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
2014-12-03 11:38:14	ga_ls8c_ard_3-0-0_113073_2014-12-03_final
2014-12-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2014-12-03_final
2014-12-03 11:39:02	ga_ls8c_ard_3-0-0_113075_2014-12-03_final
2014-12-03 11:39:26	ga_ls8c_ard_3-0-0_113076_2014-12-03_final
2014-12-03 11:39:50	ga_ls8c_ard_3-0-0_113077_2014-12-03_final
2014-12-03 11:40:13	ga_ls8c_ard_3-0-0_113078_2014-12-03_final
2014-12-03 11:40:37	ga_ls8c_ard_3-0-0_113079_2014-12-03_final
2014-12-05 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-12-05_final
2014-12-05 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-12-05_final
2014-12-05 11:30:14	ga_ls8c_ard_3-0-0_111084_2014-12-05_final
2014-12-19 11:38:10	ga_ls8c_ard_3-1-0_113073_2014-12-19_final
2014-12-19 11:38:34	ga_ls8c_ard_3-0-0_113074_2014-12-19_final
2014-12-19 11:38:58	ga_ls8c_ard_3-0-0_113075_2014-12-19_final
2014-12-19 11:39:22	ga_ls8c_ard_3-0-0_113076_2014-12-19_final
2014-12-19 11:39:46	ga_ls8c_ard_3-0-0_113077_2014-12-19_final
2014-12-19 11:40:10	ga_ls8c_ard_3-0-0_113078_2014-12-19_final
2014-12-19 11:40:34	ga_ls8c_ard_3-0-0_113079_2014-12-19_final
2014-12-21 11:29:24	ga_ls8c_ard_3-0-0_111082_2014-12-21_final
2014-12-21 11:29:48	ga_ls8c_ard_3-0-0_111083_2014-12-21_final
2014-12-21 11:30:12	ga_ls8c_ard_3-0-0_111084_2014-12-21_final
2015-03-11 11:28:55	ga_ls8c_ard_3-0-0_111082_2015-03-11_final
2015-03-11 11:29:19	ga_ls8c_ard_3-0-0_111083_2015-03-11_final
2015-03-11 11:29:43	ga_ls8c_ard_3-0-0_111084_2015-03-11_final
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2015-04-26 11:37:21	ga_ls8c_ard_3-1-0_113073_2015-04-26_final
2015-04-26 11:37:45	ga_ls8c_ard_3-0-0_113074_2015-04-26_final
2015-04-26 11:38:09	ga_ls8c_ard_3-0-0_113075_2015-04-26_final
2015-04-26 11:38:33	ga_ls8c_ard_3-0-0_113076_2015-04-26_final
2015-04-26 11:38:57	ga_ls8c_ard_3-0-0_113077_2015-04-26_final
2015-04-26 11:39:21	ga_ls8c_ard_3-0-0_113078_2015-04-26_final
2015-04-26 11:39:45	ga_ls8c_ard_3-0-0_113079_2015-04-26_final
2015-04-28 11:28:33	ga_ls8c_ard_3-0-0_111082_2015-04-28_final
2015-04-28 11:28:57	ga_ls8c_ard_3-0-0_111083_2015-04-28_final
2015-04-28 11:29:21	ga_ls8c_ard_3-0-0_111084_2015-04-28_final
2015-04-28 11:29:45	ga_ls8c_ard_3-0-0_111085_2015-04-28_final
2015-05-05 11:33:01	ga_ls8c_ard_3-0-0_112078_2015-05-05_final
2015-05-05 11:33:25	ga_ls8c_ard_3-0-0_112079_2015-05-05_final
2015-05-05 11:33:49	ga_ls8c_ard_3-0-0_112080_2015-05-05_final
2015-05-05 11:34:13	ga_ls8c_ard_3-0-0_112081_2015-05-05_final
2015-05-05 11:34:37	ga_ls8c_ard_3-0-0_112082_2015-05-05_final
2015-05-05 11:35:01	ga_ls8c_ard_3-0-0_112083_2015-05-05_final
2015-05-14 11:28:17	ga_ls8c_ard_3-0-0_111082_2015-05-14_final
2015-05-14 11:28:41	ga_ls8c_ard_3-0-0_111083_2015-05-14_final
2015-05-14 11:29:05	ga_ls8c_ard_3-0-0_111084_2015-05-14_final
2015-05-14 11:29:29	ga_ls8c_ard_3-0-0_111085_2015-05-14_final
2015-05-28 11:37:07	ga_ls8c_ard_3-0-0_113073_2015-05-28_final
2015-05-28 11:37:31	ga_ls8c_ard_3-0-0_113074_2015-05-28_final
2015-05-28 11:37:55	ga_ls8c_ard_3-0-0_113075_2015-05-28_final
2015-05-28 11:38:19	ga_ls8c_ard_3-0-0_113076_2015-05-28_final
2015-05-28 11:38:43	ga_ls8c_ard_3-0-0_113077_2015-05-28_final
2015-05-28 11:39:07	ga_ls8c_ard_3-0-0_113078_2015-05-28_final
2015-05-28 11:39:31	ga_ls8c_ard_3-0-0_113079_2015-05-28_final
2015-06-06 11:33:03	ga_ls8c_ard_3-0-0_112078_2015-06-06_final
2015-06-08 11:23:31	ga_ls8c_ard_3-0-0_110085_2015-06-08_final
2015-07-17 11:28:50	ga_ls8c_ard_3-0-0_111082_2015-07-17_final
2015-07-17 11:29:14	ga_ls8c_ard_3-0-0_111083_2015-07-17_final
2015-07-17 11:29:38	ga_ls8c_ard_3-0-0_111084_2015-07-17_final
2015-07-17 11:30:02	ga_ls8c_ard_3-0-0_111085_2015-07-17_final
2015-08-02 11:28:54	ga_ls8c_ard_3-0-0_111082_2015-08-02_final
2015-08-02 11:29:18	ga_ls8c_ard_3-0-0_111083_2015-08-02_final
2015-08-02 11:29:42	ga_ls8c_ard_3-0-0_111084_2015-08-02_final
2015-08-02 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-08-02_final
2018-10-18 11:44:29	ga_ls8c_ard_3-0-0_114074_2018-10-18_final
2018-12-05 11:44:32	ga_ls8c_ard_3-0-0_114074_2018-12-05_final
2018-12-21 11:44:30	ga_ls8c_ard_3-0-0_114074_2018-12-21_final
2019-06-24 11:37:55	ga_ls8c_ard_3-1-0_113073_2019-06-24_final
2019-06-24 11:38:19	ga_ls8c_ard_3-1-0_113074_2019-06-24_final
2019-06-24 11:38:43	ga_ls8c_ard_3-1-0_113075_2019-06-24_final
2019-06-24 11:39:07	ga_ls8c_ard_3-1-0_113076_2019-06-24_final
2019-06-24 11:39:31	ga_ls8c_ard_3-1-0_113077_2019-06-24_final
2019-06-24 11:39:55	ga_ls8c_ard_3-1-0_113078_2019-06-24_final
2019-06-24 11:40:19	ga_ls8c_ard_3-1-0_113079_2019-06-24_final
2019-07-10 11:37:59	ga_ls8c_ard_3-1-0_113073_2019-07-10_final
2019-07-10 11:38:23	ga_ls8c_ard_3-1-0_113074_2019-07-10_final
2019-07-10 11:38:47	ga_ls8c_ard_3-1-0_113075_2019-07-10_final
2019-07-10 11:39:11	ga_ls8c_ard_3-1-0_113076_2019-07-10_final
2019-07-10 11:39:35	ga_ls8c_ard_3-1-0_113077_2019-07-10_final
2019-07-10 11:39:58	ga_ls8c_ard_3-1-0_113078_2019-07-10_final
2019-07-10 11:40:22	ga_ls8c_ard_3-1-0_113079_2019-07-10_final
2019-08-11 11:38:10	ga_ls8c_ard_3-1-0_113073_2019-08-11_final
2019-08-11 11:38:34	ga_ls8c_ard_3-1-0_113074_2019-08-11_final
2019-08-11 11:38:57	ga_ls8c_ard_3-1-0_113075_2019-08-11_final
2019-08-11 11:39:21	ga_ls8c_ard_3-1-0_113076_2019-08-11_final
2019-08-11 11:39:45	ga_ls8c_ard_3-1-0_113077_2019-08-11_final
2019-08-11 11:40:09	ga_ls8c_ard_3-1-0_113078_2019-08-11_final
2019-08-11 11:40:33	ga_ls8c_ard_3-1-0_113079_2019-08-11_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
2019-08-13 11:30:12	ga_ls8c_ard_3-1-0_111084_2019-08-13_final
2019-08-13 11:30:36	ga_ls8c_ard_3-1-0_111085_2019-08-13_final
2019-09-30 11:29:38	ga_ls8c_ard_3-1-0_111082_2019-09-30_final
2019-09-30 11:30:02	ga_ls8c_ard_3-1-0_111083_2019-09-30_final
2019-09-30 11:30:26	ga_ls8c_ard_3-1-0_111084_2019-09-30_final
2019-09-30 11:30:50	ga_ls8c_ard_3-1-0_111085_2019-09-30_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

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