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
2024-03-13 10:22:32	ga_ls8c_ard_3-2-1_101070_2024-03-13_final
2024-03-13 10:22:56	ga_ls8c_ard_3-2-1_101071_2024-03-13_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-13 10:23:44	ga_ls8c_ard_3-2-1_101073_2024-03-13_final
2024-03-13 10:24:31	ga_ls8c_ard_3-2-1_101075_2024-03-13_final
2024-03-13 10:24:55	ga_ls8c_ard_3-2-1_101076_2024-03-13_final
2024-03-13 10:25:19	ga_ls8c_ard_3-2-1_101077_2024-03-13_final
2024-03-13 10:25:43	ga_ls8c_ard_3-2-1_101078_2024-03-13_final
2024-03-13 10:26:07	ga_ls8c_ard_3-2-1_101079_2024-03-13_final
2024-03-13 10:26:31	ga_ls8c_ard_3-2-1_101080_2024-03-13_final
2024-03-13 10:26:55	ga_ls8c_ard_3-2-1_101081_2024-03-13_final
2024-03-13 10:27:19	ga_ls8c_ard_3-2-1_101082_2024-03-13_final
2024-03-13 10:27:43	ga_ls8c_ard_3-2-1_101083_2024-03-13_final
2024-03-15 10:13:45	ga_ls8c_ard_3-2-1_099079_2024-03-15_final
2024-03-15 10:14:09	ga_ls8c_ard_3-2-1_099080_2024-03-15_final
2024-03-15 10:14:32	ga_ls8c_ard_3-2-1_099081_2024-03-15_final
2024-03-15 10:14:56	ga_ls8c_ard_3-2-1_099082_2024-03-15_final
2024-03-15 10:15:20	ga_ls8c_ard_3-2-1_099083_2024-03-15_final
2024-03-15 10:15:44	ga_ls8c_ard_3-2-1_099084_2024-03-15_final
2024-03-15 10:16:08	ga_ls8c_ard_3-2-1_099085_2024-03-15_final
2024-03-18 10:40:13	ga_ls8c_ard_3-2-1_104068_2024-03-18_final
2024-03-18 10:40:37	ga_ls8c_ard_3-2-1_104069_2024-03-18_final
2024-03-18 10:41:01	ga_ls8c_ard_3-2-1_104070_2024-03-18_final
2024-03-18 10:41:25	ga_ls8c_ard_3-2-1_104071_2024-03-18_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-18 10:42:13	ga_ls8c_ard_3-2-1_104073_2024-03-18_final
2024-03-20 10:27:50	ga_ls8c_ard_3-2-1_102068_2024-03-20_final
2024-03-20 10:28:14	ga_ls8c_ard_3-2-1_102069_2024-03-20_final
2024-03-20 10:28:38	ga_ls8c_ard_3-2-1_102070_2024-03-20_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_final
2024-03-20 10:29:26	ga_ls8c_ard_3-2-1_102072_2024-03-20_final
2024-03-20 10:29:50	ga_ls8c_ard_3-2-1_102073_2024-03-20_final
2024-03-20 10:30:14	ga_ls8c_ard_3-2-1_102074_2024-03-20_final
2024-03-20 10:30:38	ga_ls8c_ard_3-2-1_102075_2024-03-20_final
2024-03-20 10:31:02	ga_ls8c_ard_3-2-1_102076_2024-03-20_final
2024-03-20 10:31:26	ga_ls8c_ard_3-2-1_102077_2024-03-20_final
2024-03-20 10:31:49	ga_ls8c_ard_3-2-1_102078_2024-03-20_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-20 10:32:37	ga_ls8c_ard_3-2-1_102080_2024-03-20_final
2024-03-20 10:33:01	ga_ls8c_ard_3-2-1_102081_2024-03-20_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_final
2024-03-22 10:18:14	ga_ls8c_ard_3-2-1_100075_2024-03-22_final
2024-03-22 10:19:02	ga_ls8c_ard_3-2-1_100077_2024-03-22_final
2024-03-22 10:19:26	ga_ls8c_ard_3-2-1_100078_2024-03-22_final
2024-03-22 10:19:50	ga_ls8c_ard_3-2-1_100079_2024-03-22_final
2024-03-22 10:20:14	ga_ls8c_ard_3-2-1_100080_2024-03-22_final
2024-03-22 10:20:38	ga_ls8c_ard_3-2-1_100081_2024-03-22_final
2024-03-22 10:21:02	ga_ls8c_ard_3-2-1_100082_2024-03-22_final
2024-03-22 10:21:26	ga_ls8c_ard_3-2-1_100083_2024-03-22_final
2024-03-22 10:21:50	ga_ls8c_ard_3-2-1_100084_2024-03-22_final
2024-03-24 10:09:01	ga_ls8c_ard_3-2-1_098083_2024-03-24_final
2024-03-24 10:09:25	ga_ls8c_ard_3-2-1_098084_2024-03-24_final
2024-03-24 10:09:49	ga_ls8c_ard_3-2-1_098085_2024-03-24_final
2024-03-25 10:45:52	ga_ls8c_ard_3-2-1_105067_2024-03-25_final
2024-03-27 10:33:51	ga_ls8c_ard_3-2-1_103068_2024-03-27_final
2024-03-27 10:34:15	ga_ls8c_ard_3-2-1_103069_2024-03-27_final
2024-03-27 10:34:39	ga_ls8c_ard_3-2-1_103070_2024-03-27_final
2024-03-27 10:35:03	ga_ls8c_ard_3-2-1_103071_2024-03-27_final
2024-03-27 10:35:27	ga_ls8c_ard_3-2-1_103072_2024-03-27_final
2024-03-27 10:35:51	ga_ls8c_ard_3-2-1_103073_2024-03-27_final
2024-03-27 10:36:15	ga_ls8c_ard_3-2-1_103074_2024-03-27_final
2024-03-27 10:36:39	ga_ls8c_ard_3-2-1_103075_2024-03-27_final
2024-03-27 10:37:03	ga_ls8c_ard_3-2-1_103076_2024-03-27_final
2024-03-27 10:37:26	ga_ls8c_ard_3-2-1_103077_2024-03-27_final
2024-03-29 10:22:17	ga_ls8c_ard_3-2-1_101070_2024-03-29_final
2024-03-29 10:22:41	ga_ls8c_ard_3-2-1_101071_2024-03-29_final
2024-03-29 10:23:05	ga_ls8c_ard_3-2-1_101072_2024-03-29_final
2024-03-29 10:23:29	ga_ls8c_ard_3-2-1_101073_2024-03-29_final
2024-03-29 10:23:53	ga_ls8c_ard_3-2-1_101074_2024-03-29_final
2024-03-29 10:24:17	ga_ls8c_ard_3-2-1_101075_2024-03-29_final
2024-03-29 10:24:41	ga_ls8c_ard_3-2-1_101076_2024-03-29_final
2024-03-29 10:25:05	ga_ls8c_ard_3-2-1_101077_2024-03-29_final
2024-03-29 10:25:28	ga_ls8c_ard_3-2-1_101078_2024-03-29_final
2024-03-29 10:27:04	ga_ls8c_ard_3-2-1_101082_2024-03-29_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_final
2024-03-31 10:13:31	ga_ls8c_ard_3-2-1_099079_2024-03-31_final
2024-03-31 10:13:55	ga_ls8c_ard_3-2-1_099080_2024-03-31_final
2024-03-31 10:14:19	ga_ls8c_ard_3-2-1_099081_2024-03-31_final
2024-03-31 10:15:07	ga_ls8c_ard_3-2-1_099083_2024-03-31_final
2024-03-31 10:15:31	ga_ls8c_ard_3-2-1_099084_2024-03-31_final
2024-03-31 10:15:55	ga_ls8c_ard_3-2-1_099085_2024-03-31_final
2024-04-03 10:40:26	ga_ls8c_ard_3-2-1_104069_2024-04-03_final
2024-04-03 10:40:50	ga_ls8c_ard_3-2-1_104070_2024-04-03_final
2024-04-03 10:41:38	ga_ls8c_ard_3-2-1_104072_2024-04-03_final
2024-04-03 10:42:02	ga_ls8c_ard_3-2-1_104073_2024-04-03_final
2024-04-05 10:27:41	ga_ls8c_ard_3-2-1_102068_2024-04-05_final
2024-04-05 10:28:05	ga_ls8c_ard_3-2-1_102069_2024-04-05_final
2024-04-05 10:28:29	ga_ls8c_ard_3-2-1_102070_2024-04-05_final
2024-04-05 10:28:53	ga_ls8c_ard_3-2-1_102071_2024-04-05_final
2024-04-05 10:30:28	ga_ls8c_ard_3-2-1_102075_2024-04-05_final
2024-04-05 10:30:52	ga_ls8c_ard_3-2-1_102076_2024-04-05_final
2024-04-05 10:31:16	ga_ls8c_ard_3-2-1_102077_2024-04-05_final
2024-04-05 10:31:40	ga_ls8c_ard_3-2-1_102078_2024-04-05_final
2024-04-05 10:32:04	ga_ls8c_ard_3-2-1_102079_2024-04-05_final
2024-04-05 10:32:52	ga_ls8c_ard_3-2-1_102081_2024-04-05_final
2024-04-05 10:33:16	ga_ls8c_ard_3-2-1_102082_2024-04-05_final
2024-04-07 10:18:06	ga_ls8c_ard_3-2-1_100075_2024-04-07_final
2024-04-07 10:18:30	ga_ls8c_ard_3-2-1_100076_2024-04-07_final
2024-04-07 10:20:30	ga_ls8c_ard_3-2-1_100081_2024-04-07_final
2024-04-07 10:20:54	ga_ls8c_ard_3-2-1_100082_2024-04-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years