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
2024-02-29 10:03:06	ga_ls9c_ard_3-2-1_098067_2024-02-29_final.stac-item
2024-02-29 10:03:30	ga_ls9c_ard_3-2-1_098068_2024-02-29_final.stac-item
2024-02-29 10:03:54	ga_ls9c_ard_3-2-1_098069_2024-02-29_final.stac-item
2024-02-29 10:04:18	ga_ls9c_ard_3-2-1_098070_2024-02-29_final.stac-item
2024-02-29 10:04:42	ga_ls9c_ard_3-2-1_098071_2024-02-29_final.stac-item
2024-02-29 10:05:05	ga_ls9c_ard_3-2-1_098072_2024-02-29_final.stac-item
2024-02-29 10:05:29	ga_ls9c_ard_3-2-1_098073_2024-02-29_final.stac-item
2024-02-29 10:05:53	ga_ls9c_ard_3-2-1_098074_2024-02-29_final.stac-item
2024-02-29 10:06:17	ga_ls9c_ard_3-2-1_098075_2024-02-29_final.stac-item
2024-02-29 10:06:41	ga_ls9c_ard_3-2-1_098076_2024-02-29_final.stac-item
2024-02-29 10:07:05	ga_ls9c_ard_3-2-1_098077_2024-02-29_final.stac-item
2024-02-29 10:07:29	ga_ls9c_ard_3-2-1_098078_2024-02-29_final.stac-item
2024-02-29 10:07:53	ga_ls9c_ard_3-2-1_098079_2024-02-29_final.stac-item
2024-02-29 10:08:17	ga_ls9c_ard_3-2-1_098080_2024-02-29_final.stac-item
2024-02-29 10:08:41	ga_ls9c_ard_3-2-1_098081_2024-02-29_final.stac-item
2024-02-29 10:09:05	ga_ls9c_ard_3-2-1_098082_2024-02-29_final.stac-item
2024-02-29 11:44:46	ga_ls9c_ard_3-2-1_114074_2024-02-29_final.stac-item
2024-02-29 11:45:10	ga_ls9c_ard_3-2-1_114075_2024-02-29_final.stac-item
2024-02-29 11:45:34	ga_ls9c_ard_3-2-1_114076_2024-02-29_final.stac-item
2024-02-29 11:45:58	ga_ls9c_ard_3-2-1_114077_2024-02-29_final.stac-item
2024-02-29 11:46:22	ga_ls9c_ard_3-2-1_114078_2024-02-29_final.stac-item
2024-02-29 11:46:46	ga_ls9c_ard_3-2-1_114079_2024-02-29_final.stac-item
2024-02-29 11:47:10	ga_ls9c_ard_3-2-1_114080_2024-02-29_final.stac-item
2024-02-29 11:47:34	ga_ls9c_ard_3-2-1_114081_2024-02-29_final.stac-item
2024-03-01 09:10:17	ga_ls9c_ard_3-2-1_089074_2024-02-29_final.stac-item
2024-03-01 09:10:41	ga_ls9c_ard_3-2-1_089075_2024-02-29_final.stac-item
2024-03-01 09:11:04	ga_ls9c_ard_3-2-1_089076_2024-02-29_final.stac-item
2024-03-01 09:11:28	ga_ls9c_ard_3-2-1_089077_2024-02-29_final.stac-item
2024-03-01 09:11:52	ga_ls9c_ard_3-2-1_089078_2024-02-29_final.stac-item
2024-03-01 09:12:16	ga_ls9c_ard_3-2-1_089079_2024-02-29_final.stac-item
2024-03-01 09:12:40	ga_ls9c_ard_3-2-1_089080_2024-02-29_final.stac-item
2024-03-01 09:15:04	ga_ls9c_ard_3-2-1_089086_2024-02-29_final.stac-item
2024-03-01 10:51:09	ga_ls9c_ard_3-2-1_105079_2024-03-01_final.stac-item
2024-03-01 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-01_final.stac-item
2024-03-01 10:51:57	ga_ls9c_ard_3-2-1_105081_2024-03-01_final.stac-item
2024-03-01 10:52:21	ga_ls9c_ard_3-2-1_105082_2024-03-01_final.stac-item
2024-03-01 10:52:45	ga_ls9c_ard_3-2-1_105083_2024-03-01_final.stac-item
2024-03-02 09:53:09	ga_ls9c_ard_3-2-1_096073_2024-03-02_final.stac-item
2024-03-02 09:53:33	ga_ls9c_ard_3-2-1_096074_2024-03-02_final.stac-item
2024-03-02 09:53:57	ga_ls9c_ard_3-2-1_096075_2024-03-02_final.stac-item
2024-03-02 09:54:21	ga_ls9c_ard_3-2-1_096076_2024-03-02_final.stac-item
2024-03-02 09:54:45	ga_ls9c_ard_3-2-1_096077_2024-03-02_final.stac-item
2024-03-02 09:55:09	ga_ls9c_ard_3-2-1_096078_2024-03-02_final.stac-item
2024-03-02 09:55:33	ga_ls9c_ard_3-2-1_096079_2024-03-02_final.stac-item
2024-03-02 09:55:56	ga_ls9c_ard_3-2-1_096080_2024-03-02_final.stac-item
2024-03-02 09:56:20	ga_ls9c_ard_3-2-1_096081_2024-03-02_final.stac-item
2024-03-02 09:57:32	ga_ls9c_ard_3-2-1_096084_2024-03-02_final.stac-item
2024-03-02 09:57:56	ga_ls9c_ard_3-2-1_096085_2024-03-02_final.stac-item
2024-03-02 09:58:20	ga_ls9c_ard_3-2-1_096086_2024-03-02_final.stac-item
2024-03-02 11:31:38	ga_ls9c_ard_3-2-1_112072_2024-03-02_final.stac-item
2024-03-02 11:32:50	ga_ls9c_ard_3-2-1_112075_2024-03-02_final.stac-item
2024-03-02 11:33:14	ga_ls9c_ard_3-2-1_112076_2024-03-02_final.stac-item
2024-03-02 11:33:38	ga_ls9c_ard_3-2-1_112077_2024-03-02_final.stac-item
2024-03-02 11:34:02	ga_ls9c_ard_3-2-1_112078_2024-03-02_final.stac-item
2024-03-02 11:34:26	ga_ls9c_ard_3-2-1_112079_2024-03-02_final.stac-item
2024-03-02 11:34:50	ga_ls9c_ard_3-2-1_112080_2024-03-02_final.stac-item
2024-03-02 11:35:13	ga_ls9c_ard_3-2-1_112081_2024-03-02_final.stac-item
2024-03-02 11:35:37	ga_ls9c_ard_3-2-1_112082_2024-03-02_final.stac-item
2024-03-02 11:36:01	ga_ls9c_ard_3-2-1_112083_2024-03-02_final.stac-item
2024-03-02 11:36:25	ga_ls9c_ard_3-2-1_112084_2024-03-02_final.stac-item
2024-03-03 10:37:37	ga_ls9c_ard_3-2-1_103076_2024-03-03_final.stac-item
2024-03-03 10:38:01	ga_ls9c_ard_3-2-1_103077_2024-03-03_final.stac-item
2024-03-03 10:38:25	ga_ls9c_ard_3-2-1_103078_2024-03-03_final.stac-item
2024-03-03 10:38:49	ga_ls9c_ard_3-2-1_103079_2024-03-03_final.stac-item
2024-03-03 10:39:13	ga_ls9c_ard_3-2-1_103080_2024-03-03_final.stac-item
2024-03-03 10:39:37	ga_ls9c_ard_3-2-1_103081_2024-03-03_final.stac-item
2024-03-03 10:40:00	ga_ls9c_ard_3-2-1_103082_2024-03-03_final.stac-item
2024-03-04 09:40:00	ga_ls9c_ard_3-2-1_094071_2024-03-04_final.stac-item
2024-03-04 09:40:24	ga_ls9c_ard_3-2-1_094072_2024-03-04_final.stac-item
2024-03-04 09:40:48	ga_ls9c_ard_3-2-1_094073_2024-03-04_final.stac-item
2024-03-04 09:41:12	ga_ls9c_ard_3-2-1_094074_2024-03-04_final.stac-item
2024-03-04 09:41:36	ga_ls9c_ard_3-2-1_094075_2024-03-04_final.stac-item
2024-03-04 09:42:00	ga_ls9c_ard_3-2-1_094076_2024-03-04_final.stac-item
2024-03-04 09:42:24	ga_ls9c_ard_3-2-1_094077_2024-03-04_final.stac-item
2024-03-04 09:42:48	ga_ls9c_ard_3-2-1_094078_2024-03-04_final.stac-item
2024-03-04 09:43:12	ga_ls9c_ard_3-2-1_094079_2024-03-04_final.stac-item
2024-03-04 09:43:36	ga_ls9c_ard_3-2-1_094080_2024-03-04_final.stac-item
2024-03-04 09:44:00	ga_ls9c_ard_3-2-1_094081_2024-03-04_final.stac-item
2024-03-04 09:44:23	ga_ls9c_ard_3-2-1_094082_2024-03-04_final.stac-item
2024-03-04 09:44:47	ga_ls9c_ard_3-2-1_094083_2024-03-04_final.stac-item
2024-03-04 09:45:11	ga_ls9c_ard_3-2-1_094084_2024-03-04_final.stac-item
2024-03-04 09:45:35	ga_ls9c_ard_3-2-1_094085_2024-03-04_final.stac-item
2024-03-04 09:45:59	ga_ls9c_ard_3-2-1_094086_2024-03-04_final.stac-item
2024-03-04 09:46:23	ga_ls9c_ard_3-2-1_094087_2024-03-04_final.stac-item
2024-03-04 11:18:05	ga_ls9c_ard_3-2-1_110069_2024-03-04_final.stac-item
2024-03-04 11:18:29	ga_ls9c_ard_3-2-1_110070_2024-03-04_final.stac-item
2024-03-04 11:18:53	ga_ls9c_ard_3-2-1_110071_2024-03-04_final.stac-item
2024-03-04 11:19:17	ga_ls9c_ard_3-2-1_110072_2024-03-04_final.stac-item
2024-03-04 11:19:41	ga_ls9c_ard_3-2-1_110073_2024-03-04_final.stac-item
2024-03-04 11:20:05	ga_ls9c_ard_3-2-1_110074_2024-03-04_final.stac-item
2024-03-04 11:20:29	ga_ls9c_ard_3-2-1_110075_2024-03-04_final.stac-item
2024-03-04 11:20:53	ga_ls9c_ard_3-2-1_110076_2024-03-04_final.stac-item
2024-03-04 11:21:17	ga_ls9c_ard_3-2-1_110077_2024-03-04_final.stac-item
2024-03-04 11:21:41	ga_ls9c_ard_3-2-1_110078_2024-03-04_final.stac-item
2024-03-04 11:22:05	ga_ls9c_ard_3-2-1_110079_2024-03-04_final.stac-item
2024-03-04 11:22:29	ga_ls9c_ard_3-2-1_110080_2024-03-04_final.stac-item
2024-03-04 11:22:53	ga_ls9c_ard_3-2-1_110081_2024-03-04_final.stac-item
2024-03-04 11:23:17	ga_ls9c_ard_3-2-1_110082_2024-03-04_final.stac-item
2024-03-04 11:23:41	ga_ls9c_ard_3-2-1_110083_2024-03-04_final.stac-item
2024-03-04 11:24:04	ga_ls9c_ard_3-2-1_110084_2024-03-04_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