Search ga_ls9c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-10-31 11:11:36	ga_ls9c_ard_3-2-1_109073_2021-10-31_final.stac-item
2021-11-03 09:54:34	ga_ls9c_ard_3-2-1_096074_2021-11-03_final.stac-item
2021-11-05 09:35:49	ga_ls9c_ard_3-2-1_093074_2021-11-05_final.stac-item
2021-11-05 11:14:05	ga_ls9c_ard_3-2-1_109073_2021-11-05_final.stac-item
2021-11-10 09:38:18	ga_ls9c_ard_3-2-1_094074_2021-11-10_final.stac-item
2021-11-10 11:16:34	ga_ls9c_ard_3-2-1_110073_2021-11-10_final.stac-item
2021-11-11 10:18:15	ga_ls9c_ard_3-2-1_100074_2021-11-11_final.stac-item
2021-11-15 11:19:02	ga_ls9c_ard_3-2-1_110073_2021-11-15_final.stac-item
2021-11-16 10:20:43	ga_ls9c_ard_3-2-1_100074_2021-11-16_final.stac-item
2021-11-20 11:21:29	ga_ls9c_ard_3-2-1_110073_2021-11-20_final.stac-item
2021-11-23 11:43:05	ga_ls9c_ard_3-2-1_114074_2021-11-23_final.stac-item
2021-12-09 11:19:52	ga_ls9c_ard_3-2-1_110073_2021-12-09_final.stac-item
2021-12-18 11:13:36	ga_ls9c_ard_3-2-1_109073_2021-12-18_final.stac-item
2022-01-17 11:25:56	ga_ls9c_ard_3-2-1_111073_2022-01-17_final.stac-item
2022-02-04 11:13:36	ga_ls9c_ard_3-2-1_109073_2022-02-04_final.stac-item
2022-02-11 11:19:44	ga_ls9c_ard_3-2-1_110073_2022-02-11_final.stac-item
2022-03-08 11:13:21	ga_ls9c_ard_3-2-1_109073_2022-03-08_final.stac-item
2022-05-27 11:12:50	ga_ls9c_ard_3-2-1_109073_2022-05-27_final.stac-item
2022-06-10 11:25:14	ga_ls9c_ard_3-2-1_111073_2022-06-10_final.stac-item
2022-06-26 11:25:34	ga_ls9c_ard_3-2-1_111073_2022-06-26_final.stac-item
2022-06-28 11:13:12	ga_ls9c_ard_3-2-1_109073_2022-06-28_final.stac-item
2022-07-05 11:19:22	ga_ls9c_ard_3-2-1_110073_2022-07-05_final.stac-item
2022-07-14 11:13:07	ga_ls9c_ard_3-2-1_109073_2022-07-14_final.stac-item
2022-07-24 11:50:46	ga_ls9c_ard_3-2-1_115074_2022-07-24_final.stac-item
2022-07-28 11:25:42	ga_ls9c_ard_3-2-1_111073_2022-07-28_final.stac-item
2022-07-30 11:13:22	ga_ls9c_ard_3-2-1_109073_2022-07-30_final.stac-item
2022-08-13 11:25:52	ga_ls9c_ard_3-2-1_111073_2022-08-13_final.stac-item
2022-08-22 11:19:44	ga_ls9c_ard_3-2-1_110073_2022-08-22_final.stac-item
2022-09-14 11:25:58	ga_ls9c_ard_3-2-1_111073_2022-09-14_final.stac-item
2022-09-16 11:13:37	ga_ls9c_ard_3-2-1_109073_2022-09-16_final.stac-item
2022-10-02 11:13:41	ga_ls9c_ard_3-2-1_109073_2022-10-02_final.stac-item
2022-10-15 10:42:52	ga_ls9c_ard_3-2-1_104073_2022-10-15_final.stac-item
2022-11-09 10:36:42	ga_ls9c_ard_3-2-1_103073_2022-11-09_final.stac-item
2022-11-16 10:42:54	ga_ls9c_ard_3-2-1_104073_2022-11-16_final.stac-item
2022-12-02 10:42:50	ga_ls9c_ard_3-2-1_104073_2022-12-02_final.stac-item
2022-12-27 10:36:40	ga_ls9c_ard_3-2-1_103073_2022-12-27_final.stac-item
2023-01-03 10:42:53	ga_ls9c_ard_3-2-1_104073_2023-01-03_final.stac-item
2023-01-19 10:42:44	ga_ls9c_ard_3-2-1_104073_2023-01-19_final.stac-item
2023-01-28 10:36:40	ga_ls9c_ard_3-2-1_103073_2023-01-28_final.stac-item
2023-02-04 10:42:55	ga_ls9c_ard_3-2-1_104073_2023-02-04_final.stac-item
2023-02-13 10:36:44	ga_ls9c_ard_3-2-1_103073_2023-02-13_final.stac-item
2023-02-20 10:42:47	ga_ls9c_ard_3-2-1_104073_2023-02-20_final.stac-item
2023-04-09 10:42:21	ga_ls9c_ard_3-2-1_104073_2023-04-09_final.stac-item
2023-04-25 10:42:14	ga_ls9c_ard_3-2-1_104073_2023-04-25_final.stac-item
2023-05-04 10:35:54	ga_ls9c_ard_3-2-1_103073_2023-05-04_final.stac-item
2023-05-11 10:42:04	ga_ls9c_ard_3-2-1_104073_2023-05-11_final.stac-item
2023-05-20 10:35:48	ga_ls9c_ard_3-2-1_103073_2023-05-20_final.stac-item
2023-05-27 10:41:54	ga_ls9c_ard_3-2-1_104073_2023-05-27_final.stac-item
2023-06-05 10:35:42	ga_ls9c_ard_3-2-1_103073_2023-06-05_final.stac-item
2023-06-16 10:17:25	ga_ls9c_ard_3-2-1_100074_2023-06-16_final.stac-item
2023-06-18 10:05:04	ga_ls9c_ard_3-2-1_098074_2023-06-18_final.stac-item
2023-06-21 10:35:34	ga_ls9c_ard_3-2-1_103073_2023-06-21_final.stac-item
2023-06-27 09:58:55	ga_ls9c_ard_3-2-1_097074_2023-06-27_final.stac-item
2023-06-28 10:41:49	ga_ls9c_ard_3-2-1_104073_2023-06-28_final.stac-item
2023-07-04 10:05:15	ga_ls9c_ard_3-2-1_098074_2023-07-04_final.stac-item
2023-07-07 10:35:48	ga_ls9c_ard_3-2-1_103073_2023-07-07_final.stac-item
2023-07-15 11:25:17	ga_ls9c_ard_3-2-1_111073_2023-07-15_final.stac-item
2023-07-17 11:12:56	ga_ls9c_ard_3-2-1_109073_2023-07-17_final.stac-item
2023-07-24 11:19:05	ga_ls9c_ard_3-2-1_110073_2023-07-24_final.stac-item
2023-07-27 11:50:25	ga_ls9c_ard_3-2-1_115074_2023-07-27_final.stac-item
2023-08-02 11:13:02	ga_ls9c_ard_3-2-1_109073_2023-08-02_final.stac-item
2023-08-18 09:34:36	ga_ls9c_ard_3-2-1_093074_2023-08-18_final.stac-item
2023-08-18 11:13:05	ga_ls9c_ard_3-2-1_109073_2023-08-18_final.stac-item
2023-09-01 11:25:38	ga_ls9c_ard_3-2-1_111073_2023-09-01_final.stac-item
2023-09-03 11:13:17	ga_ls9c_ard_3-2-1_109073_2023-09-03_final.stac-item
2023-09-19 11:13:24	ga_ls9c_ard_3-2-1_109073_2023-09-19_final.stac-item
2023-09-26 11:19:31	ga_ls9c_ard_3-2-1_110073_2023-09-26_final.stac-item
2023-10-03 11:25:46	ga_ls9c_ard_3-2-1_111073_2023-10-03_final.stac-item
2023-10-05 11:13:26	ga_ls9c_ard_3-2-1_109073_2023-10-05_final.stac-item
2023-10-12 11:19:42	ga_ls9c_ard_3-2-1_110073_2023-10-12_final.stac-item
2023-10-19 11:25:56	ga_ls9c_ard_3-2-1_111073_2023-10-19_final.stac-item
2023-10-21 11:13:35	ga_ls9c_ard_3-2-1_109073_2023-10-21_final.stac-item
2023-10-28 11:19:43	ga_ls9c_ard_3-2-1_110073_2023-10-28_final.stac-item
2023-11-04 11:25:49	ga_ls9c_ard_3-2-1_111073_2023-11-04_final.stac-item
2023-11-06 11:13:29	ga_ls9c_ard_3-2-1_109073_2023-11-06_final.stac-item
2023-11-13 11:19:41	ga_ls9c_ard_3-2-1_110073_2023-11-13_final.stac-item
2023-11-20 11:25:56	ga_ls9c_ard_3-2-1_111073_2023-11-20_final.stac-item
2023-11-22 11:13:36	ga_ls9c_ard_3-2-1_109073_2023-11-22_final.stac-item
2023-11-29 11:19:49	ga_ls9c_ard_3-2-1_110073_2023-11-29_final.stac-item
2023-12-06 11:25:56	ga_ls9c_ard_3-2-1_111073_2023-12-06_final.stac-item
2023-12-08 11:13:33	ga_ls9c_ard_3-2-1_109073_2023-12-08_final.stac-item
2023-12-15 11:19:49	ga_ls9c_ard_3-2-1_110073_2023-12-15_final.stac-item
2023-12-22 11:26:02	ga_ls9c_ard_3-2-1_111073_2023-12-22_final.stac-item
2023-12-24 11:13:40	ga_ls9c_ard_3-2-1_109073_2023-12-24_final.stac-item
2023-12-31 11:19:48	ga_ls9c_ard_3-2-1_110073_2023-12-31_final.stac-item
2024-01-07 11:25:55	ga_ls9c_ard_3-2-1_111073_2024-01-07_final.stac-item
2024-01-09 11:13:35	ga_ls9c_ard_3-2-1_109073_2024-01-09_final.stac-item
2024-01-16 11:19:47	ga_ls9c_ard_3-2-1_110073_2024-01-16_final.stac-item
2024-01-23 11:25:54	ga_ls9c_ard_3-2-1_111073_2024-01-23_final.stac-item
2024-01-23 11:25:54	ga_ls9c_ard_3-2-1_111073_2024-01-23_interim.stac-item
2024-01-25 11:13:33	ga_ls9c_ard_3-2-1_109073_2024-01-25_final.stac-item
2024-01-25 11:13:33	ga_ls9c_ard_3-2-1_109073_2024-01-25_nrt.stac-item
2024-02-01 11:19:48	ga_ls9c_ard_3-2-1_110073_2024-02-01_final.stac-item
2024-02-08 11:26:00	ga_ls9c_ard_3-2-1_111073_2024-02-08_final.stac-item
2024-02-24 11:25:46	ga_ls9c_ard_3-2-1_111073_2024-02-24_final.stac-item
2024-02-26 11:13:26	ga_ls9c_ard_3-2-1_109073_2024-02-26_final.stac-item
2024-03-04 11:19:41	ga_ls9c_ard_3-2-1_110073_2024-03-04_final.stac-item
2024-03-20 11:19:39	ga_ls9c_ard_3-2-1_110073_2024-03-20_final.stac-item
2024-04-05 11:19:30	ga_ls9c_ard_3-2-1_110073_2024-04-05_final.stac-item
2024-04-14 11:13:14	ga_ls9c_ard_3-2-1_109073_2024-04-14_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years