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
2015-12-20 11:50:33	ga_ls8c_ard_3-0-0_115073_2015-12-20_final
2015-12-22 11:39:23	ga_ls8c_ard_3-0-0_113076_2015-12-22_final
2015-12-22 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-12-22_final
2015-12-22 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-12-22_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-22 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-12-22_final
2015-12-22 11:41:23	ga_ls8c_ard_3-0-0_113081_2015-12-22_final
2015-12-22 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-12-22_final
2015-12-24 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-12-24_final
2015-12-24 11:30:37	ga_ls8c_ard_3-0-0_111085_2015-12-24_final
2015-12-29 11:44:45	ga_ls8c_ard_3-0-0_114074_2015-12-29_final
2015-12-29 11:45:09	ga_ls8c_ard_3-0-0_114075_2015-12-29_final
2015-12-29 11:45:33	ga_ls8c_ard_3-0-0_114076_2015-12-29_final
2015-12-29 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-29_final
2015-12-29 11:46:21	ga_ls8c_ard_3-0-0_114078_2015-12-29_final
2015-12-31 11:35:10	ga_ls8c_ard_3-0-0_112081_2015-12-31_final
2015-12-31 11:35:34	ga_ls8c_ard_3-0-0_112082_2015-12-31_final
2015-12-31 11:35:58	ga_ls8c_ard_3-0-0_112083_2015-12-31_final
2015-12-31 11:36:22	ga_ls8c_ard_3-0-0_112084_2015-12-31_final
2015-12-31 11:36:46	ga_ls8c_ard_3-0-0_112085_2015-12-31_final
2016-02-06 11:50:26	ga_ls8c_ard_3-0-0_115073_2016-02-06_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
2016-04-03 11:45:28	ga_ls8c_ard_3-0-0_114077_2016-04-03_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
2016-10-23 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-10-23_final
2016-10-23 11:30:49	ga_ls8c_ard_3-0-0_111085_2016-10-23_final
2016-10-30 11:35:25	ga_ls8c_ard_3-0-0_112081_2016-10-30_final
2016-10-30 11:35:48	ga_ls8c_ard_3-0-0_112082_2016-10-30_final
2016-10-30 11:36:12	ga_ls8c_ard_3-0-0_112083_2016-10-30_final
2016-10-30 11:36:36	ga_ls8c_ard_3-0-0_112084_2016-10-30_final
2016-10-30 11:37:00	ga_ls8c_ard_3-0-0_112085_2016-10-30_final
2017-02-01 11:44:40	ga_ls8c_ard_3-0-0_114074_2017-02-01_final
2017-02-01 11:45:04	ga_ls8c_ard_3-0-0_114075_2017-02-01_final
2017-02-01 11:45:28	ga_ls8c_ard_3-0-0_114076_2017-02-01_final
2017-02-01 11:45:52	ga_ls8c_ard_3-0-0_114077_2017-02-01_final
2017-02-01 11:46:16	ga_ls8c_ard_3-0-0_114078_2017-02-01_final
2017-02-03 11:35:05	ga_ls8c_ard_3-0-0_112081_2017-02-03_final
2017-02-03 11:35:29	ga_ls8c_ard_3-0-0_112082_2017-02-03_final
2017-02-03 11:35:53	ga_ls8c_ard_3-0-0_112083_2017-02-03_final
2017-02-03 11:36:17	ga_ls8c_ard_3-0-0_112084_2017-02-03_final
2017-02-03 11:36:41	ga_ls8c_ard_3-0-0_112085_2017-02-03_final
2017-02-26 11:39:07	ga_ls8c_ard_3-0-0_113076_2017-02-26_final
2017-02-26 11:39:31	ga_ls8c_ard_3-0-0_113077_2017-02-26_final
2017-02-26 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-02-26_final
2017-02-26 11:40:19	ga_ls8c_ard_3-0-0_113079_2017-02-26_final
2017-02-26 11:40:43	ga_ls8c_ard_3-0-0_113080_2017-02-26_final
2017-02-26 11:41:07	ga_ls8c_ard_3-0-0_113081_2017-02-26_final
2017-02-26 11:41:31	ga_ls8c_ard_3-0-0_113082_2017-02-26_final
2017-02-28 11:29:56	ga_ls8c_ard_3-0-0_111084_2017-02-28_final
2017-02-28 11:30:20	ga_ls8c_ard_3-0-0_111085_2017-02-28_final
2019-06-26 11:29:57	ga_ls8c_ard_3-1-0_111084_2019-06-26_final
2019-06-26 11:30:21	ga_ls8c_ard_3-1-0_111085_2019-06-26_final
2019-12-17 11:39:32	ga_ls8c_ard_3-2-0_113076_2019-12-17_final
2019-12-17 11:39:56	ga_ls8c_ard_3-2-0_113077_2019-12-17_final
2019-12-17 11:40:20	ga_ls8c_ard_3-2-0_113078_2019-12-17_final
2019-12-17 11:40:44	ga_ls8c_ard_3-2-0_113079_2019-12-17_final
2019-12-17 11:41:08	ga_ls8c_ard_3-2-0_113080_2019-12-17_final
2019-12-17 11:41:32	ga_ls8c_ard_3-2-0_113081_2019-12-17_final
2019-12-17 11:41:56	ga_ls8c_ard_3-2-0_113082_2019-12-17_final
2019-12-19 11:30:21	ga_ls8c_ard_3-2-0_111084_2019-12-19_final
2019-12-19 11:30:45	ga_ls8c_ard_3-2-0_111085_2019-12-19_final
2019-12-31 11:50:38	ga_ls8c_ard_3-1-0_115073_2019-12-31_final
2020-01-02 11:39:51	ga_ls8c_ard_3-1-0_113077_2020-01-02_final
2020-01-02 11:40:15	ga_ls8c_ard_3-1-0_113078_2020-01-02_final
2020-01-02 11:40:39	ga_ls8c_ard_3-1-0_113079_2020-01-02_final
2020-01-02 11:41:03	ga_ls8c_ard_3-1-0_113080_2020-01-02_final
2020-01-02 11:41:27	ga_ls8c_ard_3-1-0_113081_2020-01-02_final
2020-01-02 11:41:51	ga_ls8c_ard_3-1-0_113082_2020-01-02_final
2020-02-01 11:50:30	ga_ls8c_ard_3-1-0_115073_2020-02-01_final
2020-02-03 11:39:43	ga_ls8c_ard_3-1-0_113077_2020-02-03_final
2020-02-03 11:40:07	ga_ls8c_ard_3-1-0_113078_2020-02-03_final
2020-02-03 11:40:31	ga_ls8c_ard_3-1-0_113079_2020-02-03_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
2020-03-06 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
2020-03-06 11:41:34	ga_ls8c_ard_3-1-0_113082_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
2020-04-23 11:41:11	ga_ls8c_ard_3-1-0_113082_2020-04-23_final
2020-05-11 11:29:29	ga_ls8c_ard_3-1-0_111084_2020-05-11_final
2020-05-11 11:29:53	ga_ls8c_ard_3-1-0_111085_2020-05-11_final
2020-07-14 11:29:56	ga_ls8c_ard_3-1-0_111084_2020-07-14_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