Modified Simple Ratio 705,750 is a vegetation index that uses the red-edge spectral region to assess vegetation characteristics, particularly chlorophyll content. It calculates the normalized difference between reflectance at 750nm and 705nm wavelengths.

Used in crop monitoring.

When to use

  • Time-series monitoring of crop health, growth stages, and stress detection
  • Land cover classification and vegetation type discrimination
  • Biomass estimation and net primary productivity studies
  • Drought impact assessment over agricultural and forest areas
  • Phenology tracking — green-up, peak season, and senescence
  • chlorophyll content estimation
  • vegetation health monitoring

Limitations

  • Saturates in dense canopies (LAI > 3) — values plateau and lose discrimination ability
  • Sensitive to atmospheric scattering, especially blue-band haze
  • Soil background contaminates measurements in sparsely vegetated areas
  • Sun-sensor geometry (BRDF effects) introduces variability across acquisitions
  • Cloud cover and shadows produce invalid pixels that need masking

What the values mean

-1 Water / Snow
-0.1 Bare ground / Built-up
0.1 Sparse / Stressed
0.3 Moderate vegetation
0.5 Healthy vegetation
0.7 Dense canopy
Surface typeTypical MSR705
Open water, snow-0.3 to -0.1
Bare soil, urban-0.1 to 0.2
Sparse or stressed crops0.2 to 0.4
Healthy crops, grassland0.4 to 0.7
Dense forest, peak season0.7 to 0.9

General Formula

705 705
750 750

Sensor-Specific Formulas

Most-used sensors — click to show code below

SensorProviderFormulaBand Mapping
Wyvern(Band 20 - Band 16) / (Band 20 + Band 16)705→Band 16, 750→Band 20
ESA(B6 - B5) / (B6 + B5)705→B5, 750→B6

Spectral Band Visualization — Dragonette-1

Code Examples

Adapted for Dragonette-1 bands —

msr705_750_dragonette-001.py

Frequently Asked Questions

What is the MSR705 (Modified Simple Ratio 705,750) and when should I use it?

Modified Simple Ratio 705,750 is a vegetation index that uses the red-edge spectral region to assess vegetation characteristics, particularly chlorophyll content. It calculates the normalized difference between reflectance at 750nm and 705nm wavelengths. Vegetation indices quantify plant health, biomass, and photosynthetic activity by exploiting the contrast between how plants absorb visible light for photosynthesis and reflect near-infrared radiation from their cellular structure. MSR705 is particularly suited for chlorophyll content estimation, vegetation health monitoring, red-edge analysis. The general formula is (750nm - 705nm) / (750nm + 705nm), which requires 705 and 750 spectral bands.

Which satellite sensors can I use to calculate MSR705?

MSR705 is supported by 4 satellite sensors in our database, including Dragonette-1, Dragonette-2/3, GeoEye-1, Sentinel-2. Each sensor uses different band designations — for example, Dragonette-1 uses the formula (Band 20 - Band 16) / (Band 20 + Band 16), while Dragonette-2/3 uses (Band24 - Band20) / (Band24 + Band20). Select a sensor above to see its specific band mapping.

What spectral bands does MSR705 require and why?

MSR705 requires 705 (705), 750 (750). Vegetation strongly absorbs red light for photosynthesis while reflecting near-infrared light from its mesophyll cell structure, making this contrast a reliable indicator of plant vigour.

How do I calculate MSR705 in Python or R?

Both Python and R code samples are provided above. In Python, use rasterio to load individual band GeoTIFF files and numpy for the arithmetic. In R, the terra package handles raster operations efficiently. The key is to load bands as floating-point arrays to avoid integer division, and to handle division-by-zero cases where the denominator equals zero. For production use, consider applying a valid data mask to exclude no-data pixels before calculation.

How does MSR705 compare to NDVI and other vegetation indices?

While NDVI is the most common vegetation index, MSR705 provides complementary information that NDVI cannot capture on its own. The choice of index depends on your application, sensor availability, and atmospheric conditions.

MSR705 vs other vegetation indices

IndexNameHow it differs
ARIAnthocyanin Reflectance IndexAlternative vegetation index — different band combination
mARIModified Anthocyanin Reflectance IndexRefined formulation for specific conditions
ARVIAtmospherically Resistant Vegetation IndexAtmospherically corrected version
ARVI2Atmospherically Resistant Vegetation Index 2Atmospherically corrected version

Related Vegetation Indices

References

Wu et al. (2008) - Estimating chlorophyll content from hyperspectral vegetation indices

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