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
2023-03-25 08:10:46	ga_ls9c_ard_3-2-1_079080_2023-03-24_final.stac-item
2023-04-26 08:17:42	ga_ls9c_ard_3-2-1_079098_2023-04-25_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
2023-06-03 09:15:10	ga_ls9c_ard_3-2-1_089088_2023-06-02_final.stac-item
2023-06-13 08:10:04	ga_ls9c_ard_3-2-1_079080_2023-06-12_final.stac-item
2023-06-19 09:15:02	ga_ls9c_ard_3-2-1_089088_2023-06-18_final.stac-item
2023-06-23 08:47:55	ga_ls9c_ard_3-2-1_085082_2023-06-22_final.stac-item
2023-06-29 08:10:08	ga_ls9c_ard_3-2-1_079080_2023-06-28_final.stac-item
2023-07-25 08:48:10	ga_ls9c_ard_3-2-1_085082_2023-07-24_final.stac-item
2023-07-31 08:10:24	ga_ls9c_ard_3-2-1_079080_2023-07-30_final.stac-item
2023-08-10 08:48:22	ga_ls9c_ard_3-2-1_085082_2023-08-09_final.stac-item
2023-08-30 11:42:22	ga_ls9c_ard_3-2-1_113084_2023-08-30_final.stac-item
2023-09-04 08:42:23	ga_ls9c_ard_3-2-1_084082_2023-09-03_final.stac-item
2023-09-05 12:37:26	ga_ls9c_ard_3-2-1_123067_2023-09-05_final.stac-item
2023-09-20 08:42:29	ga_ls9c_ard_3-2-1_084082_2023-09-19_final.stac-item
2023-09-25 14:03:38	ga_ls9c_ard_3-2-1_135097_2023-09-25_final.stac-item
2023-10-06 08:42:32	ga_ls9c_ard_3-2-1_084082_2023-10-05_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
2023-10-13 08:48:48	ga_ls9c_ard_3-2-1_085082_2023-10-12_final.stac-item
2023-10-29 08:48:47	ga_ls9c_ard_3-2-1_085082_2023-10-28_final.stac-item
2023-11-03 14:09:53	ga_ls9c_ard_3-2-1_136097_2023-11-03_final.stac-item
2023-11-11 08:24:16	ga_ls9c_ard_3-2-1_080098_2023-11-10_final.stac-item
2023-11-16 10:08:54	ga_ls9c_ard_3-2-1_099066_2023-11-16_final.stac-item
2023-11-17 12:31:28	ga_ls9c_ard_3-2-1_122067_2023-11-17_final.stac-item
2023-12-18 10:09:04	ga_ls9c_ard_3-2-1_099066_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
2023-12-27 10:02:53	ga_ls9c_ard_3-2-1_098066_2023-12-27_final.stac-item
2023-12-29 08:24:24	ga_ls9c_ard_3-2-1_080098_2023-12-28_final.stac-item
2024-01-05 11:42:40	ga_ls9c_ard_3-2-1_113084_2024-01-05_final.stac-item
2024-01-06 14:10:00	ga_ls9c_ard_3-2-1_136097_2024-01-06_final.stac-item
2024-01-07 08:18:08	ga_ls9c_ard_3-2-1_079098_2024-01-06_final.stac-item
2024-01-23 08:18:07	ga_ls9c_ard_3-2-1_079098_2024-01-22_final.stac-item
2024-02-07 14:10:05	ga_ls9c_ard_3-2-1_136097_2024-02-07_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
2024-03-26 14:09:51	ga_ls9c_ard_3-2-1_136097_2024-03-26_final.stac-item
2024-03-27 08:10:46	ga_ls9c_ard_3-2-1_079080_2024-03-26_final.stac-item
2024-03-27 09:48:03	ga_ls9c_ard_3-2-1_095076_2024-03-27_final.stac-item
2024-03-27 09:48:51	ga_ls9c_ard_3-2-1_095078_2024-03-27_final.stac-item
2024-03-27 09:50:03	ga_ls9c_ard_3-2-1_095081_2024-03-27_final.stac-item
2024-03-27 09:50:27	ga_ls9c_ard_3-2-1_095082_2024-03-27_final.stac-item
2024-03-27 09:50:51	ga_ls9c_ard_3-2-1_095083_2024-03-27_final.stac-item
2024-03-27 11:24:56	ga_ls9c_ard_3-2-1_111071_2024-03-27_final.stac-item
2024-03-27 11:25:44	ga_ls9c_ard_3-2-1_111073_2024-03-27_final.stac-item
2024-03-27 11:26:08	ga_ls9c_ard_3-2-1_111074_2024-03-27_final.stac-item
2024-03-27 11:26:32	ga_ls9c_ard_3-2-1_111075_2024-03-27_final.stac-item
2024-03-28 10:28:06	ga_ls9c_ard_3-2-1_102068_2024-03-28_final.stac-item
2024-03-28 10:32:05	ga_ls9c_ard_3-2-1_102078_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
2024-03-28 10:33:41	ga_ls9c_ard_3-2-1_102082_2024-03-28_final.stac-item
2024-03-29 11:16:55	ga_ls9c_ard_3-2-1_109082_2024-03-29_final.stac-item
2024-03-29 11:17:19	ga_ls9c_ard_3-2-1_109083_2024-03-29_final.stac-item
2024-03-29 11:17:43	ga_ls9c_ard_3-2-1_109084_2024-03-29_final.stac-item
2024-03-30 10:19:19	ga_ls9c_ard_3-2-1_100077_2024-03-30_final.stac-item
2024-03-30 10:20:54	ga_ls9c_ard_3-2-1_100081_2024-03-30_final.stac-item
2024-03-30 10:21:42	ga_ls9c_ard_3-2-1_100083_2024-03-30_final.stac-item
2024-03-30 10:22:06	ga_ls9c_ard_3-2-1_100084_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 09:28:05	ga_ls9c_ard_3-2-1_091088_2024-03-30_final.stac-item
2024-03-31 09:28:53	ga_ls9c_ard_3-2-1_091090_2024-03-30_final.stac-item
2024-03-31 10:59:47	ga_ls9c_ard_3-2-1_107070_2024-03-31_final.stac-item
2024-03-31 11:00:11	ga_ls9c_ard_3-2-1_107071_2024-03-31_final.stac-item
2024-03-31 11:00:35	ga_ls9c_ard_3-2-1_107072_2024-03-31_final.stac-item
2024-03-31 11:02:10	ga_ls9c_ard_3-2-1_107076_2024-03-31_final.stac-item
2024-04-01 10:05:21	ga_ls9c_ard_3-2-1_098073_2024-04-01_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 10:06:57	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 10:08:57	ga_ls9c_ard_3-2-1_098082_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
2024-04-02 09:16:31	ga_ls9c_ard_3-2-1_089090_2024-04-01_final.stac-item
2024-04-02 10:50:13	ga_ls9c_ard_3-2-1_105077_2024-04-02_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 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 11:34:40	ga_ls9c_ard_3-2-1_112080_2024-04-03_final.stac-item
2024-04-03 11:35:04	ga_ls9c_ard_3-2-1_112081_2024-04-03_final.stac-item
2024-04-04 10:34:15	ga_ls9c_ard_3-2-1_103068_2024-04-04_final.stac-item
2024-04-04 10:35:03	ga_ls9c_ard_3-2-1_103070_2024-04-04_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 10:35:51	ga_ls9c_ard_3-2-1_103072_2024-04-04_final.stac-item
2024-04-04 10:36:15	ga_ls9c_ard_3-2-1_103073_2024-04-04_final.stac-item
2024-04-04 10:36:39	ga_ls9c_ard_3-2-1_103074_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 09:41:25	ga_ls9c_ard_3-2-1_094075_2024-04-05_final.stac-item
2024-04-05 09:41:49	ga_ls9c_ard_3-2-1_094076_2024-04-05_final.stac-item
2024-04-05 11:19:06	ga_ls9c_ard_3-2-1_110072_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
2024-04-06 10:25:52	ga_ls9c_ard_3-2-1_101078_2024-04-06_final.stac-item
2024-04-06 10:26:16	ga_ls9c_ard_3-2-1_101079_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
2024-04-07 11:08:44	ga_ls9c_ard_3-2-1_108077_2024-04-07_final.stac-item
2024-04-07 11:09:08	ga_ls9c_ard_3-2-1_108078_2024-04-07_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