ls9_c2l2_sr: USGS Landsat 9 Collection 2 Level-2 Surface Reflectance

2023

November

18th

USGS Landsat 9 Collection 2 Level-2 Surface Reflectance

ls9_c2l2_sr on 18th November 2023

Last processed
4 datasets
  • 128,547km2 (approx.)
  • 4 unique regions
  • Entirely EPSG:32629

Metadata (eo3)

dataset_maturity • format GeoTIFF instrument OLI_TIRS platform landsat-9 product_family •

GeoJSON

Location 🔗 (samples)

https://planetarycomputer.microsoft.com/api/stac/v1/collections/landsat-c2-l2/items/

Measurements 🔗

nodata
uint16 coastal / SR_B1 / band_1 / coastal_aerosol 0
uint16 blue / SR_B2 / band_2 0
uint16 green / SR_B3 / band_3 0
uint16 red / SR_B4 / band_4 0
uint16 nir08 / SR_B5 / band_5 0
uint16 swir16 / SR_B6 / band_6 / swir_1 0
uint16 swir22 / SR_B7 / band_7 / swir_2 0
uint16 qa_pixel / pixel_qa / pq / pixel_quality 1
uint16 qa_radsat / QA_RADSAT / radsat / radiometric_saturation 0
uint8 qa_aerosol / SR_QA_AEROSOL / qa_aerosol / aerosol_qa 1

Definition 🔗

RAW As Stac
name: ls9_c2l2_sr
license: CC-BY-4.0
metadata_type: eo3
description: USGS Landsat 9 Collection 2 Level-2 Surface Reflectance
metadata:
product:
name: ls9_c2l2_sr
measurements: [
name: coastal
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B1
band_1
coastal_aerosol
]
name: blue
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B2
band_2
]
name: green
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B3
band_3
]
name: red
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B4
band_4
]
name: nir08
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B5
band_5
]
name: swir16
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B6
band_6
swir_1
]
name: swir22
dtype: uint16
units: 1
nodata: 0
aliases: [
SR_B7
band_7
swir_2
]
name: qa_pixel
dtype: uint16
units: bit_index
nodata: 1
aliases: [
pixel_qa
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: [
QA_RADSAT
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: qa_aerosol
dtype: uint8
units: bit_index
nodata: 1
aliases: [
SR_QA_AEROSOL
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
]