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
2024-04-09 10:08:56	ga_ls8c_ard_3-2-1_098083_2024-04-09_final
2024-04-09 10:09:20	ga_ls8c_ard_3-2-1_098084_2024-04-09_final
2024-04-09 10:09:44	ga_ls8c_ard_3-2-1_098085_2024-04-09_final
2024-04-10 10:45:48	ga_ls8c_ard_3-2-1_105067_2024-04-10_final
2024-04-10 10:46:12	ga_ls8c_ard_3-2-1_105068_2024-04-10_final
2024-04-12 10:33:49	ga_ls8c_ard_3-2-1_103068_2024-04-12_final
2024-04-12 10:34:13	ga_ls8c_ard_3-2-1_103069_2024-04-12_final
2024-04-12 10:34:37	ga_ls8c_ard_3-2-1_103070_2024-04-12_final
2024-04-12 10:35:01	ga_ls8c_ard_3-2-1_103071_2024-04-12_final
2024-04-12 10:35:25	ga_ls8c_ard_3-2-1_103072_2024-04-12_final
2024-04-12 10:35:49	ga_ls8c_ard_3-2-1_103073_2024-04-12_final
2024-04-12 10:36:13	ga_ls8c_ard_3-2-1_103074_2024-04-12_final
2024-04-12 10:36:37	ga_ls8c_ard_3-2-1_103075_2024-04-12_final
2024-04-14 10:22:14	ga_ls8c_ard_3-2-1_101070_2024-04-14_final
2024-04-14 10:22:38	ga_ls8c_ard_3-2-1_101071_2024-04-14_final
2024-04-14 10:23:02	ga_ls8c_ard_3-2-1_101072_2024-04-14_final
2024-04-14 10:23:26	ga_ls8c_ard_3-2-1_101073_2024-04-14_final
2024-04-14 10:25:50	ga_ls8c_ard_3-2-1_101079_2024-04-14_final
2024-04-14 10:26:14	ga_ls8c_ard_3-2-1_101080_2024-04-14_final
2024-04-14 10:26:37	ga_ls8c_ard_3-2-1_101081_2024-04-14_final
2024-04-14 10:27:01	ga_ls8c_ard_3-2-1_101082_2024-04-14_final
2024-04-14 10:27:25	ga_ls8c_ard_3-2-1_101083_2024-04-14_final
2024-04-16 10:13:26	ga_ls8c_ard_3-2-1_099079_2024-04-16_final
2024-04-16 10:13:50	ga_ls8c_ard_3-2-1_099080_2024-04-16_final
2024-04-16 10:14:14	ga_ls8c_ard_3-2-1_099081_2024-04-16_final
2024-04-16 10:15:02	ga_ls8c_ard_3-2-1_099083_2024-04-16_final
2024-04-16 10:15:26	ga_ls8c_ard_3-2-1_099084_2024-04-16_final
2024-04-16 10:15:50	ga_ls8c_ard_3-2-1_099085_2024-04-16_final
2024-04-19 10:39:53	ga_ls8c_ard_3-2-1_104068_2024-04-19_final
2024-04-19 10:40:17	ga_ls8c_ard_3-2-1_104069_2024-04-19_final
2024-04-19 10:40:41	ga_ls8c_ard_3-2-1_104070_2024-04-19_final
2024-04-19 10:41:05	ga_ls8c_ard_3-2-1_104071_2024-04-19_final
2024-04-19 10:41:29	ga_ls8c_ard_3-2-1_104072_2024-04-19_final
2024-04-21 10:28:44	ga_ls8c_ard_3-2-1_102071_2024-04-21_final
2024-04-21 10:30:20	ga_ls8c_ard_3-2-1_102075_2024-04-21_final
2024-04-21 10:30:43	ga_ls8c_ard_3-2-1_102076_2024-04-21_final
2024-04-21 10:31:07	ga_ls8c_ard_3-2-1_102077_2024-04-21_final
2024-04-21 10:31:31	ga_ls8c_ard_3-2-1_102078_2024-04-21_final
2024-04-21 10:31:55	ga_ls8c_ard_3-2-1_102079_2024-04-21_final
2024-04-21 10:32:19	ga_ls8c_ard_3-2-1_102080_2024-04-21_final
2024-04-21 10:32:43	ga_ls8c_ard_3-2-1_102081_2024-04-21_final
2024-04-21 10:33:07	ga_ls8c_ard_3-2-1_102082_2024-04-21_final
2024-04-23 10:17:58	ga_ls8c_ard_3-2-1_100075_2024-04-23_final
2024-04-23 10:18:22	ga_ls8c_ard_3-2-1_100076_2024-04-23_final
2024-04-23 10:18:46	ga_ls8c_ard_3-2-1_100077_2024-04-23_final
2024-04-23 10:19:10	ga_ls8c_ard_3-2-1_100078_2024-04-23_final
2024-04-23 10:19:34	ga_ls8c_ard_3-2-1_100079_2024-04-23_final
2024-04-23 10:19:57	ga_ls8c_ard_3-2-1_100080_2024-04-23_final
2024-04-23 10:20:21	ga_ls8c_ard_3-2-1_100081_2024-04-23_final
2024-04-23 10:20:45	ga_ls8c_ard_3-2-1_100082_2024-04-23_final
2024-04-26 10:45:39	ga_ls8c_ard_3-2-1_105067_2024-04-26_final
2024-04-28 10:33:39	ga_ls8c_ard_3-2-1_103068_2024-04-28_final
2024-04-28 10:34:03	ga_ls8c_ard_3-2-1_103069_2024-04-28_final
2024-04-28 10:34:27	ga_ls8c_ard_3-2-1_103070_2024-04-28_final
2024-04-28 10:34:51	ga_ls8c_ard_3-2-1_103071_2024-04-28_final
2024-04-28 10:35:15	ga_ls8c_ard_3-2-1_103072_2024-04-28_final
2024-04-28 10:35:39	ga_ls8c_ard_3-2-1_103073_2024-04-28_final
2024-04-28 10:36:03	ga_ls8c_ard_3-2-1_103074_2024-04-28_final
2024-04-28 10:36:27	ga_ls8c_ard_3-2-1_103075_2024-04-28_final
2024-04-28 10:36:51	ga_ls8c_ard_3-2-1_103076_2024-04-28_final
2024-04-28 10:37:15	ga_ls8c_ard_3-2-1_103077_2024-04-28_final
2024-04-30 10:22:03	ga_ls8c_ard_3-2-1_101070_2024-04-30_final
2024-04-30 10:22:51	ga_ls8c_ard_3-2-1_101072_2024-04-30_final
2024-04-30 10:23:15	ga_ls8c_ard_3-2-1_101073_2024-04-30_final
2024-04-30 10:23:39	ga_ls8c_ard_3-2-1_101074_2024-04-30_final
2024-04-30 10:24:03	ga_ls8c_ard_3-2-1_101075_2024-04-30_final
2024-04-30 10:24:27	ga_ls8c_ard_3-2-1_101076_2024-04-30_final
2024-04-30 10:24:51	ga_ls8c_ard_3-2-1_101077_2024-04-30_final
2024-04-30 10:25:15	ga_ls8c_ard_3-2-1_101078_2024-04-30_final
2024-04-30 10:25:39	ga_ls8c_ard_3-2-1_101079_2024-04-30_final
2024-04-30 10:26:02	ga_ls8c_ard_3-2-1_101080_2024-04-30_final
2024-04-30 10:26:26	ga_ls8c_ard_3-2-1_101081_2024-04-30_final
2024-04-30 10:27:14	ga_ls8c_ard_3-2-1_101083_2024-04-30_final
2024-05-02 10:13:15	ga_ls8c_ard_3-2-1_099079_2024-05-02_final
2024-05-02 10:13:39	ga_ls8c_ard_3-2-1_099080_2024-05-02_final
2024-05-02 10:14:03	ga_ls8c_ard_3-2-1_099081_2024-05-02_final
2024-05-02 10:14:27	ga_ls8c_ard_3-2-1_099082_2024-05-02_final
2024-05-02 10:14:51	ga_ls8c_ard_3-2-1_099083_2024-05-02_final
2024-05-02 10:15:14	ga_ls8c_ard_3-2-1_099084_2024-05-02_final
2024-05-02 10:15:38	ga_ls8c_ard_3-2-1_099085_2024-05-02_final
2024-05-05 10:39:45	ga_ls8c_ard_3-2-1_104068_2024-05-05_final
2024-05-05 10:40:09	ga_ls8c_ard_3-2-1_104069_2024-05-05_final
2024-05-05 10:40:33	ga_ls8c_ard_3-2-1_104070_2024-05-05_final
2024-05-05 10:40:56	ga_ls8c_ard_3-2-1_104071_2024-05-05_final
2024-05-05 10:41:20	ga_ls8c_ard_3-2-1_104072_2024-05-05_final
2024-05-05 10:41:44	ga_ls8c_ard_3-2-1_104073_2024-05-05_final
2024-05-07 10:27:22	ga_ls8c_ard_3-2-1_102068_2024-05-07_final
2024-05-07 10:27:46	ga_ls8c_ard_3-2-1_102069_2024-05-07_final
2024-05-07 10:28:10	ga_ls8c_ard_3-2-1_102070_2024-05-07_final
2024-05-07 10:28:34	ga_ls8c_ard_3-2-1_102071_2024-05-07_final
2024-05-07 10:28:58	ga_ls8c_ard_3-2-1_102072_2024-05-07_final
2024-05-07 10:29:22	ga_ls8c_ard_3-2-1_102073_2024-05-07_final
2024-05-07 10:29:46	ga_ls8c_ard_3-2-1_102074_2024-05-07_final
2024-05-07 10:30:10	ga_ls8c_ard_3-2-1_102075_2024-05-07_final
2024-05-07 10:30:34	ga_ls8c_ard_3-2-1_102076_2024-05-07_final
2024-05-07 10:30:58	ga_ls8c_ard_3-2-1_102077_2024-05-07_final
2024-05-07 10:31:21	ga_ls8c_ard_3-2-1_102078_2024-05-07_final
2024-05-07 10:31:45	ga_ls8c_ard_3-2-1_102079_2024-05-07_final
2024-05-07 10:32:09	ga_ls8c_ard_3-2-1_102080_2024-05-07_final
2024-05-07 10:32:33	ga_ls8c_ard_3-2-1_102081_2024-05-07_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years