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
2023-03-12 10:17:51	ga_ls9c_ard_3-2-1_100073_2023-03-12_final.stac-item
2023-03-12 10:18:15	ga_ls9c_ard_3-2-1_100074_2023-03-12_final.stac-item
2023-03-12 10:19:03	ga_ls9c_ard_3-2-1_100076_2023-03-12_final.stac-item
2023-03-12 10:19:51	ga_ls9c_ard_3-2-1_100078_2023-03-12_final.stac-item
2023-03-12 10:20:38	ga_ls9c_ard_3-2-1_100080_2023-03-12_final.stac-item
2023-03-12 10:21:02	ga_ls9c_ard_3-2-1_100081_2023-03-12_final.stac-item
2023-03-12 10:21:26	ga_ls9c_ard_3-2-1_100082_2023-03-12_final.stac-item
2023-03-12 10:21:50	ga_ls9c_ard_3-2-1_100083_2023-03-12_final.stac-item
2023-03-12 10:22:14	ga_ls9c_ard_3-2-1_100084_2023-03-12_final.stac-item
2023-03-12 11:57:56	ga_ls9c_ard_3-2-1_116076_2023-03-12_final.stac-item
2023-03-12 11:58:20	ga_ls9c_ard_3-2-1_116077_2023-03-12_final.stac-item
2023-03-12 11:58:44	ga_ls9c_ard_3-2-1_116078_2023-03-12_final.stac-item
2023-03-13 09:21:50	ga_ls9c_ard_3-2-1_091072_2023-03-12_final.stac-item
2023-03-13 09:22:14	ga_ls9c_ard_3-2-1_091073_2023-03-12_final.stac-item
2023-03-13 09:22:38	ga_ls9c_ard_3-2-1_091074_2023-03-12_final.stac-item
2023-03-13 09:23:26	ga_ls9c_ard_3-2-1_091076_2023-03-12_final.stac-item
2023-03-13 09:23:50	ga_ls9c_ard_3-2-1_091077_2023-03-12_final.stac-item
2023-03-13 09:24:14	ga_ls9c_ard_3-2-1_091078_2023-03-12_final.stac-item
2023-03-13 09:25:01	ga_ls9c_ard_3-2-1_091080_2023-03-12_final.stac-item
2023-03-13 09:25:25	ga_ls9c_ard_3-2-1_091081_2023-03-12_final.stac-item
2023-03-13 09:26:13	ga_ls9c_ard_3-2-1_091083_2023-03-12_final.stac-item
2023-03-13 09:27:25	ga_ls9c_ard_3-2-1_091086_2023-03-12_final.stac-item
2023-03-13 09:27:49	ga_ls9c_ard_3-2-1_091087_2023-03-12_final.stac-item
2023-03-13 09:28:37	ga_ls9c_ard_3-2-1_091089_2023-03-12_final.stac-item
2023-03-13 09:29:01	ga_ls9c_ard_3-2-1_091090_2023-03-12_final.stac-item
2023-03-13 10:59:55	ga_ls9c_ard_3-2-1_107070_2023-03-13_final.stac-item
2023-03-13 11:00:19	ga_ls9c_ard_3-2-1_107071_2023-03-13_final.stac-item
2023-03-13 11:00:43	ga_ls9c_ard_3-2-1_107072_2023-03-13_final.stac-item
2023-03-13 11:02:43	ga_ls9c_ard_3-2-1_107077_2023-03-13_final.stac-item
2023-03-13 11:03:30	ga_ls9c_ard_3-2-1_107079_2023-03-13_final.stac-item
2023-03-13 11:04:18	ga_ls9c_ard_3-2-1_107081_2023-03-13_final.stac-item
2023-03-13 11:04:42	ga_ls9c_ard_3-2-1_107082_2023-03-13_final.stac-item
2023-03-13 11:05:30	ga_ls9c_ard_3-2-1_107084_2023-03-13_final.stac-item
2023-03-14 10:04:18	ga_ls9c_ard_3-2-1_098070_2023-03-14_final.stac-item
2023-03-14 10:05:30	ga_ls9c_ard_3-2-1_098073_2023-03-14_final.stac-item
2023-03-14 10:05:54	ga_ls9c_ard_3-2-1_098074_2023-03-14_final.stac-item
2023-03-14 10:06:18	ga_ls9c_ard_3-2-1_098075_2023-03-14_final.stac-item
2023-03-14 10:06:41	ga_ls9c_ard_3-2-1_098076_2023-03-14_final.stac-item
2023-03-14 10:07:29	ga_ls9c_ard_3-2-1_098078_2023-03-14_final.stac-item
2023-03-14 10:07:53	ga_ls9c_ard_3-2-1_098079_2023-03-14_final.stac-item
2023-03-14 10:08:17	ga_ls9c_ard_3-2-1_098080_2023-03-14_final.stac-item
2023-03-14 10:08:41	ga_ls9c_ard_3-2-1_098081_2023-03-14_final.stac-item
2023-03-14 10:09:05	ga_ls9c_ard_3-2-1_098082_2023-03-14_final.stac-item
2023-03-14 10:09:29	ga_ls9c_ard_3-2-1_098083_2023-03-14_final.stac-item
2023-03-14 10:09:53	ga_ls9c_ard_3-2-1_098084_2023-03-14_final.stac-item
2023-03-14 10:10:17	ga_ls9c_ard_3-2-1_098085_2023-03-14_final.stac-item
2023-03-14 11:45:35	ga_ls9c_ard_3-2-1_114076_2023-03-14_final.stac-item
2023-03-14 11:45:58	ga_ls9c_ard_3-2-1_114077_2023-03-14_final.stac-item
2023-03-14 11:46:46	ga_ls9c_ard_3-2-1_114079_2023-03-14_final.stac-item
2023-03-14 11:47:10	ga_ls9c_ard_3-2-1_114080_2023-03-14_final.stac-item
2023-03-15 09:11:28	ga_ls9c_ard_3-2-1_089077_2023-03-14_final.stac-item
2023-03-15 09:12:16	ga_ls9c_ard_3-2-1_089079_2023-03-14_final.stac-item
2023-03-15 09:13:04	ga_ls9c_ard_3-2-1_089081_2023-03-14_final.stac-item
2023-03-15 09:13:28	ga_ls9c_ard_3-2-1_089082_2023-03-14_final.stac-item
2023-03-15 09:13:52	ga_ls9c_ard_3-2-1_089083_2023-03-14_final.stac-item
2023-03-15 09:14:16	ga_ls9c_ard_3-2-1_089084_2023-03-14_final.stac-item
2023-03-15 09:15:04	ga_ls9c_ard_3-2-1_089086_2023-03-14_final.stac-item
2023-03-15 09:16:40	ga_ls9c_ard_3-2-1_089090_2023-03-14_final.stac-item
2023-03-15 10:46:22	ga_ls9c_ard_3-2-1_105067_2023-03-15_final.stac-item
2023-03-15 10:46:46	ga_ls9c_ard_3-2-1_105068_2023-03-15_final.stac-item
2023-03-15 10:47:10	ga_ls9c_ard_3-2-1_105069_2023-03-15_final.stac-item
2023-03-15 10:48:21	ga_ls9c_ard_3-2-1_105072_2023-03-15_final.stac-item
2023-03-15 10:49:33	ga_ls9c_ard_3-2-1_105075_2023-03-15_final.stac-item
2023-03-15 10:49:57	ga_ls9c_ard_3-2-1_105076_2023-03-15_final.stac-item
2023-03-15 10:50:21	ga_ls9c_ard_3-2-1_105077_2023-03-15_final.stac-item
2023-03-15 10:51:09	ga_ls9c_ard_3-2-1_105079_2023-03-15_final.stac-item
2023-03-15 10:52:21	ga_ls9c_ard_3-2-1_105082_2023-03-15_final.stac-item
2023-03-15 10:52:45	ga_ls9c_ard_3-2-1_105083_2023-03-15_final.stac-item
2023-03-16 09:51:56	ga_ls9c_ard_3-2-1_096070_2023-03-16_final.stac-item
2023-03-16 09:52:20	ga_ls9c_ard_3-2-1_096071_2023-03-16_final.stac-item
2023-03-16 09:52:44	ga_ls9c_ard_3-2-1_096072_2023-03-16_final.stac-item
2023-03-16 09:53:08	ga_ls9c_ard_3-2-1_096073_2023-03-16_final.stac-item
2023-03-16 09:53:32	ga_ls9c_ard_3-2-1_096074_2023-03-16_final.stac-item
2023-03-16 09:54:20	ga_ls9c_ard_3-2-1_096076_2023-03-16_final.stac-item
2023-03-16 09:54:44	ga_ls9c_ard_3-2-1_096077_2023-03-16_final.stac-item
2023-03-16 09:55:08	ga_ls9c_ard_3-2-1_096078_2023-03-16_final.stac-item
2023-03-16 09:55:56	ga_ls9c_ard_3-2-1_096080_2023-03-16_final.stac-item
2023-03-16 09:56:19	ga_ls9c_ard_3-2-1_096081_2023-03-16_final.stac-item
2023-03-16 09:56:43	ga_ls9c_ard_3-2-1_096082_2023-03-16_final.stac-item
2023-03-16 09:57:07	ga_ls9c_ard_3-2-1_096083_2023-03-16_final.stac-item
2023-03-16 09:58:19	ga_ls9c_ard_3-2-1_096086_2023-03-16_final.stac-item
2023-03-16 11:31:37	ga_ls9c_ard_3-2-1_112072_2023-03-16_final.stac-item
2023-03-16 11:32:01	ga_ls9c_ard_3-2-1_112073_2023-03-16_final.stac-item
2023-03-16 11:32:25	ga_ls9c_ard_3-2-1_112074_2023-03-16_final.stac-item
2023-03-16 11:32:49	ga_ls9c_ard_3-2-1_112075_2023-03-16_final.stac-item
2023-03-16 11:34:01	ga_ls9c_ard_3-2-1_112078_2023-03-16_final.stac-item
2023-03-16 11:34:25	ga_ls9c_ard_3-2-1_112079_2023-03-16_final.stac-item
2023-03-16 11:34:49	ga_ls9c_ard_3-2-1_112080_2023-03-16_final.stac-item
2023-03-16 11:35:36	ga_ls9c_ard_3-2-1_112082_2023-03-16_final.stac-item
2023-03-16 11:36:00	ga_ls9c_ard_3-2-1_112083_2023-03-16_final.stac-item
2023-03-16 11:36:24	ga_ls9c_ard_3-2-1_112084_2023-03-16_final.stac-item
2023-03-17 10:34:24	ga_ls9c_ard_3-2-1_103068_2023-03-17_final.stac-item
2023-03-17 10:35:12	ga_ls9c_ard_3-2-1_103070_2023-03-17_final.stac-item
2023-03-17 10:36:47	ga_ls9c_ard_3-2-1_103074_2023-03-17_final.stac-item
2023-03-17 10:37:11	ga_ls9c_ard_3-2-1_103075_2023-03-17_final.stac-item
2023-03-17 10:37:35	ga_ls9c_ard_3-2-1_103076_2023-03-17_final.stac-item
2023-03-17 10:37:59	ga_ls9c_ard_3-2-1_103077_2023-03-17_final.stac-item
2023-03-17 10:38:23	ga_ls9c_ard_3-2-1_103078_2023-03-17_final.stac-item
2023-03-17 10:38:47	ga_ls9c_ard_3-2-1_103079_2023-03-17_final.stac-item
2023-03-17 10:39:11	ga_ls9c_ard_3-2-1_103080_2023-03-17_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