landsat_ot_c2_l2: USGS Landsat 8-9 Collection 2 Level-2 Surface Reflectance and Temperature

All years

Mar 2013 Mar 2013
1 datasets Apr 2013
9 datasets May 2013
6 datasets Jun 2013
16 datasets Jul 2013
14 datasets Aug 2013
12 datasets Sep 2013
8 datasets Oct 2013
10 datasets Nov 2013
12 datasets Dec 2013
13 datasets Jan 2014
13 datasets Feb 2014
7 datasets Mar 2014
14 datasets Apr 2014
9 datasets May 2014
13 datasets Jun 2014
14 datasets Jul 2014
14 datasets Aug 2014
14 datasets Sep 2014
16 datasets Oct 2014
11 datasets Nov 2014
13 datasets Dec 2014
11 datasets Jan 2015
11 datasets Feb 2015
13 datasets Mar 2015
12 datasets Apr 2015
11 datasets May 2015
10 datasets Jun 2015
14 datasets Jul 2015
15 datasets Aug 2015
12 datasets Sep 2015
13 datasets Oct 2015
15 datasets Nov 2015
14 datasets Dec 2015
15 datasets Jan 2016
14 datasets Feb 2016
10 datasets Mar 2016
10 datasets Apr 2016
11 datasets May 2016
12 datasets Jun 2016
11 datasets Jul 2016
15 datasets Aug 2016
13 datasets Sep 2016
16 datasets Oct 2016
14 datasets Nov 2016
12 datasets Dec 2016
16 datasets Jan 2017
10 datasets Feb 2017
8 datasets Mar 2017
15 datasets Apr 2017
14 datasets May 2017
12 datasets Jun 2017
13 datasets Jul 2017
14 datasets Aug 2017
16 datasets Sep 2017
15 datasets Oct 2017
14 datasets Nov 2017
10 datasets Dec 2017
8 datasets Jan 2018
13 datasets Feb 2018
12 datasets Mar 2018
10 datasets Apr 2018
13 datasets May 2018
15 datasets Jun 2018
15 datasets Jul 2018
12 datasets Aug 2018
14 datasets Sep 2018
14 datasets Oct 2018
12 datasets Nov 2018
12 datasets Dec 2018
10 datasets Jan 2019
13 datasets Feb 2019
11 datasets Mar 2019
14 datasets Apr 2019
14 datasets May 2019
12 datasets Jun 2019
12 datasets Jul 2019
16 datasets Aug 2019
14 datasets Sep 2019
15 datasets Oct 2019
10 datasets Nov 2019
7 datasets Dec 2019
10 datasets Jan 2020
12 datasets Feb 2020
16 datasets Mar 2020
16 datasets Apr 2020
12 datasets May 2020
13 datasets Jun 2020
12 datasets Jul 2020
14 datasets Aug 2020
13 datasets Sep 2020
16 datasets Oct 2020
13 datasets Nov 2020
10 datasets Dec 2020
12 datasets Jan 2021
10 datasets Feb 2021
13 datasets Mar 2021
11 datasets Apr 2021
13 datasets May 2021
11 datasets Jun 2021
16 datasets Jul 2021
13 datasets Aug 2021
13 datasets Sep 2021
14 datasets Oct 2021
15 datasets Nov 2021
23 datasets Dec 2021
22 datasets Jan 2022
29 datasets Feb 2022
23 datasets Mar 2022
28 datasets Apr 2022
29 datasets May 2022
26 datasets Jun 2022
24 datasets Jul 2022
29 datasets Aug 2022
29 datasets Sep 2022
30 datasets Oct 2022
30 datasets Nov 2022
22 datasets Dec 2022
18 datasets Jan 2023
19 datasets Feb 2023
27 datasets Mar 2023
31 datasets Apr 2023
25 datasets May 2023
19 datasets Jun 2023
30 datasets Jul 2023
32 datasets Aug 2023
27 datasets Sep 2023
26 datasets Oct 2023
25 datasets Nov 2023
22 datasets Dec 2023
21 datasets Jan 2024
26 datasets Feb 2024
28 datasets Mar 2024
24 datasets Apr 2024
23 datasets May 2024
28 datasets Jun 2024
28 datasets Jul 2024
30 datasets Aug 2024
29 datasets Sep 2024
23 datasets Oct 2024
21 datasets Nov 2024
30 datasets Dec 2024
26 datasets Jan 2025
22 datasets Feb 2025
21 datasets Mar 2025 Mar 2025
11 datasets
+−
USGS Landsat 8-9 Collection 2 Level-2 Surface Reflectance and Temperature

landsat_ot_c2_l2 whole collection

Last processed
2,332 datasets
  • 252,379km2 (approx.)
  • No configured regions
  • 2 CRS

Metadata (eo)

Common fields

format GeoTiff instrument OLI_TIRS label • product_type Landsat

JSON / GeoJSON

Location 🔗 (samples)

https://sdc-storage.unepgrid.s3.unige.ch/rest/lsc2/landsat_ot_c2_l2/

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
uint16 ST_B10 / band_10 / tirs / st / surface_temperature 0
int16 ST_TRAD / trad / thermal_radiance -9999
int16 ST_URAD / urad / upwell_radiance -9999
int16 ST_DRAD / drad / downwell_radiance -9999
int16 ST_ATRAN / atran / atmospheric_transmittance -9999
int16 ST_EMIS / emis / emissivity -9999
int16 ST_EMSD / emsd / emissivity_stddev -9999
int16 ST_CDIST / cdist -9999
int16 ST_QA / st_qa / surface_temperature_quality / surface_temperature_uncertainty -9999

Total: 19

Definition 🔗

RAW As Stac
name: landsat_ot_c2_l2
license: CC-BY-4.0
metadata_type: eo
description: USGS Landsat 8-9 Collection 2 Level-2 Surface Reflectance and Temperature
metadata:
product_type: Landsat
instrument:
name: OLI_TIRS
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
name: ST_B10
dtype: uint16
units: Kelvin
nodata: 0
aliases: [
band_10
tirs
st
surface_temperature
]
name: ST_TRAD
dtype: int16
units: W/(m2.sr.μm)
nodata: -9999
aliases: [
trad
thermal_radiance
]
name: ST_URAD
dtype: int16
units: W/(m2.sr.μm)
nodata: -9999
aliases: [
urad
upwell_radiance
]
name: ST_DRAD
dtype: int16
units: W/(m2.sr.μm)
nodata: -9999
aliases: [
drad
downwell_radiance
]
name: ST_ATRAN
dtype: int16
units: 1
nodata: -9999
aliases: [
atran
atmospheric_transmittance
]
name: ST_EMIS
dtype: int16
units: 1
nodata: -9999
aliases: [
emis
emissivity
]
name: ST_EMSD
dtype: int16
units: 1
nodata: -9999
aliases: [
emsd
emissivity_stddev
]
name: ST_CDIST
dtype: int16
units: Kilometers
nodata: -9999
aliases: [
cdist
]
name: ST_QA
dtype: int16
units: Kelvin
nodata: -9999
aliases: [
st_qa
surface_temperature_quality
surface_temperature_uncertainty
]
]