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 09:38:04	ga_ls8c_ard_3-0-0_094067_2014-07-07_final
2014-07-07 11:16:57	ga_ls8c_ard_3-0-0_110067_2014-07-07_final
2014-07-09 09:25:43	ga_ls8c_ard_3-0-0_092067_2014-07-08_final
2014-07-09 11:04:36	ga_ls8c_ard_3-0-0_108067_2014-07-09_final
2014-07-10 10:08:59	ga_ls8c_ard_3-0-0_099067_2014-07-10_final
2014-09-02 11:11:02	ga_ls8c_ard_3-0-0_109067_2014-09-02_final
2014-09-04 10:58:41	ga_ls8c_ard_3-0-0_107067_2014-09-04_final
2014-09-05 10:03:04	ga_ls8c_ard_3-0-0_098067_2014-09-05_final
2014-09-05 11:41:58	ga_ls8c_ard_3-0-0_114067_2014-09-05_final
2014-09-18 11:11:04	ga_ls8c_ard_3-0-0_109067_2014-09-18_final
2014-09-20 10:58:41	ga_ls8c_ard_3-0-0_107067_2014-09-20_final
2014-09-21 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-09-21_final
2014-12-25 10:58:40	ga_ls8c_ard_3-0-0_107067_2014-12-25_final
2014-12-26 10:03:03	ga_ls8c_ard_3-0-0_098067_2014-12-26_final
2014-12-26 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-12-26_final
2015-06-27 10:08:28	ga_ls8c_ard_3-0-0_099067_2015-06-27_final
2015-06-28 10:51:45	ga_ls8c_ard_3-0-0_106067_2015-06-28_final
2015-06-29 09:56:08	ga_ls8c_ard_3-0-0_097067_2015-06-29_final
2015-06-29 11:35:02	ga_ls8c_ard_3-0-0_113067_2015-06-29_final
2015-08-20 11:10:41	ga_ls8c_ard_3-0-0_109067_2015-08-20_final
2015-08-21 10:15:04	ga_ls8c_ard_3-0-0_100067_2015-08-21_final
2015-08-22 10:58:20	ga_ls8c_ard_3-0-0_107067_2015-08-22_final
2015-08-23 10:02:43	ga_ls8c_ard_3-0-0_098067_2015-08-23_final
2015-08-23 11:41:36	ga_ls8c_ard_3-0-0_114067_2015-08-23_final
2015-08-24 10:45:59	ga_ls8c_ard_3-0-0_105067_2015-08-24_final
2015-08-25 09:50:22	ga_ls8c_ard_3-0-0_096067_2015-08-25_final
2015-08-25 11:29:15	ga_ls8c_ard_3-0-0_112067_2015-08-25_final
2015-09-14 11:04:40	ga_ls8c_ard_3-0-0_108067_2015-09-14_final
2015-09-15 10:09:04	ga_ls8c_ard_3-0-0_099067_2015-09-15_final
2015-09-16 10:52:20	ga_ls8c_ard_3-0-0_106067_2015-09-16_final
2015-09-26 09:50:35	ga_ls8c_ard_3-0-0_096067_2015-09-26_final
2015-09-26 11:29:28	ga_ls8c_ard_3-0-0_112067_2015-09-26_final
2015-09-27 10:33:51	ga_ls8c_ard_3-0-0_103067_2015-09-27_final
2015-09-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2015-09-28_final
2015-10-28 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-10-28_final
2015-10-28 11:29:34	ga_ls8c_ard_3-0-0_112067_2015-10-28_final
2015-10-29 10:33:57	ga_ls8c_ard_3-0-0_103067_2015-10-29_final
2015-10-30 09:38:20	ga_ls8c_ard_3-0-0_094067_2015-10-30_final
2015-12-03 11:04:54	ga_ls8c_ard_3-0-0_108067_2015-12-03_final
2015-12-04 10:09:16	ga_ls8c_ard_3-0-0_099067_2015-12-04_final
2015-12-05 10:52:32	ga_ls8c_ard_3-0-0_106067_2015-12-05_final
2015-12-10 11:11:03	ga_ls8c_ard_3-0-0_109067_2015-12-10_final
2015-12-11 10:15:25	ga_ls8c_ard_3-0-0_100067_2015-12-11_final
2015-12-12 10:58:41	ga_ls8c_ard_3-0-0_107067_2015-12-12_final
2016-01-13 10:58:39	ga_ls8c_ard_3-0-0_107067_2016-01-13_final
2016-01-29 10:58:38	ga_ls8c_ard_3-0-0_107067_2016-01-29_final
2016-04-16 11:10:31	ga_ls8c_ard_3-0-0_109067_2016-04-16_final
2016-04-17 10:14:53	ga_ls8c_ard_3-0-0_100067_2016-04-17_final
2016-04-18 10:58:08	ga_ls8c_ard_3-0-0_107067_2016-04-18_final
2016-05-02 11:10:33	ga_ls8c_ard_3-0-0_109067_2016-05-02_final
2016-05-03 10:14:57	ga_ls8c_ard_3-0-0_100067_2016-05-03_final
2016-05-04 10:58:12	ga_ls8c_ard_3-0-0_107067_2016-05-04_final
2016-05-05 10:02:34	ga_ls8c_ard_3-0-0_098067_2016-05-05_final
2016-05-05 11:41:27	ga_ls8c_ard_3-0-0_114067_2016-05-05_final
2016-05-06 10:45:49	ga_ls8c_ard_3-0-0_105067_2016-05-06_final
2016-05-07 09:50:11	ga_ls8c_ard_3-0-0_096067_2016-05-07_final
2016-05-07 11:29:04	ga_ls8c_ard_3-0-0_112067_2016-05-07_final
2018-03-09 10:45:50	ga_ls8c_ard_3-0-0_105067_2018-03-09_final
2018-03-10 09:50:12	ga_ls8c_ard_3-0-0_096067_2018-03-10_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-04-25 10:02:10	ga_ls8c_ard_3-0-0_098067_2018-04-25_final
2018-04-25 11:41:03	ga_ls8c_ard_3-0-0_114067_2018-04-25_final
2018-04-26 10:45:25	ga_ls8c_ard_3-0-0_105067_2018-04-26_final
2018-04-27 09:49:48	ga_ls8c_ard_3-0-0_096067_2018-04-27_final
2018-04-27 11:28:41	ga_ls8c_ard_3-0-0_112067_2018-04-27_final
2022-01-24 10:40:12	ga_ls8c_ard_3-2-1_104067_2022-01-24_final
2022-02-07 10:52:31	ga_ls8c_ard_3-2-1_106067_2022-02-07_final
2022-02-07 12:31:24	ga_ls8c_ard_3-2-1_122067_2022-02-07_final
2022-02-08 09:56:53	ga_ls8c_ard_3-2-1_097067_2022-02-08_final
2022-02-09 10:40:09	ga_ls8c_ard_3-2-1_104067_2022-02-09_final
2022-02-11 10:27:46	ga_ls8c_ard_3-2-1_102067_2022-02-11_final
2022-02-14 12:37:32	ga_ls8c_ard_3-2-1_123067_2022-02-14_final
2022-03-20 10:46:05	ga_ls8c_ard_3-2-1_105067_2022-03-20_final
2022-03-26 10:08:55	ga_ls8c_ard_3-2-1_099067_2022-03-26_final
2022-03-27 10:52:10	ga_ls8c_ard_3-2-1_106067_2022-03-27_final
2022-03-27 12:31:03	ga_ls8c_ard_3-2-1_122067_2022-03-27_final
2022-03-28 09:56:32	ga_ls8c_ard_3-2-1_097067_2022-03-28_final
2022-03-29 10:39:47	ga_ls8c_ard_3-2-1_104067_2022-03-29_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2022-04-13 09:56:36	ga_ls8c_ard_3-2-1_097067_2022-04-13_final
2022-04-14 10:39:52	ga_ls8c_ard_3-2-1_104067_2022-04-14_final
2022-04-16 10:27:30	ga_ls8c_ard_3-2-1_102067_2022-04-16_final
2022-04-20 10:02:22	ga_ls8c_ard_3-2-1_098066_2022-04-20_final
2022-04-20 10:02:46	ga_ls8c_ard_3-2-1_098067_2022-04-20_final
2022-04-21 10:46:02	ga_ls8c_ard_3-2-1_105067_2022-04-21_final
2022-05-05 12:37:18	ga_ls8c_ard_3-2-1_123067_2022-05-05_final
2022-05-06 10:02:24	ga_ls8c_ard_3-2-1_098066_2022-05-06_final
2022-05-06 10:02:48	ga_ls8c_ard_3-2-1_098067_2022-05-06_final
2022-05-07 10:46:04	ga_ls8c_ard_3-2-1_105067_2022-05-07_final
2022-05-30 10:52:21	ga_ls8c_ard_3-2-1_106067_2022-05-30_final
2022-05-30 12:31:14	ga_ls8c_ard_3-2-1_122067_2022-05-30_final
2022-05-31 09:56:45	ga_ls8c_ard_3-2-1_097067_2022-05-31_final
2022-06-01 10:40:01	ga_ls8c_ard_3-2-1_104067_2022-06-01_final
2022-06-08 10:46:18	ga_ls8c_ard_3-2-1_105067_2022-06-08_final
2022-06-19 10:27:52	ga_ls8c_ard_3-2-1_102067_2022-06-19_final
2022-07-21 10:27:58	ga_ls8c_ard_3-2-1_102067_2022-07-21_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-07-25 10:02:54	ga_ls8c_ard_3-2-1_098066_2022-07-25_final
2022-07-25 10:03:18	ga_ls8c_ard_3-2-1_098067_2022-07-25_final
2022-07-26 10:46:34	ga_ls8c_ard_3-2-1_105067_2022-07-26_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