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:

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First 100 results (query limit)

Time (local)	Label
2015-10-17 11:50:25	ga_ls8c_ard_3-0-0_115073_2015-10-17_final
2015-10-17 11:50:49	ga_ls8c_ard_3-0-0_115074_2015-10-17_final
2015-10-17 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-10-17_final
2015-10-17 11:51:37	ga_ls8c_ard_3-0-0_115076_2015-10-17_final
2015-10-17 11:52:01	ga_ls8c_ard_3-0-0_115077_2015-10-17_final
2015-11-25 11:57:08	ga_ls8c_ard_3-0-0_116074_2015-11-25_final
2018-05-25 11:55:52	ga_ls8c_ard_3-0-0_116074_2018-05-25_final
2018-05-27 11:45:05	ga_ls8c_ard_3-0-0_114078_2018-05-27_final
2018-05-27 11:45:29	ga_ls8c_ard_3-0-0_114079_2018-05-27_final
2018-05-27 11:45:53	ga_ls8c_ard_3-0-0_114080_2018-05-27_final
2018-05-27 11:46:17	ga_ls8c_ard_3-0-0_114081_2018-05-27_final
2018-06-14 11:35:32	ga_ls8c_ard_3-0-0_112085_2018-06-14_final
2018-06-26 11:56:00	ga_ls8c_ard_3-0-0_116074_2018-06-26_final
2018-06-30 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-06-30_final
2018-07-12 11:56:08	ga_ls8c_ard_3-0-0_116074_2018-07-12_final
2018-08-06 11:49:45	ga_ls8c_ard_3-0-0_115073_2018-08-06_final
2018-08-06 11:50:09	ga_ls8c_ard_3-0-0_115074_2018-08-06_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2018-08-06 11:50:57	ga_ls8c_ard_3-0-0_115076_2018-08-06_final
2018-08-06 11:51:21	ga_ls8c_ard_3-0-0_115077_2018-08-06_final
2018-08-06 11:51:45	ga_ls8c_ard_3-0-0_115078_2018-08-06_final
2018-08-06 11:52:09	ga_ls8c_ard_3-0-0_115079_2018-08-06_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-08-08 11:41:24	ga_ls8c_ard_3-0-0_113083_2018-08-08_final
2018-08-08 11:41:48	ga_ls8c_ard_3-0-0_113084_2018-08-08_final
2018-08-13 11:56:24	ga_ls8c_ard_3-0-0_116074_2018-08-13_final
2018-08-17 11:36:06	ga_ls8c_ard_3-0-0_112085_2018-08-17_final
2018-09-02 11:36:13	ga_ls8c_ard_3-0-0_112085_2018-09-02_final
2018-09-30 11:56:43	ga_ls8c_ard_3-0-0_116074_2018-09-30_final
2018-10-20 11:36:31	ga_ls8c_ard_3-0-0_112085_2018-10-20_final
2018-11-05 11:36:35	ga_ls8c_ard_3-0-0_112085_2018-11-05_final
2018-12-03 11:56:54	ga_ls8c_ard_3-0-0_116074_2018-12-03_final
2018-12-19 11:56:52	ga_ls8c_ard_3-0-0_116074_2018-12-19_final
2019-12-08 11:46:32	ga_ls8c_ard_3-1-0_114078_2019-12-08_final
2019-12-08 11:46:56	ga_ls8c_ard_3-1-0_114079_2019-12-08_final
2019-12-08 11:47:20	ga_ls8c_ard_3-1-0_114080_2019-12-08_final
2019-12-08 11:47:44	ga_ls8c_ard_3-1-0_114081_2019-12-08_final
2019-12-15 11:50:42	ga_ls8c_ard_3-2-0_115073_2019-12-15_final
2019-12-15 11:51:06	ga_ls8c_ard_3-2-0_115074_2019-12-15_final
2019-12-15 11:51:30	ga_ls8c_ard_3-2-0_115075_2019-12-15_final
2019-12-15 11:51:54	ga_ls8c_ard_3-2-0_115076_2019-12-15_final
2019-12-15 11:52:18	ga_ls8c_ard_3-2-0_115077_2019-12-15_final
2019-12-15 11:52:42	ga_ls8c_ard_3-2-0_115078_2019-12-15_final
2019-12-15 11:53:06	ga_ls8c_ard_3-2-0_115079_2019-12-15_final
2019-12-22 11:57:15	ga_ls8c_ard_3-1-0_116074_2019-12-22_final
2019-12-31 11:50:38	ga_ls8c_ard_3-1-0_115073_2019-12-31_final
2019-12-31 11:51:02	ga_ls8c_ard_3-1-0_115074_2019-12-31_final
2019-12-31 11:51:26	ga_ls8c_ard_3-1-0_115075_2019-12-31_final
2019-12-31 11:51:50	ga_ls8c_ard_3-1-0_115076_2019-12-31_final
2019-12-31 11:52:14	ga_ls8c_ard_3-1-0_115077_2019-12-31_final
2019-12-31 11:52:38	ga_ls8c_ard_3-1-0_115078_2019-12-31_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-01-02 11:41:51	ga_ls8c_ard_3-1-0_113082_2020-01-02_final
2020-01-02 11:42:15	ga_ls8c_ard_3-1-0_113083_2020-01-02_final
2020-01-02 11:42:39	ga_ls8c_ard_3-1-0_113084_2020-01-02_final
2020-02-10 11:46:16	ga_ls8c_ard_3-1-0_114078_2020-02-10_final
2020-02-10 11:46:40	ga_ls8c_ard_3-1-0_114079_2020-02-10_final
2020-02-10 11:47:04	ga_ls8c_ard_3-1-0_114080_2020-02-10_final
2020-02-10 11:47:28	ga_ls8c_ard_3-1-0_114081_2020-02-10_final
2020-02-19 11:41:39	ga_ls8c_ard_3-1-0_113082_2020-02-19_final
2020-02-19 11:42:03	ga_ls8c_ard_3-1-0_113083_2020-02-19_final
2020-02-19 11:42:27	ga_ls8c_ard_3-1-0_113084_2020-02-19_final
2020-02-26 11:46:12	ga_ls8c_ard_3-1-0_114078_2020-02-26_final
2020-02-26 11:46:36	ga_ls8c_ard_3-1-0_114079_2020-02-26_final
2020-02-26 11:47:00	ga_ls8c_ard_3-1-0_114080_2020-02-26_final
2020-02-26 11:47:24	ga_ls8c_ard_3-1-0_114081_2020-02-26_final
2020-03-20 11:50:13	ga_ls8c_ard_3-1-0_115073_2020-03-20_final
2020-03-20 11:50:37	ga_ls8c_ard_3-1-0_115074_2020-03-20_final
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-03-20 11:51:25	ga_ls8c_ard_3-1-0_115076_2020-03-20_final
2020-03-20 11:51:49	ga_ls8c_ard_3-1-0_115077_2020-03-20_final
2020-03-20 11:52:13	ga_ls8c_ard_3-1-0_115078_2020-03-20_final
2020-03-20 11:52:37	ga_ls8c_ard_3-1-0_115079_2020-03-20_final
2020-03-27 11:56:44	ga_ls8c_ard_3-1-0_116074_2020-03-27_final
2020-04-14 11:45:50	ga_ls8c_ard_3-1-0_114078_2020-04-14_final
2020-04-14 11:46:14	ga_ls8c_ard_3-1-0_114079_2020-04-14_final
2020-04-14 11:46:38	ga_ls8c_ard_3-1-0_114080_2020-04-14_final
2020-04-14 11:47:02	ga_ls8c_ard_3-1-0_114081_2020-04-14_final
2020-05-14 11:56:24	ga_ls8c_ard_3-1-0_116074_2020-05-14_final
2020-05-16 11:45:39	ga_ls8c_ard_3-1-0_114078_2020-05-16_final
2020-05-16 11:46:03	ga_ls8c_ard_3-1-0_114079_2020-05-16_final
2020-05-16 11:46:27	ga_ls8c_ard_3-1-0_114080_2020-05-16_final
2020-05-16 11:46:50	ga_ls8c_ard_3-1-0_114081_2020-05-16_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2020-05-23 11:49:51	ga_ls8c_ard_3-1-0_115073_2020-05-23_final
2020-05-23 11:50:15	ga_ls8c_ard_3-1-0_115074_2020-05-23_final
2020-05-23 11:50:39	ga_ls8c_ard_3-1-0_115075_2020-05-23_final
2020-05-23 11:51:03	ga_ls8c_ard_3-1-0_115076_2020-05-23_final
2020-05-23 11:51:27	ga_ls8c_ard_3-1-0_115077_2020-05-23_final
2020-05-23 11:51:51	ga_ls8c_ard_3-1-0_115078_2020-05-23_final
2020-05-23 11:52:15	ga_ls8c_ard_3-1-0_115079_2020-05-23_final
2020-05-25 11:41:05	ga_ls8c_ard_3-1-0_113082_2020-05-25_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-05-25 11:41:53	ga_ls8c_ard_3-1-0_113084_2020-05-25_final
2020-06-10 11:41:14	ga_ls8c_ard_3-1-0_113082_2020-06-10_final
2020-06-10 11:41:38	ga_ls8c_ard_3-1-0_113083_2020-06-10_final
2020-06-10 11:42:02	ga_ls8c_ard_3-1-0_113084_2020-06-10_final
2020-06-17 11:45:53	ga_ls8c_ard_3-1-0_114078_2020-06-17_final
2020-06-17 11:46:17	ga_ls8c_ard_3-1-0_114079_2020-06-17_final
2020-06-17 11:46:41	ga_ls8c_ard_3-1-0_114080_2020-06-17_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