ls8_sr: USGS Landsat 8 Collection 2 Level-2 Surface Reflectance

2016

All months

1st Jan 2016 1st Jan 2016
97 datasets 2nd Jan 2016
92 datasets 3rd Jan 2016
84 datasets 4th Jan 2016
85 datasets 5th Jan 2016
82 datasets 6th Jan 2016
92 datasets 7th Jan 2016
89 datasets 8th Jan 2016
89 datasets 9th Jan 2016
85 datasets 10th Jan 2016
89 datasets 11th Jan 2016
88 datasets 12th Jan 2016
83 datasets 13th Jan 2016
90 datasets 14th Jan 2016
85 datasets 15th Jan 2016
90 datasets 16th Jan 2016
88 datasets 17th Jan 2016
90 datasets 18th Jan 2016
92 datasets 19th Jan 2016
84 datasets 20th Jan 2016
85 datasets 21st Jan 2016
82 datasets 22nd Jan 2016
92 datasets 23rd Jan 2016
89 datasets 24th Jan 2016
89 datasets 25th Jan 2016
85 datasets 26th Jan 2016
90 datasets 27th Jan 2016
88 datasets 28th Jan 2016
83 datasets 29th Jan 2016
90 datasets 30th Jan 2016
85 datasets 31st Jan 2016
90 datasets 1st Feb 2016
89 datasets 2nd Feb 2016
97 datasets 3rd Feb 2016
93 datasets 4th Feb 2016
85 datasets 5th Feb 2016
85 datasets 6th Feb 2016
83 datasets 7th Feb 2016
93 datasets 8th Feb 2016
90 datasets 9th Feb 2016
91 datasets 10th Feb 2016
85 datasets 11th Feb 2016
92 datasets 12th Feb 2016
86 datasets 13th Feb 2016
84 datasets 14th Feb 2016
92 datasets 15th Feb 2016
86 datasets 16th Feb 2016
92 datasets 17th Feb 2016
89 datasets 18th Feb 2016
96 datasets 19th Feb 2016
93 datasets 20th Feb 2016
85 datasets 21st Feb 2016
85 datasets 22nd Feb 2016
82 datasets 23rd Feb 2016
93 datasets 24th Feb 2016
90 datasets 25th Feb 2016
89 datasets 26th Feb 2016
86 datasets 27th Feb 2016
92 datasets 28th Feb 2016
89 datasets 29th Feb 2016
84 datasets 1st Mar 2016
92 datasets 2nd Mar 2016
86 datasets 3rd Mar 2016
92 datasets 4th Mar 2016
89 datasets 5th Mar 2016
97 datasets 6th Mar 2016
93 datasets 7th Mar 2016
85 datasets 8th Mar 2016
85 datasets 9th Mar 2016
83 datasets 10th Mar 2016
93 datasets 11th Mar 2016
90 datasets 12th Mar 2016
91 datasets 13th Mar 2016
86 datasets 14th Mar 2016
92 datasets 15th Mar 2016
89 datasets 16th Mar 2016
84 datasets 17th Mar 2016
92 datasets 18th Mar 2016
86 datasets 19th Mar 2016
92 datasets 20th Mar 2016
89 datasets 21st Mar 2016
97 datasets 22nd Mar 2016
93 datasets 23rd Mar 2016
85 datasets 24th Mar 2016
85 datasets 25th Mar 2016
83 datasets 26th Mar 2016
93 datasets 27th Mar 2016
90 datasets 28th Mar 2016
91 datasets 29th Mar 2016
86 datasets 30th Mar 2016
92 datasets 31st Mar 2016
89 datasets 1st Apr 2016
84 datasets 2nd Apr 2016
92 datasets 3rd Apr 2016
86 datasets 4th Apr 2016
92 datasets 5th Apr 2016
89 datasets 6th Apr 2016
97 datasets 7th Apr 2016
93 datasets 8th Apr 2016
85 datasets 9th Apr 2016
85 datasets 10th Apr 2016
83 datasets 11th Apr 2016
93 datasets 12th Apr 2016
90 datasets 13th Apr 2016
91 datasets 14th Apr 2016
86 datasets 15th Apr 2016
92 datasets 16th Apr 2016
89 datasets 17th Apr 2016
84 datasets 18th Apr 2016
92 datasets 19th Apr 2016
86 datasets 20th Apr 2016
92 datasets 21st Apr 2016
89 datasets 22nd Apr 2016
97 datasets 23rd Apr 2016
93 datasets 24th Apr 2016
85 datasets 25th Apr 2016
85 datasets 26th Apr 2016
77 datasets 27th Apr 2016
93 datasets 28th Apr 2016
90 datasets 29th Apr 2016
91 datasets 30th Apr 2016
86 datasets 1st May 2016
92 datasets 2nd May 2016
89 datasets 3rd May 2016
84 datasets 4th May 2016
92 datasets 5th May 2016
86 datasets 6th May 2016
92 datasets 7th May 2016
79 datasets 8th May 2016
97 datasets 9th May 2016
93 datasets 10th May 2016
85 datasets 11th May 2016
85 datasets 12th May 2016
83 datasets 13th May 2016
93 datasets 14th May 2016
90 datasets 15th May 2016
91 datasets 16th May 2016
86 datasets 17th May 2016
92 datasets 18th May 2016
89 datasets 19th May 2016
84 datasets 20th May 2016
92 datasets 21st May 2016
86 datasets 22nd May 2016
92 datasets 23rd May 2016
89 datasets 24th May 2016
97 datasets 25th May 2016
93 datasets 26th May 2016
85 datasets 27th May 2016
85 datasets 28th May 2016
83 datasets 29th May 2016
93 datasets 30th May 2016
90 datasets 31st May 2016
91 datasets 1st Jun 2016
86 datasets 2nd Jun 2016
92 datasets 3rd Jun 2016
89 datasets 4th Jun 2016
84 datasets 5th Jun 2016
92 datasets 6th Jun 2016
86 datasets 7th Jun 2016
92 datasets 8th Jun 2016
88 datasets 9th Jun 2016
97 datasets 10th Jun 2016
93 datasets 11th Jun 2016
85 datasets 12th Jun 2016
85 datasets 13th Jun 2016
83 datasets 14th Jun 2016
93 datasets 15th Jun 2016
90 datasets 16th Jun 2016
91 datasets 17th Jun 2016
86 datasets 18th Jun 2016
92 datasets 19th Jun 2016
89 datasets 20th Jun 2016
84 datasets 21st Jun 2016
92 datasets 22nd Jun 2016
86 datasets 23rd Jun 2016
92 datasets 24th Jun 2016
87 datasets 25th Jun 2016
97 datasets 26th Jun 2016
93 datasets 27th Jun 2016
85 datasets 28th Jun 2016
85 datasets 29th Jun 2016
83 datasets 30th Jun 2016
93 datasets 1st Jul 2016
90 datasets 2nd Jul 2016
91 datasets 3rd Jul 2016
86 datasets 4th Jul 2016
92 datasets 5th Jul 2016
89 datasets 6th Jul 2016
84 datasets 7th Jul 2016
92 datasets 8th Jul 2016
86 datasets 9th Jul 2016
92 datasets 10th Jul 2016
88 datasets 11th Jul 2016
97 datasets 12th Jul 2016
93 datasets 13th Jul 2016
85 datasets 14th Jul 2016
85 datasets 15th Jul 2016
83 datasets 16th Jul 2016
93 datasets 17th Jul 2016
90 datasets 18th Jul 2016
91 datasets 19th Jul 2016
86 datasets 20th Jul 2016
92 datasets 21st Jul 2016
89 datasets 22nd Jul 2016
84 datasets 23rd Jul 2016
92 datasets 24th Jul 2016
86 datasets 25th Jul 2016
92 datasets 26th Jul 2016
89 datasets 27th Jul 2016
97 datasets 28th Jul 2016
93 datasets 29th Jul 2016
85 datasets 30th Jul 2016
85 datasets 31st Jul 2016
83 datasets 1st Aug 2016
93 datasets 2nd Aug 2016
90 datasets 3rd Aug 2016
91 datasets 4th Aug 2016
86 datasets 5th Aug 2016
92 datasets 6th Aug 2016
89 datasets 7th Aug 2016
84 datasets 8th Aug 2016
92 datasets 9th Aug 2016
86 datasets 10th Aug 2016
92 datasets 11th Aug 2016
89 datasets 12th Aug 2016
97 datasets 13th Aug 2016
93 datasets 14th Aug 2016
85 datasets 15th Aug 2016
85 datasets 16th Aug 2016
83 datasets 17th Aug 2016
93 datasets 18th Aug 2016
90 datasets 19th Aug 2016
91 datasets 20th Aug 2016
85 datasets 21st Aug 2016
92 datasets 22nd Aug 2016
89 datasets 23rd Aug 2016
84 datasets 24th Aug 2016
92 datasets 25th Aug 2016
86 datasets 26th Aug 2016
92 datasets 27th Aug 2016
89 datasets 28th Aug 2016
97 datasets 29th Aug 2016
93 datasets 30th Aug 2016
85 datasets 31st Aug 2016
85 datasets 1st Sep 2016
83 datasets 2nd Sep 2016
93 datasets 3rd Sep 2016
90 datasets 4th Sep 2016
91 datasets 5th Sep 2016
85 datasets 6th Sep 2016
92 datasets 7th Sep 2016
89 datasets 8th Sep 2016
84 datasets 9th Sep 2016
92 datasets 10th Sep 2016
86 datasets 11th Sep 2016
92 datasets 12th Sep 2016
89 datasets 13th Sep 2016
97 datasets 14th Sep 2016
93 datasets 15th Sep 2016
85 datasets 16th Sep 2016
85 datasets 17th Sep 2016
83 datasets 18th Sep 2016
77 datasets 19th Sep 2016
90 datasets 20th Sep 2016
91 datasets 21st Sep 2016
85 datasets 22nd Sep 2016
92 datasets 23rd Sep 2016
89 datasets 24th Sep 2016
84 datasets 25th Sep 2016
92 datasets 26th Sep 2016
86 datasets 27th Sep 2016
92 datasets 28th Sep 2016
89 datasets 29th Sep 2016
97 datasets 30th Sep 2016
93 datasets 1st Oct 2016
85 datasets 2nd Oct 2016
86 datasets 3rd Oct 2016
83 datasets 4th Oct 2016
93 datasets 5th Oct 2016
90 datasets 6th Oct 2016
91 datasets 7th Oct 2016
85 datasets 8th Oct 2016
92 datasets 9th Oct 2016
89 datasets 10th Oct 2016
84 datasets 11th Oct 2016
92 datasets 12th Oct 2016
86 datasets 13th Oct 2016
92 datasets 14th Oct 2016
89 datasets 15th Oct 2016
97 datasets 16th Oct 2016
93 datasets 17th Oct 2016
85 datasets 18th Oct 2016
85 datasets 19th Oct 2016
83 datasets 20th Oct 2016
93 datasets 21st Oct 2016
90 datasets 22nd Oct 2016
91 datasets 23rd Oct 2016
85 datasets 24th Oct 2016
92 datasets 25th Oct 2016
89 datasets 26th Oct 2016
84 datasets 27th Oct 2016
65 datasets 28th Oct 2016
86 datasets 29th Oct 2016
92 datasets 30th Oct 2016
89 datasets 31st Oct 2016
97 datasets 1st Nov 2016
93 datasets 2nd Nov 2016
85 datasets 3rd Nov 2016
85 datasets 4th Nov 2016
83 datasets 5th Nov 2016
93 datasets 6th Nov 2016
90 datasets 7th Nov 2016
91 datasets 8th Nov 2016
85 datasets 9th Nov 2016
92 datasets 10th Nov 2016
89 datasets 11th Nov 2016
84 datasets 12th Nov 2016
92 datasets 13th Nov 2016
86 datasets 14th Nov 2016
92 datasets 15th Nov 2016
89 datasets 16th Nov 2016
97 datasets 17th Nov 2016
93 datasets 18th Nov 2016
85 datasets 19th Nov 2016
85 datasets 20th Nov 2016
83 datasets 21st Nov 2016
93 datasets 22nd Nov 2016
90 datasets 23rd Nov 2016
91 datasets 24th Nov 2016
85 datasets 25th Nov 2016
92 datasets 26th Nov 2016
89 datasets 27th Nov 2016
84 datasets 28th Nov 2016
92 datasets 29th Nov 2016
86 datasets 30th Nov 2016
92 datasets 1st Dec 2016
89 datasets 2nd Dec 2016
97 datasets 3rd Dec 2016
93 datasets 4th Dec 2016
85 datasets 5th Dec 2016
85 datasets 6th Dec 2016
83 datasets 7th Dec 2016
93 datasets 8th Dec 2016
90 datasets 9th Dec 2016
91 datasets 10th Dec 2016
85 datasets 11th Dec 2016
92 datasets 12th Dec 2016
89 datasets 13th Dec 2016
84 datasets 14th Dec 2016
92 datasets 15th Dec 2016
86 datasets 16th Dec 2016
92 datasets 17th Dec 2016
89 datasets 18th Dec 2016
97 datasets 19th Dec 2016
93 datasets 20th Dec 2016
85 datasets 21st Dec 2016
85 datasets 22nd Dec 2016
83 datasets 23rd Dec 2016
93 datasets 24th Dec 2016
90 datasets 25th Dec 2016
91 datasets 26th Dec 2016
85 datasets 27th Dec 2016
92 datasets 28th Dec 2016
89 datasets 29th Dec 2016
84 datasets 30th Dec 2016
90 datasets 31st Dec 2016 31st Dec 2016
86 datasets
+−
USGS Landsat 8 Collection 2 Level-2 Surface Reflectance

ls8_sr across 2016

Last processed
32,516 datasets
  • 37,881,681km2 (approx.)
  • 1427 unique regions
  • 16 CRS

Metadata (eo3)

Common fields

crs_raw • data_coverage • dataset_version • eo_gsd • format GeoTIFF instrument OLI_TIRS label • platform LANDSAT_8 product_family • region • sat_orbit_state • sat_relative_orbit •

Derived

JSON / GeoJSON

Location 🔗 (samples)

s3://deafrica-landsat/collection02/level-2/standard/oli-tirs/2016/

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: ls8_sr
license: CC-BY-4.0
metadata_type: eo3
description: USGS Landsat 8 Collection 2 Level-2 Surface Reflectance
metadata:
product:
name: ls8_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
]