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
2023-02-01 10:09:12	ga_ls9c_ard_3-2-1_099066_2023-02-01_final.stac-item
2023-02-02 12:31:45	ga_ls9c_ard_3-2-1_122067_2023-02-02_final.stac-item
2023-02-03 11:42:55	ga_ls9c_ard_3-2-1_113084_2023-02-03_final.stac-item
2023-02-04 14:10:16	ga_ls9c_ard_3-2-1_136097_2023-02-04_final.stac-item
2023-02-05 08:11:13	ga_ls9c_ard_3-2-1_079080_2023-02-04_final.stac-item
2023-02-05 08:18:24	ga_ls9c_ard_3-2-1_079098_2023-02-04_final.stac-item
2023-02-08 08:42:55	ga_ls9c_ard_3-2-1_084082_2023-02-07_final.stac-item
2023-02-08 11:57:54	ga_ls9c_ard_3-2-1_116075_2023-02-08_final.stac-item
2023-02-09 10:59:29	ga_ls9c_ard_3-2-1_107068_2023-02-09_interim.stac-item
2023-02-09 10:59:53	ga_ls9c_ard_3-2-1_107069_2023-02-09_interim.stac-item
2023-02-10 10:03:04	ga_ls9c_ard_3-2-1_098066_2023-02-10_final.stac-item
2023-02-11 09:16:13	ga_ls9c_ard_3-2-1_089088_2023-02-10_final.stac-item
2023-02-12 08:24:35	ga_ls9c_ard_3-2-1_080098_2023-02-11_final.stac-item
2023-02-13 14:04:05	ga_ls9c_ard_3-2-1_135097_2023-02-13_final.stac-item
2023-02-15 08:49:03	ga_ls9c_ard_3-2-1_085082_2023-02-14_final.stac-item
2023-02-17 10:09:10	ga_ls9c_ard_3-2-1_099066_2023-02-17_final.stac-item
2023-02-18 09:23:30	ga_ls9c_ard_3-2-1_090091_2023-02-17_interim.stac-item
2023-02-18 10:52:48	ga_ls9c_ard_3-2-1_106067_2023-02-18_interim.stac-item
2023-02-18 12:31:41	ga_ls9c_ard_3-2-1_122067_2023-02-18_final.stac-item
2023-02-19 11:42:49	ga_ls9c_ard_3-2-1_113084_2023-02-19_final.stac-item
2023-02-20 14:10:08	ga_ls9c_ard_3-2-1_136097_2023-02-20_final.stac-item
2023-02-21 08:11:03	ga_ls9c_ard_3-2-1_079080_2023-02-20_final.stac-item
2023-02-21 08:18:14	ga_ls9c_ard_3-2-1_079098_2023-02-20_final.stac-item
2023-02-24 08:42:41	ga_ls9c_ard_3-2-1_084082_2023-02-23_final.stac-item
2023-02-24 11:57:39	ga_ls9c_ard_3-2-1_116075_2023-02-24_final.stac-item
2023-02-25 10:59:14	ga_ls9c_ard_3-2-1_107068_2023-02-25_interim.stac-item
2023-02-25 10:59:38	ga_ls9c_ard_3-2-1_107069_2023-02-25_final.stac-item
2023-02-25 12:37:43	ga_ls9c_ard_3-2-1_123067_2023-02-25_final.stac-item
2023-02-26 10:02:49	ga_ls9c_ard_3-2-1_098066_2023-02-26_final.stac-item
2023-02-27 09:15:59	ga_ls9c_ard_3-2-1_089088_2023-02-26_final.stac-item
2023-03-01 14:03:51	ga_ls9c_ard_3-2-1_135097_2023-03-01_final.stac-item
2023-03-03 08:48:50	ga_ls9c_ard_3-2-1_085082_2023-03-02_final.stac-item
2023-03-05 10:08:57	ga_ls9c_ard_3-2-1_099066_2023-03-05_final.stac-item
2023-03-06 10:52:36	ga_ls9c_ard_3-2-1_106067_2023-03-06_interim.stac-item
2023-03-06 12:31:29	ga_ls9c_ard_3-2-1_122067_2023-03-06_final.stac-item
2023-03-07 11:42:37	ga_ls9c_ard_3-2-1_113084_2023-03-07_final.stac-item
2023-03-08 14:09:56	ga_ls9c_ard_3-2-1_136097_2023-03-08_final.stac-item
2023-03-09 08:10:51	ga_ls9c_ard_3-2-1_079080_2023-03-08_final.stac-item
2023-03-09 08:18:03	ga_ls9c_ard_3-2-1_079098_2023-03-08_final.stac-item
2023-03-12 08:42:33	ga_ls9c_ard_3-2-1_084082_2023-03-11_final.stac-item
2023-03-12 11:57:32	ga_ls9c_ard_3-2-1_116075_2023-03-12_final.stac-item
2023-03-13 12:37:36	ga_ls9c_ard_3-2-1_123067_2023-03-13_final.stac-item
2024-03-12 10:28:38	ga_ls9c_ard_3-2-1_102069_2024-03-12_final.stac-item
2024-03-12 10:31:50	ga_ls9c_ard_3-2-1_102077_2024-03-12_final.stac-item
2024-03-12 10:33:49	ga_ls9c_ard_3-2-1_102082_2024-03-12_final.stac-item
2024-03-13 09:33:48	ga_ls9c_ard_3-2-1_093071_2024-03-13_final.stac-item
2024-03-13 09:35:00	ga_ls9c_ard_3-2-1_093074_2024-03-13_final.stac-item
2024-03-13 09:38:36	ga_ls9c_ard_3-2-1_093083_2024-03-13_final.stac-item
2024-03-13 09:39:00	ga_ls9c_ard_3-2-1_093084_2024-03-13_final.stac-item
2024-03-13 11:14:41	ga_ls9c_ard_3-2-1_109076_2024-03-13_final.stac-item
2024-03-13 11:15:53	ga_ls9c_ard_3-2-1_109079_2024-03-13_final.stac-item
2024-03-15 09:22:14	ga_ls9c_ard_3-2-1_091073_2024-03-14_final.stac-item
2024-03-17 10:46:22	ga_ls9c_ard_3-2-1_105067_2024-03-17_final.stac-item
2024-03-17 10:50:45	ga_ls9c_ard_3-2-1_105078_2024-03-17_final.stac-item
2024-03-18 09:55:56	ga_ls9c_ard_3-2-1_096080_2024-03-18_final.stac-item
2024-03-18 09:56:20	ga_ls9c_ard_3-2-1_096081_2024-03-18_final.stac-item
2024-03-18 11:32:49	ga_ls9c_ard_3-2-1_112075_2024-03-18_final.stac-item
2024-03-18 11:34:25	ga_ls9c_ard_3-2-1_112079_2024-03-18_final.stac-item
2024-03-18 11:36:01	ga_ls9c_ard_3-2-1_112083_2024-03-18_final.stac-item
2024-03-18 11:36:25	ga_ls9c_ard_3-2-1_112084_2024-03-18_final.stac-item
2024-03-19 10:36:48	ga_ls9c_ard_3-2-1_103074_2024-03-19_final.stac-item
2024-03-19 10:37:12	ga_ls9c_ard_3-2-1_103075_2024-03-19_final.stac-item
2024-03-19 10:38:00	ga_ls9c_ard_3-2-1_103077_2024-03-19_final.stac-item
2024-03-19 10:39:11	ga_ls9c_ard_3-2-1_103080_2024-03-19_final.stac-item
2024-03-20 09:45:57	ga_ls9c_ard_3-2-1_094086_2024-03-20_final.stac-item
2024-03-20 11:22:27	ga_ls9c_ard_3-2-1_110080_2024-03-20_final.stac-item
2024-03-20 11:22:51	ga_ls9c_ard_3-2-1_110081_2024-03-20_final.stac-item
2024-03-20 11:23:15	ga_ls9c_ard_3-2-1_110082_2024-03-20_final.stac-item
2024-03-21 10:26:25	ga_ls9c_ard_3-2-1_101079_2024-03-21_final.stac-item
2024-03-22 11:09:16	ga_ls9c_ard_3-2-1_108078_2024-03-22_final.stac-item
2024-03-23 10:13:38	ga_ls9c_ard_3-2-1_099078_2024-03-23_final.stac-item
2024-03-23 10:14:50	ga_ls9c_ard_3-2-1_099081_2024-03-23_final.stac-item
2024-03-24 09:21:12	ga_ls9c_ard_3-2-1_090086_2024-03-23_final.stac-item
2024-04-08 10:08:43	ga_ls9c_ard_3-2-1_099066_2024-04-08_final.stac-item
2024-04-08 10:09:07	ga_ls9c_ard_3-2-1_099067_2024-04-08_final.stac-item
2024-04-08 10:10:42	ga_ls9c_ard_3-2-1_099071_2024-04-08_final.stac-item
2024-04-08 10:11:06	ga_ls9c_ard_3-2-1_099072_2024-04-08_final.stac-item
2024-04-08 10:12:42	ga_ls9c_ard_3-2-1_099076_2024-04-08_final.stac-item
2024-04-08 10:13:30	ga_ls9c_ard_3-2-1_099078_2024-04-08_final.stac-item
2024-04-08 10:13:54	ga_ls9c_ard_3-2-1_099079_2024-04-08_final.stac-item
2024-04-08 10:14:18	ga_ls9c_ard_3-2-1_099080_2024-04-08_final.stac-item
2024-04-08 10:14:42	ga_ls9c_ard_3-2-1_099081_2024-04-08_final.stac-item
2024-04-08 10:16:17	ga_ls9c_ard_3-2-1_099085_2024-04-08_final.stac-item
2024-04-08 11:50:47	ga_ls9c_ard_3-2-1_115074_2024-04-08_final.stac-item
2024-04-08 11:51:11	ga_ls9c_ard_3-2-1_115075_2024-04-08_final.stac-item
2024-04-08 11:51:59	ga_ls9c_ard_3-2-1_115077_2024-04-08_final.stac-item
2024-04-08 11:52:23	ga_ls9c_ard_3-2-1_115078_2024-04-08_final.stac-item
2024-04-08 11:53:11	ga_ls9c_ard_3-2-1_115080_2024-04-08_final.stac-item
2024-04-09 09:16:16	ga_ls9c_ard_3-2-1_090074_2024-04-08_final.stac-item
2024-04-09 09:16:40	ga_ls9c_ard_3-2-1_090075_2024-04-08_final.stac-item
2024-04-09 09:17:04	ga_ls9c_ard_3-2-1_090076_2024-04-08_final.stac-item
2024-04-09 09:17:28	ga_ls9c_ard_3-2-1_090077_2024-04-08_final.stac-item
2024-04-09 09:18:16	ga_ls9c_ard_3-2-1_090079_2024-04-08_final.stac-item
2024-04-09 09:18:40	ga_ls9c_ard_3-2-1_090080_2024-04-08_final.stac-item
2024-04-09 09:19:52	ga_ls9c_ard_3-2-1_090083_2024-04-08_final.stac-item
2024-04-09 09:20:16	ga_ls9c_ard_3-2-1_090084_2024-04-08_final.stac-item
2024-04-09 09:20:40	ga_ls9c_ard_3-2-1_090085_2024-04-08_final.stac-item
2024-04-09 09:21:04	ga_ls9c_ard_3-2-1_090086_2024-04-08_final.stac-item
2024-04-09 09:21:28	ga_ls9c_ard_3-2-1_090087_2024-04-08_final.stac-item
2024-04-09 09:22:39	ga_ls9c_ard_3-2-1_090090_2024-04-08_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