s2_l2a: Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud Optimized GeoTIFFs by element84

All years

Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud Optimized GeoTIFFs by element84

s2_l2a whole collection

Last processed
2,788,078 datasets
  • 22,150,932km2 (approx.)
  • No configured regions
  • 28 CRS

Metadata (eo3)

Common fields

dataset_maturity • instrument msi product_family • region_code •

JSON / GeoJSON

Location 🔗 (samples)

https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a/items/

Measurements 🔗

nodata
uint16 coastal / band_01 / B01 / coastal_aerosol 0
uint16 blue / band_02 / B02 0
uint16 green / band_03 / B03 0
uint16 red / band_04 / B04 0
uint16 rededge1 / band_05 / B05 / red_edge_1 0
uint16 rededge2 / band_06 / B06 / red_edge_2 0
uint16 rededge3 / band_07 / B07 / red_edge_3 0
uint16 nir / band_08 / B08 / nir_1 0
uint16 nir08 / band_8a / B8A / nir_2 0
uint16 nir09 / band_09 / B09 / nir_3 0
uint16 swir16 / band_11 / B11 / swir_1 / swir_16 0
uint16 swir22 / band_12 / B12 / swir_2 / swir_22 0
uint8 scl / SCL / mask / qa 0
uint16 aot / AOT / aerosol_optical_thickness 0
uint16 wvp / WVP / scene_average_water_vapour 0

Total: 15

Definition 🔗

RAW As Stac
name: s2_l2a
license: proprietary
metadata_type: eo3
description: Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud Optimized GeoTIFFs by element84
metadata:
product:
name: s2_l2a
measurements: [
name: coastal
dtype: uint16
units: 1
nodata: 0
aliases: [
band_01
B01
coastal_aerosol
]
add_offset: -0.1
scale_factor: 0.0001
name: blue
dtype: uint16
units: 1
nodata: 0
aliases: [
band_02
B02
]
add_offset: -0.1
scale_factor: 0.0001
name: green
dtype: uint16
units: 1
nodata: 0
aliases: [
band_03
B03
]
add_offset: -0.1
scale_factor: 0.0001
name: red
dtype: uint16
units: 1
nodata: 0
aliases: [
band_04
B04
]
add_offset: -0.1
scale_factor: 0.0001
name: rededge1
dtype: uint16
units: 1
nodata: 0
aliases: [
band_05
B05
red_edge_1
]
add_offset: -0.1
scale_factor: 0.0001
name: rededge2
dtype: uint16
units: 1
nodata: 0
aliases: [
band_06
B06
red_edge_2
]
add_offset: -0.1
scale_factor: 0.0001
name: rededge3
dtype: uint16
units: 1
nodata: 0
aliases: [
band_07
B07
red_edge_3
]
add_offset: -0.1
scale_factor: 0.0001
name: nir
dtype: uint16
units: 1
nodata: 0
aliases: [
band_08
B08
nir_1
]
add_offset: -0.1
scale_factor: 0.0001
name: nir08
dtype: uint16
units: 1
nodata: 0
aliases: [
band_8a
B8A
nir_2
]
add_offset: -0.1
scale_factor: 0.0001
name: nir09
dtype: uint16
units: 1
nodata: 0
aliases: [
band_09
B09
nir_3
]
add_offset: -0.1
scale_factor: 0.0001
name: swir16
dtype: uint16
units: 1
nodata: 0
aliases: [
band_11
B11
swir_1
swir_16
]
add_offset: -0.1
scale_factor: 0.0001
name: swir22
dtype: uint16
units: 1
nodata: 0
aliases: [
band_12
B12
swir_2
swir_22
]
add_offset: -0.1
scale_factor: 0.0001
name: scl
dtype: uint8
units: 1
nodata: 0
aliases: [
SCL
mask
qa
]
flags_definition:
qa:
bits: [
0
1
2
3
4
5
6
7
]
values:
0: no data
1: saturated or defective
2: dark area pixels
3: cloud shadows
4: vegetation
5: bare soils
6: water
7: unclassified
8: cloud medium probability
9: cloud high probability
10: thin cirrus
11: snow or ice
description: Sen2Cor Scene Classification
name: aot
dtype: uint16
units: 1
nodata: 0
aliases: [
AOT
aerosol_optical_thickness
]
add_offset: 0
scale_factor: 0.001
name: wvp
dtype: uint16
units: cm
nodata: 0
aliases: [
WVP
scene_average_water_vapour
]
add_offset: 0
scale_factor: 0.001
]