landsat9_c2l2_sr: Landsat 9 Collection 2 Level-2 Surface Reflectance, processed using LaSRC. 30m UTM based projection.

2023

All months

1st Jan 2023 1st Jan 2023
24 datasets 2nd Jan 2023
28 datasets 3rd Jan 2023
35 datasets 4th Jan 2023
44 datasets 5th Jan 2023
41 datasets 6th Jan 2023
33 datasets 7th Jan 2023
37 datasets 8th Jan 2023
28 datasets 9th Jan 2023
32 datasets 10th Jan 2023
38 datasets 11th Jan 2023
37 datasets 12th Jan 2023
40 datasets 13th Jan 2023
29 datasets 14th Jan 2023
32 datasets 15th Jan 2023
26 datasets 16th Jan 2023
34 datasets 17th Jan 2023
21 datasets 18th Jan 2023
25 datasets 19th Jan 2023
43 datasets 20th Jan 2023
44 datasets 21st Jan 2023
53 datasets 22nd Jan 2023
16 datasets 23rd Jan 2023
39 datasets 24th Jan 2023
24 datasets 25th Jan 2023
33 datasets 26th Jan 2023
29 datasets 27th Jan 2023
34 datasets 28th Jan 2023
49 datasets 29th Jan 2023
39 datasets 30th Jan 2023
49 datasets 31st Jan 2023
36 datasets 1st Feb 2023
44 datasets 2nd Feb 2023
36 datasets 3rd Feb 2023
48 datasets 4th Feb 2023
46 datasets 5th Feb 2023
57 datasets 6th Feb 2023
54 datasets 7th Feb 2023
36 datasets 8th Feb 2023
43 datasets 9th Feb 2023
39 datasets 10th Feb 2023
51 datasets 11th Feb 2023
49 datasets 12th Feb 2023
51 datasets 13th Feb 2023
68 datasets 14th Feb 2023
49 datasets 15th Feb 2023
51 datasets 16th Feb 2023
49 datasets 17th Feb 2023
51 datasets 18th Feb 2023
51 datasets 19th Feb 2023
57 datasets 20th Feb 2023
55 datasets 21st Feb 2023
58 datasets 22nd Feb 2023
69 datasets 23rd Feb 2023
52 datasets 24th Feb 2023
57 datasets 25th Feb 2023
47 datasets 26th Feb 2023
50 datasets 27th Feb 2023
48 datasets 28th Feb 2023
5 datasets 1st Mar 2023
76 datasets 2nd Mar 2023
57 datasets 3rd Mar 2023
68 datasets 4th Mar 2023
64 datasets 5th Mar 2023
68 datasets 6th Mar 2023
58 datasets 7th Mar 2023
55 datasets 8th Mar 2023
64 datasets 9th Mar 2023
62 datasets 10th Mar 2023
67 datasets 11th Mar 2023
59 datasets 12th Mar 2023
64 datasets 13th Mar 2023
65 datasets 14th Mar 2023
59 datasets 15th Mar 2023
77 datasets 16th Mar 2023
50 datasets 17th Mar 2023
84 datasets 18th Mar 2023
64 datasets 19th Mar 2023
76 datasets 20th Mar 2023
74 datasets 21st Mar 2023
64 datasets 22nd Mar 2023
67 datasets 23rd Mar 2023
61 datasets 24th Mar 2023
86 datasets 25th Mar 2023
71 datasets 26th Mar 2023
85 datasets 27th Mar 2023
75 datasets 28th Mar 2023
60 datasets 29th Mar 2023
68 datasets 30th Mar 2023
71 datasets 31st Mar 2023
65 datasets 1st Apr 2023
74 datasets 2nd Apr 2023
96 datasets 3rd Apr 2023
79 datasets 4th Apr 2023
82 datasets 5th Apr 2023
77 datasets 6th Apr 2023
53 datasets 7th Apr 2023
74 datasets 8th Apr 2023
74 datasets 9th Apr 2023
87 datasets 10th Apr 2023
80 datasets 11th Apr 2023
99 datasets 12th Apr 2023
82 datasets 13th Apr 2023
73 datasets 14th Apr 2023
71 datasets 15th Apr 2023
82 datasets 16th Apr 2023
95 datasets 17th Apr 2023
78 datasets 18th Apr 2023
99 datasets 19th Apr 2023
79 datasets 20th Apr 2023
83 datasets 21st Apr 2023
76 datasets 22nd Apr 2023
87 datasets 23rd Apr 2023
77 datasets 24th Apr 2023
82 datasets 25th Apr 2023
112 datasets 26th Apr 2023
87 datasets 27th Apr 2023
89 datasets 28th Apr 2023
81 datasets 29th Apr 2023
93 datasets 30th Apr 2023
76 datasets 1st May 2023
77 datasets 2nd May 2023
85 datasets 3rd May 2023
86 datasets 4th May 2023
95 datasets 5th May 2023
104 datasets 6th May 2023
97 datasets 7th May 2023
94 datasets 8th May 2023
83 datasets 9th May 2023
99 datasets 10th May 2023
95 datasets 11th May 2023
111 datasets 12th May 2023
92 datasets 13th May 2023
88 datasets 14th May 2023
98 datasets 15th May 2023
84 datasets 16th May 2023
86 datasets 17th May 2023
102 datasets 18th May 2023
91 datasets 19th May 2023
81 datasets 20th May 2023
101 datasets 21st May 2023
87 datasets 22nd May 2023
95 datasets 23rd May 2023
92 datasets 24th May 2023
88 datasets 25th May 2023
97 datasets 26th May 2023
85 datasets 27th May 2023
108 datasets 28th May 2023
98 datasets 29th May 2023
103 datasets 30th May 2023
109 datasets 31st May 2023
110 datasets 1st Jun 2023
111 datasets 2nd Jun 2023
100 datasets 3rd Jun 2023
119 datasets 4th Jun 2023
99 datasets 5th Jun 2023
120 datasets 6th Jun 2023
97 datasets 7th Jun 2023
105 datasets 8th Jun 2023
92 datasets 9th Jun 2023
92 datasets 10th Jun 2023
104 datasets 11th Jun 2023
91 datasets 12th Jun 2023
123 datasets 13th Jun 2023
109 datasets 14th Jun 2023
117 datasets 15th Jun 2023
105 datasets 16th Jun 2023
101 datasets 17th Jun 2023
107 datasets 18th Jun 2023
96 datasets 19th Jun 2023
115 datasets 20th Jun 2023
103 datasets 21st Jun 2023
127 datasets 22nd Jun 2023
119 datasets 23rd Jun 2023
115 datasets 24th Jun 2023
107 datasets 25th Jun 2023
105 datasets 26th Jun 2023
120 datasets 27th Jun 2023
116 datasets 28th Jun 2023
122 datasets 29th Jun 2023
115 datasets 30th Jun 2023
133 datasets 1st Jul 2023
118 datasets 2nd Jul 2023
104 datasets 3rd Jul 2023
115 datasets 4th Jul 2023
112 datasets 5th Jul 2023
135 datasets 6th Jul 2023
109 datasets 7th Jul 2023
127 datasets 8th Jul 2023
117 datasets 9th Jul 2023
115 datasets 10th Jul 2023
119 datasets 11th Jul 2023
101 datasets 12th Jul 2023
111 datasets 13th Jul 2023
105 datasets 14th Jul 2023
120 datasets 15th Jul 2023
114 datasets 16th Jul 2023
116 datasets 17th Jul 2023
110 datasets 18th Jul 2023
116 datasets 19th Jul 2023
105 datasets 20th Jul 2023
108 datasets 21st Jul 2023
129 datasets 22nd Jul 2023
106 datasets 23rd Jul 2023
115 datasets 24th Jul 2023
103 datasets 25th Jul 2023
106 datasets 26th Jul 2023
111 datasets 27th Jul 2023
102 datasets 28th Jul 2023
105 datasets 29th Jul 2023
105 datasets 30th Jul 2023
130 datasets 31st Jul 2023
99 datasets 1st Aug 2023
101 datasets 2nd Aug 2023
107 datasets 3rd Aug 2023
97 datasets 4th Aug 2023
99 datasets 5th Aug 2023
95 datasets 6th Aug 2023
107 datasets 7th Aug 2023
98 datasets 8th Aug 2023
108 datasets 9th Aug 2023
100 datasets 10th Aug 2023
108 datasets 11th Aug 2023
86 datasets 12th Aug 2023
96 datasets 13th Aug 2023
100 datasets 14th Aug 2023
95 datasets 15th Aug 2023
113 datasets 16th Aug 2023
95 datasets 17th Aug 2023
108 datasets 18th Aug 2023
87 datasets 19th Aug 2023
90 datasets 20th Aug 2023
82 datasets 21st Aug 2023
75 datasets 22nd Aug 2023
90 datasets 23rd Aug 2023
76 datasets 24th Aug 2023
92 datasets 25th Aug 2023
81 datasets 26th Aug 2023
86 datasets 27th Aug 2023
104 datasets 28th Aug 2023
93 datasets 29th Aug 2023
86 datasets 30th Aug 2023
82 datasets 31st Aug 2023
104 datasets 1st Sep 2023
86 datasets 2nd Sep 2023
96 datasets 3rd Sep 2023
79 datasets 4th Sep 2023
82 datasets 5th Sep 2023
90 datasets 6th Sep 2023
62 datasets 7th Sep 2023
91 datasets 8th Sep 2023
74 datasets 9th Sep 2023
97 datasets 10th Sep 2023
91 datasets 11th Sep 2023
96 datasets 12th Sep 2023
70 datasets 13th Sep 2023
80 datasets 14th Sep 2023
82 datasets 15th Sep 2023
83 datasets 16th Sep 2023
99 datasets 17th Sep 2023
80 datasets 18th Sep 2023
73 datasets 19th Sep 2023
69 datasets 20th Sep 2023
80 datasets 21st Sep 2023
76 datasets 22nd Sep 2023
62 datasets 23rd Sep 2023
78 datasets 24th Sep 2023
72 datasets 25th Sep 2023
78 datasets 26th Sep 2023
69 datasets 27th Sep 2023
71 datasets 28th Sep 2023
81 datasets 29th Sep 2023
55 datasets 30th Sep 2023
63 datasets 1st Oct 2023
59 datasets 2nd Oct 2023
76 datasets 3rd Oct 2023
57 datasets 4th Oct 2023
75 datasets 5th Oct 2023
65 datasets 6th Oct 2023
69 datasets 7th Oct 2023
73 datasets 8th Oct 2023
53 datasets 9th Oct 2023
66 datasets 10th Oct 2023
63 datasets 11th Oct 2023
76 datasets 12th Oct 2023
62 datasets 13th Oct 2023
66 datasets 14th Oct 2023
68 datasets 15th Oct 2023
53 datasets 16th Oct 2023
59 datasets 17th Oct 2023
54 datasets 18th Oct 2023
65 datasets 19th Oct 2023
58 datasets 20th Oct 2023
72 datasets 21st Oct 2023
64 datasets 22nd Oct 2023
60 datasets 23rd Oct 2023
58 datasets 24th Oct 2023
49 datasets 25th Oct 2023
64 datasets 26th Oct 2023
53 datasets 27th Oct 2023
72 datasets 28th Oct 2023
56 datasets 29th Oct 2023
55 datasets 30th Oct 2023
52 datasets 31st Oct 2023
43 datasets 1st Nov 2023
44 datasets 2nd Nov 2023
51 datasets 3rd Nov 2023
59 datasets 4th Nov 2023
46 datasets 5th Nov 2023
68 datasets 6th Nov 2023
39 datasets 7th Nov 2023
44 datasets 8th Nov 2023
0 datasets 9th Nov 2023
39 datasets 10th Nov 2023
36 datasets 11th Nov 2023
49 datasets 12th Nov 2023
53 datasets 13th Nov 2023
43 datasets 14th Nov 2023
56 datasets 15th Nov 2023
32 datasets 16th Nov 2023
40 datasets 17th Nov 2023
30 datasets 18th Nov 2023
41 datasets 19th Nov 2023
52 datasets 20th Nov 2023
57 datasets 21st Nov 2023
55 datasets 22nd Nov 2023
31 datasets 23rd Nov 2023
45 datasets 24th Nov 2023
41 datasets 25th Nov 2023
46 datasets 26th Nov 2023
44 datasets 27th Nov 2023
38 datasets 28th Nov 2023
52 datasets 29th Nov 2023
37 datasets 30th Nov 2023
44 datasets 1st Dec 2023
29 datasets 2nd Dec 2023
34 datasets 3rd Dec 2023
26 datasets 4th Dec 2023
31 datasets 5th Dec 2023
40 datasets 6th Dec 2023
39 datasets 7th Dec 2023
35 datasets 8th Dec 2023
35 datasets 9th Dec 2023
40 datasets 10th Dec 2023
19 datasets 11th Dec 2023
32 datasets 12th Dec 2023
40 datasets 13th Dec 2023
46 datasets 14th Dec 2023
42 datasets 15th Dec 2023
37 datasets 16th Dec 2023
38 datasets 17th Dec 2023
21 datasets 18th Dec 2023
42 datasets 19th Dec 2023
27 datasets 20th Dec 2023
33 datasets 21st Dec 2023
46 datasets 22nd Dec 2023
35 datasets 23rd Dec 2023
40 datasets 24th Dec 2023
27 datasets 25th Dec 2023
37 datasets 26th Dec 2023
14 datasets 27th Dec 2023
35 datasets 28th Dec 2023
28 datasets 29th Dec 2023
37 datasets 30th Dec 2023
36 datasets 31st Dec 2023 31st Dec 2023
32 datasets
+−
Landsat 9 Collection 2 Level-2 Surface Reflectance, processed using LaSRC. 30m UTM based projection.

landsat9_c2l2_sr across 2023

Last processed
26,284 datasets
  • 27,887,213km2 (approx.)
  • No configured regions
  • 23 CRS

Metadata (eo3)

Common fields

dataset_maturity • format • instrument OLI platform LANDSAT_9 product_family • region_code •

JSON / GeoJSON

Location 🔗 (samples)

https://landsatlook.usgs.gov/stac-server/collections/landsat-c2l2-sr/items/

Measurements 🔗

nodata
uint16 coastal / SR_B1 / band_1 / B1 / coastal_aerosol 0
uint16 blue / SR_B2 / band_2 / B2 0
uint16 green / SR_B3 / band_3 / B3 0
uint16 red / SR_B4 / band_4 / B4 0
uint16 nir08 / SR_B5 / band_5 / B5 / nir 0
uint16 swir16 / SR_B6 / band_6 / B6 / swir1 0
uint16 swir22 / SR_B7 / band_7 / B7 / swir2 0
uint16 qa_pixel / pixel_quality / level2_qa / QA_PIXEL / pixel_qa 1
uint8 qa_aerosol / sr_aerosol / SR_QA_AEROSOL / aerosol_qa 1
uint16 qa_radsat / saturation_qa / QA_RADSAT / radsat_qa 1

Total: 10

Definition 🔗

RAW As Stac
name: landsat9_c2l2_sr
license: CC-BY-4.0
metadata_type: eo3
description: Landsat 9 Collection 2 Level-2 Surface Reflectance, processed using LaSRC. 30m UTM based projection.
metadata:
product:
name: landsat9_c2l2_sr
measurements: [
name: coastal
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B1
band_1
B1
coastal_aerosol
]
name: blue
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B2
band_2
B2
]
name: green
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B3
band_3
B3
]
name: red
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B4
band_4
B4
]
name: nir08
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B5
band_5
B5
nir
]
name: swir16
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B6
band_6
B6
swir1
]
name: swir22
dtype: uint16
units: reflectance
nodata: 0
aliases: [
SR_B7
band_7
B7
swir2
]
name: qa_pixel
dtype: uint16
units: bit_index
nodata: 1
aliases: [
pixel_quality
level2_qa
QA_PIXEL
pixel_qa
]
flags_definition:
snow:
bits: 5
values:
0: not_high_confidence
1: high_confidence
clear:
bits: 6
values:
0: not_clear
1: clear
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
qa_pixel:
bits: [
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
]
values:
1: Fill
2: Dilated Cloud
4: Cirrus
8: Cloud
16: Cloud Shadow
32: Snow
64: Clear
128: Water
256: Cloud Confidence low bit
512: Cloud Confidence high bit
1024: Cloud Shadow Confidence low bit
2048: Cloud Shadow Confidence high bit
4096: Snow Ice Confidence low bit
8192: Snow Ice Confidence high bit
16384: Cirrus Confidence low bit
32768: Cirrus Confidence high bit
description: Level 2 pixel quality
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_aerosol
dtype: uint8
units: bit_index
nodata: 1
aliases: [
sr_aerosol
SR_QA_AEROSOL
aerosol_qa
]
flags_definition:
water:
bits: 2
values:
0: not_water
1: water
nodata:
bits: 0
values:
0: False
1: True
qa_aerosol:
bits: [
0
1
2
3
4
5
6
7
]
values:
1: Fill
2: Valid aerosol retrieval
4: Water
8: Unused
16: Unused
32: Interpolated Aerosol
64: Aerosol Level low bit
128: Aerosol Level high bit
description: Aerosol quality assessment
aerosol_level:
bits: [
6
7
]
values:
0: climatology
1: low
2: medium
3: high
valid_retrieval:
bits: 1
values:
0: not_valid
1: valid
interp_retrieval:
bits: 5
values:
0: not_aerosol_interpolated
1: aerosol_interpolated
name: qa_radsat
dtype: uint16
units: bit_index
nodata: 1
aliases: [
saturation_qa
QA_RADSAT
radsat_qa
]
flags_definition:
qa_radsat:
bits: [
0
1
2
3
4
5
6
7
8
9
10
11
]
values:
1: Band 1 Data Saturation
2: Band 2 Data Saturation
4: Band 3 Data Saturation
8: Band 4 Data Saturation
16: Band 5 Data Saturation
32: Band 6 Data Saturation
64: Band 7 Data Saturation
128: Unused
256: Band 9 Data Saturation
512: Unused
1024: Unused
2048: Terrain occlusion
description: Radiometric saturation
b1_saturation:
bits: 0
values:
0: no_saturation
1: saturated_data
b2_saturation:
bits: 1
values:
0: no_saturation
1: saturated_data
b3_saturation:
bits: 2
values:
0: no_saturation
1: saturated_data
b4_saturation:
bits: 3
values:
0: no_saturation
1: saturated_data
b5_saturation:
bits: 4
values:
0: no_saturation
1: saturated_data
b6_saturation:
bits: 5
values:
0: no_saturation
1: saturated_data
b7_saturation:
bits: 6
values:
0: no_saturation
1: saturated_data
b9_saturation:
bits: 8
values:
0: no_saturation
1: saturated_data
terrain_occlusion:
bits: 11
values:
0: no_terrain_occlusion
1: terrain_occlusion
]