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
2015-12-04 11:50:33	ga_ls8c_ard_3-0-0_115073_2015-12-04_final
2016-05-12 11:49:56	ga_ls8c_ard_3-0-0_115073_2016-05-12_final
2016-05-12 11:50:20	ga_ls8c_ard_3-0-0_115074_2016-05-12_final
2016-05-12 11:50:44	ga_ls8c_ard_3-0-0_115075_2016-05-12_final
2016-05-12 11:51:08	ga_ls8c_ard_3-0-0_115076_2016-05-12_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
2019-12-31 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
2020-01-16 11:50:35	ga_ls8c_ard_3-1-0_115073_2020-01-16_final
2020-01-16 11:50:59	ga_ls8c_ard_3-1-0_115074_2020-01-16_final
2020-01-16 11:51:23	ga_ls8c_ard_3-1-0_115075_2020-01-16_final
2020-01-16 11:51:47	ga_ls8c_ard_3-1-0_115076_2020-01-16_final
2020-02-01 11:50:30	ga_ls8c_ard_3-1-0_115073_2020-02-01_final
2020-02-01 11:50:54	ga_ls8c_ard_3-1-0_115074_2020-02-01_final
2020-02-01 11:51:17	ga_ls8c_ard_3-1-0_115075_2020-02-01_final
2020-02-01 11:51:41	ga_ls8c_ard_3-1-0_115076_2020-02-01_final
2020-02-03 11:40:55	ga_ls8c_ard_3-1-0_113080_2020-02-03_final
2020-02-03 11:41:19	ga_ls8c_ard_3-1-0_113081_2020-02-03_final
2020-02-03 11:41:43	ga_ls8c_ard_3-1-0_113082_2020-02-03_final
2020-02-03 11:42:07	ga_ls8c_ard_3-1-0_113083_2020-02-03_final
2020-02-03 11:42:31	ga_ls8c_ard_3-1-0_113084_2020-02-03_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
2020-04-05 11:50:04	ga_ls8c_ard_3-1-0_115073_2020-04-05_final
2020-04-05 11:50:28	ga_ls8c_ard_3-1-0_115074_2020-04-05_final
2020-04-05 11:50:52	ga_ls8c_ard_3-1-0_115075_2020-04-05_final
2020-04-05 11:51:16	ga_ls8c_ard_3-1-0_115076_2020-04-05_final
2020-04-14 11:44:38	ga_ls8c_ard_3-1-0_114075_2020-04-14_final
2020-04-14 11:45:02	ga_ls8c_ard_3-1-0_114076_2020-04-14_final
2020-04-14 11:45:26	ga_ls8c_ard_3-1-0_114077_2020-04-14_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
2020-04-16 11:35:27	ga_ls8c_ard_3-1-0_112083_2020-04-16_final
2020-04-16 11:35:51	ga_ls8c_ard_3-1-0_112084_2020-04-16_final
2020-04-16 11:36:15	ga_ls8c_ard_3-1-0_112085_2020-04-16_final
2020-04-21 11:49:58	ga_ls8c_ard_3-1-0_115073_2020-04-21_final
2020-04-21 11:50:22	ga_ls8c_ard_3-1-0_115074_2020-04-21_final
2020-04-21 11:50:46	ga_ls8c_ard_3-1-0_115075_2020-04-21_final
2020-04-21 11:51:10	ga_ls8c_ard_3-1-0_115076_2020-04-21_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
2020-04-23 11:41:11	ga_ls8c_ard_3-1-0_113082_2020-04-23_final
2020-04-23 11:41:35	ga_ls8c_ard_3-1-0_113083_2020-04-23_final
2020-04-23 11:41:58	ga_ls8c_ard_3-1-0_113084_2020-04-23_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
2020-07-03 11:44:49	ga_ls8c_ard_3-1-0_114075_2020-07-03_final
2020-07-03 11:45:13	ga_ls8c_ard_3-1-0_114076_2020-07-03_final
2020-07-03 11:45:37	ga_ls8c_ard_3-1-0_114077_2020-07-03_final
2020-07-03 11:46:01	ga_ls8c_ard_3-1-0_114078_2020-07-03_final
2020-07-03 11:46:25	ga_ls8c_ard_3-1-0_114079_2020-07-03_final
2020-07-03 11:46:49	ga_ls8c_ard_3-1-0_114080_2020-07-03_final
2020-07-03 11:47:13	ga_ls8c_ard_3-1-0_114081_2020-07-03_final
2020-07-19 11:44:55	ga_ls8c_ard_3-1-0_114075_2020-07-19_final
2020-07-19 11:45:19	ga_ls8c_ard_3-1-0_114076_2020-07-19_final
2020-07-19 11:45:43	ga_ls8c_ard_3-1-0_114077_2020-07-19_final
2020-07-19 11:46:07	ga_ls8c_ard_3-1-0_114078_2020-07-19_final
2020-07-19 11:46:31	ga_ls8c_ard_3-1-0_114079_2020-07-19_final
2020-07-19 11:46:55	ga_ls8c_ard_3-1-0_114080_2020-07-19_final
2020-07-19 11:47:19	ga_ls8c_ard_3-1-0_114081_2020-07-19_final
2020-07-28 11:40:46	ga_ls8c_ard_3-1-0_113080_2020-07-28_final
2020-07-28 11:41:10	ga_ls8c_ard_3-1-0_113081_2020-07-28_final
2020-07-28 11:41:34	ga_ls8c_ard_3-1-0_113082_2020-07-28_final
2020-07-28 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-07-28_final
2020-07-28 11:42:22	ga_ls8c_ard_3-1-0_113084_2020-07-28_final
2020-09-05 11:45:13	ga_ls8c_ard_3-1-0_114075_2020-09-05_final
2020-09-05 11:45:36	ga_ls8c_ard_3-1-0_114076_2020-09-05_final
2020-09-05 11:46:00	ga_ls8c_ard_3-1-0_114077_2020-09-05_final
2020-09-05 11:46:24	ga_ls8c_ard_3-1-0_114078_2020-09-05_final
2020-09-05 11:46:48	ga_ls8c_ard_3-1-0_114079_2020-09-05_final
2020-09-05 11:47:12	ga_ls8c_ard_3-1-0_114080_2020-09-05_final
2020-09-05 11:47:36	ga_ls8c_ard_3-1-0_114081_2020-09-05_final
2020-09-07 11:36:03	ga_ls8c_ard_3-1-0_112083_2020-09-07_final
2020-09-07 11:36:27	ga_ls8c_ard_3-1-0_112084_2020-09-07_final
2020-09-07 11:36:51	ga_ls8c_ard_3-1-0_112085_2020-09-07_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
2021-02-05 11:41:45	ga_ls8c_ard_3-2-0_113082_2021-02-05_final
2021-02-05 11:42:09	ga_ls8c_ard_3-2-0_113083_2021-02-05_final
2021-02-05 11:42:33	ga_ls8c_ard_3-2-0_113084_2021-02-05_final
2021-02-12 11:45:07	ga_ls8c_ard_3-2-0_114075_2021-02-12_final
2021-02-12 11:45:31	ga_ls8c_ard_3-2-0_114076_2021-02-12_final
2021-02-12 11:45:55	ga_ls8c_ard_3-2-0_114077_2021-02-12_final
2021-02-12 11:46:19	ga_ls8c_ard_3-2-0_114078_2021-02-12_final
2021-02-12 11:46:43	ga_ls8c_ard_3-2-0_114079_2021-02-12_final
2021-02-12 11:47:07	ga_ls8c_ard_3-2-0_114080_2021-02-12_final
2021-02-12 11:47:31	ga_ls8c_ard_3-2-0_114081_2021-02-12_final
2021-02-14 11:35:56	ga_ls8c_ard_3-2-0_112083_2021-02-14_final
2021-02-14 11:36:20	ga_ls8c_ard_3-2-0_112084_2021-02-14_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