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
2014-12-05 11:24:15	ga_ls8c_ard_3-0-0_111069_2014-12-05_final
2014-12-05 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-12-05_final
2014-12-05 11:25:03	ga_ls8c_ard_3-0-0_111071_2014-12-05_final
2014-12-05 11:25:27	ga_ls8c_ard_3-0-0_111072_2014-12-05_final
2014-12-05 11:25:51	ga_ls8c_ard_3-0-0_111073_2014-12-05_final
2014-12-05 11:26:15	ga_ls8c_ard_3-0-0_111074_2014-12-05_final
2015-01-22 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-01-22_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-01-22 11:24:51	ga_ls8c_ard_3-0-0_111071_2015-01-22_final
2015-01-22 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-01-22_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-01-22 11:26:03	ga_ls8c_ard_3-0-0_111074_2015-01-22_final
2015-01-24 11:15:16	ga_ls8c_ard_3-0-0_109078_2015-01-24_final
2015-01-24 11:15:40	ga_ls8c_ard_3-0-0_109079_2015-01-24_final
2015-01-24 11:16:04	ga_ls8c_ard_3-0-0_109080_2015-01-24_final
2015-01-24 11:16:28	ga_ls8c_ard_3-0-0_109081_2015-01-24_final
2015-01-24 11:16:52	ga_ls8c_ard_3-0-0_109082_2015-01-24_final
2015-01-24 11:17:16	ga_ls8c_ard_3-0-0_109083_2015-01-24_final
2015-04-21 11:18:52	ga_ls8c_ard_3-0-0_110073_2015-04-21_final
2015-04-21 11:19:16	ga_ls8c_ard_3-0-0_110074_2015-04-21_final
2015-04-21 11:19:40	ga_ls8c_ard_3-0-0_110075_2015-04-21_final
2015-04-21 11:20:04	ga_ls8c_ard_3-0-0_110076_2015-04-21_final
2015-04-21 11:20:28	ga_ls8c_ard_3-0-0_110077_2015-04-21_final
2015-04-21 11:20:52	ga_ls8c_ard_3-0-0_110078_2015-04-21_final
2015-04-21 11:21:16	ga_ls8c_ard_3-0-0_110079_2015-04-21_final
2015-04-23 11:10:05	ga_ls8c_ard_3-0-0_108082_2015-04-23_final
2015-04-23 11:10:29	ga_ls8c_ard_3-0-0_108083_2015-04-23_final
2015-04-23 11:10:53	ga_ls8c_ard_3-0-0_108084_2015-04-23_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-04-28 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-04-28_final
2015-04-28 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-04-28_final
2015-04-28 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-04-28_final
2015-04-28 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-04-28_final
2015-04-28 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-04-28_final
2015-04-30 11:14:34	ga_ls8c_ard_3-0-0_109078_2015-04-30_final
2015-04-30 11:14:58	ga_ls8c_ard_3-0-0_109079_2015-04-30_final
2015-04-30 11:15:22	ga_ls8c_ard_3-0-0_109080_2015-04-30_final
2015-04-30 11:15:46	ga_ls8c_ard_3-0-0_109081_2015-04-30_final
2015-04-30 11:16:10	ga_ls8c_ard_3-0-0_109082_2015-04-30_final
2015-04-30 11:16:34	ga_ls8c_ard_3-0-0_109083_2015-04-30_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-06-15 11:24:10	ga_ls8c_ard_3-0-0_111071_2015-06-15_final
2015-06-15 11:24:34	ga_ls8c_ard_3-0-0_111072_2015-06-15_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-06-15 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-06-15_final
2015-06-17 11:14:37	ga_ls8c_ard_3-0-0_109078_2015-06-17_final
2015-06-17 11:15:01	ga_ls8c_ard_3-0-0_109079_2015-06-17_final
2015-06-17 11:15:25	ga_ls8c_ard_3-0-0_109080_2015-06-17_final
2015-06-17 11:15:49	ga_ls8c_ard_3-0-0_109081_2015-06-17_final
2015-06-17 11:16:13	ga_ls8c_ard_3-0-0_109082_2015-06-17_final
2015-06-17 11:16:37	ga_ls8c_ard_3-0-0_109083_2015-06-17_final
2015-07-01 11:23:29	ga_ls8c_ard_3-0-0_111069_2015-07-01_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2015-07-03 11:14:44	ga_ls8c_ard_3-0-0_109078_2015-07-03_final
2015-07-03 11:15:08	ga_ls8c_ard_3-0-0_109079_2015-07-03_final
2015-07-03 11:15:32	ga_ls8c_ard_3-0-0_109080_2015-07-03_final
2015-07-03 11:15:56	ga_ls8c_ard_3-0-0_109081_2015-07-03_final
2015-07-03 11:16:20	ga_ls8c_ard_3-0-0_109082_2015-07-03_final
2015-07-03 11:16:44	ga_ls8c_ard_3-0-0_109083_2015-07-03_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2015-08-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2015-08-18_final
2015-08-18 11:24:37	ga_ls8c_ard_3-0-0_111071_2015-08-18_final
2015-08-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2015-08-18_final
2015-08-18 11:25:25	ga_ls8c_ard_3-0-0_111073_2015-08-18_final
2015-08-18 11:25:49	ga_ls8c_ard_3-0-0_111074_2015-08-18_final
2015-08-20 11:15:04	ga_ls8c_ard_3-0-0_109078_2015-08-20_final
2015-08-20 11:15:28	ga_ls8c_ard_3-0-0_109079_2015-08-20_final
2015-08-20 11:15:52	ga_ls8c_ard_3-0-0_109080_2015-08-20_final
2015-08-20 11:16:16	ga_ls8c_ard_3-0-0_109081_2015-08-20_final
2015-08-20 11:16:40	ga_ls8c_ard_3-0-0_109082_2015-08-20_final
2015-08-20 11:17:04	ga_ls8c_ard_3-0-0_109083_2015-08-20_final
2022-05-26 11:19:26	ga_ls8c_ard_3-2-1_110073_2022-05-26_final
2022-05-26 11:19:50	ga_ls8c_ard_3-2-1_110074_2022-05-26_final
2022-05-26 11:20:14	ga_ls8c_ard_3-2-1_110075_2022-05-26_final
2022-05-26 11:20:38	ga_ls8c_ard_3-2-1_110076_2022-05-26_final
2022-05-26 11:21:02	ga_ls8c_ard_3-2-1_110077_2022-05-26_final
2022-05-26 11:21:26	ga_ls8c_ard_3-2-1_110078_2022-05-26_final
2022-05-26 11:21:50	ga_ls8c_ard_3-2-1_110079_2022-05-26_final
2022-05-28 11:10:40	ga_ls8c_ard_3-2-1_108082_2022-05-28_final
2022-05-28 11:11:04	ga_ls8c_ard_3-2-1_108083_2022-05-28_final
2022-05-28 11:11:28	ga_ls8c_ard_3-2-1_108084_2022-05-28_final
2022-06-02 11:24:06	ga_ls8c_ard_3-2-1_111069_2022-06-02_final
2022-06-02 11:24:30	ga_ls8c_ard_3-2-1_111070_2022-06-02_final
2022-06-02 11:24:54	ga_ls8c_ard_3-2-1_111071_2022-06-02_final
2022-06-02 11:25:18	ga_ls8c_ard_3-2-1_111072_2022-06-02_final
2022-06-02 11:25:42	ga_ls8c_ard_3-2-1_111073_2022-06-02_final
2022-06-02 11:26:06	ga_ls8c_ard_3-2-1_111074_2022-06-02_final
2022-06-04 11:15:21	ga_ls8c_ard_3-2-1_109078_2022-06-04_final
2022-06-04 11:15:45	ga_ls8c_ard_3-2-1_109079_2022-06-04_final
2022-06-04 11:16:09	ga_ls8c_ard_3-2-1_109080_2022-06-04_final
2022-06-04 11:16:33	ga_ls8c_ard_3-2-1_109081_2022-06-04_final
2022-06-04 11:16:57	ga_ls8c_ard_3-2-1_109082_2022-06-04_final
2022-06-04 11:17:21	ga_ls8c_ard_3-2-1_109083_2022-06-04_final
2022-06-11 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-06-11_final
2022-06-11 11:20:02	ga_ls8c_ard_3-2-1_110074_2022-06-11_final
2022-06-11 11:20:26	ga_ls8c_ard_3-2-1_110075_2022-06-11_final
2022-06-11 11:20:50	ga_ls8c_ard_3-2-1_110076_2022-06-11_final
2022-06-11 11:21:14	ga_ls8c_ard_3-2-1_110077_2022-06-11_final
2022-06-11 11:21:38	ga_ls8c_ard_3-2-1_110078_2022-06-11_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