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
2016-05-14 09:57:30	ga_ls8c_ard_3-0-0_097070_2016-05-14_final
2016-05-14 09:57:54	ga_ls8c_ard_3-0-0_097071_2016-05-14_final
2016-05-15 10:41:10	ga_ls8c_ard_3-0-0_104071_2016-05-15_final
2016-05-16 09:45:10	ga_ls8c_ard_3-0-0_095070_2016-05-16_final
2016-05-16 09:45:34	ga_ls8c_ard_3-0-0_095071_2016-05-16_final
2016-05-16 11:24:03	ga_ls8c_ard_3-0-0_111070_2016-05-16_final
2016-05-16 11:24:27	ga_ls8c_ard_3-0-0_111071_2016-05-16_final
2016-05-17 10:28:26	ga_ls8c_ard_3-0-0_102070_2016-05-17_final
2016-05-17 10:28:50	ga_ls8c_ard_3-1-0_102071_2016-05-17_final
2016-05-21 10:04:09	ga_ls8c_ard_3-0-0_098071_2016-05-21_final
2016-05-22 10:47:01	ga_ls8c_ard_3-0-0_105070_2016-05-22_final
2016-05-22 10:47:25	ga_ls8c_ard_3-0-0_105071_2016-05-22_final
2016-05-23 09:51:48	ga_ls8c_ard_3-0-0_096071_2016-05-23_final
2016-05-23 11:30:17	ga_ls8c_ard_3-0-0_112070_2016-05-23_final
2016-05-23 11:30:41	ga_ls8c_ard_3-0-0_112071_2016-05-23_final
2016-05-24 10:35:04	ga_ls8c_ard_3-0-0_103071_2016-05-24_final
2016-06-22 10:04:18	ga_ls8c_ard_3-0-0_098071_2016-06-22_final
2016-06-23 10:47:34	ga_ls8c_ard_3-0-0_105071_2016-06-23_final
2016-06-24 09:51:58	ga_ls8c_ard_3-0-0_096071_2016-06-24_final
2016-06-24 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-06-24_final
2016-06-24 11:30:51	ga_ls8c_ard_3-0-0_112071_2016-06-24_final
2016-06-25 10:34:50	ga_ls8c_ard_3-0-0_103070_2016-06-25_final
2016-06-25 10:35:14	ga_ls8c_ard_3-0-0_103071_2016-06-25_final
2016-07-26 09:51:47	ga_ls8c_ard_3-0-0_096070_2016-07-26_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
2016-08-02 09:57:59	ga_ls8c_ard_3-0-0_097070_2016-08-02_final
2016-08-02 09:58:23	ga_ls8c_ard_3-0-0_097071_2016-08-02_final
2016-08-03 10:41:39	ga_ls8c_ard_3-0-0_104071_2016-08-03_final
2016-08-04 09:46:02	ga_ls8c_ard_3-0-0_095071_2016-08-04_final
2016-08-04 11:24:55	ga_ls8c_ard_3-0-0_111071_2016-08-04_final
2016-08-05 10:29:17	ga_ls8c_ard_3-0-0_102071_2016-08-05_final
2016-08-06 09:33:40	ga_ls8c_ard_3-0-0_093071_2016-08-06_final
2016-08-06 11:12:33	ga_ls8c_ard_3-0-0_109071_2016-08-06_final
2016-08-07 10:16:32	ga_ls8c_ard_3-0-0_100070_2016-08-07_final
2016-08-07 10:16:56	ga_ls8c_ard_3-0-0_100071_2016-08-07_final
2016-08-08 11:00:12	ga_ls8c_ard_3-0-0_107071_2016-08-08_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
2021-07-26 11:18:19	ga_ls8c_ard_3-2-0_110070_2021-07-26_final
2021-07-26 11:18:43	ga_ls8c_ard_3-2-0_110071_2021-07-26_final
2021-07-27 10:23:06	ga_ls8c_ard_3-2-0_101071_2021-07-27_final
2021-07-28 09:27:29	ga_ls8c_ard_3-2-0_092071_2021-07-27_final
2021-07-28 11:06:22	ga_ls8c_ard_3-2-0_108071_2021-07-28_final
2021-07-29 10:10:22	ga_ls8c_ard_3-2-0_099070_2021-07-29_final
2021-07-29 10:10:45	ga_ls8c_ard_3-2-0_099071_2021-07-29_final
2021-08-01 10:41:17	ga_ls8c_ard_3-2-0_104070_2021-08-01_final
2021-08-01 10:41:41	ga_ls8c_ard_3-2-0_104071_2021-08-01_final
2021-08-02 09:45:40	ga_ls8c_ard_3-2-0_095070_2021-08-02_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2023-02-01 11:00:33	ga_ls8c_ard_3-2-1_107071_2023-02-01_final
2023-02-02 10:04:56	ga_ls8c_ard_3-2-1_098071_2023-02-02_final
2023-02-03 10:48:11	ga_ls8c_ard_3-2-1_105071_2023-02-03_final
2023-02-21 10:35:36	ga_ls8c_ard_3-2-1_103071_2023-02-21_final
2023-02-22 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-02-22_final
2023-02-22 11:18:50	ga_ls8c_ard_3-2-1_110071_2023-02-22_final
2023-02-23 10:23:11	ga_ls8c_ard_3-2-1_101071_2023-02-23_final
2023-02-24 09:27:32	ga_ls8c_ard_3-2-1_092071_2023-02-23_final
2023-02-24 11:06:25	ga_ls8c_ard_3-2-1_108071_2023-02-24_final
2023-02-25 10:10:47	ga_ls8c_ard_3-2-1_099071_2023-02-25_final
2023-02-26 10:54:03	ga_ls8c_ard_3-2-1_106071_2023-02-26_final
2023-03-11 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-03-11_final
2023-03-12 09:27:26	ga_ls8c_ard_3-2-1_092071_2023-03-11_final
2023-03-12 11:06:20	ga_ls8c_ard_3-2-1_108071_2023-03-12_final
2023-03-13 10:10:42	ga_ls8c_ard_3-2-1_099071_2023-03-13_final
2023-03-14 10:53:57	ga_ls8c_ard_3-2-1_106071_2023-03-14_final
2023-03-15 09:58:20	ga_ls8c_ard_3-2-1_097071_2023-03-15_final
2023-03-19 09:33:34	ga_ls8c_ard_3-2-1_093071_2023-03-19_final
2023-03-25 10:35:17	ga_ls8c_ard_3-2-1_103071_2023-03-25_final
2023-03-26 09:39:39	ga_ls8c_ard_3-2-1_094071_2023-03-26_final
2023-03-26 11:18:32	ga_ls8c_ard_3-2-1_110071_2023-03-26_final
2023-03-27 10:22:55	ga_ls8c_ard_3-2-1_101071_2023-03-27_final
2023-03-28 09:27:17	ga_ls8c_ard_3-2-1_092071_2023-03-27_final
2023-03-28 11:06:10	ga_ls8c_ard_3-2-1_108071_2023-03-28_final
2023-03-29 10:10:32	ga_ls8c_ard_3-2-1_099071_2023-03-29_final
2023-03-30 10:53:47	ga_ls8c_ard_3-2-1_106071_2023-03-30_final
2023-03-31 09:58:09	ga_ls8c_ard_3-2-1_097071_2023-03-31_final
2023-04-01 10:41:24	ga_ls8c_ard_3-2-1_104071_2023-04-01_final
2023-04-02 09:45:46	ga_ls8c_ard_3-2-1_095071_2023-04-02_final
2023-04-02 11:24:39	ga_ls8c_ard_3-2-1_111071_2023-04-02_final
2023-04-03 10:29:00	ga_ls8c_ard_3-2-1_102071_2023-04-03_final
2023-04-04 09:33:22	ga_ls8c_ard_3-2-1_093071_2023-04-04_final
2023-04-04 11:12:15	ga_ls8c_ard_3-2-1_109071_2023-04-04_final
2023-04-05 10:16:37	ga_ls8c_ard_3-2-1_100071_2023-04-05_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

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