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
2013-12-28 10:24:55	ga_ls8c_ard_3-1-0_101072_2013-12-28_final
2014-06-11 10:43:43	ga_ls8c_ard_3-1-0_104077_2014-06-11_final
2015-03-01 10:47:59	ga_ls8c_ard_3-1-0_105072_2015-03-01_final
2015-10-02 09:22:18	ga_ls8c_ard_3-1-0_090089_2015-10-01_final
2016-09-06 10:33:04	ga_ls8c_ard_3-1-0_102080_2016-09-06_final
2019-03-13 09:52:35	ga_ls8c_ard_3-1-0_096073_2019-03-13_final
2019-03-23 10:30:02	ga_ls8c_ard_3-1-0_102074_2019-03-23_final
2019-03-29 09:55:44	ga_ls8c_ard_3-1-0_096081_2019-03-29_final
2019-04-02 09:29:24	ga_ls8c_ard_3-1-0_092077_2019-04-01_final
2019-04-02 09:30:59	ga_ls8c_ard_3-1-0_092081_2019-04-02_final
2019-04-03 10:14:39	ga_ls8c_ard_3-1-0_099082_2019-04-03_final
2019-04-09 09:36:20	ga_ls8c_ard_3-1-0_093079_2019-04-09_final
2019-06-12 09:36:38	ga_ls8c_ard_3-1-0_093079_2019-06-12_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-21 09:31:19	ga_ls8c_ard_3-1-0_092081_2019-06-21_final
2019-06-23 10:57:03	ga_ls8c_ard_3-1-0_106079_2019-06-23_final
2019-06-26 09:51:04	ga_ls8c_ard_3-1-0_095084_2019-06-26_final
2019-06-28 09:36:44	ga_ls8c_ard_3-1-0_093079_2019-06-28_final
2019-07-05 09:42:56	ga_ls8c_ard_3-1-0_094079_2019-07-05_final
2019-07-07 11:09:28	ga_ls8c_ard_3-1-0_108079_2019-07-07_final
2019-07-08 10:15:02	ga_ls8c_ard_3-1-0_099082_2019-07-08_final
2019-07-08 11:52:44	ga_ls8c_ard_3-1-0_115079_2019-07-08_final
2019-07-10 10:02:17	ga_ls8c_ard_3-1-0_097081_2019-07-10_final
2019-07-16 09:23:13	ga_ls8c_ard_3-1-0_091076_2019-07-15_final
2019-07-20 10:35:01	ga_ls8c_ard_3-1-0_103070_2019-07-20_final
2019-07-20 10:36:12	ga_ls8c_ard_3-1-0_103073_2019-07-20_final
2019-07-21 11:22:40	ga_ls8c_ard_3-1-0_110081_2019-07-21_final
2019-07-27 10:43:38	ga_ls8c_ard_3-1-0_104076_2019-07-27_final
2019-08-02 10:09:00	ga_ls8c_ard_3-1-0_098082_2019-08-02_final
2019-08-02 11:45:05	ga_ls8c_ard_3-1-0_114075_2019-08-02_final
2019-08-08 09:30:45	ga_ls8c_ard_3-1-0_092079_2019-08-08_final
2019-08-12 10:43:44	ga_ls8c_ard_3-1-0_104076_2019-08-12_final
2019-08-20 09:52:44	ga_ls8c_ard_3-1-0_096072_2019-08-20_final
2019-08-21 10:36:24	ga_ls8c_ard_3-1-0_103073_2019-08-21_final
2019-08-24 11:05:43	ga_ls8c_ard_3-1-0_108069_2019-08-24_final
2019-08-31 11:13:07	ga_ls8c_ard_3-1-0_109072_2019-08-31_final
2019-09-02 11:04:22	ga_ls8c_ard_3-1-0_107081_2019-09-02_final
2019-09-07 09:43:14	ga_ls8c_ard_3-1-0_094079_2019-09-07_final
2019-09-09 09:29:42	ga_ls8c_ard_3-1-0_092076_2019-09-08_final
2019-09-09 11:06:59	ga_ls8c_ard_3-1-0_108072_2019-09-09_final
2019-09-10 10:16:33	ga_ls8c_ard_3-1-0_099085_2019-09-10_final
2019-09-15 10:31:08	ga_ls8c_ard_3-1-0_102075_2019-09-15_final
2019-10-14 10:02:45	ga_ls8c_ard_3-1-0_097081_2019-10-14_final
2019-10-23 09:58:10	ga_ls8c_ard_3-1-0_096085_2019-10-23_final
2019-10-24 10:35:51	ga_ls8c_ard_3-1-0_103071_2019-10-24_final
2019-10-24 10:39:02	ga_ls8c_ard_3-1-0_103079_2019-10-24_final
2019-10-28 10:12:19	ga_ls8c_ard_3-1-0_099074_2019-10-28_final
2019-11-12 09:33:25	ga_ls8c_ard_3-1-0_092085_2019-11-12_final
2019-11-12 11:11:06	ga_ls8c_ard_3-1-0_108082_2019-11-12_final
2019-11-28 09:29:47	ga_ls8c_ard_3-1-0_092076_2019-11-27_final
2019-12-03 11:26:48	ga_ls8c_ard_3-1-0_111075_2019-12-03_final
2019-12-05 11:16:02	ga_ls8c_ard_3-1-0_109079_2019-12-05_final
2019-12-07 11:04:28	ga_ls8c_ard_3-1-0_107081_2019-12-07_final
2019-12-08 10:06:27	ga_ls8c_ard_3-1-0_098075_2019-12-08_final
2019-12-08 10:08:03	ga_ls8c_ard_3-1-0_098079_2019-12-08_final
2019-12-10 09:53:41	ga_ls8c_ard_3-1-0_096074_2019-12-10_final
2019-12-10 09:56:53	ga_ls8c_ard_3-1-0_096082_2019-12-10_final
2019-12-10 11:30:11	ga_ls8c_ard_3-1-0_112068_2019-12-10_final
2019-12-25 09:16:46	ga_ls8c_ard_3-1-0_089090_2019-12-24_final
2019-12-26 09:56:02	ga_ls8c_ard_3-1-0_096080_2019-12-26_final
2020-01-04 09:44:37	ga_ls8c_ard_3-1-0_095067_2020-01-04_final
2020-01-15 11:10:07	ga_ls8c_ard_3-1-0_108080_2020-01-15_final
2020-01-19 10:41:23	ga_ls8c_ard_3-1-0_104070_2020-01-19_final
2020-01-21 10:30:37	ga_ls8c_ard_3-1-0_102074_2020-01-21_final
2020-01-29 11:21:36	ga_ls8c_ard_3-1-0_110078_2020-01-29_final
2020-02-03 10:01:14	ga_ls8c_ard_3-1-0_097078_2020-02-03_final
2020-02-05 09:48:51	ga_ls8c_ard_3-1-0_095078_2020-02-05_final
2020-02-07 11:17:22	ga_ls8c_ard_3-1-0_109083_2020-02-07_final
2020-02-09 11:03:25	ga_ls8c_ard_3-1-0_107079_2020-02-09_final
2020-02-10 10:05:23	ga_ls8c_ard_3-1-0_098073_2020-02-10_final
2020-02-13 10:36:41	ga_ls8c_ard_3-1-0_103074_2020-02-13_final
2020-02-17 10:11:57	ga_ls8c_ard_3-1-0_099074_2020-02-17_final
2020-02-22 10:29:40	ga_ls8c_ard_3-1-0_102072_2020-02-22_final
2020-03-06 09:59:05	ga_ls8c_ard_3-1-0_097073_2020-03-06_final
2020-03-10 09:32:21	ga_ls8c_ard_3-1-0_093068_2020-03-10_final
2020-03-10 11:12:02	ga_ls8c_ard_3-1-0_109070_2020-03-10_final
2020-03-17 09:44:27	ga_ls8c_ard_3-1-0_094083_2020-03-17_final
2020-03-27 10:20:39	ga_ls8c_ard_3-1-0_100081_2020-03-27_final
2020-04-13 11:00:11	ga_ls8c_ard_3-1-0_107072_2020-04-13_final
2020-04-16 09:55:46	ga_ls8c_ard_3-1-0_096081_2020-04-16_final
2020-04-28 10:17:12	ga_ls8c_ard_3-1-0_100073_2020-04-28_final
2020-05-06 09:31:16	ga_ls8c_ard_3-1-0_092082_2020-05-06_final
2020-05-06 09:32:04	ga_ls8c_ard_3-1-0_092084_2020-05-06_final
2020-05-06 11:05:46	ga_ls8c_ard_3-1-0_108071_2020-05-06_final
2022-04-05 09:13:52	ga_ls8c_ard_3-2-1_089084_2022-04-04_final
2022-04-08 09:42:25	ga_ls8c_ard_3-2-1_094078_2022-04-08_final
2022-04-10 11:05:22	ga_ls8c_ard_3-2-1_108069_2022-04-10_final
2022-04-11 10:12:08	ga_ls8c_ard_3-2-1_099075_2022-04-11_final
2022-04-14 10:43:27	ga_ls8c_ard_3-2-1_104076_2022-04-14_final
2022-04-17 09:37:04	ga_ls8c_ard_3-2-1_093080_2022-04-17_final
2022-04-17 11:11:58	ga_ls8c_ard_3-2-1_109070_2022-04-17_final
2022-04-28 10:56:08	ga_ls8c_ard_3-2-1_106077_2022-04-28_final
2022-04-29 11:40:12	ga_ls8c_ard_3-2-1_113079_2022-04-29_final
2022-04-30 10:45:23	ga_ls8c_ard_3-2-1_104081_2022-04-30_final
2022-05-03 11:11:33	ga_ls8c_ard_3-2-1_109069_2022-05-03_final
2022-05-05 11:00:48	ga_ls8c_ard_3-2-1_107073_2022-05-05_final
2022-05-07 10:51:15	ga_ls8c_ard_3-2-1_105080_2022-05-07_final
2022-05-11 10:23:23	ga_ls8c_ard_3-2-1_101072_2022-05-11_final
2022-05-17 11:27:37	ga_ls8c_ard_3-2-1_111078_2022-05-17_final
2022-06-16 11:41:49	ga_ls8c_ard_3-2-1_113082_2022-06-16_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