ls9_sr: USGS Landsat 9 Collection 2 Level-2 Surface Reflectance

2023

December

8th

USGS Landsat 9 Collection 2 Level-2 Surface Reflectance

ls9_sr on 8th December 2023

Last processed
89 datasets
  • 2,746,535km2 (approx.)
  • 89 unique regions
  • 9 CRS

Metadata (eo3)

Common fields

crs_raw • data_coverage • dataset_version • eo_gsd • format GeoTIFF instrument OLI_TIRS label • platform LANDSAT_9 product_family • region • sat_orbit_state • sat_relative_orbit •

Derived

JSON / GeoJSON

Location 🔗 (samples)

s3://deafrica-landsat/collection02/level-2/standard/oli-tirs/2023/

Measurements 🔗

nodata
uint16 SR_B1 / band_1 / coastal_aerosol 0
uint16 SR_B2 / band_2 / blue 0
uint16 SR_B3 / band_3 / green 0
uint16 SR_B4 / band_4 / red 0
uint16 SR_B5 / band_5 / nir 0
uint16 SR_B6 / band_6 / swir_1 0
uint16 SR_B7 / band_7 / swir_2 0
uint16 QA_PIXEL / pq / pixel_quality 1
uint16 QA_RADSAT / radsat / radiometric_saturation 0
uint8 SR_QA_AEROSOL / qa_aerosol / aerosol_qa 1

Total: 10

Definition 🔗

RAW As Stac
name: ls9_sr
license: CC-BY-4.0
metadata_type: eo3
description: USGS Landsat 9 Collection 2 Level-2 Surface Reflectance
metadata:
product:
name: ls9_sr
measurements: [
name: SR_B1
dtype: uint16
units: 1
nodata: 0
aliases: [
band_1
coastal_aerosol
]
name: SR_B2
dtype: uint16
units: 1
nodata: 0
aliases: [
band_2
blue
]
name: SR_B3
dtype: uint16
units: 1
nodata: 0
aliases: [
band_3
green
]
name: SR_B4
dtype: uint16
units: 1
nodata: 0
aliases: [
band_4
red
]
name: SR_B5
dtype: uint16
units: 1
nodata: 0
aliases: [
band_5
nir
]
name: SR_B6
dtype: uint16
units: 1
nodata: 0
aliases: [
band_6
swir_1
]
name: SR_B7
dtype: uint16
units: 1
nodata: 0
aliases: [
band_7
swir_2
]
name: QA_PIXEL
dtype: uint16
units: bit_index
nodata: 1
aliases: [
pq
pixel_quality
]
flags_definition:
snow:
bits: 5
values:
0: not_high_confidence
1: high_confidence
clear:
bits: 6
values:
0: False
1: True
cloud:
bits: 3
values:
0: not_high_confidence
1: high_confidence
water:
bits: 7
values:
0: land_or_cloud
1: water
cirrus:
bits: 2
values:
0: not_high_confidence
1: high_confidence
nodata:
bits: 0
values:
0: False
1: True
cloud_shadow:
bits: 4
values:
0: not_high_confidence
1: high_confidence
dilated_cloud:
bits: 1
values:
0: not_dilated
1: dilated
cloud_confidence:
bits: [
8
9
]
values:
0: none
1: low
2: medium
3: high
cirrus_confidence:
bits: [
14
15
]
values:
0: none
1: low
2: reserved
3: high
snow_ice_confidence:
bits: [
12
13
]
values:
0: none
1: low
2: reserved
3: high
cloud_shadow_confidence:
bits: [
10
11
]
values:
0: none
1: low
2: reserved
3: high
name: QA_RADSAT
dtype: uint16
units: bit_index
nodata: 0
aliases: [
radsat
radiometric_saturation
]
flags_definition:
nir_saturation:
bits: 4
values:
0: False
1: True
red_saturation:
bits: 3
values:
0: False
1: True
blue_saturation:
bits: 1
values:
0: False
1: True
green_saturation:
bits: 2
values:
0: False
1: True
band_1_saturation:
bits: 0
values:
0: False
1: True
band_2_saturation:
bits: 1
values:
0: False
1: True
band_3_saturation:
bits: 2
values:
0: False
1: True
band_4_saturation:
bits: 3
values:
0: False
1: True
band_5_saturation:
bits: 4
values:
0: False
1: True
band_6_saturation:
bits: 5
values:
0: False
1: True
band_7_saturation:
bits: 6
values:
0: False
1: True
swir_1_saturation:
bits: 5
values:
0: False
1: True
swir_2_saturation:
bits: 6
values:
0: False
1: True
terrain_occlusion:
bits: 11
values:
0: False
1: True
name: SR_QA_AEROSOL
dtype: uint8
units: bit_index
nodata: 1
aliases: [
qa_aerosol
aerosol_qa
]
flags_definition:
water:
bits: 2
values:
0: False
1: True
nodata:
bits: 0
values:
0: False
1: True
aerosol_level:
bits: [
6
7
]
values:
0: climatology
1: low
2: medium
3: high
interpolated_aerosol:
bits: 5
values:
0: False
1: True
valid_aerosol_retrieval:
bits: 1
values:
0: False
1: True
]