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
2014-03-06 11:40:13	ga_ls8c_ard_3-0-0_113077_2014-03-06_final
2014-03-06 11:40:37	ga_ls8c_ard_3-0-0_113078_2014-03-06_final
2014-03-06 11:41:01	ga_ls8c_ard_3-0-0_113079_2014-03-06_final
2014-03-06 11:41:24	ga_ls8c_ard_3-0-0_113080_2014-03-06_final
2014-03-06 11:41:48	ga_ls8c_ard_3-0-0_113081_2014-03-06_final
2014-03-06 11:42:12	ga_ls8c_ard_3-0-0_113082_2014-03-06_final
2014-03-13 11:45:09	ga_ls8c_ard_3-0-0_114074_2014-03-13_final
2014-03-13 11:45:33	ga_ls8c_ard_3-0-0_114075_2014-03-13_final
2014-03-13 11:45:57	ga_ls8c_ard_3-0-0_114076_2014-03-13_final
2014-03-13 11:46:21	ga_ls8c_ard_3-0-0_114077_2014-03-13_final
2014-03-13 11:46:45	ga_ls8c_ard_3-0-0_114078_2014-03-13_final
2014-03-15 11:35:34	ga_ls8c_ard_3-0-0_112081_2014-03-15_final
2014-03-15 11:35:58	ga_ls8c_ard_3-0-0_112082_2014-03-15_final
2014-03-15 11:36:22	ga_ls8c_ard_3-0-0_112083_2014-03-15_final
2014-03-15 11:36:46	ga_ls8c_ard_3-0-0_112084_2014-03-15_final
2014-06-01 11:44:14	ga_ls8c_ard_3-0-0_114074_2014-06-01_final
2014-06-01 11:44:38	ga_ls8c_ard_3-0-0_114075_2014-06-01_final
2014-06-01 11:45:02	ga_ls8c_ard_3-0-0_114076_2014-06-01_final
2014-06-01 11:45:26	ga_ls8c_ard_3-0-0_114077_2014-06-01_final
2014-06-01 11:45:49	ga_ls8c_ard_3-0-0_114078_2014-06-01_final
2019-01-22 11:44:26	ga_ls8c_ard_3-0-0_114074_2019-01-22_final
2019-01-22 11:44:50	ga_ls8c_ard_3-0-0_114075_2019-01-22_final
2019-01-22 11:45:14	ga_ls8c_ard_3-0-0_114076_2019-01-22_final
2019-01-22 11:45:38	ga_ls8c_ard_3-0-0_114077_2019-01-22_final
2019-01-22 11:46:02	ga_ls8c_ard_3-0-0_114078_2019-01-22_final
2019-02-02 11:30:15	ga_ls8c_ard_3-0-0_111085_2019-02-02_final
2019-02-07 11:44:23	ga_ls8c_ard_3-0-0_114074_2019-02-07_final
2019-02-07 11:44:47	ga_ls8c_ard_3-0-0_114075_2019-02-07_final
2019-02-07 11:45:11	ga_ls8c_ard_3-0-0_114076_2019-02-07_final
2019-02-07 11:45:35	ga_ls8c_ard_3-0-0_114077_2019-02-07_final
2019-02-07 11:45:59	ga_ls8c_ard_3-0-0_114078_2019-02-07_final
2019-02-09 11:34:49	ga_ls8c_ard_3-0-0_112081_2019-02-09_final
2019-02-09 11:35:13	ga_ls8c_ard_3-0-0_112082_2019-02-09_final
2019-02-09 11:35:37	ga_ls8c_ard_3-0-0_112083_2019-02-09_final
2019-02-09 11:36:01	ga_ls8c_ard_3-0-0_112084_2019-02-09_final
2019-02-09 11:36:25	ga_ls8c_ard_3-0-0_112085_2019-02-09_final
2019-03-06 11:30:08	ga_ls8c_ard_3-0-0_111085_2019-03-06_final
2019-03-11 11:43:51	ga_ls8c_ard_3-1-0_114073_2019-03-11_final
2019-03-11 11:44:15	ga_ls8c_ard_3-1-0_114074_2019-03-11_final
2019-03-11 11:44:39	ga_ls8c_ard_3-1-0_114075_2019-03-11_final
2019-03-11 11:45:03	ga_ls8c_ard_3-1-0_114076_2019-03-11_final
2019-03-11 11:45:27	ga_ls8c_ard_3-1-0_114077_2019-03-11_final
2019-03-11 11:45:51	ga_ls8c_ard_3-1-0_114078_2019-03-11_final
2019-03-13 11:34:40	ga_ls8c_ard_3-1-0_112081_2019-03-13_final
2019-03-13 11:35:04	ga_ls8c_ard_3-1-0_112082_2019-03-13_final
2019-03-13 11:35:28	ga_ls8c_ard_3-1-0_112083_2019-03-13_final
2019-03-13 11:35:52	ga_ls8c_ard_3-1-0_112084_2019-03-13_final
2019-03-13 11:36:16	ga_ls8c_ard_3-1-0_112085_2019-03-13_final
2019-03-18 11:50:00	ga_ls8c_ard_3-1-0_115073_2019-03-18_final
2019-03-20 11:39:14	ga_ls8c_ard_3-1-0_113077_2019-03-20_final
2019-03-20 11:39:38	ga_ls8c_ard_3-1-0_113078_2019-03-20_final
2019-03-20 11:40:01	ga_ls8c_ard_3-1-0_113079_2019-03-20_final
2019-03-20 11:40:25	ga_ls8c_ard_3-1-0_113080_2019-03-20_final
2019-03-20 11:40:49	ga_ls8c_ard_3-1-0_113081_2019-03-20_final
2019-03-20 11:41:13	ga_ls8c_ard_3-1-0_113082_2019-03-20_final
2019-04-03 11:49:56	ga_ls8c_ard_3-1-0_115073_2019-04-03_final
2019-04-05 11:39:10	ga_ls8c_ard_3-1-0_113077_2019-04-05_final
2019-04-05 11:39:34	ga_ls8c_ard_3-1-0_113078_2019-04-05_final
2019-04-05 11:39:58	ga_ls8c_ard_3-1-0_113079_2019-04-05_final
2019-04-05 11:40:22	ga_ls8c_ard_3-1-0_113080_2019-04-05_final
2019-04-05 11:40:46	ga_ls8c_ard_3-1-0_113081_2019-04-05_final
2019-04-05 11:41:10	ga_ls8c_ard_3-1-0_113082_2019-04-05_final
2019-04-28 11:43:38	ga_ls8c_ard_3-0-0_114073_2019-04-28_final
2019-04-28 11:44:02	ga_ls8c_ard_3-0-0_114074_2019-04-28_final
2019-04-28 11:44:26	ga_ls8c_ard_3-0-0_114075_2019-04-28_final
2019-04-28 11:44:49	ga_ls8c_ard_3-0-0_114076_2019-04-28_final
2019-04-28 11:45:13	ga_ls8c_ard_3-0-0_114077_2019-04-28_final
2019-04-28 11:45:37	ga_ls8c_ard_3-0-0_114078_2019-04-28_final
2019-04-30 11:34:28	ga_ls8c_ard_3-0-0_112081_2019-04-30_final
2019-04-30 11:34:52	ga_ls8c_ard_3-0-0_112082_2019-04-30_final
2019-04-30 11:35:16	ga_ls8c_ard_3-0-0_112083_2019-04-30_final
2019-04-30 11:35:40	ga_ls8c_ard_3-0-0_112084_2019-04-30_final
2019-04-30 11:36:04	ga_ls8c_ard_3-0-0_112085_2019-04-30_final
2019-05-05 11:49:52	ga_ls8c_ard_3-0-0_115073_2019-05-05_final
2019-05-21 11:50:02	ga_ls8c_ard_3-0-0_115073_2019-05-21_final
2020-03-15 11:34:55	ga_ls8c_ard_3-1-0_112081_2020-03-15_final
2020-03-15 11:35:19	ga_ls8c_ard_3-1-0_112082_2020-03-15_final
2020-03-15 11:35:43	ga_ls8c_ard_3-1-0_112083_2020-03-15_final
2020-03-15 11:36:07	ga_ls8c_ard_3-1-0_112084_2020-03-15_final
2020-03-15 11:36:31	ga_ls8c_ard_3-1-0_112085_2020-03-15_final
2020-03-24 11:30:15	ga_ls8c_ard_3-1-0_111085_2020-03-24_final
2020-04-25 11:29:36	ga_ls8c_ard_3-1-0_111084_2020-04-25_final
2020-04-25 11:30:00	ga_ls8c_ard_3-1-0_111085_2020-04-25_final
2020-05-02 11:34:31	ga_ls8c_ard_3-1-0_112081_2020-05-02_final
2020-05-02 11:34:55	ga_ls8c_ard_3-1-0_112082_2020-05-02_final
2020-05-02 11:35:19	ga_ls8c_ard_3-1-0_112083_2020-05-02_final
2020-05-02 11:35:43	ga_ls8c_ard_3-1-0_112084_2020-05-02_final
2020-05-02 11:36:07	ga_ls8c_ard_3-1-0_112085_2020-05-02_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
2020-05-18 11:34:29	ga_ls8c_ard_3-1-0_112081_2020-05-18_final
2020-05-18 11:34:53	ga_ls8c_ard_3-1-0_112082_2020-05-18_final
2020-05-18 11:35:17	ga_ls8c_ard_3-1-0_112083_2020-05-18_final
2020-05-18 11:35:41	ga_ls8c_ard_3-1-0_112084_2020-05-18_final
2020-05-18 11:36:05	ga_ls8c_ard_3-1-0_112085_2020-05-18_final
2020-05-27 11:29:32	ga_ls8c_ard_3-1-0_111084_2020-05-27_final
2020-05-27 11:29:56	ga_ls8c_ard_3-1-0_111085_2020-05-27_final
2020-06-28 11:29:50	ga_ls8c_ard_3-1-0_111084_2020-06-28_final
2020-06-28 11:30:14	ga_ls8c_ard_3-1-0_111085_2020-06-28_final
2020-07-30 11:30:01	ga_ls8c_ard_3-1-0_111084_2020-07-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years