad },
publisher = {IEEE Dataport},
title = {Spectral Signatures},
year = {2023} }
TY - DATA
T1 - Spectral Signatures
AU - Mohamad Awad
PY - 2023
PB - IEEE Dataport
UR - 10.21227/by17-5g53
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Mohamad Awad. (2023). Spectral Signatures. IEEE Dataport. http://dx.doi.org/10.21227/by17-5g53
Mohamad Awad, 2023. Spectral Signatures. Available at: http://dx.doi.org/10.21227/by17-5g53.
Mohamad Awad. (2023). "Spectral Signatures." Web.
1. Mohamad Awad. Spectral Signatures [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/by17-5g53
Mohamad Awad. "Spectral Signatures." doi: 10.21227/by17-5g53