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
2013-06-14 11:46:37	ga_ls8c_ard_3-0-0_114074_2013-06-14_final
2013-06-14 11:47:00	ga_ls8c_ard_3-0-0_114075_2013-06-14_final
2013-06-16 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-06-16_final
2013-06-16 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-06-16_final
2013-06-16 11:36:37	ga_ls8c_ard_3-0-0_112080_2013-06-16_final
2013-06-16 11:37:01	ga_ls8c_ard_3-0-0_112081_2013-06-16_final
2013-06-16 11:37:25	ga_ls8c_ard_3-0-0_112082_2013-06-16_final
2013-06-16 11:37:49	ga_ls8c_ard_3-0-0_112083_2013-06-16_final
2013-09-18 11:46:35	ga_ls8c_ard_3-0-0_114074_2013-09-18_final
2013-09-18 11:46:59	ga_ls8c_ard_3-0-0_114075_2013-09-18_final
2017-05-01 11:37:44	ga_ls8c_ard_3-0-0_113074_2017-05-01_final
2017-05-01 11:38:08	ga_ls8c_ard_3-0-0_113075_2017-05-01_final
2017-05-01 11:38:32	ga_ls8c_ard_3-0-0_113076_2017-05-01_final
2017-05-01 11:38:56	ga_ls8c_ard_3-0-0_113077_2017-05-01_final
2017-05-01 11:39:19	ga_ls8c_ard_3-0-0_113078_2017-05-01_final
2017-05-01 11:39:43	ga_ls8c_ard_3-0-0_113079_2017-05-01_final
2017-05-01 11:40:07	ga_ls8c_ard_3-0-0_113080_2017-05-01_final
2017-05-03 11:28:33	ga_ls8c_ard_3-0-0_111082_2017-05-03_final
2017-05-03 11:28:57	ga_ls8c_ard_3-0-0_111083_2017-05-03_final
2017-05-03 11:29:21	ga_ls8c_ard_3-0-0_111084_2017-05-03_final
2017-05-03 11:29:45	ga_ls8c_ard_3-0-0_111085_2017-05-03_final
2017-06-18 11:38:10	ga_ls8c_ard_3-0-0_113074_2017-06-18_final
2017-06-18 11:38:34	ga_ls8c_ard_3-0-0_113075_2017-06-18_final
2017-06-18 11:38:58	ga_ls8c_ard_3-0-0_113076_2017-06-18_final
2017-06-18 11:39:22	ga_ls8c_ard_3-0-0_113077_2017-06-18_final
2017-06-18 11:39:46	ga_ls8c_ard_3-0-0_113078_2017-06-18_final
2017-06-18 11:40:10	ga_ls8c_ard_3-0-0_113079_2017-06-18_final
2017-06-18 11:40:34	ga_ls8c_ard_3-0-0_113080_2017-06-18_final
2017-06-20 11:29:01	ga_ls8c_ard_3-0-0_111082_2017-06-20_final
2017-06-20 11:29:24	ga_ls8c_ard_3-0-0_111083_2017-06-20_final
2017-06-20 11:29:48	ga_ls8c_ard_3-0-0_111084_2017-06-20_final
2017-06-20 11:30:12	ga_ls8c_ard_3-0-0_111085_2017-06-20_final
2017-08-05 11:38:26	ga_ls8c_ard_3-0-0_113074_2017-08-05_final
2017-08-05 11:38:50	ga_ls8c_ard_3-0-0_113075_2017-08-05_final
2017-08-05 11:39:14	ga_ls8c_ard_3-0-0_113076_2017-08-05_final
2017-08-05 11:39:38	ga_ls8c_ard_3-0-0_113077_2017-08-05_final
2017-08-05 11:40:02	ga_ls8c_ard_3-0-0_113078_2017-08-05_final
2017-08-05 11:40:26	ga_ls8c_ard_3-0-0_113079_2017-08-05_final
2017-08-05 11:40:50	ga_ls8c_ard_3-0-0_113080_2017-08-05_final
2017-08-07 11:29:17	ga_ls8c_ard_3-0-0_111082_2017-08-07_final
2017-08-07 11:29:41	ga_ls8c_ard_3-0-0_111083_2017-08-07_final
2017-08-07 11:30:05	ga_ls8c_ard_3-0-0_111084_2017-08-07_final
2017-08-07 11:30:29	ga_ls8c_ard_3-0-0_111085_2017-08-07_final
2017-08-21 11:38:31	ga_ls8c_ard_3-0-0_113074_2017-08-21_final
2017-08-21 11:38:55	ga_ls8c_ard_3-0-0_113075_2017-08-21_final
2017-08-21 11:39:19	ga_ls8c_ard_3-0-0_113076_2017-08-21_final
2017-08-21 11:39:43	ga_ls8c_ard_3-0-0_113077_2017-08-21_final
2017-08-21 11:40:07	ga_ls8c_ard_3-0-0_113078_2017-08-21_final
2017-08-21 11:40:31	ga_ls8c_ard_3-0-0_113079_2017-08-21_final
2017-08-21 11:40:55	ga_ls8c_ard_3-0-0_113080_2017-08-21_final
2017-08-23 11:29:22	ga_ls8c_ard_3-0-0_111082_2017-08-23_final
2017-08-23 11:29:45	ga_ls8c_ard_3-0-0_111083_2017-08-23_final
2017-08-23 11:30:09	ga_ls8c_ard_3-0-0_111084_2017-08-23_final
2017-08-23 11:30:33	ga_ls8c_ard_3-0-0_111085_2017-08-23_final
2018-03-17 11:38:00	ga_ls8c_ard_3-0-0_113074_2018-03-17_final
2018-03-17 11:38:24	ga_ls8c_ard_3-0-0_113075_2018-03-17_final
2018-03-17 11:38:48	ga_ls8c_ard_3-0-0_113076_2018-03-17_final
2018-03-17 11:39:12	ga_ls8c_ard_3-0-0_113077_2018-03-17_final
2018-03-17 11:39:36	ga_ls8c_ard_3-0-0_113078_2018-03-17_final
2018-03-17 11:40:00	ga_ls8c_ard_3-0-0_113079_2018-03-17_final
2018-03-17 11:40:23	ga_ls8c_ard_3-0-0_113080_2018-03-17_final
2018-03-19 11:29:13	ga_ls8c_ard_3-0-0_111083_2018-03-19_final
2018-03-19 11:29:37	ga_ls8c_ard_3-0-0_111084_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2018-04-18 11:37:44	ga_ls8c_ard_3-0-0_113074_2018-04-18_final
2018-04-18 11:38:08	ga_ls8c_ard_3-0-0_113075_2018-04-18_final
2018-04-18 11:38:32	ga_ls8c_ard_3-0-0_113076_2018-04-18_final
2018-04-18 11:38:56	ga_ls8c_ard_3-0-0_113077_2018-04-18_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-04-18 11:39:43	ga_ls8c_ard_3-0-0_113079_2018-04-18_final
2018-04-18 11:40:07	ga_ls8c_ard_3-0-0_113080_2018-04-18_final
2018-04-20 11:28:32	ga_ls8c_ard_3-0-0_111082_2018-04-20_final
2018-04-20 11:28:56	ga_ls8c_ard_3-0-0_111083_2018-04-20_final
2018-04-20 11:29:20	ga_ls8c_ard_3-0-0_111084_2018-04-20_final
2018-04-20 11:29:44	ga_ls8c_ard_3-0-0_111085_2018-04-20_final
2018-06-05 11:37:13	ga_ls8c_ard_3-0-0_113074_2018-06-05_final
2018-06-05 11:37:37	ga_ls8c_ard_3-0-0_113075_2018-06-05_final
2018-06-05 11:38:01	ga_ls8c_ard_3-0-0_113076_2018-06-05_final
2018-06-05 11:38:25	ga_ls8c_ard_3-0-0_113077_2018-06-05_final
2018-06-05 11:38:49	ga_ls8c_ard_3-0-0_113078_2018-06-05_final
2018-06-05 11:39:13	ga_ls8c_ard_3-0-0_113079_2018-06-05_final
2018-06-05 11:39:37	ga_ls8c_ard_3-0-0_113080_2018-06-05_final
2018-06-07 11:28:04	ga_ls8c_ard_3-0-0_111082_2018-06-07_final
2018-06-07 11:28:28	ga_ls8c_ard_3-0-0_111083_2018-06-07_final
2018-06-07 11:28:52	ga_ls8c_ard_3-0-0_111084_2018-06-07_final
2018-06-07 11:29:16	ga_ls8c_ard_3-0-0_111085_2018-06-07_final
2018-07-25 11:28:30	ga_ls8c_ard_3-0-0_111082_2018-07-25_final
2018-07-25 11:28:54	ga_ls8c_ard_3-0-0_111083_2018-07-25_final
2018-09-25 11:38:08	ga_ls8c_ard_3-0-0_113074_2018-09-25_final
2018-09-25 11:38:32	ga_ls8c_ard_3-0-0_113075_2018-09-25_final
2018-09-25 11:38:56	ga_ls8c_ard_3-0-0_113076_2018-09-25_final
2018-09-25 11:39:20	ga_ls8c_ard_3-0-0_113077_2018-09-25_final
2018-09-25 11:39:44	ga_ls8c_ard_3-0-0_113078_2018-09-25_final
2018-09-25 11:40:07	ga_ls8c_ard_3-0-0_113079_2018-09-25_final
2018-09-25 11:40:31	ga_ls8c_ard_3-0-0_113080_2018-09-25_final
2018-10-02 11:44:22	ga_ls8c_ard_3-0-0_114074_2018-10-02_final
2018-10-02 11:44:46	ga_ls8c_ard_3-0-0_114075_2018-10-02_final
2018-10-13 11:29:06	ga_ls8c_ard_3-0-0_111082_2018-10-13_final
2018-10-13 11:29:30	ga_ls8c_ard_3-0-0_111083_2018-10-13_final
2018-10-13 11:29:54	ga_ls8c_ard_3-0-0_111084_2018-10-13_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