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
2013-08-21 11:21:32	ga_ls8c_ard_3-0-0_110073_2013-08-21_final
2013-08-21 11:21:56	ga_ls8c_ard_3-0-0_110074_2013-08-21_final
2013-08-21 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-08-21_final
2013-08-21 11:22:44	ga_ls8c_ard_3-0-0_110076_2013-08-21_final
2013-08-21 11:23:08	ga_ls8c_ard_3-0-0_110077_2013-08-21_final
2013-08-21 11:23:32	ga_ls8c_ard_3-0-0_110078_2013-08-21_final
2013-08-21 11:23:56	ga_ls8c_ard_3-0-0_110079_2013-08-21_final
2013-08-23 11:12:47	ga_ls8c_ard_3-0-0_108082_2013-08-23_final
2013-08-23 11:13:11	ga_ls8c_ard_3-0-0_108083_2013-08-23_final
2013-08-23 11:13:35	ga_ls8c_ard_3-0-0_108084_2013-08-23_final
2013-10-06 11:31:22	ga_ls8c_ard_3-0-0_112067_2013-10-06_final
2013-10-22 11:31:16	ga_ls8c_ard_3-0-0_112067_2013-10-22_final
2013-11-25 11:21:30	ga_ls8c_ard_3-0-0_110074_2013-11-25_final
2013-11-25 11:21:54	ga_ls8c_ard_3-0-0_110075_2013-11-25_final
2013-11-25 11:22:18	ga_ls8c_ard_3-0-0_110076_2013-11-25_final
2013-11-25 11:22:42	ga_ls8c_ard_3-0-0_110077_2013-11-25_final
2013-11-25 11:23:06	ga_ls8c_ard_3-0-0_110078_2013-11-25_final
2013-11-25 11:23:30	ga_ls8c_ard_3-0-0_110079_2013-11-25_final
2014-03-10 11:15:52	ga_ls8c_ard_3-0-0_109078_2014-03-10_final
2014-03-10 11:16:16	ga_ls8c_ard_3-0-0_109079_2014-03-10_final
2014-03-10 11:16:40	ga_ls8c_ard_3-0-0_109080_2014-03-10_final
2014-03-10 11:17:04	ga_ls8c_ard_3-0-0_109081_2014-03-10_final
2014-03-10 11:17:28	ga_ls8c_ard_3-0-0_109082_2014-03-10_final
2014-03-10 11:17:52	ga_ls8c_ard_3-0-0_109083_2014-03-10_final
2014-03-17 11:19:59	ga_ls8c_ard_3-0-0_110073_2014-03-17_final
2014-03-17 11:20:23	ga_ls8c_ard_3-0-0_110074_2014-03-17_final
2014-03-17 11:20:47	ga_ls8c_ard_3-0-0_110075_2014-03-17_final
2014-03-17 11:21:11	ga_ls8c_ard_3-0-0_110076_2014-03-17_final
2014-03-17 11:21:35	ga_ls8c_ard_3-0-0_110077_2014-03-17_final
2014-03-17 11:21:59	ga_ls8c_ard_3-0-0_110078_2014-03-17_final
2014-03-17 11:22:23	ga_ls8c_ard_3-0-0_110079_2014-03-17_final
2014-03-31 11:29:42	ga_ls8c_ard_3-0-0_112067_2014-03-31_final
2014-05-02 11:29:11	ga_ls8c_ard_3-0-0_112067_2014-05-02_final
2014-05-11 11:23:41	ga_ls8c_ard_3-0-0_111069_2014-05-11_final
2014-05-11 11:24:05	ga_ls8c_ard_3-0-0_111070_2014-05-11_final
2014-05-11 11:24:29	ga_ls8c_ard_3-0-0_111071_2014-05-11_final
2014-05-11 11:24:53	ga_ls8c_ard_3-0-0_111072_2014-05-11_final
2014-06-03 11:29:06	ga_ls8c_ard_3-0-0_112067_2014-06-03_final
2014-06-03 11:29:30	ga_ls8c_ard_3-0-0_112068_2014-06-03_final
2014-06-03 11:29:54	ga_ls8c_ard_3-0-0_112069_2014-06-03_final
2014-06-12 11:23:47	ga_ls8c_ard_3-0-0_111069_2014-06-12_final
2014-06-12 11:24:11	ga_ls8c_ard_3-0-0_111070_2014-06-12_final
2014-06-12 11:24:35	ga_ls8c_ard_3-0-0_111071_2014-06-12_final
2014-06-12 11:24:59	ga_ls8c_ard_3-0-0_111072_2014-06-12_final
2014-06-12 11:25:23	ga_ls8c_ard_3-0-0_111073_2014-06-12_final
2014-06-12 11:25:47	ga_ls8c_ard_3-0-0_111074_2014-06-12_final
2014-06-28 11:23:49	ga_ls8c_ard_3-0-0_111069_2014-06-28_final
2014-06-28 11:24:13	ga_ls8c_ard_3-0-0_111070_2014-06-28_final
2014-06-28 11:24:37	ga_ls8c_ard_3-0-0_111071_2014-06-28_final
2014-06-28 11:25:01	ga_ls8c_ard_3-0-0_111072_2014-06-28_final
2014-06-28 11:25:25	ga_ls8c_ard_3-0-0_111073_2014-06-28_final
2014-06-28 11:25:49	ga_ls8c_ard_3-0-0_111074_2014-06-28_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-03-10 11:29:29	ga_ls8c_ard_3-0-0_112068_2018-03-10_final
2018-03-10 11:29:53	ga_ls8c_ard_3-0-0_112069_2018-03-10_final
2018-03-26 11:28:58	ga_ls8c_ard_3-0-0_112067_2018-03-26_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-03-26 11:29:46	ga_ls8c_ard_3-0-0_112069_2018-03-26_final
2018-04-22 11:14:34	ga_ls8c_ard_3-0-0_109078_2018-04-22_final
2018-04-22 11:14:58	ga_ls8c_ard_3-0-0_109079_2018-04-22_final
2018-04-22 11:15:22	ga_ls8c_ard_3-0-0_109080_2018-04-22_final
2018-04-22 11:15:46	ga_ls8c_ard_3-0-0_109081_2018-04-22_final
2018-04-22 11:16:10	ga_ls8c_ard_3-0-0_109082_2018-04-22_final
2018-04-22 11:16:34	ga_ls8c_ard_3-0-0_109083_2018-04-22_final
2018-04-24 11:04:59	ga_ls8c_ard_3-0-0_107085_2018-04-24_final
2018-05-29 11:28:18	ga_ls8c_ard_3-0-0_112067_2018-05-29_final
2018-05-29 11:28:42	ga_ls8c_ard_3-0-0_112068_2018-05-29_final
2018-05-29 11:29:06	ga_ls8c_ard_3-0-0_112069_2018-05-29_final
2018-07-16 11:28:39	ga_ls8c_ard_3-0-0_112067_2018-07-16_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-07-16 11:29:27	ga_ls8c_ard_3-0-0_112069_2018-07-16_final
2022-01-25 11:24:15	ga_ls8c_ard_3-2-1_111069_2022-01-25_final
2022-01-25 11:24:39	ga_ls8c_ard_3-2-1_111070_2022-01-25_final
2022-01-25 11:25:03	ga_ls8c_ard_3-2-1_111071_2022-01-25_final
2022-01-25 11:25:27	ga_ls8c_ard_3-2-1_111072_2022-01-25_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-01-25 11:26:15	ga_ls8c_ard_3-2-1_111074_2022-01-25_final
2022-02-10 11:24:12	ga_ls8c_ard_3-2-1_111069_2022-02-10_final
2022-02-10 11:24:36	ga_ls8c_ard_3-2-1_111070_2022-02-10_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-02-10 11:25:24	ga_ls8c_ard_3-2-1_111072_2022-02-10_final
2022-02-10 11:25:48	ga_ls8c_ard_3-2-1_111073_2022-02-10_final
2022-02-10 11:26:12	ga_ls8c_ard_3-2-1_111074_2022-02-10_final
2022-02-12 11:15:25	ga_ls8c_ard_3-2-1_109078_2022-02-12_final
2022-02-12 11:15:49	ga_ls8c_ard_3-2-1_109079_2022-02-12_final
2022-02-12 11:16:13	ga_ls8c_ard_3-2-1_109080_2022-02-12_final
2022-02-12 11:16:37	ga_ls8c_ard_3-2-1_109081_2022-02-12_final
2022-02-12 11:17:01	ga_ls8c_ard_3-2-1_109082_2022-02-12_final
2022-02-12 11:17:25	ga_ls8c_ard_3-2-1_109083_2022-02-12_final
2022-02-26 11:24:07	ga_ls8c_ard_3-2-1_111069_2022-02-26_final
2022-02-26 11:24:31	ga_ls8c_ard_3-2-1_111070_2022-02-26_final
2022-02-26 11:24:55	ga_ls8c_ard_3-2-1_111071_2022-02-26_final
2022-02-26 11:25:19	ga_ls8c_ard_3-2-1_111072_2022-02-26_final
2022-02-26 11:25:43	ga_ls8c_ard_3-2-1_111073_2022-02-26_final
2022-02-26 11:26:07	ga_ls8c_ard_3-2-1_111074_2022-02-26_final
2022-02-28 11:15:21	ga_ls8c_ard_3-2-1_109078_2022-02-28_final
2022-02-28 11:15:44	ga_ls8c_ard_3-2-1_109079_2022-02-28_final
2022-02-28 11:16:08	ga_ls8c_ard_3-2-1_109080_2022-02-28_final
2022-02-28 11:16:32	ga_ls8c_ard_3-2-1_109081_2022-02-28_final
2022-02-28 11:16:56	ga_ls8c_ard_3-2-1_109082_2022-02-28_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