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
2013-12-22 11:01:37	ga_ls8c_ard_3-0-0_107071_2013-12-22_final
2013-12-23 10:06:00	ga_ls8c_ard_3-0-0_098071_2013-12-23_final
2013-12-26 10:36:53	ga_ls8c_ard_3-0-0_103071_2013-12-26_final
2013-12-28 10:24:31	ga_ls8c_ard_3-0-0_101071_2013-12-28_final
2014-04-21 10:10:37	ga_ls8c_ard_3-0-0_099071_2014-04-21_final
2014-04-22 10:53:52	ga_ls8c_ard_3-0-0_106071_2014-04-22_final
2015-02-25 09:33:27	ga_ls8c_ard_3-0-0_093071_2015-02-25_final
2015-02-25 11:12:20	ga_ls8c_ard_3-0-0_109071_2015-02-25_final
2015-02-26 10:16:42	ga_ls8c_ard_3-0-0_100071_2015-02-26_final
2015-02-27 10:59:57	ga_ls8c_ard_3-0-0_107071_2015-02-27_final
2015-05-09 09:26:33	ga_ls8c_ard_3-0-0_092071_2015-05-08_final
2015-05-09 11:05:26	ga_ls8c_ard_3-0-0_108071_2015-05-09_final
2015-05-10 10:09:48	ga_ls8c_ard_3-0-0_099071_2015-05-10_final
2015-05-11 10:53:03	ga_ls8c_ard_3-0-0_106071_2015-05-11_final
2015-06-01 09:32:45	ga_ls8c_ard_3-0-0_093071_2015-06-01_final
2015-06-01 11:11:15	ga_ls8c_ard_3-0-0_109070_2015-06-01_final
2015-06-01 11:11:39	ga_ls8c_ard_3-0-0_109071_2015-06-01_final
2015-06-02 10:15:38	ga_ls8c_ard_3-0-0_100070_2015-06-02_final
2015-06-02 10:16:02	ga_ls8c_ard_3-0-0_100071_2015-06-02_final
2015-06-03 10:58:55	ga_ls8c_ard_3-0-0_107070_2015-06-03_final
2015-06-03 10:59:19	ga_ls8c_ard_3-0-0_107071_2015-06-03_final
2015-06-17 09:32:56	ga_ls8c_ard_3-0-0_093071_2015-06-17_final
2015-06-18 10:15:49	ga_ls8c_ard_3-0-0_100070_2015-06-18_final
2015-06-19 10:59:04	ga_ls8c_ard_3-0-0_107070_2015-06-19_final
2015-06-19 10:59:28	ga_ls8c_ard_3-0-0_107071_2015-06-19_final
2016-07-30 09:27:29	ga_ls8c_ard_3-0-0_092071_2016-07-29_final
2016-07-30 11:05:58	ga_ls8c_ard_3-0-0_108070_2016-07-30_final
2016-07-30 11:06:22	ga_ls8c_ard_3-0-0_108071_2016-07-30_final
2016-07-31 10:10:44	ga_ls8c_ard_3-0-0_099071_2016-07-31_final
2016-08-01 10:54:00	ga_ls8c_ard_3-0-0_106071_2016-08-01_final
2016-08-08 11:00:12	ga_ls8c_ard_3-0-0_107071_2016-08-08_final
2016-09-06 10:29:04	ga_ls8c_ard_3-0-0_102070_2016-09-06_final
2016-09-06 10:29:28	ga_ls8c_ard_3-0-0_102071_2016-09-06_final
2016-09-07 09:33:51	ga_ls8c_ard_3-0-0_093071_2016-09-07_final
2016-09-07 11:12:44	ga_ls8c_ard_3-0-0_109071_2016-09-07_final
2016-09-08 10:16:43	ga_ls8c_ard_3-0-0_100070_2016-09-08_final
2016-09-08 10:17:07	ga_ls8c_ard_3-0-0_100071_2016-09-08_final
2016-09-09 11:00:23	ga_ls8c_ard_3-0-0_107071_2016-09-09_final
2016-09-29 10:35:16	ga_ls8c_ard_3-0-0_103070_2016-09-29_final
2016-09-29 10:35:40	ga_ls8c_ard_3-0-0_103071_2016-09-29_final
2016-09-30 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-30_final
2016-09-30 11:18:56	ga_ls8c_ard_3-0-0_110071_2016-09-30_final
2016-10-01 10:22:55	ga_ls8c_ard_3-0-0_101070_2016-10-01_final
2016-10-01 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-10-01_final
2016-10-02 09:27:43	ga_ls8c_ard_3-0-0_092071_2016-10-01_final
2016-10-02 11:06:36	ga_ls8c_ard_3-0-0_108071_2016-10-02_final
2016-10-09 09:33:56	ga_ls8c_ard_3-0-0_093071_2016-10-09_final
2016-10-09 11:12:49	ga_ls8c_ard_3-0-0_109071_2016-10-09_final
2016-10-10 10:16:49	ga_ls8c_ard_3-0-0_100070_2016-10-10_final
2016-10-10 10:17:12	ga_ls8c_ard_3-0-0_100071_2016-10-10_final
2016-10-11 11:00:05	ga_ls8c_ard_3-0-0_107070_2016-10-11_final
2016-10-11 11:00:28	ga_ls8c_ard_3-0-0_107071_2016-10-11_final
2016-10-12 10:04:28	ga_ls8c_ard_3-0-0_098070_2016-10-12_final
2016-10-12 10:04:51	ga_ls8c_ard_3-1-0_098071_2016-10-12_final
2016-10-13 10:47:44	ga_ls8c_ard_3-0-0_105070_2016-10-13_final
2016-10-13 10:48:07	ga_ls8c_ard_3-0-0_105071_2016-10-13_final
2016-10-14 09:52:30	ga_ls8c_ard_3-0-0_096071_2016-10-14_final
2016-10-14 11:31:24	ga_ls8c_ard_3-0-0_112071_2016-10-14_final
2019-07-11 10:41:34	ga_ls8c_ard_3-1-0_104071_2019-07-11_final
2019-07-12 09:45:33	ga_ls8c_ard_3-1-0_095070_2019-07-12_final
2019-07-12 09:45:56	ga_ls8c_ard_3-1-0_095071_2019-07-12_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-07-12 11:24:50	ga_ls8c_ard_3-1-0_111071_2019-07-12_final
2019-07-13 10:28:48	ga_ls8c_ard_3-1-0_102070_2019-07-13_final
2019-07-13 10:29:12	ga_ls8c_ard_3-1-0_102071_2019-07-13_final
2019-07-14 09:33:35	ga_ls8c_ard_3-1-0_093071_2019-07-14_final
2019-07-14 11:12:28	ga_ls8c_ard_3-1-0_109071_2019-07-14_final
2019-07-15 10:16:27	ga_ls8c_ard_3-1-0_100070_2019-07-15_final
2019-07-15 10:16:51	ga_ls8c_ard_3-1-0_100071_2019-07-15_final
2019-07-16 11:00:07	ga_ls8c_ard_3-1-0_107071_2019-07-16_final
2019-08-17 10:59:55	ga_ls8c_ard_3-1-0_107070_2019-08-17_final
2019-08-17 11:00:19	ga_ls8c_ard_3-1-0_107071_2019-08-17_final
2019-08-18 10:04:42	ga_ls8c_ard_3-1-0_098071_2019-08-18_final
2019-08-19 10:47:58	ga_ls8c_ard_3-1-0_105071_2019-08-19_final
2019-08-20 09:52:20	ga_ls8c_ard_3-1-0_096071_2019-08-20_final
2019-08-20 11:30:50	ga_ls8c_ard_3-1-0_112070_2019-08-20_final
2019-08-20 11:31:14	ga_ls8c_ard_3-1-0_112071_2019-08-20_final
2019-08-28 10:41:25	ga_ls8c_ard_3-1-0_104070_2019-08-28_final
2019-08-28 10:41:49	ga_ls8c_ard_3-1-0_104071_2019-08-28_final
2019-08-29 09:45:48	ga_ls8c_ard_3-1-0_095070_2019-08-29_final
2019-08-29 09:46:12	ga_ls8c_ard_3-1-0_095071_2019-08-29_final
2019-08-29 11:25:05	ga_ls8c_ard_3-1-0_111071_2019-08-29_final
2019-08-30 10:29:04	ga_ls8c_ard_3-1-0_102070_2019-08-30_final
2019-08-30 10:29:28	ga_ls8c_ard_3-1-0_102071_2019-08-30_final
2019-09-06 10:35:16	ga_ls8c_ard_3-1-0_103070_2019-09-06_final
2019-09-06 10:35:40	ga_ls8c_ard_3-1-0_103071_2019-09-06_final
2019-09-07 09:40:03	ga_ls8c_ard_3-1-0_094071_2019-09-07_final
2019-09-07 11:18:56	ga_ls8c_ard_3-1-0_110071_2019-09-07_final
2019-09-08 10:23:19	ga_ls8c_ard_3-1-0_101071_2019-09-08_final
2019-10-20 11:00:10	ga_ls8c_ard_3-1-0_107070_2019-10-20_final
2019-10-20 11:00:34	ga_ls8c_ard_3-1-0_107071_2019-10-20_final
2019-10-21 10:04:56	ga_ls8c_ard_3-1-0_098071_2019-10-21_final
2019-10-22 10:47:48	ga_ls8c_ard_3-1-0_105070_2019-10-22_final
2019-10-22 10:48:12	ga_ls8c_ard_3-1-0_105071_2019-10-22_final
2019-10-23 09:52:35	ga_ls8c_ard_3-1-0_096071_2019-10-23_final
2019-10-23 11:31:28	ga_ls8c_ard_3-1-0_112071_2019-10-23_final
2019-10-24 10:35:27	ga_ls8c_ard_3-1-0_103070_2019-10-24_final
2019-10-24 10:35:51	ga_ls8c_ard_3-1-0_103071_2019-10-24_final
2019-10-25 09:40:13	ga_ls8c_ard_3-1-0_094071_2019-10-25_final
2019-10-25 11:19:06	ga_ls8c_ard_3-1-0_110071_2019-10-25_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