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
2016-11-07 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-11-07_final
2016-11-15 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-14_final
2016-11-24 08:18:14	ga_ls8c_ard_3-2-1_079098_2016-11-23_final
2016-11-27 08:42:45	ga_ls8c_ard_3-2-1_084082_2016-11-26_final
2016-12-01 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-30_final
2016-12-02 14:03:55	ga_ls8c_ard_3-2-1_135097_2016-12-02_final
2016-12-10 08:18:12	ga_ls8c_ard_3-2-1_079098_2016-12-09_final
2016-12-18 14:03:51	ga_ls8c_ard_3-2-1_135097_2016-12-18_final
2017-09-16 14:03:43	ga_ls8c_ard_3-2-1_135097_2017-09-16_final
2017-10-01 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-09-30_final
2017-10-02 14:03:50	ga_ls8c_ard_3-2-1_135097_2017-10-02_final
2017-10-10 08:18:11	ga_ls8c_ard_3-2-1_079098_2017-10-09_final
2017-10-13 08:42:42	ga_ls8c_ard_3-2-1_084082_2017-10-12_final
2017-10-17 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-10-16_final
2017-10-18 14:03:54	ga_ls8c_ard_3-2-1_135097_2017-10-18_final
2017-10-26 08:18:12	ga_ls8c_ard_3-2-1_079098_2017-10-25_final
2017-10-29 08:42:43	ga_ls8c_ard_3-2-1_084082_2017-10-28_final
2017-11-02 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-11-01_final
2017-11-11 08:18:10	ga_ls8c_ard_3-2-1_079098_2017-11-10_final
2017-11-15 12:37:42	ga_ls8c_ard_3-2-1_123067_2017-11-15_final
2017-11-18 08:24:19	ga_ls8c_ard_3-2-1_080098_2017-11-17_final
2017-11-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2017-11-24_final
2017-11-27 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-11-26_final
2017-12-01 12:37:36	ga_ls8c_ard_3-2-1_123067_2017-12-01_final
2017-12-04 08:24:14	ga_ls8c_ard_3-2-1_080098_2017-12-03_final
2017-12-10 12:31:25	ga_ls8c_ard_3-2-1_122067_2017-12-10_final
2017-12-13 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-12-12_final
2017-12-20 08:24:17	ga_ls8c_ard_3-2-1_080098_2017-12-19_final
2017-12-29 08:18:04	ga_ls8c_ard_3-2-1_079098_2017-12-28_final
2018-09-27 08:10:25	ga_ls8c_ard_3-2-1_079080_2018-09-26_final
2018-10-01 12:37:12	ga_ls8c_ard_3-2-1_123067_2018-10-01_final
2018-10-10 12:31:05	ga_ls8c_ard_3-2-1_122067_2018-10-10_final
2018-10-13 08:10:32	ga_ls8c_ard_3-2-1_079080_2018-10-12_final
2018-10-16 08:42:15	ga_ls8c_ard_3-2-1_084082_2018-10-15_final
2018-10-18 10:02:24	ga_ls8c_ard_3-2-1_098066_2018-10-18_final
2018-10-20 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-10-19_final
2018-10-28 14:09:41	ga_ls8c_ard_3-2-1_136097_2018-10-28_final
2018-10-29 08:10:37	ga_ls8c_ard_3-2-1_079080_2018-10-28_final
2018-10-29 08:17:48	ga_ls8c_ard_3-2-1_079098_2018-10-28_final
2018-11-02 12:37:22	ga_ls8c_ard_3-2-1_123067_2018-11-02_final
2018-11-13 14:09:43	ga_ls8c_ard_3-2-1_136097_2018-11-13_final
2018-11-18 12:37:24	ga_ls8c_ard_3-2-1_123067_2018-11-18_final
2018-11-24 08:48:31	ga_ls8c_ard_3-2-1_085082_2018-11-23_final
2018-12-04 12:37:22	ga_ls8c_ard_3-2-1_123067_2018-12-04_final
2018-12-10 08:48:28	ga_ls8c_ard_3-2-1_085082_2018-12-09_final
2018-12-15 14:09:39	ga_ls8c_ard_3-2-1_136097_2018-12-15_final
2018-12-31 14:09:39	ga_ls8c_ard_3-2-1_136097_2018-12-31_final
2019-09-18 12:37:45	ga_ls8c_ard_3-2-1_123067_2019-09-18_final
2019-09-30 08:11:04	ga_ls8c_ard_3-2-1_079080_2019-09-29_final
2019-10-05 10:02:55	ga_ls8c_ard_3-2-1_098066_2019-10-05_final
2019-10-10 08:48:58	ga_ls8c_ard_3-2-1_085082_2019-10-09_final
2019-10-15 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-15_final
2019-10-20 12:37:51	ga_ls8c_ard_3-2-1_123067_2019-10-20_final
2019-10-26 08:48:59	ga_ls8c_ard_3-2-1_085082_2019-10-25_final
2019-10-31 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-31_final
2019-11-04 08:42:48	ga_ls8c_ard_3-2-1_084082_2019-11-03_final
2019-11-11 08:48:57	ga_ls8c_ard_3-2-1_085082_2019-11-10_final
2019-11-20 08:42:44	ga_ls8c_ard_3-2-1_084082_2019-11-19_final
2019-11-27 08:48:55	ga_ls8c_ard_3-2-1_085082_2019-11-26_final
2019-12-03 08:11:02	ga_ls8c_ard_3-2-1_079080_2019-12-02_final
2019-12-13 08:48:54	ga_ls8c_ard_3-2-1_085082_2019-12-12_final
2019-12-18 14:10:04	ga_ls8c_ard_3-2-1_136097_2019-12-18_final
2019-12-26 08:24:20	ga_ls8c_ard_3-2-1_080098_2019-12-25_final
2020-01-04 08:18:06	ga_ls8c_ard_3-2-1_079098_2020-01-03_final
2020-01-07 08:42:37	ga_ls8c_ard_3-2-1_084082_2020-01-06_final
2020-01-11 08:24:16	ga_ls8c_ard_3-2-1_080098_2020-01-10_final
2020-01-23 08:42:33	ga_ls8c_ard_3-2-1_084082_2020-01-22_final
2020-01-28 14:03:42	ga_ls8c_ard_3-2-1_135097_2020-01-28_final
2020-02-08 08:42:28	ga_ls8c_ard_3-2-1_084082_2020-02-07_final
2020-02-24 08:42:24	ga_ls8c_ard_3-2-1_084082_2020-02-23_final
2020-02-28 08:24:03	ga_ls8c_ard_3-2-1_080098_2020-02-27_final
2020-02-29 14:03:34	ga_ls8c_ard_3-2-1_135097_2020-02-29_final
2020-03-11 08:42:18	ga_ls8c_ard_3-2-1_084082_2020-03-10_final
2020-03-12 12:37:20	ga_ls8c_ard_3-2-1_123067_2020-03-12_final
2020-03-15 08:23:56	ga_ls8c_ard_3-2-1_080098_2020-03-14_final
2020-03-16 14:03:27	ga_ls8c_ard_3-2-1_135097_2020-03-16_final
2020-03-27 08:42:10	ga_ls8c_ard_3-2-1_084082_2020-03-26_final
2020-03-31 08:23:47	ga_ls8c_ard_3-2-1_080098_2020-03-30_final
2020-04-01 14:03:17	ga_ls8c_ard_3-2-1_135097_2020-04-01_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2020-04-16 08:23:40	ga_ls8c_ard_3-2-1_080098_2020-04-15_final
2020-04-17 14:03:11	ga_ls8c_ard_3-2-1_135097_2020-04-17_final
2020-04-22 12:30:49	ga_ls8c_ard_3-2-1_122067_2020-04-22_final
2020-05-02 08:23:32	ga_ls8c_ard_3-2-1_080098_2020-05-01_final
2020-05-16 10:01:58	ga_ls8c_ard_3-2-1_098066_2020-05-16_final
2020-05-18 08:23:31	ga_ls8c_ard_3-2-1_080098_2020-05-17_final
2020-05-24 12:30:43	ga_ls8c_ard_3-2-1_122067_2020-05-24_final
2020-06-01 10:02:03	ga_ls8c_ard_3-2-1_098066_2020-06-01_final
2020-06-09 12:30:52	ga_ls8c_ard_3-2-1_122067_2020-06-09_final
2020-06-22 08:48:18	ga_ls8c_ard_3-2-1_085082_2020-06-21_final
2020-06-25 12:31:01	ga_ls8c_ard_3-2-1_122067_2020-06-25_final
2020-07-11 12:31:07	ga_ls8c_ard_3-2-1_122067_2020-07-11_final
2020-07-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2020-07-27_final
2020-08-04 10:02:30	ga_ls8c_ard_3-2-1_098066_2020-08-04_final
2020-08-09 08:48:34	ga_ls8c_ard_3-2-1_085082_2020-08-08_final
2020-08-23 14:03:41	ga_ls8c_ard_3-2-1_135097_2020-08-23_final
2020-08-25 08:48:41	ga_ls8c_ard_3-2-1_085082_2020-08-24_final
2020-09-08 14:03:48	ga_ls8c_ard_3-2-1_135097_2020-09-08_final
2020-09-10 08:48:48	ga_ls8c_ard_3-2-1_085082_2020-09-09_final
2020-09-13 12:31:31	ga_ls8c_ard_3-2-1_122067_2020-09-13_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