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
2014-07-07 11:19:20	ga_ls8c_ard_3-0-0_110073_2014-07-07_final
2014-07-07 11:19:44	ga_ls8c_ard_3-0-0_110074_2014-07-07_final
2014-07-07 11:20:08	ga_ls8c_ard_3-0-0_110075_2014-07-07_final
2014-07-07 11:20:32	ga_ls8c_ard_3-0-0_110076_2014-07-07_final
2014-07-07 11:20:56	ga_ls8c_ard_3-0-0_110077_2014-07-07_final
2014-07-07 11:21:20	ga_ls8c_ard_3-0-0_110078_2014-07-07_final
2014-07-07 11:21:44	ga_ls8c_ard_3-0-0_110079_2014-07-07_final
2014-07-09 11:10:35	ga_ls8c_ard_3-0-0_108082_2014-07-09_final
2014-07-09 11:10:59	ga_ls8c_ard_3-0-0_108083_2014-07-09_final
2014-07-09 11:11:23	ga_ls8c_ard_3-0-0_108084_2014-07-09_final
2014-08-24 11:19:35	ga_ls8c_ard_3-0-0_110073_2014-08-24_final
2014-08-24 11:19:59	ga_ls8c_ard_3-0-0_110074_2014-08-24_final
2014-08-24 11:20:23	ga_ls8c_ard_3-0-0_110075_2014-08-24_final
2014-08-24 11:20:47	ga_ls8c_ard_3-0-0_110076_2014-08-24_final
2014-08-24 11:21:11	ga_ls8c_ard_3-0-0_110077_2014-08-24_final
2014-08-24 11:21:35	ga_ls8c_ard_3-0-0_110078_2014-08-24_final
2014-08-24 11:21:59	ga_ls8c_ard_3-0-0_110079_2014-08-24_final
2014-12-28 11:29:32	ga_ls8c_ard_3-0-0_112067_2014-12-28_final
2014-12-28 11:29:56	ga_ls8c_ard_3-0-0_112068_2014-12-28_final
2014-12-28 11:30:20	ga_ls8c_ard_3-0-0_112069_2014-12-28_final
2014-12-30 11:19:33	ga_ls8c_ard_3-0-0_110073_2014-12-30_final
2014-12-30 11:19:57	ga_ls8c_ard_3-0-0_110074_2014-12-30_final
2014-12-30 11:20:21	ga_ls8c_ard_3-0-0_110075_2014-12-30_final
2014-12-30 11:20:45	ga_ls8c_ard_3-0-0_110076_2014-12-30_final
2014-12-30 11:21:08	ga_ls8c_ard_3-0-0_110077_2014-12-30_final
2014-12-30 11:21:32	ga_ls8c_ard_3-0-0_110078_2014-12-30_final
2014-12-30 11:21:56	ga_ls8c_ard_3-0-0_110079_2014-12-30_final
2015-09-19 11:23:39	ga_ls8c_ard_3-0-0_111068_2015-09-19_final
2015-09-19 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-09-19_final
2015-09-19 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-09-19_final
2015-09-19 11:24:51	ga_ls8c_ard_3-0-0_111071_2015-09-19_final
2015-09-19 11:25:15	ga_ls8c_ard_3-0-0_111072_2015-09-19_final
2015-09-19 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-09-19_final
2015-09-19 11:26:03	ga_ls8c_ard_3-0-0_111074_2015-09-19_final
2015-09-21 11:15:18	ga_ls8c_ard_3-0-0_109078_2015-09-21_final
2015-09-21 11:15:42	ga_ls8c_ard_3-0-0_109079_2015-09-21_final
2015-09-21 11:16:05	ga_ls8c_ard_3-0-0_109080_2015-09-21_final
2015-09-21 11:16:29	ga_ls8c_ard_3-0-0_109081_2015-09-21_final
2015-09-21 11:16:53	ga_ls8c_ard_3-0-0_109082_2015-09-21_final
2015-09-21 11:17:17	ga_ls8c_ard_3-0-0_109083_2015-09-21_final
2015-09-23 11:05:44	ga_ls8c_ard_3-0-0_107085_2015-09-23_final
2015-09-28 11:19:31	ga_ls8c_ard_3-0-0_110073_2015-09-28_final
2015-09-28 11:19:55	ga_ls8c_ard_3-0-0_110074_2015-09-28_final
2015-09-28 11:20:19	ga_ls8c_ard_3-0-0_110075_2015-09-28_final
2015-09-28 11:20:43	ga_ls8c_ard_3-0-0_110076_2015-09-28_final
2015-09-28 11:21:06	ga_ls8c_ard_3-0-0_110077_2015-09-28_final
2015-09-28 11:21:30	ga_ls8c_ard_3-0-0_110078_2015-09-28_final
2015-09-28 11:21:54	ga_ls8c_ard_3-1-0_110079_2015-09-28_final
2015-09-30 11:10:45	ga_ls8c_ard_3-0-0_108082_2015-09-30_final
2015-09-30 11:11:09	ga_ls8c_ard_3-0-0_108083_2015-09-30_final
2015-09-30 11:11:33	ga_ls8c_ard_3-0-0_108084_2015-09-30_final
2015-09-30 11:11:57	ga_ls8c_ard_3-0-0_108085_2015-09-30_final
2015-10-23 11:15:23	ga_ls8c_ard_3-0-0_109078_2015-10-23_final
2015-10-23 11:15:47	ga_ls8c_ard_3-0-0_109079_2015-10-23_final
2015-10-23 11:16:11	ga_ls8c_ard_3-0-0_109080_2015-10-23_final
2015-10-23 11:16:35	ga_ls8c_ard_3-0-0_109081_2015-10-23_final
2015-10-23 11:16:59	ga_ls8c_ard_3-0-0_109082_2015-10-23_final
2015-10-23 11:17:23	ga_ls8c_ard_3-0-0_109083_2015-10-23_final
2015-10-25 11:05:50	ga_ls8c_ard_3-0-0_107085_2015-10-25_final
2015-10-30 11:19:37	ga_ls8c_ard_3-0-0_110073_2015-10-30_final
2015-11-01 11:10:51	ga_ls8c_ard_3-0-0_108082_2015-11-01_final
2015-11-01 11:11:15	ga_ls8c_ard_3-0-0_108083_2015-11-01_final
2015-11-01 11:11:39	ga_ls8c_ard_3-0-0_108084_2015-11-01_final
2015-11-01 11:12:03	ga_ls8c_ard_3-0-0_108085_2015-11-01_final
2015-11-24 11:16:40	ga_ls8c_ard_3-0-0_109081_2015-11-24_final
2015-11-24 11:17:04	ga_ls8c_ard_3-0-0_109082_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-26 11:05:54	ga_ls8c_ard_3-0-0_107085_2015-11-26_final
2023-11-07 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-11-07_final
2023-11-07 11:11:18	ga_ls8c_ard_3-2-1_108083_2023-11-07_final
2023-11-07 11:11:42	ga_ls8c_ard_3-2-1_108084_2023-11-07_final
2024-03-19 11:23:28	ga_ls8c_ard_3-2-1_111068_2024-03-19_final
2024-03-19 11:23:52	ga_ls8c_ard_3-2-1_111069_2024-03-19_final
2024-03-19 11:24:16	ga_ls8c_ard_3-2-1_111070_2024-03-19_final
2024-03-19 11:24:40	ga_ls8c_ard_3-2-1_111071_2024-03-19_final
2024-03-19 11:25:04	ga_ls8c_ard_3-2-1_111072_2024-03-19_final
2024-03-19 11:25:28	ga_ls8c_ard_3-2-1_111073_2024-03-19_final
2024-03-19 11:25:52	ga_ls8c_ard_3-2-1_111074_2024-03-19_final
2024-03-21 11:15:04	ga_ls8c_ard_3-2-1_109078_2024-03-21_final
2024-03-21 11:15:28	ga_ls8c_ard_3-2-1_109079_2024-03-21_final
2024-03-21 11:15:52	ga_ls8c_ard_3-2-1_109080_2024-03-21_final
2024-03-21 11:16:16	ga_ls8c_ard_3-2-1_109081_2024-03-21_final
2024-03-21 11:16:40	ga_ls8c_ard_3-2-1_109082_2024-03-21_final
2024-03-21 11:17:04	ga_ls8c_ard_3-2-1_109083_2024-03-21_final
2024-03-28 11:19:06	ga_ls8c_ard_3-2-1_110073_2024-03-28_final
2024-03-28 11:19:30	ga_ls8c_ard_3-2-1_110074_2024-03-28_final
2024-03-28 11:19:54	ga_ls8c_ard_3-2-1_110075_2024-03-28_final
2024-03-28 11:20:18	ga_ls8c_ard_3-2-1_110076_2024-03-28_final
2024-03-28 11:20:41	ga_ls8c_ard_3-2-1_110077_2024-03-28_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-03-28 11:21:29	ga_ls8c_ard_3-2-1_110079_2024-03-28_final
2024-03-30 11:10:20	ga_ls8c_ard_3-2-1_108082_2024-03-30_final
2024-03-30 11:10:44	ga_ls8c_ard_3-2-1_108083_2024-03-30_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_final
2024-04-04 11:23:42	ga_ls8c_ard_3-2-1_111069_2024-04-04_final
2024-04-04 11:24:06	ga_ls8c_ard_3-2-1_111070_2024-04-04_final
2024-04-04 11:24:30	ga_ls8c_ard_3-2-1_111071_2024-04-04_final
2024-04-04 11:24:54	ga_ls8c_ard_3-2-1_111072_2024-04-04_final
2024-04-04 11:25:18	ga_ls8c_ard_3-2-1_111073_2024-04-04_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