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
2013-08-03 11:37:04	ga_ls8c_ard_3-0-0_112081_2013-08-03_final
2013-08-03 11:37:28	ga_ls8c_ard_3-0-0_112082_2013-08-03_final
2013-08-03 11:37:52	ga_ls8c_ard_3-0-0_112083_2013-08-03_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
2013-08-17 11:48:14	ga_ls8c_ard_3-0-0_114078_2013-08-17_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
2013-11-14 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
2013-11-14 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-11-14_final
2014-07-03 11:44:25	ga_ls8c_ard_3-0-0_114074_2014-07-03_final
2014-07-03 11:44:49	ga_ls8c_ard_3-0-0_114075_2014-07-03_final
2014-07-03 11:45:13	ga_ls8c_ard_3-0-0_114076_2014-07-03_final
2014-07-03 11:45:37	ga_ls8c_ard_3-0-0_114077_2014-07-03_final
2014-07-03 11:46:01	ga_ls8c_ard_3-0-0_114078_2014-07-03_final
2014-07-05 11:34:52	ga_ls8c_ard_3-0-0_112081_2014-07-05_final
2014-07-05 11:35:16	ga_ls8c_ard_3-0-0_112082_2014-07-05_final
2014-07-05 11:35:40	ga_ls8c_ard_3-0-0_112083_2014-07-05_final
2014-07-05 11:36:04	ga_ls8c_ard_3-0-0_112084_2014-07-05_final
2014-07-19 11:44:30	ga_ls8c_ard_3-0-0_114074_2014-07-19_final
2014-07-19 11:44:54	ga_ls8c_ard_3-0-0_114075_2014-07-19_final
2014-07-19 11:45:18	ga_ls8c_ard_3-0-0_114076_2014-07-19_final
2014-07-19 11:45:42	ga_ls8c_ard_3-0-0_114077_2014-07-19_final
2014-07-19 11:46:06	ga_ls8c_ard_3-0-0_114078_2014-07-19_final
2014-07-21 11:34:56	ga_ls8c_ard_3-0-0_112081_2014-07-21_final
2014-07-21 11:35:20	ga_ls8c_ard_3-0-0_112082_2014-07-21_final
2014-07-21 11:35:44	ga_ls8c_ard_3-0-0_112083_2014-07-21_final
2014-07-21 11:36:08	ga_ls8c_ard_3-0-0_112084_2014-07-21_final
2014-08-06 11:35:04	ga_ls8c_ard_3-0-0_112081_2014-08-06_final
2014-08-06 11:35:28	ga_ls8c_ard_3-0-0_112082_2014-08-06_final
2014-08-06 11:35:52	ga_ls8c_ard_3-0-0_112083_2014-08-06_final
2014-08-06 11:36:16	ga_ls8c_ard_3-0-0_112084_2014-08-06_final
2014-08-22 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-08-22_final
2014-08-22 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-08-22_final
2014-08-22 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-08-22_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-09-07 11:35:12	ga_ls8c_ard_3-0-0_112081_2014-09-07_final
2014-09-07 11:35:36	ga_ls8c_ard_3-0-0_112082_2014-09-07_final
2014-09-07 11:36:00	ga_ls8c_ard_3-0-0_112083_2014-09-07_final
2014-09-07 11:36:23	ga_ls8c_ard_3-0-0_112084_2014-09-07_final
2014-10-16 11:39:53	ga_ls8c_ard_3-0-0_113077_2014-10-16_final
2014-10-16 11:40:16	ga_ls8c_ard_3-0-0_113078_2014-10-16_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2014-10-16 11:41:04	ga_ls8c_ard_3-0-0_113080_2014-10-16_final
2014-10-16 11:41:28	ga_ls8c_ard_3-0-0_113081_2014-10-16_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-10-18 11:30:19	ga_ls8c_ard_3-0-0_111084_2014-10-18_final
2014-12-10 11:44:44	ga_ls8c_ard_3-0-0_114074_2014-12-10_final
2014-12-10 11:45:07	ga_ls8c_ard_3-0-0_114075_2014-12-10_final
2014-12-10 11:45:31	ga_ls8c_ard_3-0-0_114076_2014-12-10_final
2014-12-10 11:45:55	ga_ls8c_ard_3-0-0_114077_2014-12-10_final
2014-12-10 11:46:19	ga_ls8c_ard_3-0-0_114078_2014-12-10_final
2014-12-12 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-12-12_final
2014-12-12 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-12-12_final
2014-12-12 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-12-12_final
2014-12-12 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-12-12_final
2018-02-20 11:44:24	ga_ls8c_ard_3-0-0_114074_2018-02-20_final
2018-02-20 11:44:48	ga_ls8c_ard_3-0-0_114075_2018-02-20_final
2018-02-20 11:45:12	ga_ls8c_ard_3-0-0_114076_2018-02-20_final
2018-02-20 11:45:36	ga_ls8c_ard_3-0-0_114077_2018-02-20_final
2018-02-20 11:46:00	ga_ls8c_ard_3-0-0_114078_2018-02-20_final
2018-02-22 11:34:49	ga_ls8c_ard_3-0-0_112081_2018-02-22_final
2018-02-22 11:35:13	ga_ls8c_ard_3-0-0_112082_2018-02-22_final
2018-02-22 11:35:37	ga_ls8c_ard_3-0-0_112083_2018-02-22_final
2018-02-22 11:36:01	ga_ls8c_ard_3-0-0_112084_2018-02-22_final
2018-02-22 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-02-22_final
2018-03-31 11:49:52	ga_ls8c_ard_3-0-0_115073_2018-03-31_final
2018-04-02 11:39:05	ga_ls8c_ard_3-0-0_113077_2018-04-02_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-02 11:39:53	ga_ls8c_ard_3-0-0_113079_2018-04-02_final
2018-04-02 11:40:17	ga_ls8c_ard_3-0-0_113080_2018-04-02_final
2018-04-02 11:40:41	ga_ls8c_ard_3-0-0_113081_2018-04-02_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-04 11:29:54	ga_ls8c_ard_3-0-0_111085_2018-04-04_final
2018-04-25 11:43:51	ga_ls8c_ard_3-0-0_114074_2018-04-25_final
2018-04-25 11:44:15	ga_ls8c_ard_3-0-0_114075_2018-04-25_final
2018-04-25 11:44:39	ga_ls8c_ard_3-0-0_114076_2018-04-25_final
2018-04-25 11:45:03	ga_ls8c_ard_3-0-0_114077_2018-04-25_final
2018-04-25 11:45:27	ga_ls8c_ard_3-0-0_114078_2018-04-25_final
2018-04-27 11:34:16	ga_ls8c_ard_3-0-0_112081_2018-04-27_final
2018-04-27 11:34:40	ga_ls8c_ard_3-0-0_112082_2018-04-27_final
2018-04-27 11:35:04	ga_ls8c_ard_3-0-0_112083_2018-04-27_final
2018-04-27 11:35:28	ga_ls8c_ard_3-0-0_112084_2018-04-27_final
2018-04-27 11:35:52	ga_ls8c_ard_3-0-0_112085_2018-04-27_final
2018-07-05 11:49:30	ga_ls8c_ard_3-0-0_115073_2018-07-05_final
2018-07-07 11:38:45	ga_ls8c_ard_3-0-0_113077_2018-07-07_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-07 11:39:33	ga_ls8c_ard_3-0-0_113079_2018-07-07_final
2018-07-07 11:39:57	ga_ls8c_ard_3-0-0_113080_2018-07-07_final
2018-07-07 11:40:21	ga_ls8c_ard_3-0-0_113081_2018-07-07_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-09 11:29:12	ga_ls8c_ard_3-0-0_111084_2018-07-09_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