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
2019-08-27 09:56:57	ga_ls8c_ard_3-1-0_097067_2019-08-27_final
2019-08-27 09:57:21	ga_ls8c_ard_3-1-0_097068_2019-08-27_final
2019-08-27 09:57:45	ga_ls8c_ard_3-1-0_097069_2019-08-27_final
2019-08-27 09:58:09	ga_ls8c_ard_3-1-0_097070_2019-08-27_final
2019-09-09 09:33:41	ga_ls8c_ard_3-1-0_092086_2019-09-09_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-09-28 09:57:07	ga_ls8c_ard_3-1-0_097067_2019-09-28_final
2019-09-28 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-09-28_final
2019-09-28 09:57:55	ga_ls8c_ard_3-1-0_097069_2019-09-28_final
2019-09-28 09:58:18	ga_ls8c_ard_3-1-0_097070_2019-09-28_final
2019-12-01 09:57:05	ga_ls8c_ard_3-1-0_097067_2019-12-01_final
2019-12-01 09:57:29	ga_ls8c_ard_3-1-0_097068_2019-12-01_final
2019-12-01 09:57:53	ga_ls8c_ard_3-1-0_097069_2019-12-01_final
2019-12-01 09:58:17	ga_ls8c_ard_3-1-0_097070_2019-12-01_final
2019-12-03 09:47:07	ga_ls8c_ard_3-1-0_095073_2019-12-03_final
2019-12-03 09:47:31	ga_ls8c_ard_3-1-0_095074_2019-12-03_final
2019-12-03 09:47:55	ga_ls8c_ard_3-1-0_095075_2019-12-03_final
2019-12-03 09:48:19	ga_ls8c_ard_3-1-0_095076_2019-12-03_final
2019-12-03 09:48:43	ga_ls8c_ard_3-1-0_095077_2019-12-03_final
2019-12-03 09:49:07	ga_ls8c_ard_3-1-0_095078_2019-12-03_final
2019-12-03 09:49:31	ga_ls8c_ard_3-1-0_095079_2019-12-03_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 09:47:27	ga_ls8c_ard_3-2-0_095074_2021-01-06_final
2021-01-06 09:47:51	ga_ls8c_ard_3-2-0_095075_2021-01-06_final
2021-01-06 09:48:15	ga_ls8c_ard_3-2-0_095076_2021-01-06_final
2021-01-06 09:48:39	ga_ls8c_ard_3-2-0_095077_2021-01-06_final
2021-01-06 09:49:03	ga_ls8c_ard_3-2-0_095078_2021-01-06_final
2021-01-06 09:49:27	ga_ls8c_ard_3-2-0_095079_2021-01-06_final
2021-02-18 09:33:31	ga_ls8c_ard_3-2-0_092086_2021-02-18_final
2021-02-18 09:35:06	ga_ls8c_ard_3-2-0_092090_2021-02-18_final
2021-03-13 09:37:54	ga_ls8c_ard_3-2-0_093082_2021-03-13_final
2021-03-13 09:38:18	ga_ls8c_ard_3-2-0_093083_2021-03-13_final
2021-03-13 09:38:42	ga_ls8c_ard_3-2-0_093084_2021-03-13_final
2021-03-13 09:39:06	ga_ls8c_ard_3-2-0_093085_2021-03-13_final
2021-03-13 09:39:30	ga_ls8c_ard_3-2-0_093086_2021-03-13_final
2021-03-13 09:39:54	ga_ls8c_ard_3-2-0_093087_2021-03-13_final
2021-03-18 09:51:12	ga_ls8c_ard_3-2-0_096069_2021-03-18_final
2021-03-18 09:51:36	ga_ls8c_ard_3-2-0_096070_2021-03-18_final
2021-03-18 09:52:00	ga_ls8c_ard_3-2-0_096071_2021-03-18_final
2021-03-18 09:52:24	ga_ls8c_ard_3-2-0_096072_2021-03-18_final
2021-03-18 09:52:48	ga_ls8c_ard_3-2-0_096073_2021-03-18_final
2021-03-18 09:53:12	ga_ls8c_ard_3-2-0_096074_2021-03-18_final
2021-04-03 09:51:09	ga_ls8c_ard_3-2-0_096069_2021-04-03_final
2021-04-03 09:51:33	ga_ls8c_ard_3-2-0_096070_2021-04-03_final
2021-04-03 09:51:57	ga_ls8c_ard_3-2-0_096071_2021-04-03_final
2021-04-03 09:52:21	ga_ls8c_ard_3-2-0_096072_2021-04-03_final
2021-04-03 09:52:45	ga_ls8c_ard_3-2-0_096073_2021-04-03_final
2021-04-03 09:53:09	ga_ls8c_ard_3-2-0_096074_2021-04-03_final
2021-04-05 09:42:22	ga_ls8c_ard_3-2-0_094078_2021-04-05_final
2021-04-05 09:42:46	ga_ls8c_ard_3-2-0_094079_2021-04-05_final
2021-04-05 09:43:10	ga_ls8c_ard_3-2-0_094080_2021-04-05_final
2021-04-05 09:43:34	ga_ls8c_ard_3-2-0_094081_2021-04-05_final
2021-04-05 09:43:58	ga_ls8c_ard_3-2-0_094082_2021-04-05_final
2021-04-05 09:44:22	ga_ls8c_ard_3-2-0_094083_2021-04-05_final
2021-04-07 09:33:12	ga_ls8c_ard_3-2-0_092086_2021-04-07_final
2021-04-07 09:33:36	ga_ls8c_ard_3-2-0_092087_2021-04-07_final
2021-04-07 09:33:59	ga_ls8c_ard_3-2-0_092088_2021-04-07_final
2021-04-07 09:34:23	ga_ls8c_ard_3-2-0_092089_2021-04-07_final
2021-04-07 09:34:47	ga_ls8c_ard_3-2-0_092090_2021-04-07_final
2021-04-10 09:56:30	ga_ls8c_ard_3-2-0_097067_2021-04-10_final
2021-04-10 09:56:54	ga_ls8c_ard_3-2-0_097068_2021-04-10_final
2021-04-10 09:57:18	ga_ls8c_ard_3-2-0_097069_2021-04-10_final
2021-04-10 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-04-10_final
2021-08-09 09:51:30	ga_ls8c_ard_3-2-0_096069_2021-08-09_final
2021-08-09 09:51:54	ga_ls8c_ard_3-2-0_096070_2021-08-09_final
2021-08-09 09:52:18	ga_ls8c_ard_3-2-0_096071_2021-08-09_final
2021-08-09 09:52:42	ga_ls8c_ard_3-2-0_096072_2021-08-09_final
2021-08-09 09:53:06	ga_ls8c_ard_3-2-0_096073_2021-08-09_final
2021-08-09 09:53:30	ga_ls8c_ard_3-2-0_096074_2021-08-09_final
2021-08-11 09:42:44	ga_ls8c_ard_3-2-0_094078_2021-08-11_final
2021-08-11 09:43:08	ga_ls8c_ard_3-2-0_094079_2021-08-11_final
2021-08-11 09:43:32	ga_ls8c_ard_3-2-0_094080_2021-08-11_final
2021-08-11 09:43:56	ga_ls8c_ard_3-2-0_094081_2021-08-11_final
2021-08-11 09:44:20	ga_ls8c_ard_3-2-0_094082_2021-08-11_final
2021-08-11 09:44:44	ga_ls8c_ard_3-2-0_094083_2021-08-11_final
2021-08-13 09:33:11	ga_ls8c_ard_3-2-0_092085_2021-08-13_final
2021-08-13 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-08-13_final
2021-08-13 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-08-13_final
2021-08-13 09:34:23	ga_ls8c_ard_3-2-0_092088_2021-08-13_final
2021-08-13 09:34:47	ga_ls8c_ard_3-2-0_092089_2021-08-13_final
2021-08-13 09:35:11	ga_ls8c_ard_3-2-0_092090_2021-08-13_final
2021-08-16 09:56:55	ga_ls8c_ard_3-2-0_097067_2021-08-16_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-16 09:57:43	ga_ls8c_ard_3-2-0_097069_2021-08-16_final
2021-08-16 09:58:07	ga_ls8c_ard_3-2-0_097070_2021-08-16_final
2021-08-18 09:46:58	ga_ls8c_ard_3-2-0_095073_2021-08-18_final
2021-08-18 09:47:22	ga_ls8c_ard_3-2-0_095074_2021-08-18_final
2021-08-18 09:47:46	ga_ls8c_ard_3-2-0_095075_2021-08-18_final
2021-08-18 09:48:10	ga_ls8c_ard_3-2-0_095076_2021-08-18_final
2021-08-18 09:48:33	ga_ls8c_ard_3-2-0_095077_2021-08-18_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2021-08-18 09:49:21	ga_ls8c_ard_3-2-0_095079_2021-08-18_final
2021-08-20 09:38:12	ga_ls8c_ard_3-2-0_093082_2021-08-20_final
2021-08-20 09:38:36	ga_ls8c_ard_3-2-0_093083_2021-08-20_final
2021-08-20 09:39:00	ga_ls8c_ard_3-2-0_093084_2021-08-20_final
2021-08-20 09:39:24	ga_ls8c_ard_3-2-0_093085_2021-08-20_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years