The Carbonate Index (CI) is a thermal-infrared index defined for ASTER TIR bands to
enhance carbonate-rich rocks (limestone, dolomite) using the emissivity contrast between
band 13 and band 14.
مؤشر الكربونات (Carbonate Index) لتمييز الصخور الغنية بالكربونات مثل الحجر الجيري
والدولوميت باستخدام نطاقات الحرارة الحرارية لأقمار ASTER.
1. Scientific Definition
The Carbonate Index (CI) exploits the diagnostic absorption features of
carbonate minerals in the thermal infrared region. Carbonate rocks typically show lower
emissivity (stronger absorption) around ~11.3 μm (ASTER band 14) and relatively higher
emissivity near ~10.6 μm (ASTER band 13).
Formula
A widely used definition for ASTER TIR data is:
CARBONATE (CI) = Band13 / Band14CI > 1.04 → high probability carbonate (low WV)
Band13 – ASTER TIR band centered around ~10.6 μm
Band14 – ASTER TIR band centered around ~11.3 μm
Typical Interpretation
CI (Band13 / Band14)
Interpretation
< 1.00
Non-carbonate lithologies (silicic rocks, mafic rocks, most silicates)
1.00 – 1.04
Mixed pixels / possible weak carbonate signal
> 1.04
High carbonate content (limestone, dolostone) – under low water vapor
Thresholds such as CI > 1.04 are empirical and depend on atmospheric water vapor and
scene conditions. They should be calibrated with field / lithologic data in each study area.
Main Applications
Regional mapping of carbonate formations (limestone, dolomite)
Exploration for carbonate-hosted ore deposits
Supporting lithologic classification from ASTER TIR data
Combining with Quartz Index (QI) and Mafic Index (MI) for lithologic discrimination
2. Data & Bands
ASTER TIR (Thermal Infrared)
Band 13: ~10.6 μm (TIR)
Band 14: ~11.3 μm (TIR)
Spatial resolution: ~90 m (native ASTER TIR)
Recommended Source in Google Earth Engine
NASA/ASTER_GED/AG100_003 – Global emissivity dataset (bands 10–14)
Uses mean emissivity per ASTER TIR band (2000–2008) at 100 m resolution
Best Practices
Use emissivity (not raw radiance) where possible for more robust mineral mapping.
Restrict analysis to sparsely vegetated / bare rock areas (low NDVI).
Mask water bodies and clouds prior to index computation.
Calibrate CI thresholds using known carbonate outcrops and geological maps.