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
2023-03-14 10:02:42	ga_ls9c_ard_3-2-1_098066_2023-03-14_final.stac-item
2023-03-16 08:24:14	ga_ls9c_ard_3-2-1_080098_2023-03-15_final.stac-item
2023-05-12 08:10:21	ga_ls9c_ard_3-2-1_079080_2023-05-11_final.stac-item
2023-05-31 08:41:53	ga_ls9c_ard_3-2-1_084082_2023-05-30_final.stac-item
2023-06-01 10:58:50	ga_ls9c_ard_3-2-1_107069_2023-06-01_final.stac-item
2023-06-01 12:36:56	ga_ls9c_ard_3-2-1_123067_2023-06-01_final.stac-item
2023-06-19 09:15:02	ga_ls9c_ard_3-2-1_089088_2023-06-18_final.stac-item
2023-07-04 10:02:04	ga_ls9c_ard_3-2-1_098066_2023-07-04_final.stac-item
2023-07-05 09:15:14	ga_ls9c_ard_3-2-1_089088_2023-07-04_final.stac-item
2023-07-25 08:48:10	ga_ls9c_ard_3-2-1_085082_2023-07-24_final.stac-item
2023-08-10 08:48:22	ga_ls9c_ard_3-2-1_085082_2023-08-09_final.stac-item
2023-08-12 10:08:30	ga_ls9c_ard_3-2-1_099066_2023-08-12_final.stac-item
2023-08-28 10:08:39	ga_ls9c_ard_3-2-1_099066_2023-08-28_final.stac-item
2023-08-29 12:31:12	ga_ls9c_ard_3-2-1_122067_2023-08-29_final.stac-item
2023-08-30 11:42:22	ga_ls9c_ard_3-2-1_113084_2023-08-30_final.stac-item
2023-08-31 14:09:43	ga_ls9c_ard_3-2-1_136097_2023-08-31_final.stac-item
2023-09-01 08:17:51	ga_ls9c_ard_3-2-1_079098_2023-08-31_final.stac-item
2023-09-16 14:09:51	ga_ls9c_ard_3-2-1_136097_2023-09-16_final.stac-item
2023-09-17 08:17:59	ga_ls9c_ard_3-2-1_079098_2023-09-16_final.stac-item
2023-09-22 10:02:37	ga_ls9c_ard_3-2-1_098066_2023-09-22_final.stac-item
2023-10-06 08:42:32	ga_ls9c_ard_3-2-1_084082_2023-10-05_final.stac-item
2023-10-06 11:57:30	ga_ls9c_ard_3-2-1_116075_2023-10-06_final.stac-item
2023-10-07 10:59:30	ga_ls9c_ard_3-2-1_107069_2023-10-07_final.stac-item
2023-10-07 12:37:35	ga_ls9c_ard_3-2-1_123067_2023-10-07_final.stac-item
2023-10-08 10:02:41	ga_ls9c_ard_3-2-1_098066_2023-10-08_final.stac-item
2023-10-10 08:24:14	ga_ls9c_ard_3-2-1_080098_2023-10-09_final.stac-item
2023-10-31 10:08:54	ga_ls9c_ard_3-2-1_099066_2023-10-31_final.stac-item
2023-11-01 12:31:25	ga_ls9c_ard_3-2-1_122067_2023-11-01_final.stac-item
2023-11-17 12:31:28	ga_ls9c_ard_3-2-1_122067_2023-11-17_final.stac-item
2023-11-18 11:42:39	ga_ls9c_ard_3-2-1_113084_2023-11-18_final.stac-item
2023-12-05 14:10:02	ga_ls9c_ard_3-2-1_136097_2023-12-05_final.stac-item
2023-12-06 08:10:57	ga_ls9c_ard_3-2-1_079080_2023-12-05_final.stac-item
2023-12-06 08:18:09	ga_ls9c_ard_3-2-1_079098_2023-12-05_final.stac-item
2023-12-25 11:57:44	ga_ls9c_ard_3-2-1_116075_2023-12-25_final.stac-item
2023-12-28 09:16:02	ga_ls9c_ard_3-2-1_089088_2023-12-27_final.stac-item
2024-01-20 12:31:32	ga_ls9c_ard_3-2-1_122067_2024-01-20_final.stac-item
2024-02-05 12:31:35	ga_ls9c_ard_3-2-1_122067_2024-02-05_final.stac-item
2024-02-07 14:10:05	ga_ls9c_ard_3-2-1_136097_2024-02-07_final.stac-item
2024-02-08 08:18:13	ga_ls9c_ard_3-2-1_079098_2024-02-07_final.stac-item
2024-02-21 12:31:23	ga_ls9c_ard_3-2-1_122067_2024-02-21_final.stac-item
2024-02-23 14:09:51	ga_ls9c_ard_3-2-1_136097_2024-02-23_final.stac-item
2024-02-24 08:10:48	ga_ls9c_ard_3-2-1_079080_2024-02-23_final.stac-item
2024-02-24 08:17:59	ga_ls9c_ard_3-2-1_079098_2024-02-23_final.stac-item
2024-03-18 08:24:14	ga_ls9c_ard_3-2-1_080098_2024-03-17_final.stac-item
2024-03-23 10:08:51	ga_ls9c_ard_3-2-1_099066_2024-03-23_final.stac-item
2024-03-26 14:09:51	ga_ls9c_ard_3-2-1_136097_2024-03-26_final.stac-item
2024-03-27 09:46:27	ga_ls9c_ard_3-2-1_095072_2024-03-27_final.stac-item
2024-03-27 09:46:51	ga_ls9c_ard_3-2-1_095073_2024-03-27_final.stac-item
2024-03-27 09:47:39	ga_ls9c_ard_3-2-1_095075_2024-03-27_final.stac-item
2024-03-27 09:49:15	ga_ls9c_ard_3-2-1_095079_2024-03-27_final.stac-item
2024-03-27 09:49:39	ga_ls9c_ard_3-2-1_095080_2024-03-27_final.stac-item
2024-03-27 11:25:20	ga_ls9c_ard_3-2-1_111072_2024-03-27_final.stac-item
2024-03-27 11:29:20	ga_ls9c_ard_3-2-1_111082_2024-03-27_final.stac-item
2024-03-28 10:29:41	ga_ls9c_ard_3-2-1_102072_2024-03-28_final.stac-item
2024-03-28 10:30:05	ga_ls9c_ard_3-2-1_102073_2024-03-28_final.stac-item
2024-03-28 10:32:29	ga_ls9c_ard_3-2-1_102079_2024-03-28_final.stac-item
2024-03-29 09:38:50	ga_ls9c_ard_3-2-1_093084_2024-03-29_final.stac-item
2024-03-29 09:39:14	ga_ls9c_ard_3-2-1_093085_2024-03-29_final.stac-item
2024-03-29 09:39:38	ga_ls9c_ard_3-2-1_093086_2024-03-29_final.stac-item
2024-03-29 11:13:44	ga_ls9c_ard_3-2-1_109074_2024-03-29_final.stac-item
2024-03-29 11:15:20	ga_ls9c_ard_3-2-1_109078_2024-03-29_final.stac-item
2024-03-29 11:16:31	ga_ls9c_ard_3-2-1_109081_2024-03-29_final.stac-item
2024-03-30 10:19:42	ga_ls9c_ard_3-2-1_100078_2024-03-30_final.stac-item
2024-03-30 11:57:24	ga_ls9c_ard_3-2-1_116075_2024-03-30_final.stac-item
2024-03-31 09:28:29	ga_ls9c_ard_3-2-1_091089_2024-03-30_final.stac-item
2024-04-01 10:05:45	ga_ls9c_ard_3-2-1_098074_2024-04-01_final.stac-item
2024-04-01 10:06:33	ga_ls9c_ard_3-2-1_098076_2024-04-01_final.stac-item
2024-04-01 10:06:57	ga_ls9c_ard_3-2-1_098077_2024-04-01_final.stac-item
2024-04-01 10:07:21	ga_ls9c_ard_3-2-1_098078_2024-04-01_final.stac-item
2024-04-01 10:07:45	ga_ls9c_ard_3-2-1_098079_2024-04-01_final.stac-item
2024-04-01 10:08:09	ga_ls9c_ard_3-2-1_098080_2024-04-01_final.stac-item
2024-04-01 11:45:50	ga_ls9c_ard_3-2-1_114077_2024-04-01_final.stac-item
2024-04-01 11:46:14	ga_ls9c_ard_3-2-1_114078_2024-04-01_final.stac-item
2024-04-01 11:46:38	ga_ls9c_ard_3-2-1_114079_2024-04-01_final.stac-item
2024-04-02 09:14:55	ga_ls9c_ard_3-2-1_089086_2024-04-01_final.stac-item
2024-04-02 09:16:07	ga_ls9c_ard_3-2-1_089089_2024-04-01_final.stac-item
2024-04-03 09:53:23	ga_ls9c_ard_3-2-1_096074_2024-04-03_final.stac-item
2024-04-03 09:55:47	ga_ls9c_ard_3-2-1_096080_2024-04-03_final.stac-item
2024-04-03 09:56:11	ga_ls9c_ard_3-2-1_096081_2024-04-03_final.stac-item
2024-04-03 09:56:59	ga_ls9c_ard_3-2-1_096083_2024-04-03_final.stac-item
2024-04-03 09:57:23	ga_ls9c_ard_3-2-1_096084_2024-04-03_final.stac-item
2024-04-03 09:58:11	ga_ls9c_ard_3-2-1_096086_2024-04-03_final.stac-item
2024-04-03 11:32:40	ga_ls9c_ard_3-2-1_112075_2024-04-03_final.stac-item
2024-04-03 11:33:28	ga_ls9c_ard_3-2-1_112077_2024-04-03_final.stac-item
2024-04-03 11:33:52	ga_ls9c_ard_3-2-1_112078_2024-04-03_final.stac-item
2024-04-03 11:34:16	ga_ls9c_ard_3-2-1_112079_2024-04-03_final.stac-item
2024-04-03 11:35:28	ga_ls9c_ard_3-2-1_112082_2024-04-03_final.stac-item
2024-04-04 10:35:27	ga_ls9c_ard_3-2-1_103071_2024-04-04_final.stac-item
2024-04-04 10:38:38	ga_ls9c_ard_3-2-1_103079_2024-04-04_final.stac-item
2024-04-04 10:39:26	ga_ls9c_ard_3-2-1_103081_2024-04-04_final.stac-item
2024-04-05 09:41:01	ga_ls9c_ard_3-2-1_094074_2024-04-05_final.stac-item
2024-04-05 09:42:13	ga_ls9c_ard_3-2-1_094077_2024-04-05_final.stac-item
2024-04-05 11:20:18	ga_ls9c_ard_3-2-1_110075_2024-04-05_final.stac-item
2024-04-05 11:23:06	ga_ls9c_ard_3-2-1_110082_2024-04-05_final.stac-item
2024-04-05 11:23:54	ga_ls9c_ard_3-2-1_110084_2024-04-05_final.stac-item
2024-04-06 08:48:35	ga_ls9c_ard_3-2-1_085082_2024-04-05_final.stac-item
2024-04-06 10:23:29	ga_ls9c_ard_3-2-1_101072_2024-04-06_final.stac-item
2024-04-06 10:25:52	ga_ls9c_ard_3-2-1_101078_2024-04-06_final.stac-item
2024-04-06 10:26:40	ga_ls9c_ard_3-2-1_101080_2024-04-06_final.stac-item
2024-04-06 10:27:28	ga_ls9c_ard_3-2-1_101082_2024-04-06_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