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
2013-06-07 11:41:17	ga_ls8c_ard_3-0-0_113076_2013-06-07_final
2013-06-07 11:41:41	ga_ls8c_ard_3-0-0_113077_2013-06-07_final
2013-06-07 11:42:04	ga_ls8c_ard_3-0-0_113078_2013-06-07_final
2013-06-07 11:42:28	ga_ls8c_ard_3-0-0_113079_2013-06-07_final
2013-06-07 11:42:52	ga_ls8c_ard_3-0-0_113080_2013-06-07_final
2013-06-07 11:43:16	ga_ls8c_ard_3-0-0_113081_2013-06-07_final
2013-08-17 11:46:38	ga_ls8c_ard_3-0-0_114074_2013-08-17_final
2013-08-17 11:47:02	ga_ls8c_ard_3-0-0_114075_2013-08-17_final
2013-08-17 11:47:26	ga_ls8c_ard_3-0-0_114076_2013-08-17_final
2013-08-17 11:47:50	ga_ls8c_ard_3-0-0_114077_2013-08-17_final
2013-08-19 11:36:41	ga_ls8c_ard_3-0-0_112080_2013-08-19_final
2013-08-19 11:37:05	ga_ls8c_ard_3-0-0_112081_2013-08-19_final
2013-08-19 11:37:29	ga_ls8c_ard_3-0-0_112082_2013-08-19_final
2013-08-19 11:37:53	ga_ls8c_ard_3-0-0_112083_2013-08-19_final
2013-08-19 11:38:17	ga_ls8c_ard_3-0-0_112084_2013-08-19_final
2013-10-04 11:46:31	ga_ls8c_ard_3-0-0_114074_2013-10-04_final
2013-10-04 11:46:55	ga_ls8c_ard_3-0-0_114075_2013-10-04_final
2013-10-04 11:47:19	ga_ls8c_ard_3-0-0_114076_2013-10-04_final
2013-10-04 11:47:43	ga_ls8c_ard_3-0-0_114077_2013-10-04_final
2013-10-06 11:36:33	ga_ls8c_ard_3-0-0_112080_2013-10-06_final
2013-10-06 11:36:57	ga_ls8c_ard_3-0-0_112081_2013-10-06_final
2013-10-06 11:37:21	ga_ls8c_ard_3-0-0_112082_2013-10-06_final
2013-10-06 11:37:45	ga_ls8c_ard_3-0-0_112083_2013-10-06_final
2013-10-06 11:38:09	ga_ls8c_ard_3-0-0_112084_2013-10-06_final
2013-10-13 11:41:07	ga_ls8c_ard_3-0-0_113076_2013-10-13_final
2013-10-13 11:41:31	ga_ls8c_ard_3-0-0_113077_2013-10-13_final
2013-10-13 11:41:55	ga_ls8c_ard_3-0-0_113078_2013-10-13_final
2013-10-13 11:42:19	ga_ls8c_ard_3-0-0_113079_2013-10-13_final
2013-10-13 11:42:43	ga_ls8c_ard_3-0-0_113080_2013-10-13_final
2013-10-13 11:43:07	ga_ls8c_ard_3-0-0_113081_2013-10-13_final
2013-10-15 11:31:56	ga_ls8c_ard_3-0-0_111084_2013-10-15_final
2013-10-20 11:46:27	ga_ls8c_ard_3-0-0_114074_2013-10-20_final
2013-10-20 11:46:51	ga_ls8c_ard_3-0-0_114075_2013-10-20_final
2013-10-20 11:47:15	ga_ls8c_ard_3-0-0_114076_2013-10-20_final
2013-10-20 11:47:39	ga_ls8c_ard_3-0-0_114077_2013-10-20_final
2013-10-22 11:36:28	ga_ls8c_ard_3-0-0_112080_2013-10-22_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-10-22 11:37:15	ga_ls8c_ard_3-0-0_112082_2013-10-22_final
2013-10-22 11:37:39	ga_ls8c_ard_3-0-0_112083_2013-10-22_final
2013-10-22 11:38:03	ga_ls8c_ard_3-0-0_112084_2013-10-22_final
2013-11-14 11:40:57	ga_ls8c_ard_3-0-0_113076_2013-11-14_final
2013-11-14 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-11-14_final
2013-11-14 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-11-14_final
2013-11-14 11:42:09	ga_ls8c_ard_3-0-0_113079_2013-11-14_final
2013-11-14 11:42:33	ga_ls8c_ard_3-0-0_113080_2013-11-14_final
2013-11-14 11:42:57	ga_ls8c_ard_3-0-0_113081_2013-11-14_final
2016-04-03 11:44:16	ga_ls8c_ard_3-0-0_114074_2016-04-03_final
2016-04-03 11:44:40	ga_ls8c_ard_3-0-0_114075_2016-04-03_final
2016-04-03 11:45:04	ga_ls8c_ard_3-0-0_114076_2016-04-03_final
2016-04-05 11:34:18	ga_ls8c_ard_3-0-0_112080_2016-04-05_final
2016-04-05 11:34:42	ga_ls8c_ard_3-0-0_112081_2016-04-05_final
2016-04-05 11:35:06	ga_ls8c_ard_3-0-0_112082_2016-04-05_final
2016-04-05 11:35:30	ga_ls8c_ard_3-0-0_112083_2016-04-05_final
2016-04-05 11:35:54	ga_ls8c_ard_3-0-0_112084_2016-04-05_final
2016-04-05 11:36:18	ga_ls8c_ard_3-0-0_112085_2016-04-05_final
2018-03-17 11:38:48	ga_ls8c_ard_3-0-0_113076_2018-03-17_final
2018-03-17 11:39:12	ga_ls8c_ard_3-0-0_113077_2018-03-17_final
2018-03-17 11:39:36	ga_ls8c_ard_3-0-0_113078_2018-03-17_final
2018-03-17 11:40:00	ga_ls8c_ard_3-0-0_113079_2018-03-17_final
2018-03-17 11:40:23	ga_ls8c_ard_3-0-0_113080_2018-03-17_final
2018-03-17 11:40:47	ga_ls8c_ard_3-0-0_113081_2018-03-17_final
2018-03-19 11:29:37	ga_ls8c_ard_3-0-0_111084_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2020-03-06 11:39:10	ga_ls8c_ard_3-1-0_113076_2020-03-06_final
2020-03-06 11:39:34	ga_ls8c_ard_3-1-0_113077_2020-03-06_final
2020-03-06 11:39:58	ga_ls8c_ard_3-1-0_113078_2020-03-06_final
2020-03-06 11:40:22	ga_ls8c_ard_3-1-0_113079_2020-03-06_final
2020-03-06 11:40:46	ga_ls8c_ard_3-1-0_113080_2020-03-06_final
2020-03-06 11:41:10	ga_ls8c_ard_3-1-0_113081_2020-03-06_final
2020-03-08 11:29:59	ga_ls8c_ard_3-1-0_111084_2020-03-08_final
2020-03-08 11:30:23	ga_ls8c_ard_3-1-0_111085_2020-03-08_final
2020-04-23 11:38:47	ga_ls8c_ard_3-1-0_113076_2020-04-23_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-04-23 11:39:35	ga_ls8c_ard_3-1-0_113078_2020-04-23_final
2020-04-23 11:39:59	ga_ls8c_ard_3-1-0_113079_2020-04-23_final
2020-04-23 11:40:23	ga_ls8c_ard_3-1-0_113080_2020-04-23_final
2020-04-23 11:40:47	ga_ls8c_ard_3-1-0_113081_2020-04-23_final
2021-01-04 11:39:30	ga_ls8c_ard_3-2-0_113076_2021-01-04_final
2021-01-04 11:39:54	ga_ls8c_ard_3-2-0_113077_2021-01-04_final
2021-01-04 11:40:18	ga_ls8c_ard_3-2-0_113078_2021-01-04_final
2021-01-04 11:40:42	ga_ls8c_ard_3-2-0_113079_2021-01-04_final
2021-01-04 11:41:06	ga_ls8c_ard_3-2-0_113080_2021-01-04_final
2021-01-04 11:41:30	ga_ls8c_ard_3-2-0_113081_2021-01-04_final
2021-01-06 11:30:19	ga_ls8c_ard_3-2-0_111084_2021-01-06_final
2021-01-06 11:30:43	ga_ls8c_ard_3-2-0_111085_2021-01-06_final
2021-01-22 11:30:13	ga_ls8c_ard_3-2-0_111084_2021-01-22_final
2021-01-22 11:30:37	ga_ls8c_ard_3-2-0_111085_2021-01-22_final
2021-02-05 11:39:22	ga_ls8c_ard_3-2-0_113076_2021-02-05_final
2021-02-05 11:39:46	ga_ls8c_ard_3-2-0_113077_2021-02-05_final
2021-02-05 11:40:10	ga_ls8c_ard_3-2-0_113078_2021-02-05_final
2021-02-05 11:40:34	ga_ls8c_ard_3-2-0_113079_2021-02-05_final
2021-02-05 11:40:57	ga_ls8c_ard_3-2-0_113080_2021-02-05_final
2021-02-05 11:41:21	ga_ls8c_ard_3-2-0_113081_2021-02-05_final
2021-02-23 11:30:06	ga_ls8c_ard_3-2-0_111084_2021-02-23_final
2021-02-23 11:30:30	ga_ls8c_ard_3-2-0_111085_2021-02-23_final
2023-05-04 11:29:31	ga_ls8c_ard_3-2-1_111084_2023-05-04_final
2023-06-12 11:34:06	ga_ls8c_ard_3-2-1_112080_2023-06-12_final
2023-06-12 11:34:30	ga_ls8c_ard_3-2-1_112081_2023-06-12_final
2023-06-12 11:34:54	ga_ls8c_ard_3-2-1_112082_2023-06-12_final
2023-06-12 11:35:18	ga_ls8c_ard_3-2-1_112083_2023-06-12_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