s2_l2a

product of type eo3
Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud Optimized GeoTIFFs

Extending November 2016 to September 2021
2,185,474 datasets

Location (from sampling)

s3:/deafrica-sentinel-2/sentinel-s2-l2a-cogs
  • s3://deafrica-sentinel-2/sentinel-s2-l2a-cogs/28/P/CB/2017/2/S2A_28PCB_20170207_0_L2A/S2A_28PCB_20170207_0_L2A.json
  • s3://deafrica-sentinel-2/sentinel-s2-l2a-cogs/34/Q/GE/2017/3/S2A_34QGE_20170301_0_L2A/S2A_34QGE_20170301_0_L2A.json
  • s3://deafrica-sentinel-2/sentinel-s2-l2a-cogs/41/K/NU/2018/6/S2B_41KNU_20180602_0_L2A/S2B_41KNU_20180602_0_L2A.json
    • …

Metadata

collection_category • crs_raw • eo_gsd 10.0 eo_sun_azimuth • eo_sun_elevation • format GeoTIFF instrument MSI label • product_family • rmse • rmse_x • rmse_y • sat_orbit_state • sat_relative_orbit •

Searchable fields

cloud_cover double Cloud cover percentage [0, 100]
creation_time datetime Time when dataset was created (processed)
data_coverage double How much data is in the scene
lat double-range Latitude range
lon double-range Longitude range
platform string Platform code
region_code string Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share.
time datetime-range Acquisition time range

Measurements

B01 / band_01 / coastal_aerosol uint16 with units 1 and nodata 0
B02 / band_02 / blue uint16 with units 1 and nodata 0
B03 / band_03 / green uint16 with units 1 and nodata 0
B04 / band_04 / red uint16 with units 1 and nodata 0
B05 / band_05 / red_edge_1 uint16 with units 1 and nodata 0
B06 / band_06 / red_edge_2 uint16 with units 1 and nodata 0
B07 / band_07 / red_edge_3 uint16 with units 1 and nodata 0
B08 / band_08 / nir / nir_1 uint16 with units 1 and nodata 0
B8A / band_8a / nir_narrow / nir_2 uint16 with units 1 and nodata 0
B09 / band_09 / water_vapour uint16 with units 1 and nodata 0
B11 / band_11 / swir_1 / swir_16 uint16 with units 1 and nodata 0
B12 / band_12 / swir_2 / swir_22 uint16 with units 1 and nodata 0
SCL / mask / qa uint8 with units 1 and nodata 0
AOT / aerosol_optical_thickness uint16 with units 1 and nodata 0
WVP / scene_average_water_vapour uint16 with units 1 and nodata 0

Definition

RAW As Stac
name: s2_l2a
metadata_type: eo3
description: Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud Optimized GeoTIFFs
metadata:
product:
name: s2_l2a
measurements: [
name: B01
dtype: uint16
units: 1
nodata: 0
aliases: [
band_01
coastal_aerosol
]
name: B02
dtype: uint16
units: 1
nodata: 0
aliases: [
band_02
blue
]
name: B03
dtype: uint16
units: 1
nodata: 0
aliases: [
band_03
green
]
name: B04
dtype: uint16
units: 1
nodata: 0
aliases: [
band_04
red
]
name: B05
dtype: uint16
units: 1
nodata: 0
aliases: [
band_05
red_edge_1
]
name: B06
dtype: uint16
units: 1
nodata: 0
aliases: [
band_06
red_edge_2
]
name: B07
dtype: uint16
units: 1
nodata: 0
aliases: [
band_07
red_edge_3
]
name: B08
dtype: uint16
units: 1
nodata: 0
aliases: [
band_08
nir
nir_1
]
name: B8A
dtype: uint16
units: 1
nodata: 0
aliases: [
band_8a
nir_narrow
nir_2
]
name: B09
dtype: uint16
units: 1
nodata: 0
aliases: [
band_09
water_vapour
]
name: B11
dtype: uint16
units: 1
nodata: 0
aliases: [
band_11
swir_1
swir_16
]
name: B12
dtype: uint16
units: 1
nodata: 0
aliases: [
band_12
swir_2
swir_22
]
name: SCL
dtype: uint8
units: 1
nodata: 0
aliases: [
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: [
aerosol_optical_thickness
]
name: WVP
dtype: uint16
units: 1
nodata: 0
aliases: [
scene_average_water_vapour
]
]