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
2014-03-08 11:29:50	ga_ls8c_ard_3-0-0_111082_2014-03-08_final
2014-03-08 11:30:14	ga_ls8c_ard_3-0-0_111083_2014-03-08_final
2014-03-08 11:30:38	ga_ls8c_ard_3-0-0_111084_2014-03-08_final
2014-04-25 11:29:07	ga_ls8c_ard_3-0-0_111082_2014-04-25_final
2014-04-25 11:29:31	ga_ls8c_ard_3-1-0_111083_2014-04-25_final
2014-04-25 11:29:55	ga_ls8c_ard_3-0-0_111084_2014-04-25_final
2014-05-11 11:28:52	ga_ls8c_ard_3-0-0_111082_2014-05-11_final
2014-05-11 11:29:16	ga_ls8c_ard_3-0-0_111083_2014-05-11_final
2014-05-11 11:29:40	ga_ls8c_ard_3-0-0_111084_2014-05-11_final
2014-06-10 11:37:44	ga_ls8c_ard_3-1-0_113073_2014-06-10_final
2014-06-10 11:38:08	ga_ls8c_ard_3-0-0_113074_2014-06-10_final
2014-06-10 11:38:32	ga_ls8c_ard_3-0-0_113075_2014-06-10_final
2014-06-10 11:38:56	ga_ls8c_ard_3-0-0_113076_2014-06-10_final
2014-06-10 11:39:20	ga_ls8c_ard_3-0-0_113077_2014-06-10_final
2014-06-10 11:39:44	ga_ls8c_ard_3-0-0_113078_2014-06-10_final
2014-06-10 11:40:07	ga_ls8c_ard_3-0-0_113079_2014-06-10_final
2014-06-12 11:28:58	ga_ls8c_ard_3-0-0_111082_2014-06-12_final
2014-06-12 11:29:22	ga_ls8c_ard_3-0-0_111083_2014-06-12_final
2014-06-12 11:29:46	ga_ls8c_ard_3-0-0_111084_2014-06-12_final
2014-06-28 11:29:00	ga_ls8c_ard_3-0-0_111082_2014-06-28_final
2014-06-28 11:29:24	ga_ls8c_ard_3-0-0_111083_2014-06-28_final
2014-06-28 11:29:48	ga_ls8c_ard_3-0-0_111084_2014-06-28_final
2014-10-07 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-23 11:44:51	ga_ls8c_ard_3-0-0_114074_2014-10-23_final
2014-10-25 11:34:04	ga_ls8c_ard_3-0-0_112078_2014-10-25_final
2014-10-25 11:34:28	ga_ls8c_ard_3-0-0_112079_2014-10-25_final
2014-10-25 11:34:52	ga_ls8c_ard_3-0-0_112080_2014-10-25_final
2014-10-25 11:35:16	ga_ls8c_ard_3-0-0_112081_2014-10-25_final
2014-10-25 11:35:40	ga_ls8c_ard_3-0-0_112082_2014-10-25_final
2014-10-25 11:36:04	ga_ls8c_ard_3-0-0_112083_2014-10-25_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
2015-05-28 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
2015-06-04 11:43:47	ga_ls8c_ard_3-0-0_114074_2015-06-04_final
2015-06-22 11:33:11	ga_ls8c_ard_3-0-0_112078_2015-06-22_final
2015-06-22 11:33:35	ga_ls8c_ard_3-0-0_112079_2015-06-22_final
2015-06-22 11:33:59	ga_ls8c_ard_3-0-0_112080_2015-06-22_final
2015-06-22 11:34:23	ga_ls8c_ard_3-0-0_112081_2015-06-22_final
2015-06-22 11:34:47	ga_ls8c_ard_3-0-0_112082_2015-06-22_final
2015-06-22 11:35:10	ga_ls8c_ard_3-0-0_112083_2015-06-22_final
2015-07-06 11:44:05	ga_ls8c_ard_3-0-0_114074_2015-07-06_final
2015-07-08 11:33:21	ga_ls8c_ard_3-0-0_112078_2015-07-08_final
2015-07-08 11:33:44	ga_ls8c_ard_3-0-0_112079_2015-07-08_final
2015-07-08 11:34:08	ga_ls8c_ard_3-0-0_112080_2015-07-08_final
2015-07-08 11:34:32	ga_ls8c_ard_3-0-0_112081_2015-07-08_final
2015-07-08 11:34:56	ga_ls8c_ard_3-0-0_112082_2015-07-08_final
2015-07-08 11:35:20	ga_ls8c_ard_3-0-0_112083_2015-07-08_final
2015-07-22 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-07-22_final
2016-01-23 11:38:08	ga_ls8c_ard_3-1-0_113073_2016-01-23_final
2016-01-23 11:38:32	ga_ls8c_ard_3-0-0_113074_2016-01-23_final
2016-01-23 11:38:56	ga_ls8c_ard_3-0-0_113075_2016-01-23_final
2016-01-23 11:39:20	ga_ls8c_ard_3-0-0_113076_2016-01-23_final
2016-01-23 11:39:44	ga_ls8c_ard_3-0-0_113077_2016-01-23_final
2016-01-23 11:40:08	ga_ls8c_ard_3-0-0_113078_2016-01-23_final
2016-01-23 11:40:31	ga_ls8c_ard_3-0-0_113079_2016-01-23_final
2016-02-10 11:29:16	ga_ls8c_ard_3-0-0_111082_2016-02-10_final
2016-02-10 11:29:40	ga_ls8c_ard_3-0-0_111083_2016-02-10_final
2016-02-10 11:30:04	ga_ls8c_ard_3-0-0_111084_2016-02-10_final
2016-02-10 11:30:28	ga_ls8c_ard_3-0-0_111085_2016-02-10_final
2016-02-24 11:38:20	ga_ls8c_ard_3-0-0_113074_2016-02-24_final
2016-02-24 11:38:44	ga_ls8c_ard_3-0-0_113075_2016-02-24_final
2016-02-24 11:39:08	ga_ls8c_ard_3-0-0_113076_2016-02-24_final
2016-03-11 11:38:18	ga_ls8c_ard_3-0-0_113074_2016-03-11_final
2016-03-11 11:38:42	ga_ls8c_ard_3-0-0_113075_2016-03-11_final
2016-03-11 11:39:06	ga_ls8c_ard_3-0-0_113076_2016-03-11_final
2016-03-11 11:39:30	ga_ls8c_ard_3-0-0_113077_2016-03-11_final
2016-03-11 11:39:54	ga_ls8c_ard_3-0-0_113078_2016-03-11_final
2016-03-11 11:40:18	ga_ls8c_ard_3-0-0_113079_2016-03-11_final
2016-03-13 11:29:07	ga_ls8c_ard_3-0-0_111082_2016-03-13_final
2016-03-13 11:29:31	ga_ls8c_ard_3-0-0_111083_2016-03-13_final
2016-03-13 11:29:55	ga_ls8c_ard_3-0-0_111084_2016-03-13_final
2016-03-13 11:30:19	ga_ls8c_ard_3-0-0_111085_2016-03-13_final
2016-04-05 11:33:30	ga_ls8c_ard_3-0-0_112078_2016-04-05_final
2016-04-05 11:33:54	ga_ls8c_ard_3-0-0_112079_2016-04-05_final
2016-04-05 11:34:18	ga_ls8c_ard_3-0-0_112080_2016-04-05_final
2016-04-05 11:34:42	ga_ls8c_ard_3-0-0_112081_2016-04-05_final
2016-04-05 11:35:06	ga_ls8c_ard_3-0-0_112082_2016-04-05_final
2016-04-05 11:35:30	ga_ls8c_ard_3-0-0_112083_2016-04-05_final
2016-04-14 11:28:52	ga_ls8c_ard_3-0-0_111082_2016-04-14_final
2016-04-14 11:29:16	ga_ls8c_ard_3-0-0_111083_2016-04-14_final
2016-04-14 11:29:40	ga_ls8c_ard_3-0-0_111084_2016-04-14_final
2016-04-14 11:30:04	ga_ls8c_ard_3-0-0_111085_2016-04-14_final
2016-04-21 11:33:24	ga_ls8c_ard_3-0-0_112078_2016-04-21_final
2016-04-21 11:33:48	ga_ls8c_ard_3-0-0_112079_2016-04-21_final
2016-04-21 11:34:12	ga_ls8c_ard_3-0-0_112080_2016-04-21_final
2016-04-21 11:34:36	ga_ls8c_ard_3-0-0_112081_2016-04-21_final
2016-04-21 11:35:00	ga_ls8c_ard_3-0-0_112082_2016-04-21_final
2016-04-21 11:35:24	ga_ls8c_ard_3-0-0_112083_2016-04-21_final
2018-11-03 11:44:33	ga_ls8c_ard_3-0-0_114074_2018-11-03_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