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
2015-09-26 09:52:35	ga_ls8c_ard_3-0-0_096072_2015-09-26_final
2015-09-26 11:31:04	ga_ls8c_ard_3-0-0_112071_2015-09-26_final
2015-09-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2015-09-26_final
2015-09-27 10:35:27	ga_ls8c_ard_3-0-0_103071_2015-09-27_final
2015-09-27 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-09-27_final
2015-09-28 09:39:50	ga_ls8c_ard_3-0-0_094071_2015-09-28_final
2015-09-28 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-09-28_final
2015-09-28 11:18:43	ga_ls8c_ard_3-0-0_110071_2015-09-28_final
2015-09-28 11:19:07	ga_ls8c_ard_3-0-0_110072_2015-09-28_final
2015-09-29 10:23:06	ga_ls8c_ard_3-0-0_101071_2015-09-29_final
2015-09-29 10:23:30	ga_ls8c_ard_3-1-0_101072_2015-09-29_final
2015-11-13 09:52:17	ga_ls8c_ard_3-0-0_096071_2015-11-13_final
2015-11-13 09:52:41	ga_ls8c_ard_3-0-0_096072_2015-11-13_final
2015-11-13 11:31:10	ga_ls8c_ard_3-0-0_112071_2015-11-13_final
2015-11-13 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-11-13_final
2015-11-14 10:35:33	ga_ls8c_ard_3-0-0_103071_2015-11-14_final
2015-11-14 10:35:57	ga_ls8c_ard_3-0-0_103072_2015-11-14_final
2015-11-15 09:39:56	ga_ls8c_ard_3-0-0_094071_2015-11-15_final
2015-11-15 09:40:20	ga_ls8c_ard_3-0-0_094072_2015-11-15_final
2015-11-15 11:18:49	ga_ls8c_ard_3-0-0_110071_2015-11-15_final
2015-11-15 11:19:13	ga_ls8c_ard_3-0-0_110072_2015-11-15_final
2015-11-16 10:23:12	ga_ls8c_ard_3-0-0_101071_2015-11-16_final
2015-11-16 10:23:36	ga_ls8c_ard_3-0-0_101072_2015-11-16_final
2018-06-02 09:26:15	ga_ls8c_ard_3-0-0_092071_2018-06-01_final
2018-06-02 09:26:39	ga_ls8c_ard_3-0-0_092072_2018-06-01_final
2018-06-02 11:05:08	ga_ls8c_ard_3-0-0_108071_2018-06-02_final
2018-06-02 11:05:32	ga_ls8c_ard_3-0-0_108072_2018-06-02_final
2018-06-03 10:09:30	ga_ls8c_ard_3-0-0_099071_2018-06-03_final
2018-06-03 10:09:54	ga_ls8c_ard_3-0-0_099072_2018-06-03_final
2018-07-06 10:53:05	ga_ls8c_ard_3-0-0_106071_2018-07-06_final
2018-07-06 10:53:29	ga_ls8c_ard_3-0-0_106072_2018-07-06_final
2018-07-07 09:57:28	ga_ls8c_ard_3-0-0_097071_2018-07-07_final
2018-07-07 09:57:52	ga_ls8c_ard_3-0-0_097072_2018-07-07_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-07-08 10:40:44	ga_ls8c_ard_3-0-0_104071_2018-07-08_final
2018-07-08 10:41:08	ga_ls8c_ard_3-0-0_104072_2018-07-08_final
2018-08-05 09:26:48	ga_ls8c_ard_3-0-0_092071_2018-08-04_final
2018-08-05 09:27:12	ga_ls8c_ard_3-0-0_092072_2018-08-04_final
2018-08-05 11:05:41	ga_ls8c_ard_3-0-0_108071_2018-08-05_final
2018-08-05 11:06:05	ga_ls8c_ard_3-0-0_108072_2018-08-05_final
2018-08-06 10:10:04	ga_ls8c_ard_3-0-0_099071_2018-08-06_final
2018-08-06 10:10:28	ga_ls8c_ard_3-0-0_099072_2018-08-06_final
2018-08-07 10:53:21	ga_ls8c_ard_3-0-0_106071_2018-08-07_final
2018-08-07 10:53:45	ga_ls8c_ard_3-0-0_106072_2018-08-07_final
2018-08-08 09:57:44	ga_ls8c_ard_3-0-0_097071_2018-08-08_final
2018-08-08 09:58:08	ga_ls8c_ard_3-0-0_097072_2018-08-08_final
2018-08-08 11:37:01	ga_ls8c_ard_3-0-0_113072_2018-08-08_final
2018-08-09 10:41:00	ga_ls8c_ard_3-0-0_104071_2018-08-09_final
2018-08-09 10:41:24	ga_ls8c_ard_3-0-0_104072_2018-08-09_final
2020-04-21 10:10:17	ga_ls8c_ard_3-1-0_099071_2020-04-21_final
2020-04-21 10:10:41	ga_ls8c_ard_3-1-0_099072_2020-04-21_final
2020-04-22 10:53:56	ga_ls8c_ard_3-1-0_106072_2020-04-22_final
2020-04-23 09:57:54	ga_ls8c_ard_3-1-0_097071_2020-04-23_final
2020-04-23 09:58:18	ga_ls8c_ard_3-1-0_097072_2020-04-23_final
2020-04-23 11:37:11	ga_ls8c_ard_3-1-0_113072_2020-04-23_final
2020-04-24 10:41:33	ga_ls8c_ard_3-1-0_104072_2020-04-24_final
2020-06-01 10:04:03	ga_ls8c_ard_3-1-0_098071_2020-06-01_final
2020-06-01 10:04:26	ga_ls8c_ard_3-1-0_098072_2020-06-01_final
2020-06-02 10:47:19	ga_ls8c_ard_3-1-0_105071_2020-06-02_final
2020-06-02 10:47:43	ga_ls8c_ard_3-1-0_105072_2020-06-02_final
2020-06-03 09:51:42	ga_ls8c_ard_3-1-0_096071_2020-06-03_final
2020-06-03 09:52:06	ga_ls8c_ard_3-1-0_096072_2020-06-03_final
2020-06-03 11:30:35	ga_ls8c_ard_3-1-0_112071_2020-06-03_final
2020-06-03 11:30:59	ga_ls8c_ard_3-1-0_112072_2020-06-03_final
2020-06-04 10:34:59	ga_ls8c_ard_3-1-0_103071_2020-06-04_final
2020-06-04 10:35:23	ga_ls8c_ard_3-1-0_103072_2020-06-04_final
2021-10-19 09:58:48	ga_ls8c_ard_3-2-0_097071_2021-10-19_final
2021-10-19 09:59:12	ga_ls8c_ard_3-2-0_097072_2021-10-19_final
2021-10-19 11:38:05	ga_ls8c_ard_3-2-0_113072_2021-10-19_final
2021-10-20 10:42:03	ga_ls8c_ard_3-2-0_104071_2021-10-20_final
2021-10-20 10:42:27	ga_ls8c_ard_3-2-0_104072_2021-10-20_final
2021-10-21 09:46:26	ga_ls8c_ard_3-2-0_095071_2021-10-21_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 11:25:19	ga_ls8c_ard_3-2-0_111071_2021-10-21_final
2021-10-21 11:25:43	ga_ls8c_ard_3-2-0_111072_2021-10-21_final
2021-10-22 10:29:42	ga_ls8c_ard_3-2-0_102071_2021-10-22_final
2021-10-22 10:30:06	ga_ls8c_ard_3-2-0_102072_2021-10-22_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-10-23 09:34:29	ga_ls8c_ard_3-2-0_093072_2021-10-23_final
2021-10-23 11:12:58	ga_ls8c_ard_3-2-0_109071_2021-10-23_final
2021-10-23 11:13:22	ga_ls8c_ard_3-2-0_109072_2021-10-23_final
2021-10-24 10:17:20	ga_ls8c_ard_3-2-0_100071_2021-10-24_final
2021-10-24 10:17:44	ga_ls8c_ard_3-2-0_100072_2021-10-24_final
2021-10-25 09:22:07	ga_ls8c_ard_3-2-0_091072_2021-10-24_final
2021-10-25 11:00:36	ga_ls8c_ard_3-2-0_107071_2021-10-25_final
2021-10-25 11:01:00	ga_ls8c_ard_3-2-0_107072_2021-10-25_final
2022-06-02 11:24:54	ga_ls8c_ard_3-2-1_111071_2022-06-02_final
2022-06-02 11:25:18	ga_ls8c_ard_3-2-1_111072_2022-06-02_final
2022-06-03 10:29:17	ga_ls8c_ard_3-2-1_102071_2022-06-03_final
2022-06-03 10:29:41	ga_ls8c_ard_3-2-1_102072_2022-06-03_final
2022-06-04 09:33:41	ga_ls8c_ard_3-2-1_093071_2022-06-04_final
2022-06-04 09:34:05	ga_ls8c_ard_3-2-1_093072_2022-06-04_final
2022-06-04 11:12:34	ga_ls8c_ard_3-2-1_109071_2022-06-04_final
2022-06-04 11:12:58	ga_ls8c_ard_3-2-1_109072_2022-06-04_final
2022-06-05 10:16:57	ga_ls8c_ard_3-2-1_100071_2022-06-05_final
2022-06-05 10:17:21	ga_ls8c_ard_3-2-1_100072_2022-06-05_final
2022-06-06 09:21:45	ga_ls8c_ard_3-2-1_091072_2022-06-05_final
2022-06-06 11:00:14	ga_ls8c_ard_3-2-1_107071_2022-06-06_final
2022-06-06 11:00:38	ga_ls8c_ard_3-2-1_107072_2022-06-06_final
2022-06-07 10:04:37	ga_ls8c_ard_3-2-1_098071_2022-06-07_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years