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
2021-12-08 10:37:25	ga_ls9c_ard_3-2-1_103075_2021-12-08_final.stac-item
2021-12-10 10:25:02	ga_ls9c_ard_3-2-1_101075_2021-12-10_final.stac-item
2021-12-15 10:43:31	ga_ls9c_ard_3-2-1_104075_2021-12-15_final.stac-item
2021-12-17 10:31:08	ga_ls9c_ard_3-2-1_102075_2021-12-17_final.stac-item
2021-12-26 10:24:58	ga_ls9c_ard_3-2-1_101075_2021-12-26_final.stac-item
2021-12-31 10:43:30	ga_ls9c_ard_3-2-1_104075_2021-12-31_final.stac-item
2022-01-09 10:37:18	ga_ls9c_ard_3-2-1_103075_2022-01-09_final.stac-item
2022-01-13 11:51:26	ga_ls9c_ard_3-2-1_115075_2022-01-13_final.stac-item
2022-02-05 10:18:46	ga_ls9c_ard_3-2-1_100075_2022-02-05_final.stac-item
2022-02-14 11:51:25	ga_ls9c_ard_3-2-1_115075_2022-02-14_final.stac-item
2022-02-26 10:37:07	ga_ls9c_ard_3-2-1_103075_2022-02-26_final.stac-item
2022-03-02 11:51:13	ga_ls9c_ard_3-2-1_115075_2022-03-02_final.stac-item
2022-03-23 10:30:50	ga_ls9c_ard_3-2-1_102075_2022-03-23_final.stac-item
2022-04-08 10:30:47	ga_ls9c_ard_3-2-1_102075_2022-04-08_final.stac-item
2022-04-17 10:24:30	ga_ls9c_ard_3-2-1_101075_2022-04-17_final.stac-item
2022-06-06 11:50:44	ga_ls9c_ard_3-2-1_115075_2022-06-06_final.stac-item
2022-06-20 10:24:25	ga_ls9c_ard_3-2-1_101075_2022-06-20_final.stac-item
2022-06-22 11:51:00	ga_ls9c_ard_3-2-1_115075_2022-06-22_final.stac-item
2022-07-08 11:51:03	ga_ls9c_ard_3-2-1_115075_2022-07-08_final.stac-item
2022-07-24 11:51:10	ga_ls9c_ard_3-2-1_115075_2022-07-24_final.stac-item
2022-07-27 10:43:13	ga_ls9c_ard_3-2-1_104075_2022-07-27_final.stac-item
2022-08-09 11:51:21	ga_ls9c_ard_3-2-1_115075_2022-08-09_final.stac-item
2022-08-14 10:31:03	ga_ls9c_ard_3-2-1_102075_2022-08-14_final.stac-item
2022-08-25 11:51:26	ga_ls9c_ard_3-2-1_115075_2022-08-25_final.stac-item
2022-08-28 10:43:27	ga_ls9c_ard_3-2-1_104075_2022-08-28_final.stac-item
2022-09-15 10:31:09	ga_ls9c_ard_3-2-1_102075_2022-09-15_final.stac-item
2022-09-22 10:37:23	ga_ls9c_ard_3-2-1_103075_2022-09-22_final.stac-item
2022-09-26 11:51:34	ga_ls9c_ard_3-2-1_115075_2022-09-26_final.stac-item
2022-09-28 10:00:19	ga_ls9c_ard_3-2-1_097075_2022-09-28_final.stac-item
2022-10-05 10:06:29	ga_ls9c_ard_3-2-1_098075_2022-10-05_final.stac-item
2022-10-08 10:37:24	ga_ls9c_ard_3-2-1_103075_2022-10-08_final.stac-item
2022-10-12 11:51:37	ga_ls9c_ard_3-2-1_115075_2022-10-12_final.stac-item
2022-10-14 10:00:23	ga_ls9c_ard_3-2-1_097075_2022-10-14_final.stac-item
2022-10-15 10:43:39	ga_ls9c_ard_3-2-1_104075_2022-10-15_final.stac-item
2022-10-21 10:06:36	ga_ls9c_ard_3-2-1_098075_2022-10-21_final.stac-item
2022-10-28 11:51:39	ga_ls9c_ard_3-2-1_115075_2022-10-28_final.stac-item
2022-10-31 10:43:39	ga_ls9c_ard_3-2-1_104075_2022-10-31_final.stac-item
2022-11-06 10:06:34	ga_ls9c_ard_3-2-1_098075_2022-11-06_final.stac-item
2022-11-15 10:00:26	ga_ls9c_ard_3-2-1_097075_2022-11-15_final.stac-item
2022-11-16 10:43:42	ga_ls9c_ard_3-2-1_104075_2022-11-16_final.stac-item
2022-11-22 10:06:36	ga_ls9c_ard_3-2-1_098075_2022-11-22_final.stac-item
2022-11-29 11:51:38	ga_ls9c_ard_3-2-1_115075_2022-11-29_final.stac-item
2022-12-01 10:00:22	ga_ls9c_ard_3-2-1_097075_2022-12-01_final.stac-item
2022-12-02 10:43:38	ga_ls9c_ard_3-2-1_104075_2022-12-02_final.stac-item
2022-12-08 10:06:35	ga_ls9c_ard_3-2-1_098075_2022-12-08_final.stac-item
2022-12-15 11:51:39	ga_ls9c_ard_3-2-1_115075_2022-12-15_final.stac-item
2022-12-17 10:00:24	ga_ls9c_ard_3-2-1_097075_2022-12-17_final.stac-item
2022-12-24 10:06:32	ga_ls9c_ard_3-2-1_098075_2022-12-24_final.stac-item
2022-12-31 11:51:39	ga_ls9c_ard_3-2-1_115075_2022-12-31_final.stac-item
2023-01-03 10:43:41	ga_ls9c_ard_3-2-1_104075_2023-01-03_final.stac-item
2023-01-09 10:06:35	ga_ls9c_ard_3-2-1_098075_2023-01-09_final.stac-item
2023-01-16 11:51:34	ga_ls9c_ard_3-2-1_115075_2023-01-16_final.stac-item
2023-01-25 10:06:31	ga_ls9c_ard_3-2-1_098075_2023-01-25_final.stac-item
2023-02-01 11:51:40	ga_ls9c_ard_3-2-1_115075_2023-02-01_final.stac-item
2023-02-03 10:00:27	ga_ls9c_ard_3-2-1_097075_2023-02-03_final.stac-item
2023-02-08 11:57:54	ga_ls9c_ard_3-2-1_116075_2023-02-08_final.stac-item
2023-02-10 10:06:39	ga_ls9c_ard_3-2-1_098075_2023-02-10_final.stac-item
2023-02-17 11:51:38	ga_ls9c_ard_3-2-1_115075_2023-02-17_final.stac-item
2023-02-24 11:57:39	ga_ls9c_ard_3-2-1_116075_2023-02-24_final.stac-item
2023-03-12 11:57:32	ga_ls9c_ard_3-2-1_116075_2023-03-12_final.stac-item
2023-03-23 10:00:03	ga_ls9c_ard_3-2-1_097075_2023-03-23_final.stac-item
2023-04-06 11:51:09	ga_ls9c_ard_3-2-1_115075_2023-04-06_final.stac-item
2023-04-09 10:43:09	ga_ls9c_ard_3-2-1_104075_2023-04-09_final.stac-item
2023-04-22 11:51:03	ga_ls9c_ard_3-2-1_115075_2023-04-22_final.stac-item
2023-04-24 09:59:47	ga_ls9c_ard_3-2-1_097075_2023-04-24_final.stac-item
2023-04-29 11:57:08	ga_ls9c_ard_3-2-1_116075_2023-04-29_final.stac-item
2023-05-01 10:05:52	ga_ls9c_ard_3-2-1_098075_2023-05-01_final.stac-item
2023-05-08 11:50:51	ga_ls9c_ard_3-2-1_115075_2023-05-08_final.stac-item
2023-05-10 09:59:37	ga_ls9c_ard_3-2-1_097075_2023-05-10_final.stac-item
2023-05-17 10:05:44	ga_ls9c_ard_3-2-1_098075_2023-05-17_final.stac-item
2023-06-09 11:50:37	ga_ls9c_ard_3-2-1_115075_2023-06-09_final.stac-item
2023-06-16 11:56:42	ga_ls9c_ard_3-2-1_116075_2023-06-16_final.stac-item
2023-06-18 10:05:28	ga_ls9c_ard_3-2-1_098075_2023-06-18_final.stac-item
2023-06-25 11:50:31	ga_ls9c_ard_3-2-1_115075_2023-06-25_final.stac-item
2023-06-27 09:59:19	ga_ls9c_ard_3-2-1_097075_2023-06-27_final.stac-item
2023-07-02 11:56:52	ga_ls9c_ard_3-2-1_116075_2023-07-02_final.stac-item
2023-07-04 10:05:39	ga_ls9c_ard_3-2-1_098075_2023-07-04_final.stac-item
2023-07-11 11:50:47	ga_ls9c_ard_3-2-1_115075_2023-07-11_final.stac-item
2023-07-18 11:57:00	ga_ls9c_ard_3-2-1_116075_2023-07-18_final.stac-item
2023-08-03 11:57:07	ga_ls9c_ard_3-2-1_116075_2023-08-03_final.stac-item
2023-08-12 11:50:59	ga_ls9c_ard_3-2-1_115075_2023-08-12_final.stac-item
2023-08-28 11:51:07	ga_ls9c_ard_3-2-1_115075_2023-08-28_final.stac-item
2023-09-04 11:57:21	ga_ls9c_ard_3-2-1_116075_2023-09-04_final.stac-item
2023-09-13 11:51:17	ga_ls9c_ard_3-2-1_115075_2023-09-13_final.stac-item
2023-09-20 11:57:28	ga_ls9c_ard_3-2-1_116075_2023-09-20_final.stac-item
2023-10-06 11:57:30	ga_ls9c_ard_3-2-1_116075_2023-10-06_final.stac-item
2023-10-15 11:51:26	ga_ls9c_ard_3-2-1_115075_2023-10-15_final.stac-item
2023-10-22 11:57:38	ga_ls9c_ard_3-2-1_116075_2023-10-22_final.stac-item
2023-11-23 11:57:40	ga_ls9c_ard_3-2-1_116075_2023-11-23_final.stac-item
2023-12-02 11:51:30	ga_ls9c_ard_3-2-1_115075_2023-12-02_final.stac-item
2023-12-09 11:57:37	ga_ls9c_ard_3-2-1_116075_2023-12-09_final.stac-item
2023-12-18 11:51:32	ga_ls9c_ard_3-2-1_115075_2023-12-18_final.stac-item
2023-12-25 11:57:44	ga_ls9c_ard_3-2-1_116075_2023-12-25_final.stac-item
2024-01-10 11:57:39	ga_ls9c_ard_3-2-1_116075_2024-01-10_final.stac-item
2024-01-26 11:57:37	ga_ls9c_ard_3-2-1_116075_2024-01-26_final.stac-item
2024-02-04 11:51:31	ga_ls9c_ard_3-2-1_115075_2024-02-04_final.stac-item
2024-02-11 11:57:41	ga_ls9c_ard_3-2-1_116075_2024-02-11_final.stac-item
2024-02-27 11:57:31	ga_ls9c_ard_3-2-1_116075_2024-02-27_final.stac-item
2024-03-14 11:57:33	ga_ls9c_ard_3-2-1_116075_2024-03-14_final.stac-item
2024-03-23 11:51:20	ga_ls9c_ard_3-2-1_115075_2024-03-23_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years