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

71 results

Time (local)	Label
2024-02-13 10:03:14	ga_ls9c_ard_3-2-1_098067_2024-02-13_final.stac-item
2024-02-13 10:04:49	ga_ls9c_ard_3-2-1_098071_2024-02-13_final.stac-item
2024-02-13 10:05:13	ga_ls9c_ard_3-2-1_098072_2024-02-13_final.stac-item
2024-02-13 10:05:37	ga_ls9c_ard_3-2-1_098073_2024-02-13_final.stac-item
2024-02-13 10:06:01	ga_ls9c_ard_3-2-1_098074_2024-02-13_final.stac-item
2024-02-13 10:06:25	ga_ls9c_ard_3-2-1_098075_2024-02-13_final.stac-item
2024-02-13 10:06:49	ga_ls9c_ard_3-2-1_098076_2024-02-13_final.stac-item
2024-02-13 10:07:37	ga_ls9c_ard_3-2-1_098078_2024-02-13_final.stac-item
2024-02-13 10:08:01	ga_ls9c_ard_3-2-1_098079_2024-02-13_final.stac-item
2024-02-13 10:08:25	ga_ls9c_ard_3-2-1_098080_2024-02-13_final.stac-item
2024-02-13 10:08:49	ga_ls9c_ard_3-2-1_098081_2024-02-13_final.stac-item
2024-02-13 10:09:13	ga_ls9c_ard_3-2-1_098082_2024-02-13_final.stac-item
2024-02-13 10:09:37	ga_ls9c_ard_3-2-1_098083_2024-02-13_final.stac-item
2024-02-13 10:10:00	ga_ls9c_ard_3-2-1_098084_2024-02-13_final.stac-item
2024-02-13 11:44:54	ga_ls9c_ard_3-2-1_114074_2024-02-13_final.stac-item
2024-02-13 11:45:18	ga_ls9c_ard_3-2-1_114075_2024-02-13_final.stac-item
2024-02-13 11:45:42	ga_ls9c_ard_3-2-1_114076_2024-02-13_final.stac-item
2024-02-13 11:46:06	ga_ls9c_ard_3-2-1_114077_2024-02-13_final.stac-item
2024-02-13 11:46:30	ga_ls9c_ard_3-2-1_114078_2024-02-13_final.stac-item
2024-02-13 11:47:18	ga_ls9c_ard_3-2-1_114080_2024-02-13_final.stac-item
2024-02-13 11:47:42	ga_ls9c_ard_3-2-1_114081_2024-02-13_final.stac-item
2024-02-14 09:10:23	ga_ls9c_ard_3-2-1_089074_2024-02-13_final.stac-item
2024-02-14 09:10:47	ga_ls9c_ard_3-2-1_089075_2024-02-13_final.stac-item
2024-02-14 09:11:11	ga_ls9c_ard_3-2-1_089076_2024-02-13_final.stac-item
2024-02-14 09:11:35	ga_ls9c_ard_3-2-1_089077_2024-02-13_final.stac-item
2024-02-14 09:11:59	ga_ls9c_ard_3-2-1_089078_2024-02-13_final.stac-item
2024-02-14 09:12:23	ga_ls9c_ard_3-2-1_089079_2024-02-13_final.stac-item
2024-02-14 09:12:47	ga_ls9c_ard_3-2-1_089080_2024-02-13_final.stac-item
2024-02-14 09:13:11	ga_ls9c_ard_3-2-1_089081_2024-02-13_final.stac-item
2024-02-14 09:13:35	ga_ls9c_ard_3-2-1_089082_2024-02-13_final.stac-item
2024-02-14 09:14:22	ga_ls9c_ard_3-2-1_089084_2024-02-13_final.stac-item
2024-02-14 09:14:46	ga_ls9c_ard_3-2-1_089085_2024-02-13_final.stac-item
2024-02-14 09:15:10	ga_ls9c_ard_3-2-1_089086_2024-02-13_final.stac-item
2024-02-14 09:16:22	ga_ls9c_ard_3-2-1_089089_2024-02-13_final.stac-item
2024-02-14 09:16:46	ga_ls9c_ard_3-2-1_089090_2024-02-13_final.stac-item
2024-02-14 10:46:52	ga_ls9c_ard_3-2-1_105068_2024-02-14_final.stac-item
2024-02-14 10:47:16	ga_ls9c_ard_3-2-1_105069_2024-02-14_final.stac-item
2024-02-14 10:47:40	ga_ls9c_ard_3-2-1_105070_2024-02-14_final.stac-item
2024-02-14 10:48:04	ga_ls9c_ard_3-2-1_105071_2024-02-14_final.stac-item
2024-02-14 10:48:28	ga_ls9c_ard_3-2-1_105072_2024-02-14_final.stac-item
2024-02-14 10:49:16	ga_ls9c_ard_3-2-1_105074_2024-02-14_final.stac-item
2024-02-14 10:49:40	ga_ls9c_ard_3-2-1_105075_2024-02-14_final.stac-item
2024-02-14 10:50:52	ga_ls9c_ard_3-2-1_105078_2024-02-14_final.stac-item
2024-02-14 10:51:16	ga_ls9c_ard_3-2-1_105079_2024-02-14_final.stac-item
2024-02-14 10:51:40	ga_ls9c_ard_3-2-1_105080_2024-02-14_final.stac-item
2024-02-14 10:52:04	ga_ls9c_ard_3-2-1_105081_2024-02-14_final.stac-item
2024-02-15 09:52:02	ga_ls9c_ard_3-2-1_096070_2024-02-15_final.stac-item
2024-02-15 09:52:26	ga_ls9c_ard_3-2-1_096071_2024-02-15_final.stac-item
2024-02-15 09:52:50	ga_ls9c_ard_3-2-1_096072_2024-02-15_final.stac-item
2024-02-15 09:53:14	ga_ls9c_ard_3-2-1_096073_2024-02-15_final.stac-item
2024-02-15 09:53:38	ga_ls9c_ard_3-2-1_096074_2024-02-15_final.stac-item
2024-02-15 09:54:02	ga_ls9c_ard_3-2-1_096075_2024-02-15_final.stac-item
2024-02-15 09:54:50	ga_ls9c_ard_3-2-1_096077_2024-02-15_final.stac-item
2024-02-15 09:56:01	ga_ls9c_ard_3-2-1_096080_2024-02-15_final.stac-item
2024-02-15 09:56:25	ga_ls9c_ard_3-2-1_096081_2024-02-15_final.stac-item
2024-02-15 09:56:49	ga_ls9c_ard_3-2-1_096082_2024-02-15_final.stac-item
2024-02-15 09:57:13	ga_ls9c_ard_3-2-1_096083_2024-02-15_final.stac-item
2024-02-15 09:57:37	ga_ls9c_ard_3-2-1_096084_2024-02-15_final.stac-item
2024-02-15 11:31:43	ga_ls9c_ard_3-2-1_112072_2024-02-15_final.stac-item
2024-02-15 11:32:07	ga_ls9c_ard_3-2-1_112073_2024-02-15_final.stac-item
2024-02-15 11:32:31	ga_ls9c_ard_3-2-1_112074_2024-02-15_final.stac-item
2024-02-15 11:32:55	ga_ls9c_ard_3-2-1_112075_2024-02-15_final.stac-item
2024-02-15 11:33:19	ga_ls9c_ard_3-2-1_112076_2024-02-15_final.stac-item
2024-02-15 11:33:43	ga_ls9c_ard_3-2-1_112077_2024-02-15_final.stac-item
2024-02-15 11:34:06	ga_ls9c_ard_3-2-1_112078_2024-02-15_final.stac-item
2024-02-15 11:34:30	ga_ls9c_ard_3-2-1_112079_2024-02-15_final.stac-item
2024-02-15 11:34:54	ga_ls9c_ard_3-2-1_112080_2024-02-15_final.stac-item
2024-02-15 11:35:18	ga_ls9c_ard_3-2-1_112081_2024-02-15_final.stac-item
2024-02-15 11:35:42	ga_ls9c_ard_3-2-1_112082_2024-02-15_final.stac-item
2024-02-15 11:36:06	ga_ls9c_ard_3-2-1_112083_2024-02-15_final.stac-item
2024-02-15 11:36:30	ga_ls9c_ard_3-2-1_112084_2024-02-15_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