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
2013-11-05 10:06:17	ga_ls8c_ard_3-0-0_098071_2013-11-05_final
2013-11-05 10:06:41	ga_ls8c_ard_3-0-0_098072_2013-11-05_final
2013-11-05 10:07:05	ga_ls8c_ard_3-0-0_098073_2013-11-05_final
2013-11-05 10:07:29	ga_ls8c_ard_3-0-0_098074_2013-11-05_final
2013-11-05 10:07:53	ga_ls8c_ard_3-0-0_098075_2013-11-05_final
2013-11-05 10:08:17	ga_ls8c_ard_3-0-0_098076_2013-11-05_final
2013-11-05 10:08:41	ga_ls8c_ard_3-0-0_098077_2013-11-05_final
2013-11-07 09:57:31	ga_ls8c_ard_3-0-0_096080_2013-11-07_final
2013-11-07 09:57:55	ga_ls8c_ard_3-0-0_096081_2013-11-07_final
2013-11-07 09:58:19	ga_ls8c_ard_3-0-0_096082_2013-11-07_final
2013-11-30 10:01:59	ga_ls8c_ard_3-0-0_097076_2013-11-30_final
2013-11-30 10:02:23	ga_ls8c_ard_3-0-0_097077_2013-11-30_final
2013-11-30 10:02:47	ga_ls8c_ard_3-0-0_097078_2013-11-30_final
2013-11-30 10:03:11	ga_ls8c_ard_3-0-0_097079_2013-11-30_final
2013-11-30 10:03:35	ga_ls8c_ard_3-0-0_097080_2013-11-30_final
2013-11-30 10:03:58	ga_ls8c_ard_3-0-0_097081_2013-11-30_final
2013-12-02 09:52:49	ga_ls8c_ard_3-0-0_095084_2013-12-02_final
2013-12-02 09:53:13	ga_ls8c_ard_3-0-0_095085_2013-12-02_final
2013-12-02 09:53:37	ga_ls8c_ard_3-0-0_095086_2013-12-02_final
2013-12-02 09:54:01	ga_ls8c_ard_3-0-0_095087_2013-12-02_final
2013-12-16 10:01:53	ga_ls8c_ard_3-0-0_097076_2013-12-16_final
2013-12-16 10:02:17	ga_ls8c_ard_3-0-0_097077_2013-12-16_final
2014-01-17 10:01:30	ga_ls8c_ard_3-0-0_097076_2014-01-17_final
2014-01-17 10:01:54	ga_ls8c_ard_3-0-0_097077_2014-01-17_final
2014-01-17 10:02:18	ga_ls8c_ard_3-0-0_097078_2014-01-17_final
2014-01-17 10:02:42	ga_ls8c_ard_3-0-0_097079_2014-01-17_final
2014-01-17 10:03:06	ga_ls8c_ard_3-0-0_097080_2014-01-17_final
2014-01-17 10:03:30	ga_ls8c_ard_3-0-0_097081_2014-01-17_final
2014-01-19 09:52:20	ga_ls8c_ard_3-0-0_095084_2014-01-19_final
2014-01-19 09:52:44	ga_ls8c_ard_3-0-0_095085_2014-01-19_final
2014-01-19 09:53:08	ga_ls8c_ard_3-0-0_095086_2014-01-19_final
2014-01-19 09:53:32	ga_ls8c_ard_3-0-0_095087_2014-01-19_final
2014-02-02 10:01:25	ga_ls8c_ard_3-0-0_097076_2014-02-02_final
2014-02-02 10:01:49	ga_ls8c_ard_3-0-0_097077_2014-02-02_final
2014-02-02 10:03:00	ga_ls8c_ard_3-0-0_097080_2014-02-02_final
2014-02-02 10:03:24	ga_ls8c_ard_3-0-0_097081_2014-02-02_final
2014-02-04 09:52:13	ga_ls8c_ard_3-0-0_095084_2014-02-04_final
2014-02-04 09:52:37	ga_ls8c_ard_3-0-0_095085_2014-02-04_final
2014-02-04 09:53:01	ga_ls8c_ard_3-0-0_095086_2014-02-04_final
2014-02-04 09:53:25	ga_ls8c_ard_3-0-0_095087_2014-02-04_final
2018-07-02 09:45:16	ga_ls8c_ard_3-0-0_094087_2018-07-02_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2020-03-15 09:55:38	ga_ls8c_ard_3-1-0_096080_2020-03-15_final
2020-03-15 09:56:02	ga_ls8c_ard_3-1-0_096081_2020-03-15_final
2020-03-15 09:56:26	ga_ls8c_ard_3-1-0_096082_2020-03-15_final
2020-03-15 09:56:50	ga_ls8c_ard_3-1-0_096083_2020-03-15_final
2020-03-15 09:57:14	ga_ls8c_ard_3-1-0_096084_2020-03-15_final
2020-03-15 09:57:38	ga_ls8c_ard_3-1-0_096085_2020-03-15_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-05-02 09:55:14	ga_ls8c_ard_3-1-0_096080_2020-05-02_final
2020-05-02 09:55:38	ga_ls8c_ard_3-1-0_096081_2020-05-02_final
2020-05-02 09:56:02	ga_ls8c_ard_3-1-0_096082_2020-05-02_final
2020-05-02 09:56:26	ga_ls8c_ard_3-1-0_096083_2020-05-02_final
2020-05-02 09:56:50	ga_ls8c_ard_3-1-0_096084_2020-05-02_final
2020-05-02 09:57:14	ga_ls8c_ard_3-1-0_096085_2020-05-02_final
2020-05-04 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-04_final
2020-05-04 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-04_final
2022-03-26 10:08:32	ga_ls8c_ard_3-2-1_099066_2022-03-26_final
2022-03-26 10:08:55	ga_ls8c_ard_3-2-1_099067_2022-03-26_final
2022-03-26 10:09:19	ga_ls8c_ard_3-2-1_099068_2022-03-26_final
2022-03-26 10:09:43	ga_ls8c_ard_3-2-1_099069_2022-03-26_final
2022-03-26 10:10:07	ga_ls8c_ard_3-2-1_099070_2022-03-26_final
2022-03-26 10:10:31	ga_ls8c_ard_3-2-1_099071_2022-03-26_final
2022-03-26 10:10:55	ga_ls8c_ard_3-2-1_099072_2022-03-26_final
2022-03-28 10:00:07	ga_ls8c_ard_3-2-1_097076_2022-03-28_final
2022-03-28 10:00:31	ga_ls8c_ard_3-2-1_097077_2022-03-28_final
2022-03-28 10:00:55	ga_ls8c_ard_3-2-1_097078_2022-03-28_final
2022-03-28 10:01:19	ga_ls8c_ard_3-2-1_097079_2022-03-28_final
2022-03-28 10:01:43	ga_ls8c_ard_3-2-1_097080_2022-03-28_final
2022-03-28 10:02:07	ga_ls8c_ard_3-2-1_097081_2022-03-28_final
2022-03-30 09:50:56	ga_ls8c_ard_3-2-1_095084_2022-03-30_final
2022-03-30 09:51:20	ga_ls8c_ard_3-2-1_095085_2022-03-30_final
2022-03-30 09:51:44	ga_ls8c_ard_3-2-1_095086_2022-03-30_final
2022-03-30 09:52:08	ga_ls8c_ard_3-2-1_095087_2022-03-30_final
2022-05-15 10:00:17	ga_ls8c_ard_3-2-1_097076_2022-05-15_final
2022-05-15 10:00:41	ga_ls8c_ard_3-2-1_097077_2022-05-15_final
2022-05-15 10:01:05	ga_ls8c_ard_3-2-1_097078_2022-05-15_final
2022-05-15 10:01:29	ga_ls8c_ard_3-2-1_097079_2022-05-15_final
2022-05-15 10:01:53	ga_ls8c_ard_3-2-1_097080_2022-05-15_final
2022-05-15 10:02:17	ga_ls8c_ard_3-2-1_097081_2022-05-15_final
2022-05-17 09:51:08	ga_ls8c_ard_3-2-1_095084_2022-05-17_final
2022-05-17 09:51:32	ga_ls8c_ard_3-2-1_095085_2022-05-17_final
2022-05-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2022-05-17_final
2022-05-17 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-05-17_final
2022-07-16 10:08:57	ga_ls8c_ard_3-2-1_099066_2022-07-16_final
2022-07-16 10:09:21	ga_ls8c_ard_3-2-1_099067_2022-07-16_final
2022-07-16 10:09:45	ga_ls8c_ard_3-2-1_099068_2022-07-16_final
2022-07-16 10:10:09	ga_ls8c_ard_3-2-1_099069_2022-07-16_final
2022-07-16 10:10:33	ga_ls8c_ard_3-2-1_099070_2022-07-16_final
2022-07-16 10:10:57	ga_ls8c_ard_3-2-1_099071_2022-07-16_final
2022-07-16 10:11:21	ga_ls8c_ard_3-2-1_099072_2022-07-16_final
2022-07-18 10:00:37	ga_ls8c_ard_3-2-1_097076_2022-07-18_final
2022-07-18 10:01:01	ga_ls8c_ard_3-2-1_097077_2022-07-18_final
2022-07-18 10:01:25	ga_ls8c_ard_3-2-1_097078_2022-07-18_final
2022-07-18 10:01:48	ga_ls8c_ard_3-2-1_097079_2022-07-18_final
2022-07-18 10:02:12	ga_ls8c_ard_3-2-1_097080_2022-07-18_final
2022-07-18 10:02:36	ga_ls8c_ard_3-2-1_097081_2022-07-18_final
2022-07-20 09:51:28	ga_ls8c_ard_3-2-1_095084_2022-07-20_final
2022-07-20 09:51:52	ga_ls8c_ard_3-2-1_095085_2022-07-20_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_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