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
2015-07-22 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-07-22_final
2015-07-22 11:44:37	ga_ls8c_ard_3-0-0_114075_2015-07-22_final
2015-07-22 11:45:01	ga_ls8c_ard_3-0-0_114076_2015-07-22_final
2015-07-22 11:45:25	ga_ls8c_ard_3-0-0_114077_2015-07-22_final
2015-07-22 11:45:49	ga_ls8c_ard_3-0-0_114078_2015-07-22_final
2015-07-24 11:34:39	ga_ls8c_ard_3-0-0_112081_2015-07-24_final
2015-07-24 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-07-24_final
2015-07-24 11:35:27	ga_ls8c_ard_3-0-0_112083_2015-07-24_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-07-24 11:36:15	ga_ls8c_ard_3-0-0_112085_2015-07-24_final
2015-08-09 11:34:42	ga_ls8c_ard_3-0-0_112081_2015-08-09_final
2015-08-23 11:44:24	ga_ls8c_ard_3-0-0_114074_2015-08-23_final
2015-08-23 11:44:48	ga_ls8c_ard_3-0-0_114075_2015-08-23_final
2015-08-23 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-08-23_final
2015-08-23 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-08-23_final
2015-08-23 11:45:59	ga_ls8c_ard_3-0-0_114078_2015-08-23_final
2015-08-25 11:34:50	ga_ls8c_ard_3-0-0_112081_2015-08-25_final
2015-08-25 11:35:14	ga_ls8c_ard_3-0-0_112082_2015-08-25_final
2015-08-25 11:35:38	ga_ls8c_ard_3-0-0_112083_2015-08-25_final
2015-08-25 11:36:02	ga_ls8c_ard_3-0-0_112084_2015-08-25_final
2015-08-25 11:36:26	ga_ls8c_ard_3-0-0_112085_2015-08-25_final
2015-09-08 11:44:29	ga_ls8c_ard_3-0-0_114074_2015-09-08_final
2015-09-08 11:44:53	ga_ls8c_ard_3-0-0_114075_2015-09-08_final
2015-09-08 11:45:17	ga_ls8c_ard_3-0-0_114076_2015-09-08_final
2015-09-08 11:45:41	ga_ls8c_ard_3-0-0_114077_2015-09-08_final
2015-09-08 11:46:05	ga_ls8c_ard_3-0-0_114078_2015-09-08_final
2015-09-10 11:34:57	ga_ls8c_ard_3-0-0_112081_2015-09-10_final
2015-09-10 11:35:21	ga_ls8c_ard_3-0-0_112082_2015-09-10_final
2015-09-10 11:35:45	ga_ls8c_ard_3-0-0_112083_2015-09-10_final
2015-09-10 11:36:09	ga_ls8c_ard_3-0-0_112084_2015-09-10_final
2015-09-10 11:36:32	ga_ls8c_ard_3-0-0_112085_2015-09-10_final
2015-09-24 11:44:37	ga_ls8c_ard_3-0-0_114074_2015-09-24_final
2015-09-24 11:45:01	ga_ls8c_ard_3-0-0_114075_2015-09-24_final
2015-09-24 11:45:25	ga_ls8c_ard_3-0-0_114076_2015-09-24_final
2015-09-24 11:45:49	ga_ls8c_ard_3-0-0_114077_2015-09-24_final
2015-09-24 11:46:13	ga_ls8c_ard_3-0-0_114078_2015-09-24_final
2015-09-26 11:35:03	ga_ls8c_ard_3-0-0_112081_2015-09-26_final
2015-09-26 11:35:27	ga_ls8c_ard_3-0-0_112082_2015-09-26_final
2015-09-26 11:35:51	ga_ls8c_ard_3-0-0_112083_2015-09-26_final
2015-09-26 11:36:15	ga_ls8c_ard_3-0-0_112084_2015-09-26_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-10-26 11:44:43	ga_ls8c_ard_3-0-0_114074_2015-10-26_final
2015-10-26 11:46:19	ga_ls8c_ard_3-0-0_114078_2015-10-26_final
2015-10-28 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-10-28_final
2015-10-28 11:35:33	ga_ls8c_ard_3-0-0_112082_2015-10-28_final
2015-10-28 11:35:57	ga_ls8c_ard_3-0-0_112083_2015-10-28_final
2015-10-28 11:36:21	ga_ls8c_ard_3-0-0_112084_2015-10-28_final
2015-10-28 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-10-28_final
2015-12-20 11:50:33	ga_ls8c_ard_3-0-0_115073_2015-12-20_final
2016-02-06 11:50:26	ga_ls8c_ard_3-0-0_115073_2016-02-06_final
2016-02-15 11:44:34	ga_ls8c_ard_3-0-0_114074_2016-02-15_final
2016-02-15 11:44:58	ga_ls8c_ard_3-0-0_114075_2016-02-15_final
2016-02-15 11:45:22	ga_ls8c_ard_3-0-0_114076_2016-02-15_final
2016-02-15 11:45:45	ga_ls8c_ard_3-0-0_114077_2016-02-15_final
2016-02-15 11:46:09	ga_ls8c_ard_3-0-0_114078_2016-02-15_final
2016-02-17 11:34:58	ga_ls8c_ard_3-0-0_112081_2016-02-17_final
2016-02-17 11:35:22	ga_ls8c_ard_3-0-0_112082_2016-02-17_final
2016-02-17 11:35:46	ga_ls8c_ard_3-0-0_112083_2016-02-17_final
2016-02-17 11:36:10	ga_ls8c_ard_3-0-0_112084_2016-02-17_final
2016-02-17 11:36:34	ga_ls8c_ard_3-0-0_112085_2016-02-17_final
2016-03-25 11:50:08	ga_ls8c_ard_3-0-0_115073_2016-03-25_final
2017-09-08 11:30:11	ga_ls8c_ard_3-0-0_111084_2017-09-08_final
2017-09-08 11:30:35	ga_ls8c_ard_3-0-0_111085_2017-09-08_final
2017-09-20 11:50:34	ga_ls8c_ard_3-0-0_115073_2017-09-20_final
2017-10-06 11:50:40	ga_ls8c_ard_3-0-0_115073_2017-10-06_final
2017-10-15 11:44:55	ga_ls8c_ard_3-0-0_114074_2017-10-15_final
2017-10-15 11:45:19	ga_ls8c_ard_3-0-0_114075_2017-10-15_final
2017-10-15 11:45:43	ga_ls8c_ard_3-0-0_114076_2017-10-15_final
2017-10-15 11:46:07	ga_ls8c_ard_3-0-0_114077_2017-10-15_final
2017-10-15 11:46:31	ga_ls8c_ard_3-0-0_114078_2017-10-15_final
2017-10-17 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-10-17_final
2017-10-17 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-10-17_final
2017-10-17 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-10-17_final
2017-10-17 11:36:33	ga_ls8c_ard_3-0-0_112084_2017-10-17_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2018-02-11 11:50:14	ga_ls8c_ard_3-0-0_115073_2018-02-11_final
2018-03-08 11:44:16	ga_ls8c_ard_3-0-0_114074_2018-03-08_final
2018-03-08 11:44:40	ga_ls8c_ard_3-0-0_114075_2018-03-08_final
2018-03-08 11:45:04	ga_ls8c_ard_3-0-0_114076_2018-03-08_final
2018-03-08 11:45:28	ga_ls8c_ard_3-0-0_114077_2018-03-08_final
2018-03-08 11:45:52	ga_ls8c_ard_3-0-0_114078_2018-03-08_final
2018-03-10 11:34:41	ga_ls8c_ard_3-0-0_112081_2018-03-10_final
2018-03-10 11:35:05	ga_ls8c_ard_3-0-0_112082_2018-03-10_final
2018-03-10 11:35:29	ga_ls8c_ard_3-0-0_112083_2018-03-10_final
2018-03-10 11:35:52	ga_ls8c_ard_3-0-0_112084_2018-03-10_final
2018-03-10 11:36:16	ga_ls8c_ard_3-0-0_112085_2018-03-10_final
2018-04-09 11:44:00	ga_ls8c_ard_3-0-0_114074_2018-04-09_final
2018-04-09 11:44:24	ga_ls8c_ard_3-0-0_114075_2018-04-09_final
2018-04-09 11:44:48	ga_ls8c_ard_3-0-0_114076_2018-04-09_final
2018-04-09 11:45:12	ga_ls8c_ard_3-0-0_114077_2018-04-09_final
2018-04-09 11:45:36	ga_ls8c_ard_3-0-0_114078_2018-04-09_final
2018-04-11 11:34:25	ga_ls8c_ard_3-0-0_112081_2018-04-11_final
2018-04-11 11:34:49	ga_ls8c_ard_3-0-0_112082_2018-04-11_final
2018-04-11 11:35:13	ga_ls8c_ard_3-0-0_112083_2018-04-11_final
2018-04-11 11:35:37	ga_ls8c_ard_3-0-0_112084_2018-04-11_final
2018-04-11 11:36:01	ga_ls8c_ard_3-0-0_112085_2018-04-11_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

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