A water index — 0 compatible sensors — Last revised June 1, 2025
PWI
Plant Water Index
A water stress index that quantifies relative water content at the leaf level. The ratio of 970nm to 900nm reflectance is sensitive to water absorption features and provides information about plant water status.
Used in crop monitoring, and water detection.
When to use
- Permanent and seasonal water body delineation
- Flood mapping and emergency response
- Wetland inventory and change detection
- Reservoir and lake water level monitoring
- Coastal shoreline change analysis
- Plant water content assessment
- Water stress detection
Limitations
- Dark surfaces (shadows, asphalt, dark soils) can produce false positives
- Suspended sediments and algae alter spectral response in shallow water
- Mixed pixels at water boundaries reduce edge accuracy
- Atmospheric correction quality directly impacts threshold selection
- Sun glint over open water can saturate sensors and bias values
What the values mean
-1 Definitely not water
-0.3 Dry / built-up surface
0 Possible moisture / wet soil
0.3 Open water
0.6 Deep / clear water
| Surface type | Typical PWI |
|---|---|
| Built-up, asphalt | -0.5 to -0.2 |
| Bare soil, vegetation | -0.2 to 0 |
| Wet soil, flooded fields | 0 to 0.3 |
| Open water, lakes | 0.3 to 0.7 |
General Formula
nir_900 900
nir_970 970
Sensor-Specific Formulas
Most-used sensors — click to show code below
| Sensor | Provider | Formula | Band Mapping |
|---|
Code Examples
pwi_generic.py
PWI vs other water indices
| Index | Name | How it differs |
|---|---|---|
| LSWI | Land Surface Water Index | Alternative water index — different band combination |
| LWVI-1 | Leaf Water Vegetation Index 1 | Alternative water index — different band combination |
| LWVI-2 | Leaf Water Vegetation Index 2 | Alternative water index — different band combination |
| MNDWI | Modified Normalized Difference Water Index | Refined formulation for specific conditions |
Related Water Indices
References
Peñuelas et al. (1993). The reflectance at the 950–970 nm region as an indicator of plant water status.
Datt (1999). Remote Sensing of Water Content in Eucalyptus Leaves.
Ceccato et al. (2002). Designing a spectral index to estimate vegetation water content from remote sensing data.
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