Multi-Sensor Comparison#
Compare vegetation indices across different satellite sensors.
Overview#
Different sensors have different characteristics:
Spatial resolution: Detail level
Temporal resolution: Revisit frequency
Spectral bands: Available wavelengths
Data availability: Historical coverage
Quick Comparison#
Sensor |
Resolution |
Revisit |
Start Date |
Free |
|---|---|---|---|---|
Sentinel-2 |
10m |
5 days |
2015 |
Yes |
Sentinel-1 |
10m |
6-12 days |
2014 |
Yes |
Landsat 8/9 |
30m |
16 days |
2013 |
Yes |
MODIS |
500m |
Daily |
2000 |
Yes |
Example: Comparing S2 and Landsat#
import ee
from ndvi2gif import NdviSeasonality
ee.Initialize()
roi = ee.Geometry.Point([-3.7, 40.4]).buffer(5000)
# Sentinel-2
s2_ndvi = NdviSeasonality(
roi=roi,
sat='S2',
periods=12,
start_year=2023,
end_year=2024,
index='ndvi',
key='median'
)
# Landsat 8
l8_ndvi = NdviSeasonality(
roi=roi,
sat='L8',
periods=12,
start_year=2023,
end_year=2024,
index='ndvi',
key='median'
)
# Get composites
s2_composite = s2_ndvi.get_year_composite(year=2023)
l8_composite = l8_ndvi.get_year_composite(year=2023)
Complete tutorial coming soon…