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
2014-07-30 09:45:33	ga_ls8c_ard_3-0-0_095070_2014-07-30_final
2014-07-30 09:45:57	ga_ls8c_ard_3-0-0_095071_2014-07-30_final
2014-07-30 11:24:26	ga_ls8c_ard_3-0-0_111070_2014-07-30_final
2014-07-30 11:24:50	ga_ls8c_ard_3-0-0_111071_2014-07-30_final
2014-07-31 10:29:13	ga_ls8c_ard_3-0-0_102071_2014-07-31_final
2014-08-13 09:58:25	ga_ls8c_ard_3-0-0_097071_2014-08-13_final
2014-08-14 10:41:17	ga_ls8c_ard_3-0-0_104070_2014-08-14_final
2014-08-14 10:41:41	ga_ls8c_ard_3-0-0_104071_2014-08-14_final
2014-08-15 09:46:04	ga_ls8c_ard_3-0-0_095071_2014-08-15_final
2014-08-15 11:24:33	ga_ls8c_ard_3-0-0_111070_2014-08-15_final
2014-08-15 11:24:57	ga_ls8c_ard_3-0-0_111071_2014-08-15_final
2014-08-16 10:29:20	ga_ls8c_ard_3-0-0_102071_2014-08-16_final
2014-08-29 09:58:02	ga_ls8c_ard_3-0-0_097070_2014-08-29_final
2014-08-29 09:58:26	ga_ls8c_ard_3-0-0_097071_2014-08-29_final
2014-08-30 10:41:42	ga_ls8c_ard_3-0-0_104071_2014-08-30_final
2014-08-31 09:46:06	ga_ls8c_ard_3-0-0_095071_2014-08-31_final
2014-08-31 11:24:59	ga_ls8c_ard_3-0-0_111071_2014-08-31_final
2014-09-01 10:29:22	ga_ls8c_ard_3-0-0_102071_2014-09-01_final
2014-12-19 09:58:29	ga_ls8c_ard_3-0-0_097071_2014-12-19_final
2014-12-20 10:41:45	ga_ls8c_ard_3-0-0_104071_2014-12-20_final
2014-12-21 09:46:08	ga_ls8c_ard_3-0-0_095071_2014-12-21_final
2014-12-21 11:25:01	ga_ls8c_ard_3-0-0_111071_2014-12-21_final
2014-12-22 10:29:23	ga_ls8c_ard_3-0-0_102071_2014-12-22_final
2017-04-02 10:28:50	ga_ls8c_ard_3-0-0_102071_2017-04-02_final
2017-04-03 09:33:12	ga_ls8c_ard_3-0-0_093071_2017-04-03_final
2017-04-03 11:12:05	ga_ls8c_ard_3-0-0_109071_2017-04-03_final
2017-04-04 10:16:28	ga_ls8c_ard_3-0-0_100071_2017-04-04_final
2017-07-04 09:58:09	ga_ls8c_ard_3-0-0_097071_2017-07-04_final
2017-07-05 10:41:25	ga_ls8c_ard_3-0-0_104071_2017-07-05_final
2017-07-06 09:45:48	ga_ls8c_ard_3-0-0_095071_2017-07-06_final
2017-07-06 11:24:17	ga_ls8c_ard_3-0-0_111070_2017-07-06_final
2017-07-06 11:24:41	ga_ls8c_ard_3-0-0_111071_2017-07-06_final
2017-07-14 10:35:15	ga_ls8c_ard_3-0-0_103071_2017-07-14_final
2017-07-15 09:39:39	ga_ls8c_ard_3-0-0_094071_2017-07-15_final
2017-07-15 11:18:32	ga_ls8c_ard_3-0-0_110071_2017-07-15_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-07-16 10:22:55	ga_ls8c_ard_3-0-0_101071_2017-07-16_final
2023-02-04 09:52:34	ga_ls8c_ard_3-2-1_096071_2023-02-04_final
2023-03-19 09:33:34	ga_ls8c_ard_3-2-1_093071_2023-03-19_final
2023-03-23 10:47:39	ga_ls8c_ard_3-2-1_105071_2023-03-23_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-04-09 09:51:48	ga_ls8c_ard_3-2-1_096071_2023-04-09_final
2023-04-10 10:35:02	ga_ls8c_ard_3-2-1_103071_2023-04-10_final
2023-04-11 09:39:23	ga_ls8c_ard_3-2-1_094071_2023-04-11_final
2023-04-11 11:18:16	ga_ls8c_ard_3-2-1_110071_2023-04-11_final
2023-04-12 10:22:39	ga_ls8c_ard_3-2-1_101071_2023-04-12_final
2023-04-13 09:27:01	ga_ls8c_ard_3-2-1_092071_2023-04-12_final
2023-04-13 11:05:54	ga_ls8c_ard_3-2-1_108071_2023-04-13_final
2023-04-14 10:10:17	ga_ls8c_ard_3-2-1_099071_2023-04-14_final
2023-04-15 10:53:32	ga_ls8c_ard_3-2-1_106071_2023-04-15_final
2023-04-16 09:57:55	ga_ls8c_ard_3-2-1_097071_2023-04-16_final
2023-04-17 10:41:10	ga_ls8c_ard_3-2-1_104071_2023-04-17_final
2023-04-18 09:45:32	ga_ls8c_ard_3-2-1_095071_2023-04-18_final
2023-04-18 11:24:25	ga_ls8c_ard_3-2-1_111071_2023-04-18_final
2023-04-19 10:28:47	ga_ls8c_ard_3-2-1_102071_2023-04-19_final
2023-04-20 09:33:09	ga_ls8c_ard_3-2-1_093071_2023-04-20_final
2023-04-20 11:12:02	ga_ls8c_ard_3-2-1_109071_2023-04-20_final
2023-04-21 10:16:25	ga_ls8c_ard_3-2-1_100071_2023-04-21_final
2023-04-24 10:47:19	ga_ls8c_ard_3-2-1_105071_2023-04-24_final
2023-04-25 09:51:42	ga_ls8c_ard_3-2-1_096071_2023-04-25_final
2023-04-26 10:34:57	ga_ls8c_ard_3-2-1_103071_2023-04-26_final
2023-06-16 11:05:49	ga_ls8c_ard_3-2-1_108071_2023-06-16_final
2023-06-17 10:09:48	ga_ls8c_ard_3-2-1_099070_2023-06-17_final
2023-06-17 10:10:11	ga_ls8c_ard_3-2-1_099071_2023-06-17_final
2023-06-18 10:53:27	ga_ls8c_ard_3-2-1_106071_2023-06-18_final
2023-06-19 09:57:50	ga_ls8c_ard_3-2-1_097071_2023-06-19_final
2023-06-23 11:12:00	ga_ls8c_ard_3-2-1_109071_2023-06-23_final
2023-06-24 10:16:24	ga_ls8c_ard_3-2-1_100071_2023-06-24_final
2023-06-25 10:59:41	ga_ls8c_ard_3-2-1_107071_2023-06-25_final
2023-06-26 10:03:41	ga_ls8c_ard_3-2-1_098070_2023-06-26_final
2023-06-26 10:04:04	ga_ls8c_ard_3-2-1_098071_2023-06-26_final
2023-06-30 09:39:25	ga_ls8c_ard_3-2-1_094071_2023-06-30_final
2023-06-30 11:17:54	ga_ls8c_ard_3-2-1_110070_2023-06-30_final
2023-06-30 11:18:18	ga_ls8c_ard_3-2-1_110071_2023-06-30_final
2023-07-01 10:22:42	ga_ls8c_ard_3-2-1_101071_2023-07-01_final
2023-07-02 09:27:05	ga_ls8c_ard_3-2-1_092071_2023-07-01_final
2023-07-02 11:05:58	ga_ls8c_ard_3-2-1_108071_2023-07-02_final
2023-07-03 10:10:21	ga_ls8c_ard_3-2-1_099071_2023-07-03_final
2023-07-04 10:53:14	ga_ls8c_ard_3-2-1_106070_2023-07-04_final
2023-07-04 10:53:38	ga_ls8c_ard_3-2-1_106071_2023-07-04_final
2023-07-05 09:58:01	ga_ls8c_ard_3-2-1_097071_2023-07-05_final
2023-07-06 10:41:17	ga_ls8c_ard_3-2-1_104071_2023-07-06_final
2023-07-07 09:45:40	ga_ls8c_ard_3-2-1_095071_2023-07-07_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-07-08 10:28:33	ga_ls8c_ard_3-2-1_102070_2023-07-08_final
2023-07-08 10:28:57	ga_ls8c_ard_3-2-1_102071_2023-07-08_final
2023-07-09 09:33:20	ga_ls8c_ard_3-2-1_093071_2023-07-09_final
2023-07-09 11:12:13	ga_ls8c_ard_3-2-1_109071_2023-07-09_final
2023-07-10 10:16:36	ga_ls8c_ard_3-2-1_100071_2023-07-10_final
2023-07-30 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-07-30_final
2023-07-30 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-07-30_final
2023-07-31 10:35:17	ga_ls8c_ard_3-2-1_103071_2023-07-31_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-01 11:18:09	ga_ls8c_ard_3-2-1_110070_2023-08-01_final
2023-08-01 11:18:33	ga_ls8c_ard_3-2-1_110071_2023-08-01_final
2023-08-02 10:22:56	ga_ls8c_ard_3-2-1_101071_2023-08-02_final
2023-09-06 10:53:57	ga_ls8c_ard_3-2-1_106071_2023-09-06_final
2023-09-07 09:58:20	ga_ls8c_ard_3-2-1_097071_2023-09-07_final
2023-09-08 10:41:36	ga_ls8c_ard_3-2-1_104071_2023-09-08_final
2023-09-09 09:46:00	ga_ls8c_ard_3-2-1_095071_2023-09-09_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