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
2021-11-03 09:55:21	ga_ls9c_ard_3-2-1_096076_2021-11-03_final.stac-item
2021-11-12 09:20:21	ga_ls9c_ard_3-2-1_091076_2021-11-11_final.stac-item
2021-11-14 10:40:16	ga_ls9c_ard_3-2-1_103076_2021-11-14_final.stac-item
2021-11-15 09:41:33	ga_ls9c_ard_3-2-1_094076_2021-11-15_final.stac-item
2021-11-19 10:42:43	ga_ls9c_ard_3-2-1_104076_2021-11-19_final.stac-item
2021-11-20 09:44:01	ga_ls9c_ard_3-2-1_094076_2021-11-20_final.stac-item
2021-11-22 11:03:32	ga_ls9c_ard_3-2-1_107075_2021-11-22_final.stac-item
2021-11-23 10:05:13	ga_ls9c_ard_3-2-1_098076_2021-11-23_final.stac-item
2021-11-24 10:45:10	ga_ls9c_ard_3-2-1_104076_2021-11-24_final.stac-item
2021-11-25 09:46:28	ga_ls9c_ard_3-2-1_095076_2021-11-25_final.stac-item
2021-12-20 09:23:34	ga_ls9c_ard_3-2-1_091076_2021-12-19_final.stac-item
2022-05-06 10:55:17	ga_ls9c_ard_3-2-1_106075_2022-05-06_final.stac-item
2022-06-06 10:12:15	ga_ls9c_ard_3-2-1_099076_2022-06-06_final.stac-item
2022-06-07 10:55:07	ga_ls9c_ard_3-2-1_106075_2022-06-07_final.stac-item
2022-06-17 09:53:49	ga_ls9c_ard_3-2-1_096076_2022-06-17_final.stac-item
2022-06-20 10:24:49	ga_ls9c_ard_3-2-1_101076_2022-06-20_final.stac-item
2022-06-26 09:47:53	ga_ls9c_ard_3-2-1_095076_2022-06-26_final.stac-item
2022-07-04 10:37:18	ga_ls9c_ard_3-2-1_103076_2022-07-04_final.stac-item
2022-07-05 09:41:41	ga_ls9c_ard_3-2-1_094076_2022-07-05_final.stac-item
2022-07-17 10:06:23	ga_ls9c_ard_3-2-1_098076_2022-07-17_final.stac-item
2022-07-28 09:48:01	ga_ls9c_ard_3-2-1_095076_2022-07-28_final.stac-item
2022-08-01 09:23:20	ga_ls9c_ard_3-2-1_091076_2022-07-31_final.stac-item
2022-08-06 09:41:56	ga_ls9c_ard_3-2-1_094076_2022-08-06_final.stac-item
2022-08-13 09:48:11	ga_ls9c_ard_3-2-1_095076_2022-08-13_final.stac-item
2022-09-05 09:54:24	ga_ls9c_ard_3-2-1_096076_2022-09-05_final.stac-item
2022-10-07 09:54:32	ga_ls9c_ard_3-2-1_096076_2022-10-07_final.stac-item
2022-10-12 10:13:08	ga_ls9c_ard_3-2-1_099076_2022-10-12_final.stac-item
2022-10-23 09:54:38	ga_ls9c_ard_3-2-1_096076_2022-10-23_final.stac-item
2022-10-25 09:42:16	ga_ls9c_ard_3-2-1_094076_2022-10-25_final.stac-item
2022-11-05 09:23:41	ga_ls9c_ard_3-2-1_091076_2022-11-04_interim.stac-item
2022-12-07 09:23:43	ga_ls9c_ard_3-2-1_091076_2022-12-06_final.stac-item
2022-12-07 09:23:43	ga_ls9c_ard_3-2-1_091076_2022-12-06_nrt.stac-item
2023-02-13 10:37:32	ga_ls9c_ard_3-2-1_103075_2023-02-13_final.stac-item
2023-02-22 10:31:10	ga_ls9c_ard_3-2-1_102075_2023-02-22_final.stac-item
2023-03-01 10:37:18	ga_ls9c_ard_3-2-1_103075_2023-03-01_final.stac-item
2023-06-20 09:53:30	ga_ls9c_ard_3-2-1_096076_2023-06-20_final.stac-item
2023-06-23 10:24:24	ga_ls9c_ard_3-2-1_101076_2023-06-23_final.stac-item
2023-06-25 10:12:02	ga_ls9c_ard_3-2-1_099076_2023-06-25_final.stac-item
2023-06-29 09:47:25	ga_ls9c_ard_3-2-1_095076_2023-06-29_final.stac-item
2023-07-03 09:22:47	ga_ls9c_ard_3-2-1_091076_2023-07-02_final.stac-item
2023-07-06 09:53:43	ga_ls9c_ard_3-2-1_096076_2023-07-06_final.stac-item
2023-07-14 10:42:49	ga_ls9c_ard_3-2-1_104075_2023-07-14_final.stac-item
2023-07-16 10:30:28	ga_ls9c_ard_3-2-1_102075_2023-07-16_final.stac-item
2023-07-23 10:36:38	ga_ls9c_ard_3-2-1_103075_2023-07-23_final.stac-item
2023-07-23 10:37:02	ga_ls9c_ard_3-2-1_103076_2023-07-23_final.stac-item
2023-07-30 10:42:53	ga_ls9c_ard_3-2-1_104075_2023-07-30_final.stac-item
2023-08-01 10:30:34	ga_ls9c_ard_3-2-1_102075_2023-08-01_final.stac-item
2023-08-02 09:35:21	ga_ls9c_ard_3-2-1_093076_2023-08-02_final.stac-item
2023-08-08 10:36:48	ga_ls9c_ard_3-2-1_103075_2023-08-08_final.stac-item
2023-08-15 10:43:00	ga_ls9c_ard_3-2-1_104075_2023-08-15_final.stac-item
2023-08-16 09:47:46	ga_ls9c_ard_3-2-1_095076_2023-08-16_final.stac-item
2023-08-18 09:35:24	ga_ls9c_ard_3-2-1_093076_2023-08-18_final.stac-item
2023-08-24 10:36:54	ga_ls9c_ard_3-2-1_103075_2023-08-24_final.stac-item
2023-08-30 10:00:17	ga_ls9c_ard_3-2-1_097076_2023-08-30_final.stac-item
2023-08-31 10:43:10	ga_ls9c_ard_3-2-1_104075_2023-08-31_final.stac-item
2023-09-01 09:47:57	ga_ls9c_ard_3-2-1_095076_2023-09-01_final.stac-item
2023-09-09 10:37:05	ga_ls9c_ard_3-2-1_103075_2023-09-09_final.stac-item
2023-09-16 10:43:18	ga_ls9c_ard_3-2-1_104075_2023-09-16_final.stac-item
2023-09-18 10:30:57	ga_ls9c_ard_3-2-1_102075_2023-09-18_final.stac-item
2023-09-25 10:37:04	ga_ls9c_ard_3-2-1_103075_2023-09-25_final.stac-item
2023-10-02 10:43:17	ga_ls9c_ard_3-2-1_104075_2023-10-02_final.stac-item
2023-10-02 10:43:17	ga_ls9c_ard_3-2-1_104075_2023-10-02_interim.stac-item
2023-10-04 10:30:58	ga_ls9c_ard_3-2-1_102075_2023-10-04_final.stac-item
2023-10-04 10:30:58	ga_ls9c_ard_3-2-1_102075_2023-10-04_interim.stac-item
2023-10-11 10:37:13	ga_ls9c_ard_3-2-1_103075_2023-10-11_final.stac-item
2023-10-18 10:43:28	ga_ls9c_ard_3-2-1_104075_2023-10-18_final.stac-item
2023-10-19 09:48:15	ga_ls9c_ard_3-2-1_095076_2023-10-19_final.stac-item
2023-10-20 10:31:07	ga_ls9c_ard_3-2-1_102075_2023-10-20_final.stac-item
2023-10-23 11:02:24	ga_ls9c_ard_3-2-1_107076_2023-10-23_final.stac-item
2023-10-27 10:37:15	ga_ls9c_ard_3-2-1_103075_2023-10-27_final.stac-item
2023-10-30 11:08:31	ga_ls9c_ard_3-2-1_108076_2023-10-30_final.stac-item
2023-11-03 10:43:20	ga_ls9c_ard_3-2-1_104075_2023-11-03_final.stac-item
2023-11-08 11:02:20	ga_ls9c_ard_3-2-1_107076_2023-11-08_final.stac-item
2023-11-12 10:37:13	ga_ls9c_ard_3-2-1_103075_2023-11-12_final.stac-item
2023-11-15 11:08:31	ga_ls9c_ard_3-2-1_108076_2023-11-15_final.stac-item
2023-11-19 10:43:27	ga_ls9c_ard_3-2-1_104075_2023-11-19_final.stac-item
2023-11-21 10:31:07	ga_ls9c_ard_3-2-1_102075_2023-11-21_final.stac-item
2023-11-28 10:37:21	ga_ls9c_ard_3-2-1_103075_2023-11-28_final.stac-item
2023-12-05 10:43:29	ga_ls9c_ard_3-2-1_104075_2023-12-05_final.stac-item
2023-12-14 10:37:20	ga_ls9c_ard_3-2-1_103075_2023-12-14_final.stac-item
2023-12-21 10:43:34	ga_ls9c_ard_3-2-1_104075_2023-12-21_final.stac-item
2023-12-23 10:31:12	ga_ls9c_ard_3-2-1_102075_2023-12-23_final.stac-item
2023-12-30 10:37:21	ga_ls9c_ard_3-2-1_103075_2023-12-30_final.stac-item
2024-01-06 10:43:26	ga_ls9c_ard_3-2-1_104075_2024-01-06_final.stac-item
2024-01-22 10:43:27	ga_ls9c_ard_3-2-1_104075_2024-01-22_final.stac-item
2024-01-22 10:43:27	ga_ls9c_ard_3-2-1_104075_2024-01-22_interim.stac-item
2024-02-07 10:43:32	ga_ls9c_ard_3-2-1_104075_2024-02-07_final.stac-item
2024-02-09 10:31:10	ga_ls9c_ard_3-2-1_102075_2024-02-09_final.stac-item
2024-02-16 10:37:16	ga_ls9c_ard_3-2-1_103075_2024-02-16_final.stac-item
2024-02-23 10:43:17	ga_ls9c_ard_3-2-1_104075_2024-02-23_final.stac-item
2024-03-10 10:43:24	ga_ls9c_ard_3-2-1_104075_2024-03-10_final.stac-item
2024-03-12 10:31:02	ga_ls9c_ard_3-2-1_102075_2024-03-12_final.stac-item
2024-03-19 10:37:12	ga_ls9c_ard_3-2-1_103075_2024-03-19_final.stac-item
2024-03-26 10:43:18	ga_ls9c_ard_3-2-1_104075_2024-03-26_final.stac-item
2024-03-28 10:30:53	ga_ls9c_ard_3-2-1_102075_2024-03-28_final.stac-item
2024-04-04 10:37:03	ga_ls9c_ard_3-2-1_103075_2024-04-04_final.stac-item
2024-04-11 10:43:10	ga_ls9c_ard_3-2-1_104075_2024-04-11_final.stac-item
2024-04-13 10:30:47	ga_ls9c_ard_3-2-1_102075_2024-04-13_final.stac-item
2024-04-20 10:36:48	ga_ls9c_ard_3-2-1_103075_2024-04-20_final.stac-item
2024-04-20 10:36:48	ga_ls9c_ard_3-2-1_103075_2024-04-20_interim.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