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
2013-06-29 11:01:44	ga_ls8c_ard_3-0-0_107070_2013-06-29_final
2013-06-29 11:02:08	ga_ls8c_ard_3-0-0_107071_2013-06-29_final
2013-06-30 10:06:07	ga_ls8c_ard_3-0-0_098070_2013-06-30_final
2013-06-30 10:06:30	ga_ls8c_ard_3-0-0_098071_2013-06-30_final
2013-11-01 10:30:36	ga_ls8c_ard_3-0-0_102070_2013-11-01_final
2013-11-01 10:31:00	ga_ls8c_ard_3-0-0_102071_2013-11-01_final
2013-11-02 09:35:23	ga_ls8c_ard_3-0-0_093071_2013-11-02_final
2013-11-02 11:13:52	ga_ls8c_ard_3-0-0_109070_2013-11-02_final
2013-11-02 11:14:16	ga_ls8c_ard_3-0-0_109071_2013-11-02_final
2013-11-03 10:18:39	ga_ls8c_ard_3-0-0_100071_2013-11-03_final
2013-11-04 11:01:31	ga_ls8c_ard_3-0-0_107070_2013-11-04_final
2013-11-04 11:01:55	ga_ls8c_ard_3-0-0_107071_2013-11-04_final
2013-11-05 10:05:53	ga_ls8c_ard_3-0-0_098070_2013-11-05_final
2013-11-05 10:06:17	ga_ls8c_ard_3-0-0_098071_2013-11-05_final
2014-01-22 10:18:03	ga_ls8c_ard_3-0-0_100071_2014-01-22_final
2014-01-23 11:01:18	ga_ls8c_ard_3-0-0_107071_2014-01-23_final
2014-01-24 10:05:16	ga_ls8c_ard_3-0-0_098070_2014-01-24_final
2014-01-24 10:05:40	ga_ls8c_ard_3-1-0_098071_2014-01-24_final
2014-01-25 10:48:32	ga_ls8c_ard_3-0-0_105070_2014-01-25_final
2014-01-25 10:48:56	ga_ls8c_ard_3-0-0_105071_2014-01-25_final
2014-01-26 09:53:18	ga_ls8c_ard_3-0-0_096071_2014-01-26_final
2014-05-31 10:59:22	ga_ls8c_ard_3-0-0_107070_2014-05-31_final
2014-05-31 10:59:45	ga_ls8c_ard_3-0-0_107071_2014-05-31_final
2016-08-06 09:33:40	ga_ls8c_ard_3-0-0_093071_2016-08-06_final
2016-08-07 10:16:32	ga_ls8c_ard_3-0-0_100070_2016-08-07_final
2016-08-08 10:59:48	ga_ls8c_ard_3-0-0_107070_2016-08-08_final
2016-08-08 11:00:12	ga_ls8c_ard_3-0-0_107071_2016-08-08_final
2019-07-07 09:27:23	ga_ls8c_ard_3-1-0_092071_2019-07-06_final
2019-07-07 11:05:52	ga_ls8c_ard_3-1-0_108070_2019-07-07_final
2019-07-07 11:06:16	ga_ls8c_ard_3-1-0_108071_2019-07-07_final
2019-07-17 10:04:06	ga_ls8c_ard_3-1-0_098070_2019-07-17_final
2019-07-17 10:04:30	ga_ls8c_ard_3-1-0_098071_2019-07-17_final
2019-07-18 10:47:21	ga_ls8c_ard_3-1-0_105070_2019-07-18_final
2019-07-18 10:47:45	ga_ls8c_ard_3-1-0_105071_2019-07-18_final
2019-07-19 09:51:44	ga_ls8c_ard_3-1-0_096070_2019-07-19_final
2019-07-19 09:52:08	ga_ls8c_ard_3-1-0_096071_2019-07-19_final
2019-07-19 11:30:37	ga_ls8c_ard_3-1-0_112070_2019-07-19_final
2019-07-19 11:31:01	ga_ls8c_ard_3-1-0_112071_2019-07-19_final
2019-07-20 10:35:01	ga_ls8c_ard_3-1-0_103070_2019-07-20_final
2019-07-20 10:35:24	ga_ls8c_ard_3-1-0_103071_2019-07-20_final
2019-09-22 10:35:22	ga_ls8c_ard_3-1-0_103070_2019-09-22_final
2019-09-22 10:35:46	ga_ls8c_ard_3-1-0_103071_2019-09-22_final
2019-09-23 09:40:09	ga_ls8c_ard_3-1-0_094071_2019-09-23_final
2019-09-23 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-09-23_final
2019-09-23 11:19:02	ga_ls8c_ard_3-1-0_110071_2019-09-23_final
2019-09-24 10:23:01	ga_ls8c_ard_3-1-0_101070_2019-09-24_final
2019-09-24 10:23:25	ga_ls8c_ard_3-1-0_101071_2019-09-24_final
2019-09-25 09:27:47	ga_ls8c_ard_3-1-0_092071_2019-09-24_final
2019-09-25 11:06:17	ga_ls8c_ard_3-1-0_108070_2019-09-25_final
2019-09-25 11:06:41	ga_ls8c_ard_3-1-0_108071_2019-09-25_final
2019-10-01 10:29:13	ga_ls8c_ard_3-1-0_102070_2019-10-01_final
2019-10-01 10:29:37	ga_ls8c_ard_3-1-0_102071_2019-10-01_final
2019-10-02 09:34:00	ga_ls8c_ard_3-1-0_093071_2019-10-02_final
2019-10-02 11:12:29	ga_ls8c_ard_3-1-0_109070_2019-10-02_final
2019-10-02 11:12:53	ga_ls8c_ard_3-1-0_109071_2019-10-02_final
2019-10-03 10:16:52	ga_ls8c_ard_3-1-0_100070_2019-10-03_final
2019-10-03 10:17:16	ga_ls8c_ard_3-1-0_100071_2019-10-03_final
2019-10-04 11:00:08	ga_ls8c_ard_3-1-0_107070_2019-10-04_final
2019-10-04 11:00:32	ga_ls8c_ard_3-1-0_107071_2019-10-04_final
2019-11-28 09:27:47	ga_ls8c_ard_3-1-0_092071_2019-11-27_final
2019-11-28 11:06:16	ga_ls8c_ard_3-1-0_108070_2019-11-28_final
2019-11-28 11:06:40	ga_ls8c_ard_3-1-0_108071_2019-11-28_final
2019-12-01 09:58:17	ga_ls8c_ard_3-1-0_097070_2019-12-01_final
2019-12-01 09:58:41	ga_ls8c_ard_3-1-0_097071_2019-12-01_final
2019-12-01 11:37:34	ga_ls8c_ard_3-1-0_113071_2019-12-01_final
2019-12-02 10:41:33	ga_ls8c_ard_3-1-0_104070_2019-12-02_final
2019-12-02 10:41:57	ga_ls8c_ard_3-1-0_104071_2019-12-02_final
2019-12-03 09:45:55	ga_ls8c_ard_3-1-0_095070_2019-12-03_final
2019-12-03 09:46:19	ga_ls8c_ard_3-1-0_095071_2019-12-03_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2019-12-03 11:25:12	ga_ls8c_ard_3-1-0_111071_2019-12-03_final
2020-09-20 11:00:02	ga_ls8c_ard_3-1-0_107070_2020-09-20_final
2020-09-20 11:00:26	ga_ls8c_ard_3-1-0_107071_2020-09-20_final
2020-09-21 10:04:25	ga_ls8c_ard_3-1-0_098070_2020-09-21_final
2020-09-21 10:04:49	ga_ls8c_ard_3-1-0_098071_2020-09-21_final
2020-10-17 10:41:34	ga_ls8c_ard_3-1-0_104070_2020-10-17_final
2020-10-17 10:41:58	ga_ls8c_ard_3-1-0_104071_2020-10-17_final
2020-10-18 09:45:57	ga_ls8c_ard_3-1-0_095070_2020-10-18_final
2020-10-18 09:46:20	ga_ls8c_ard_3-1-0_095071_2020-10-18_final
2020-10-18 11:24:50	ga_ls8c_ard_3-1-0_111070_2020-10-18_final
2020-10-18 11:25:13	ga_ls8c_ard_3-1-0_111071_2020-10-18_final
2020-10-19 10:29:12	ga_ls8c_ard_3-1-0_102070_2020-10-19_final
2020-10-19 10:29:36	ga_ls8c_ard_3-1-0_102071_2020-10-19_final
2020-11-27 10:35:23	ga_ls8c_ard_3-1-0_103070_2020-11-27_final
2020-11-27 10:35:47	ga_ls8c_ard_3-1-0_103071_2020-11-27_final
2020-11-28 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-11-28_final
2020-11-28 11:18:39	ga_ls8c_ard_3-1-0_110070_2020-11-28_final
2020-11-28 11:19:03	ga_ls8c_ard_3-1-0_110071_2020-11-28_final
2020-11-29 10:23:02	ga_ls8c_ard_3-1-0_101070_2020-11-29_final
2020-11-29 10:23:26	ga_ls8c_ard_3-1-0_101071_2020-11-29_final
2021-08-14 10:10:28	ga_ls8c_ard_3-2-0_099070_2021-08-14_final
2021-08-14 10:10:52	ga_ls8c_ard_3-2-0_099071_2021-08-14_final
2021-08-15 10:53:44	ga_ls8c_ard_3-2-0_106070_2021-08-15_final
2021-08-15 10:54:08	ga_ls8c_ard_3-2-0_106071_2021-08-15_final
2021-08-16 09:58:07	ga_ls8c_ard_3-2-0_097070_2021-08-16_final
2021-08-16 09:58:31	ga_ls8c_ard_3-2-0_097071_2021-08-16_final
2021-08-19 10:29:02	ga_ls8c_ard_3-2-0_102070_2021-08-19_final
2021-08-19 10:29:26	ga_ls8c_ard_3-2-0_102071_2021-08-19_final
2021-08-20 09:33:49	ga_ls8c_ard_3-2-0_093071_2021-08-20_final
2021-08-20 11:12:18	ga_ls8c_ard_3-2-0_109070_2021-08-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years