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
2014-07-07 11:23:44	ga_ls8c_ard_3-0-0_110084_2014-07-07_final
2014-07-12 11:37:54	ga_ls8c_ard_3-0-0_113073_2014-07-12_final
2014-07-12 11:38:18	ga_ls8c_ard_3-0-0_113074_2014-07-12_final
2014-07-12 11:38:42	ga_ls8c_ard_3-0-0_113075_2014-07-12_final
2014-07-12 11:39:06	ga_ls8c_ard_3-0-0_113076_2014-07-12_final
2014-07-12 11:39:30	ga_ls8c_ard_3-0-0_113077_2014-07-12_final
2014-07-12 11:39:54	ga_ls8c_ard_3-0-0_113078_2014-07-12_final
2014-07-14 11:28:45	ga_ls8c_ard_3-0-0_111081_2014-07-14_final
2014-07-14 11:29:09	ga_ls8c_ard_3-0-0_111082_2014-07-14_final
2014-07-14 11:29:33	ga_ls8c_ard_3-0-0_111083_2014-07-14_final
2014-07-14 11:29:57	ga_ls8c_ard_3-0-0_111084_2014-07-14_final
2014-08-06 11:33:29	ga_ls8c_ard_3-0-0_112077_2014-08-06_final
2014-08-06 11:33:53	ga_ls8c_ard_3-0-0_112078_2014-08-06_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-06 11:34:41	ga_ls8c_ard_3-0-0_112080_2014-08-06_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
2014-08-08 11:23:55	ga_ls8c_ard_3-0-0_110084_2014-08-08_final
2014-09-05 11:41:58	ga_ls8c_ard_3-0-0_114067_2014-09-05_final
2014-09-07 11:33:36	ga_ls8c_ard_3-0-0_112077_2014-09-07_final
2014-09-07 11:34:00	ga_ls8c_ard_3-0-0_112078_2014-09-07_final
2014-09-07 11:34:24	ga_ls8c_ard_3-0-0_112079_2014-09-07_final
2014-09-07 11:34:48	ga_ls8c_ard_3-0-0_112080_2014-09-07_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
2014-09-09 11:24:02	ga_ls8c_ard_3-0-0_110084_2014-09-09_final
2014-09-21 11:41:56	ga_ls8c_ard_3-0-0_114067_2014-09-21_final
2014-09-23 11:33:33	ga_ls8c_ard_3-0-0_112077_2014-09-23_final
2014-09-23 11:33:57	ga_ls8c_ard_3-0-0_112078_2014-09-23_final
2014-09-23 11:34:21	ga_ls8c_ard_3-0-0_112079_2014-09-23_final
2014-09-23 11:34:45	ga_ls8c_ard_3-0-0_112080_2014-09-23_final
2014-09-23 11:35:09	ga_ls8c_ard_3-0-0_112081_2014-09-23_final
2014-09-23 11:35:33	ga_ls8c_ard_3-0-0_112082_2014-09-23_final
2014-11-10 11:33:42	ga_ls8c_ard_3-0-0_112077_2014-11-10_final
2014-11-10 11:34:06	ga_ls8c_ard_3-0-0_112078_2014-11-10_final
2014-11-10 11:34:30	ga_ls8c_ard_3-0-0_112079_2014-11-10_final
2014-11-10 11:34:54	ga_ls8c_ard_3-0-0_112080_2014-11-10_final
2014-11-10 11:35:18	ga_ls8c_ard_3-0-0_112081_2014-11-10_final
2014-11-10 11:35:42	ga_ls8c_ard_3-0-0_112082_2014-11-10_final
2014-11-12 11:24:08	ga_ls8c_ard_3-0-0_110084_2014-11-12_final
2014-12-28 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-12-28_final
2014-12-28 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-12-28_final
2014-12-28 11:34:20	ga_ls8c_ard_3-0-0_112079_2014-12-28_final
2014-12-28 11:34:44	ga_ls8c_ard_3-0-0_112080_2014-12-28_final
2014-12-28 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-12-28_final
2014-12-28 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-12-28_final
2019-02-23 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-02-23_final
2019-02-23 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-02-23_final
2019-02-25 11:33:10	ga_ls8c_ard_3-0-0_112077_2019-02-25_final
2019-02-25 11:33:34	ga_ls8c_ard_3-0-0_112078_2019-02-25_final
2019-02-25 11:33:58	ga_ls8c_ard_3-0-0_112079_2019-02-25_final
2019-02-25 11:34:22	ga_ls8c_ard_3-0-0_112080_2019-02-25_final
2019-02-25 11:34:46	ga_ls8c_ard_3-0-0_112081_2019-02-25_final
2019-02-25 11:35:10	ga_ls8c_ard_3-0-0_112082_2019-02-25_final
2019-04-12 11:41:19	ga_ls8c_ard_3-1-0_114067_2019-04-12_final
2019-04-12 11:43:43	ga_ls8c_ard_3-1-0_114073_2019-04-12_final
2019-04-14 11:32:56	ga_ls8c_ard_3-1-0_112077_2019-04-14_final
2019-04-14 11:33:20	ga_ls8c_ard_3-1-0_112078_2019-04-14_final
2019-04-14 11:33:44	ga_ls8c_ard_3-1-0_112079_2019-04-14_final
2019-04-14 11:34:08	ga_ls8c_ard_3-1-0_112080_2019-04-14_final
2019-04-14 11:34:32	ga_ls8c_ard_3-1-0_112081_2019-04-14_final
2019-04-14 11:34:56	ga_ls8c_ard_3-1-0_112082_2019-04-14_final
2019-05-30 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-05-30_final
2019-05-30 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-05-30_final
2019-06-01 11:33:11	ga_ls8c_ard_3-0-0_112077_2019-06-01_final
2019-06-01 11:33:35	ga_ls8c_ard_3-0-0_112078_2019-06-01_final
2019-06-01 11:33:59	ga_ls8c_ard_3-0-0_112079_2019-06-01_final
2019-06-01 11:34:23	ga_ls8c_ard_3-0-0_112080_2019-06-01_final
2019-06-01 11:34:47	ga_ls8c_ard_3-0-0_112081_2019-06-01_final
2019-06-01 11:35:11	ga_ls8c_ard_3-0-0_112082_2019-06-01_final
2019-07-01 11:41:44	ga_ls8c_ard_3-1-0_114067_2019-07-01_final
2019-07-01 11:44:08	ga_ls8c_ard_3-1-0_114073_2019-07-01_final
2019-07-03 11:33:22	ga_ls8c_ard_3-1-0_112077_2019-07-03_final
2019-07-03 11:33:46	ga_ls8c_ard_3-1-0_112078_2019-07-03_final
2019-07-03 11:34:10	ga_ls8c_ard_3-1-0_112079_2019-07-03_final
2019-07-03 11:34:34	ga_ls8c_ard_3-1-0_112080_2019-07-03_final
2019-07-03 11:34:58	ga_ls8c_ard_3-1-0_112081_2019-07-03_final
2019-07-03 11:35:22	ga_ls8c_ard_3-1-0_112082_2019-07-03_final
2019-08-13 11:29:00	ga_ls8c_ard_3-1-0_111081_2019-08-13_final
2019-08-13 11:29:24	ga_ls8c_ard_3-1-0_111082_2019-08-13_final
2019-08-13 11:29:48	ga_ls8c_ard_3-1-0_111083_2019-08-13_final
2019-10-14 11:38:02	ga_ls8c_ard_3-1-0_113072_2019-10-14_final
2019-10-14 11:38:26	ga_ls8c_ard_3-1-0_113073_2019-10-14_final
2019-10-14 11:38:50	ga_ls8c_ard_3-1-0_113074_2019-10-14_final
2019-10-14 11:39:14	ga_ls8c_ard_3-1-0_113075_2019-10-14_final
2019-10-14 11:39:38	ga_ls8c_ard_3-1-0_113076_2019-10-14_final
2019-10-14 11:40:02	ga_ls8c_ard_3-1-0_113077_2019-10-14_final
2019-10-14 11:40:26	ga_ls8c_ard_3-1-0_113078_2019-10-14_final
2019-10-16 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-10-16_final
2019-10-16 11:29:40	ga_ls8c_ard_3-1-0_111082_2019-10-16_final
2019-10-16 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-10-16_final
2019-10-16 11:30:28	ga_ls8c_ard_3-1-0_111084_2019-10-16_final
2019-10-16 11:30:52	ga_ls8c_ard_3-1-0_111085_2019-10-16_final
2019-11-26 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-11-26_final
2019-12-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2019-12-01_final
2019-12-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2019-12-01_final
2019-12-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2019-12-01_final
2019-12-01 11:39:10	ga_ls8c_ard_3-1-0_113075_2019-12-01_final
2019-12-01 11:39:34	ga_ls8c_ard_3-1-0_113076_2019-12-01_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_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