Search ga_ls8c_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
2024-03-17 11:38:15	ga_ls8c_ard_3-2-1_113074_2024-03-17_final
2024-03-17 11:41:51	ga_ls8c_ard_3-2-1_113083_2024-03-17_final
2024-03-17 11:42:14	ga_ls8c_ard_3-2-1_113084_2024-03-17_final
2024-03-19 11:27:28	ga_ls8c_ard_3-2-1_111078_2024-03-19_final
2024-03-24 11:44:43	ga_ls8c_ard_3-2-1_114075_2024-03-24_final
2024-03-24 11:45:07	ga_ls8c_ard_3-2-1_114076_2024-03-24_final
2024-03-24 11:45:31	ga_ls8c_ard_3-2-1_114077_2024-03-24_final
2024-03-24 11:45:55	ga_ls8c_ard_3-2-1_114078_2024-03-24_final
2024-03-24 11:46:19	ga_ls8c_ard_3-2-1_114079_2024-03-24_final
2024-03-24 11:46:42	ga_ls8c_ard_3-2-1_114080_2024-03-24_final
2024-03-26 11:31:30	ga_ls8c_ard_3-2-1_112073_2024-03-26_final
2024-03-26 11:31:54	ga_ls8c_ard_3-2-1_112074_2024-03-26_final
2024-03-26 11:32:18	ga_ls8c_ard_3-2-1_112075_2024-03-26_final
2024-03-26 11:33:06	ga_ls8c_ard_3-2-1_112077_2024-03-26_final
2024-03-26 11:33:30	ga_ls8c_ard_3-2-1_112078_2024-03-26_final
2024-03-26 11:33:54	ga_ls8c_ard_3-2-1_112079_2024-03-26_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-26 11:35:05	ga_ls8c_ard_3-2-1_112082_2024-03-26_final
2024-03-26 11:35:29	ga_ls8c_ard_3-2-1_112083_2024-03-26_final
2024-04-02 11:38:03	ga_ls8c_ard_3-2-1_113074_2024-04-02_final
2024-04-02 11:39:39	ga_ls8c_ard_3-2-1_113078_2024-04-02_final
2024-04-02 11:42:03	ga_ls8c_ard_3-2-1_113084_2024-04-02_final
2024-04-09 11:44:13	ga_ls8c_ard_3-2-1_114074_2024-04-09_final
2024-04-09 11:44:37	ga_ls8c_ard_3-2-1_114075_2024-04-09_final
2024-04-09 11:45:01	ga_ls8c_ard_3-2-1_114076_2024-04-09_final
2024-04-09 11:45:25	ga_ls8c_ard_3-2-1_114077_2024-04-09_final
2024-04-09 11:45:49	ga_ls8c_ard_3-2-1_114078_2024-04-09_final
2024-04-09 11:46:13	ga_ls8c_ard_3-2-1_114079_2024-04-09_final
2024-04-09 11:46:37	ga_ls8c_ard_3-2-1_114080_2024-04-09_final
2024-04-11 11:31:27	ga_ls8c_ard_3-2-1_112073_2024-04-11_final
2024-04-11 11:31:51	ga_ls8c_ard_3-2-1_112074_2024-04-11_final
2024-04-11 11:32:15	ga_ls8c_ard_3-2-1_112075_2024-04-11_final
2024-04-11 11:32:39	ga_ls8c_ard_3-2-1_112076_2024-04-11_final
2024-04-11 11:33:03	ga_ls8c_ard_3-2-1_112077_2024-04-11_final
2024-04-11 11:33:26	ga_ls8c_ard_3-2-1_112078_2024-04-11_final
2024-04-11 11:33:50	ga_ls8c_ard_3-2-1_112079_2024-04-11_final
2024-04-11 11:34:14	ga_ls8c_ard_3-2-1_112080_2024-04-11_final
2024-04-11 11:34:38	ga_ls8c_ard_3-2-1_112081_2024-04-11_final
2024-04-11 11:35:02	ga_ls8c_ard_3-2-1_112082_2024-04-11_final
2024-04-11 11:35:26	ga_ls8c_ard_3-2-1_112083_2024-04-11_final
2024-04-11 11:35:50	ga_ls8c_ard_3-2-1_112084_2024-04-11_final
2024-04-13 11:22:39	ga_ls8c_ard_3-2-1_110082_2024-04-13_final
2024-04-13 11:23:03	ga_ls8c_ard_3-2-1_110083_2024-04-13_final
2024-04-13 11:23:27	ga_ls8c_ard_3-2-1_110084_2024-04-13_final
2024-04-13 11:23:51	ga_ls8c_ard_3-2-1_110085_2024-04-13_final
2024-04-16 11:50:20	ga_ls8c_ard_3-2-1_115074_2024-04-16_final
2024-04-16 11:50:44	ga_ls8c_ard_3-2-1_115075_2024-04-16_final
2024-04-16 11:51:07	ga_ls8c_ard_3-2-1_115076_2024-04-16_final
2024-04-18 11:37:08	ga_ls8c_ard_3-2-1_113072_2024-04-18_final
2024-04-18 11:37:32	ga_ls8c_ard_3-2-1_113073_2024-04-18_final
2024-04-18 11:37:56	ga_ls8c_ard_3-2-1_113074_2024-04-18_final
2024-04-18 11:38:20	ga_ls8c_ard_3-2-1_113075_2024-04-18_final
2024-04-18 11:38:44	ga_ls8c_ard_3-2-1_113076_2024-04-18_final
2024-04-18 11:39:07	ga_ls8c_ard_3-2-1_113077_2024-04-18_final
2024-04-18 11:39:31	ga_ls8c_ard_3-2-1_113078_2024-04-18_final
2024-04-18 11:39:55	ga_ls8c_ard_3-2-1_113079_2024-04-18_final
2024-04-18 11:41:07	ga_ls8c_ard_3-2-1_113082_2024-04-18_final
2024-04-18 11:41:31	ga_ls8c_ard_3-2-1_113083_2024-04-18_final
2024-04-20 11:27:08	ga_ls8c_ard_3-2-1_111078_2024-04-20_final
2024-04-20 11:27:32	ga_ls8c_ard_3-2-1_111079_2024-04-20_final
2024-04-20 11:27:56	ga_ls8c_ard_3-2-1_111080_2024-04-20_final
2024-04-20 11:28:20	ga_ls8c_ard_3-2-1_111081_2024-04-20_final
2024-04-20 11:28:44	ga_ls8c_ard_3-2-1_111082_2024-04-20_final
2024-04-20 11:29:08	ga_ls8c_ard_3-2-1_111083_2024-04-20_final
2024-04-20 11:29:32	ga_ls8c_ard_3-2-1_111084_2024-04-20_final
2024-04-27 11:31:17	ga_ls8c_ard_3-2-1_112073_2024-04-27_final
2024-04-27 11:31:41	ga_ls8c_ard_3-2-1_112074_2024-04-27_final
2024-04-27 11:32:05	ga_ls8c_ard_3-2-1_112075_2024-04-27_final
2024-04-27 11:32:29	ga_ls8c_ard_3-2-1_112076_2024-04-27_final
2024-04-27 11:33:41	ga_ls8c_ard_3-2-1_112079_2024-04-27_final
2024-04-27 11:34:05	ga_ls8c_ard_3-2-1_112080_2024-04-27_final
2024-04-27 11:34:29	ga_ls8c_ard_3-2-1_112081_2024-04-27_final
2024-04-27 11:34:53	ga_ls8c_ard_3-2-1_112082_2024-04-27_final
2024-04-27 11:35:17	ga_ls8c_ard_3-2-1_112083_2024-04-27_final
2024-04-27 11:35:41	ga_ls8c_ard_3-2-1_112084_2024-04-27_final
2024-04-29 11:22:29	ga_ls8c_ard_3-2-1_110082_2024-04-29_final
2024-04-29 11:22:53	ga_ls8c_ard_3-2-1_110083_2024-04-29_final
2024-04-29 11:23:17	ga_ls8c_ard_3-2-1_110084_2024-04-29_final
2024-04-29 11:23:41	ga_ls8c_ard_3-2-1_110085_2024-04-29_final
2024-05-02 11:50:08	ga_ls8c_ard_3-2-1_115074_2024-05-02_final
2024-05-02 11:50:32	ga_ls8c_ard_3-2-1_115075_2024-05-02_final
2024-05-02 11:50:56	ga_ls8c_ard_3-2-1_115076_2024-05-02_final
2024-05-04 11:36:58	ga_ls8c_ard_3-2-1_113072_2024-05-04_final
2024-05-04 11:37:22	ga_ls8c_ard_3-2-1_113073_2024-05-04_final
2024-05-04 11:37:46	ga_ls8c_ard_3-2-1_113074_2024-05-04_final
2024-05-04 11:38:10	ga_ls8c_ard_3-2-1_113075_2024-05-04_final
2024-05-04 11:38:34	ga_ls8c_ard_3-2-1_113076_2024-05-04_final
2024-05-04 11:38:58	ga_ls8c_ard_3-2-1_113077_2024-05-04_final
2024-05-04 11:39:22	ga_ls8c_ard_3-2-1_113078_2024-05-04_final
2024-05-04 11:39:46	ga_ls8c_ard_3-2-1_113079_2024-05-04_final
2024-05-04 11:40:10	ga_ls8c_ard_3-2-1_113080_2024-05-04_final
2024-05-04 11:40:34	ga_ls8c_ard_3-2-1_113081_2024-05-04_final
2024-05-04 11:40:58	ga_ls8c_ard_3-2-1_113082_2024-05-04_final
2024-05-04 11:41:21	ga_ls8c_ard_3-2-1_113083_2024-05-04_final
2024-05-06 11:26:59	ga_ls8c_ard_3-2-1_111078_2024-05-06_final
2024-05-06 11:27:23	ga_ls8c_ard_3-2-1_111079_2024-05-06_final
2024-05-06 11:27:47	ga_ls8c_ard_3-2-1_111080_2024-05-06_final
2024-05-06 11:28:11	ga_ls8c_ard_3-2-1_111081_2024-05-06_final
2024-05-06 11:28:35	ga_ls8c_ard_3-2-1_111082_2024-05-06_final
2024-05-06 11:28:59	ga_ls8c_ard_3-2-1_111083_2024-05-06_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 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