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
2015-12-06 10:00:06	ga_ls8c_ard_3-0-0_097075_2015-12-06_final
2015-12-06 10:00:30	ga_ls8c_ard_3-0-0_097076_2015-12-06_final
2015-12-06 10:00:53	ga_ls8c_ard_3-0-0_097077_2015-12-06_final
2015-12-06 10:01:17	ga_ls8c_ard_3-0-0_097078_2015-12-06_final
2015-12-06 10:01:41	ga_ls8c_ard_3-0-0_097079_2015-12-06_final
2015-12-06 10:02:05	ga_ls8c_ard_3-0-0_097080_2015-12-06_final
2015-12-06 10:02:29	ga_ls8c_ard_3-0-0_097081_2015-12-06_final
2015-12-08 09:50:55	ga_ls8c_ard_3-0-0_095083_2015-12-08_final
2015-12-08 09:51:19	ga_ls8c_ard_3-0-0_095084_2015-12-08_final
2015-12-08 09:51:43	ga_ls8c_ard_3-0-0_095085_2015-12-08_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-08 09:52:31	ga_ls8c_ard_3-0-0_095087_2015-12-08_final
2015-12-08 09:52:55	ga_ls8c_ard_3-0-0_095088_2015-12-08_final
2015-12-11 10:15:25	ga_ls8c_ard_3-0-0_100067_2015-12-11_final
2015-12-20 10:08:52	ga_ls8c_ard_3-2-1_099066_2015-12-20_final
2015-12-20 10:09:16	ga_ls8c_ard_3-0-0_099067_2015-12-20_final
2015-12-20 10:09:40	ga_ls8c_ard_3-0-0_099068_2015-12-20_final
2015-12-20 10:10:04	ga_ls8c_ard_3-0-0_099069_2015-12-20_final
2015-12-20 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-20_final
2015-12-20 10:10:52	ga_ls8c_ard_3-0-0_099071_2015-12-20_final
2015-12-22 10:00:06	ga_ls8c_ard_3-0-0_097075_2015-12-22_final
2015-12-22 10:00:30	ga_ls8c_ard_3-0-0_097076_2015-12-22_final
2015-12-22 10:00:54	ga_ls8c_ard_3-0-0_097077_2015-12-22_final
2015-12-22 10:01:18	ga_ls8c_ard_3-0-0_097078_2015-12-22_final
2015-12-22 10:01:42	ga_ls8c_ard_3-0-0_097079_2015-12-22_final
2015-12-22 10:02:06	ga_ls8c_ard_3-0-0_097080_2015-12-22_final
2015-12-22 10:02:30	ga_ls8c_ard_3-0-0_097081_2015-12-22_final
2016-04-05 09:55:01	ga_ls8c_ard_3-0-0_096079_2016-04-05_final
2016-04-05 09:55:25	ga_ls8c_ard_3-0-0_096080_2016-04-05_final
2016-04-05 09:55:49	ga_ls8c_ard_3-0-0_096081_2016-04-05_final
2016-04-05 09:56:13	ga_ls8c_ard_3-0-0_096082_2016-04-05_final
2016-04-05 09:56:37	ga_ls8c_ard_3-0-0_096083_2016-04-05_final
2016-04-07 09:45:50	ga_ls8c_ard_3-0-0_094087_2016-04-07_final
2016-04-07 09:46:14	ga_ls8c_ard_3-0-0_094088_2016-04-07_final
2016-04-23 09:45:44	ga_ls8c_ard_3-0-0_094087_2016-04-23_final
2016-04-23 09:46:08	ga_ls8c_ard_3-0-0_094088_2016-04-23_final
2019-06-19 09:46:03	ga_ls8c_ard_3-1-0_094087_2019-06-19_final
2019-06-19 09:46:27	ga_ls8c_ard_3-1-0_094088_2019-06-19_final
2019-07-03 09:55:17	ga_ls8c_ard_3-1-0_096079_2019-07-03_final
2019-07-03 09:55:41	ga_ls8c_ard_3-1-0_096080_2019-07-03_final
2019-07-03 09:56:05	ga_ls8c_ard_3-1-0_096081_2019-07-03_final
2019-07-03 09:56:29	ga_ls8c_ard_3-1-0_096082_2019-07-03_final
2019-07-03 09:56:53	ga_ls8c_ard_3-1-0_096083_2019-07-03_final
2019-07-03 09:57:17	ga_ls8c_ard_3-1-0_096084_2019-07-03_final
2019-07-03 09:57:41	ga_ls8c_ard_3-1-0_096085_2019-07-03_final
2019-07-05 09:46:08	ga_ls8c_ard_3-1-0_094087_2019-07-05_final
2019-07-05 09:46:32	ga_ls8c_ard_3-1-0_094088_2019-07-05_final
2019-07-17 10:04:30	ga_ls8c_ard_3-1-0_098071_2019-07-17_final
2019-07-17 10:04:53	ga_ls8c_ard_3-1-0_098072_2019-07-17_final
2019-07-17 10:05:17	ga_ls8c_ard_3-1-0_098073_2019-07-17_final
2019-07-17 10:05:41	ga_ls8c_ard_3-1-0_098074_2019-07-17_final
2019-07-17 10:06:05	ga_ls8c_ard_3-1-0_098075_2019-07-17_final
2019-07-17 10:06:29	ga_ls8c_ard_3-1-0_098076_2019-07-17_final
2019-07-24 10:09:07	ga_ls8c_ard_3-1-0_099067_2019-07-24_final
2019-07-24 10:09:31	ga_ls8c_ard_3-1-0_099068_2019-07-24_final
2019-07-24 10:09:55	ga_ls8c_ard_3-1-0_099069_2019-07-24_final
2019-07-24 10:10:19	ga_ls8c_ard_3-1-0_099070_2019-07-24_final
2019-07-24 10:10:43	ga_ls8c_ard_3-1-0_099071_2019-07-24_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-06 09:46:42	ga_ls8c_ard_3-1-0_094088_2019-08-06_final
2019-08-20 09:55:32	ga_ls8c_ard_3-1-0_096079_2019-08-20_final
2019-08-20 09:55:56	ga_ls8c_ard_3-1-0_096080_2019-08-20_final
2019-08-20 09:56:20	ga_ls8c_ard_3-1-0_096081_2019-08-20_final
2019-08-20 09:56:44	ga_ls8c_ard_3-1-0_096082_2019-08-20_final
2019-08-20 09:57:08	ga_ls8c_ard_3-1-0_096083_2019-08-20_final
2019-08-20 09:57:32	ga_ls8c_ard_3-1-0_096084_2019-08-20_final
2019-08-20 09:57:56	ga_ls8c_ard_3-1-0_096085_2019-08-20_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-22 09:46:46	ga_ls8c_ard_3-1-0_094088_2019-08-22_final
2019-10-05 10:04:55	ga_ls8c_ard_3-1-0_098071_2019-10-05_final
2019-10-05 10:05:19	ga_ls8c_ard_3-1-0_098072_2019-10-05_final
2019-10-05 10:05:43	ga_ls8c_ard_3-1-0_098073_2019-10-05_final
2019-10-05 10:06:07	ga_ls8c_ard_3-1-0_098074_2019-10-05_final
2019-10-05 10:06:30	ga_ls8c_ard_3-1-0_098075_2019-10-05_final
2019-10-05 10:06:54	ga_ls8c_ard_3-1-0_098076_2019-10-05_final
2019-10-07 09:55:45	ga_ls8c_ard_3-1-0_096079_2019-10-07_final
2019-10-07 09:56:09	ga_ls8c_ard_3-1-0_096080_2019-10-07_final
2019-10-07 09:56:33	ga_ls8c_ard_3-1-0_096081_2019-10-07_final
2019-10-07 09:56:57	ga_ls8c_ard_3-1-0_096082_2019-10-07_final
2019-10-07 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-10-07_final
2019-10-07 09:57:45	ga_ls8c_ard_3-1-0_096084_2019-10-07_final
2019-10-07 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-10-07_final
2019-10-21 10:04:56	ga_ls8c_ard_3-1-0_098071_2019-10-21_final
2019-10-21 10:05:20	ga_ls8c_ard_3-1-0_098072_2019-10-21_final
2019-10-21 10:05:44	ga_ls8c_ard_3-1-0_098073_2019-10-21_final
2019-10-21 10:06:08	ga_ls8c_ard_3-1-0_098074_2019-10-21_final
2019-10-21 10:06:32	ga_ls8c_ard_3-1-0_098075_2019-10-21_final
2019-10-21 10:06:56	ga_ls8c_ard_3-1-0_098076_2019-10-21_final
2023-02-02 10:04:56	ga_ls8c_ard_3-2-1_098071_2023-02-02_final
2023-02-02 10:05:20	ga_ls8c_ard_3-2-1_098072_2023-02-02_final
2023-02-02 10:05:44	ga_ls8c_ard_3-2-1_098073_2023-02-02_final
2023-02-02 10:06:07	ga_ls8c_ard_3-2-1_098074_2023-02-02_final
2023-02-02 10:06:31	ga_ls8c_ard_3-2-1_098075_2023-02-02_final
2023-02-02 10:06:55	ga_ls8c_ard_3-2-1_098076_2023-02-02_final
2023-02-04 09:55:45	ga_ls8c_ard_3-2-1_096079_2023-02-04_final
2023-02-04 09:56:09	ga_ls8c_ard_3-2-1_096080_2023-02-04_final
2023-02-04 09:56:33	ga_ls8c_ard_3-2-1_096081_2023-02-04_final
2023-02-04 09:56:57	ga_ls8c_ard_3-2-1_096082_2023-02-04_final
2023-02-04 09:57:21	ga_ls8c_ard_3-2-1_096083_2023-02-04_final
2023-02-04 09:57:45	ga_ls8c_ard_3-2-1_096084_2023-02-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years