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
2019-03-15 09:37:49	ga_ls8c_ard_3-1-0_094067_2019-03-15_final
2019-03-15 09:41:49	ga_ls8c_ard_3-1-0_094077_2019-03-15_final
2019-03-15 09:44:12	ga_ls8c_ard_3-1-0_094083_2019-03-15_final
2019-03-15 09:45:48	ga_ls8c_ard_3-1-0_094087_2019-03-15_final
2019-03-18 11:51:35	ga_ls8c_ard_3-1-0_115077_2019-03-18_final
2019-03-22 09:50:46	ga_ls8c_ard_3-1-0_095084_2019-03-22_final
2019-03-31 09:41:46	ga_ls8c_ard_3-1-0_094077_2019-03-31_final
2019-03-31 09:44:09	ga_ls8c_ard_3-1-0_094083_2019-03-31_final
2019-03-31 09:45:45	ga_ls8c_ard_3-1-0_094087_2019-03-31_final
2019-04-07 09:47:55	ga_ls8c_ard_3-1-0_095077_2019-04-07_final
2019-04-10 11:57:17	ga_ls8c_ard_3-1-0_116076_2019-04-10_final
2019-04-16 09:37:41	ga_ls8c_ard_3-1-0_094067_2019-04-16_final
2019-04-19 11:51:26	ga_ls8c_ard_3-1-0_115077_2019-04-19_final
2019-06-19 09:38:05	ga_ls8c_ard_3-1-0_094067_2019-06-19_final
2019-06-19 09:42:04	ga_ls8c_ard_3-1-0_094077_2019-06-19_final
2019-06-26 09:51:04	ga_ls8c_ard_3-1-0_095084_2019-06-26_final
2019-07-05 09:38:09	ga_ls8c_ard_3-1-0_094067_2019-07-05_final
2019-07-05 09:42:08	ga_ls8c_ard_3-1-0_094077_2019-07-05_final
2019-07-08 11:51:56	ga_ls8c_ard_3-1-0_115077_2019-07-08_final
2019-07-12 09:51:08	ga_ls8c_ard_3-1-0_095084_2019-07-12_final
2019-07-21 09:38:12	ga_ls8c_ard_3-1-0_094067_2019-07-21_final
2019-07-28 09:48:25	ga_ls8c_ard_3-1-0_095077_2019-07-28_final
2019-07-28 09:51:13	ga_ls8c_ard_3-1-0_095084_2019-07-28_final
2019-07-31 11:57:26	ga_ls8c_ard_3-1-0_116075_2019-07-31_final
2019-08-06 09:46:18	ga_ls8c_ard_3-1-0_094087_2019-08-06_final
2019-08-09 11:52:06	ga_ls8c_ard_3-1-0_115077_2019-08-09_final
2019-08-13 09:48:31	ga_ls8c_ard_3-1-0_095077_2019-08-13_final
2019-08-16 11:57:31	ga_ls8c_ard_3-1-0_116075_2019-08-16_final
2019-08-22 09:42:23	ga_ls8c_ard_3-1-0_094077_2019-08-22_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-08-25 11:52:11	ga_ls8c_ard_3-1-0_115077_2019-08-25_final
2019-08-29 09:48:35	ga_ls8c_ard_3-1-0_095077_2019-08-29_final
2019-08-29 09:51:23	ga_ls8c_ard_3-1-0_095084_2019-08-29_final
2019-09-01 11:57:35	ga_ls8c_ard_3-1-0_116075_2019-09-01_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-10 11:52:15	ga_ls8c_ard_3-1-0_115077_2019-09-10_final
2019-09-14 09:48:40	ga_ls8c_ard_3-1-0_095077_2019-09-14_final
2019-09-23 09:38:33	ga_ls8c_ard_3-1-0_094067_2019-09-23_final
2019-09-26 11:52:20	ga_ls8c_ard_3-1-0_115077_2019-09-26_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-10-12 11:52:23	ga_ls8c_ard_3-1-0_115077_2019-10-12_final
2019-10-16 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-10-16_final
2019-10-16 09:49:35	ga_ls8c_ard_3-1-0_095079_2019-10-16_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_final
2019-10-28 11:52:24	ga_ls8c_ard_3-1-0_115077_2019-10-28_final
2019-11-01 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-11-01_final
2019-11-01 09:51:11	ga_ls8c_ard_3-1-0_095083_2019-11-01_final
2019-11-04 11:57:46	ga_ls8c_ard_3-1-0_116075_2019-11-04_final
2019-11-10 09:38:36	ga_ls8c_ard_3-1-0_094067_2019-11-10_final
2019-11-10 09:44:59	ga_ls8c_ard_3-1-0_094083_2019-11-10_final
2019-11-10 09:46:35	ga_ls8c_ard_3-1-0_094087_2019-11-10_final
2019-11-13 11:52:22	ga_ls8c_ard_3-1-0_115077_2019-11-13_final
2019-11-20 11:57:43	ga_ls8c_ard_3-1-0_116075_2019-11-20_final
2019-11-26 09:38:33	ga_ls8c_ard_3-1-0_094067_2019-11-26_final
2019-11-26 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-11-26_final
2019-11-29 11:52:19	ga_ls8c_ard_3-1-0_115077_2019-11-29_final
2019-12-03 09:48:43	ga_ls8c_ard_3-1-0_095077_2019-12-03_final
2019-12-03 09:51:31	ga_ls8c_ard_3-1-0_095084_2019-12-03_final
2019-12-06 11:57:42	ga_ls8c_ard_3-1-0_116075_2019-12-06_final
2019-12-12 09:46:31	ga_ls8c_ard_3-1-0_094087_2019-12-12_final
2019-12-22 11:57:39	ga_ls8c_ard_3-1-0_116075_2019-12-22_final
2019-12-24 11:46:05	ga_ls8c_ard_3-1-0_114077_2019-12-24_final
2019-12-28 09:38:28	ga_ls8c_ard_3-1-0_094067_2019-12-28_final
2019-12-28 09:46:27	ga_ls8c_ard_3-1-0_094087_2019-12-28_final
2019-12-31 11:52:14	ga_ls8c_ard_3-1-0_115077_2019-12-31_final
2020-01-04 09:49:24	ga_ls8c_ard_3-1-0_095079_2020-01-04_final
2020-01-04 09:51:24	ga_ls8c_ard_3-1-0_095084_2020-01-04_final
2020-01-07 11:57:35	ga_ls8c_ard_3-1-0_116075_2020-01-07_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-01-20 09:48:33	ga_ls8c_ard_3-1-0_095077_2020-01-20_final
2020-01-20 09:51:21	ga_ls8c_ard_3-1-0_095084_2020-01-20_final
2020-02-01 11:52:05	ga_ls8c_ard_3-1-0_115077_2020-02-01_final
2020-02-05 09:48:27	ga_ls8c_ard_3-1-0_095077_2020-02-05_final
2020-02-14 09:38:16	ga_ls8c_ard_3-1-0_094067_2020-02-14_final
2020-02-14 09:46:15	ga_ls8c_ard_3-1-0_094087_2020-02-14_final
2020-02-17 11:52:02	ga_ls8c_ard_3-1-0_115077_2020-02-17_final
2020-02-21 09:48:24	ga_ls8c_ard_3-1-0_095077_2020-02-21_final
2020-02-21 09:51:12	ga_ls8c_ard_3-1-0_095084_2020-02-21_final
2020-02-24 11:57:23	ga_ls8c_ard_3-1-0_116075_2020-02-24_final
2020-03-01 09:38:11	ga_ls8c_ard_3-1-0_094067_2020-03-01_final
2020-03-01 09:46:10	ga_ls8c_ard_3-1-0_094087_2020-03-01_final
2020-03-08 09:48:19	ga_ls8c_ard_3-1-0_095077_2020-03-08_final
2020-03-11 11:57:17	ga_ls8c_ard_3-1-0_116075_2020-03-11_final
2020-03-17 09:38:04	ga_ls8c_ard_3-1-0_094067_2020-03-17_final
2020-03-17 09:44:27	ga_ls8c_ard_3-1-0_094083_2020-03-17_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-24 09:48:11	ga_ls8c_ard_3-1-0_095077_2020-03-24_final
2020-03-27 11:57:08	ga_ls8c_ard_3-1-0_116075_2020-03-27_final
2020-04-02 09:37:55	ga_ls8c_ard_3-1-0_094067_2020-04-02_final
2020-04-02 09:41:54	ga_ls8c_ard_3-1-0_094077_2020-04-02_final
2020-04-02 09:44:18	ga_ls8c_ard_3-1-0_094083_2020-04-02_final
2020-04-02 09:45:54	ga_ls8c_ard_3-1-0_094087_2020-04-02_final
2020-04-18 09:37:48	ga_ls8c_ard_3-1-0_094067_2020-04-18_final
2020-04-18 09:45:47	ga_ls8c_ard_3-1-0_094087_2020-04-18_final
2020-04-21 11:51:33	ga_ls8c_ard_3-1-0_115077_2020-04-21_final
2020-04-25 09:47:55	ga_ls8c_ard_3-1-0_095077_2020-04-25_final
2020-04-25 09:48:43	ga_ls8c_ard_3-1-0_095079_2020-04-25_final
2020-04-25 09:50:43	ga_ls8c_ard_3-1-0_095084_2020-04-25_final
2020-04-28 11:56:53	ga_ls8c_ard_3-1-0_116075_2020-04-28_final
2020-05-04 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-04_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