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
2013-10-13 10:02:14	ga_ls8c_ard_3-0-0_097076_2013-10-13_final
2013-10-13 10:02:38	ga_ls8c_ard_3-0-0_097077_2013-10-13_final
2013-10-13 10:03:02	ga_ls8c_ard_3-0-0_097078_2013-10-13_final
2013-10-13 10:03:26	ga_ls8c_ard_3-0-0_097079_2013-10-13_final
2013-10-15 09:53:27	ga_ls8c_ard_3-0-0_095085_2013-10-15_final
2013-10-15 09:53:51	ga_ls8c_ard_3-0-0_095086_2013-10-15_final
2013-10-22 09:57:11	ga_ls8c_ard_3-0-0_096079_2013-10-22_final
2013-10-22 09:58:22	ga_ls8c_ard_3-0-0_096082_2013-10-22_final
2013-10-22 09:58:46	ga_ls8c_ard_3-0-0_096083_2013-10-22_final
2013-10-22 09:59:10	ga_ls8c_ard_3-0-0_096084_2013-10-22_final
2013-10-22 09:59:34	ga_ls8c_ard_3-0-0_096085_2013-10-22_final
2013-10-24 09:47:59	ga_ls8c_ard_3-0-0_094087_2013-10-24_final
2013-10-27 10:10:28	ga_ls8c_ard_3-2-1_099066_2013-10-27_final
2013-10-27 10:12:03	ga_ls8c_ard_3-0-0_099070_2013-10-27_final
2013-10-27 10:12:27	ga_ls8c_ard_3-0-0_099071_2013-10-27_final
2013-10-27 10:12:51	ga_ls8c_ard_3-0-0_099072_2013-10-27_final
2013-10-29 10:01:40	ga_ls8c_ard_3-0-0_097075_2013-10-29_final
2013-10-29 10:02:04	ga_ls8c_ard_3-0-0_097076_2013-10-29_final
2013-10-29 10:02:28	ga_ls8c_ard_3-0-0_097077_2013-10-29_final
2013-10-29 10:02:52	ga_ls8c_ard_3-0-0_097078_2013-10-29_final
2013-10-29 10:03:16	ga_ls8c_ard_3-0-0_097079_2013-10-29_final
2013-10-29 10:03:40	ga_ls8c_ard_3-0-0_097080_2013-10-29_final
2013-10-29 10:04:04	ga_ls8c_ard_3-0-0_097081_2013-10-29_final
2014-01-12 09:47:26	ga_ls8c_ard_3-0-0_094087_2014-01-12_final
2014-01-15 10:10:17	ga_ls8c_ard_3-0-0_099067_2014-01-15_final
2014-01-15 10:10:41	ga_ls8c_ard_3-0-0_099068_2014-01-15_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-01-15 10:11:29	ga_ls8c_ard_3-0-0_099070_2014-01-15_final
2014-01-15 10:11:53	ga_ls8c_ard_3-0-0_099071_2014-01-15_final
2014-01-15 10:12:17	ga_ls8c_ard_3-0-0_099072_2014-01-15_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-01-31 10:10:12	ga_ls8c_ard_3-0-0_099067_2014-01-31_final
2014-01-31 10:10:36	ga_ls8c_ard_3-0-0_099068_2014-01-31_final
2014-01-31 10:11:00	ga_ls8c_ard_3-0-0_099069_2014-01-31_final
2014-01-31 10:11:24	ga_ls8c_ard_3-0-0_099070_2014-01-31_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-02-02 10:01:01	ga_ls8c_ard_3-0-0_097075_2014-02-02_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 09:51:49	ga_ls8c_ard_3-0-0_095083_2014-02-04_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
2015-08-23 10:04:19	ga_ls8c_ard_3-0-0_098071_2015-08-23_final
2015-08-23 10:04:43	ga_ls8c_ard_3-0-0_098072_2015-08-23_final
2015-08-23 10:05:07	ga_ls8c_ard_3-0-0_098073_2015-08-23_final
2015-08-23 10:05:31	ga_ls8c_ard_3-0-0_098074_2015-08-23_final
2015-08-23 10:05:55	ga_ls8c_ard_3-0-0_098075_2015-08-23_final
2015-08-23 10:06:18	ga_ls8c_ard_3-0-0_098076_2015-08-23_final
2015-09-24 10:04:32	ga_ls8c_ard_3-0-0_098071_2015-09-24_final
2015-09-24 10:04:56	ga_ls8c_ard_3-0-0_098072_2015-09-24_final
2015-09-24 10:05:20	ga_ls8c_ard_3-0-0_098073_2015-09-24_final
2015-09-24 10:05:44	ga_ls8c_ard_3-0-0_098074_2015-09-24_final
2015-09-24 10:06:08	ga_ls8c_ard_3-0-0_098075_2015-09-24_final
2015-09-24 10:06:32	ga_ls8c_ard_3-0-0_098076_2015-09-24_final
2019-06-29 10:15:12	ga_ls8c_ard_3-1-0_100067_2019-06-29_final
2019-08-13 09:50:55	ga_ls8c_ard_3-1-0_095083_2019-08-13_final
2019-08-13 09:51:19	ga_ls8c_ard_3-1-0_095084_2019-08-13_final
2019-08-13 09:51:43	ga_ls8c_ard_3-1-0_095085_2019-08-13_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-13 09:52:55	ga_ls8c_ard_3-1-0_095088_2019-08-13_final
2019-08-16 10:15:27	ga_ls8c_ard_3-1-0_100067_2019-08-16_final
2019-09-30 09:51:09	ga_ls8c_ard_3-1-0_095083_2019-09-30_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-09-30 09:51:56	ga_ls8c_ard_3-1-0_095085_2019-09-30_final
2019-09-30 09:52:20	ga_ls8c_ard_3-1-0_095086_2019-09-30_final
2019-09-30 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-09-30_final
2019-09-30 09:53:08	ga_ls8c_ard_3-1-0_095088_2019-09-30_final
2020-10-07 10:04:52	ga_ls8c_ard_3-1-0_098071_2020-10-07_final
2020-10-07 10:05:16	ga_ls8c_ard_3-1-0_098072_2020-10-07_final
2020-10-07 10:05:40	ga_ls8c_ard_3-1-0_098073_2020-10-07_final
2020-10-07 10:06:04	ga_ls8c_ard_3-1-0_098074_2020-10-07_final
2020-10-07 10:06:28	ga_ls8c_ard_3-1-0_098075_2020-10-07_final
2020-10-07 10:06:52	ga_ls8c_ard_3-1-0_098076_2020-10-07_final
2020-10-14 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-10-14_final
2020-10-14 10:09:28	ga_ls8c_ard_3-1-0_099067_2020-10-14_final
2020-10-14 10:09:52	ga_ls8c_ard_3-1-0_099068_2020-10-14_final
2020-10-14 10:10:16	ga_ls8c_ard_3-1-0_099069_2020-10-14_final
2020-10-14 10:10:40	ga_ls8c_ard_3-1-0_099070_2020-10-14_final
2020-10-14 10:11:04	ga_ls8c_ard_3-1-0_099071_2020-10-14_final
2020-11-01 10:00:17	ga_ls8c_ard_3-1-0_097075_2020-11-01_final
2020-11-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2020-11-01_final
2020-11-01 10:01:05	ga_ls8c_ard_3-1-0_097077_2020-11-01_final
2020-11-01 10:01:28	ga_ls8c_ard_3-1-0_097078_2020-11-01_final
2020-11-01 10:01:52	ga_ls8c_ard_3-1-0_097079_2020-11-01_final
2020-11-01 10:02:16	ga_ls8c_ard_3-1-0_097080_2020-11-01_final
2020-11-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2020-11-01_final
2020-11-22 10:15:38	ga_ls8c_ard_3-1-0_100067_2020-11-22_final
2020-12-10 10:04:54	ga_ls8c_ard_3-1-0_098071_2020-12-10_final
2020-12-10 10:05:18	ga_ls8c_ard_3-1-0_098072_2020-12-10_final
2020-12-10 10:05:42	ga_ls8c_ard_3-1-0_098073_2020-12-10_final
2020-12-21 09:51:07	ga_ls8c_ard_3-2-0_095083_2020-12-21_final
2020-12-21 09:51:31	ga_ls8c_ard_3-2-0_095084_2020-12-21_final
2020-12-21 09:51:55	ga_ls8c_ard_3-2-0_095085_2020-12-21_final
2020-12-21 09:52:19	ga_ls8c_ard_3-2-0_095086_2020-12-21_final
2020-12-21 09:52:43	ga_ls8c_ard_3-2-0_095087_2020-12-21_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