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
2013-11-16 11:30:58	ga_ls8c_ard_3-0-0_111082_2013-11-16_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2013-11-16 11:31:46	ga_ls8c_ard_3-0-0_111084_2013-11-16_final
2014-02-02 11:39:30	ga_ls8c_ard_3-0-0_113074_2014-02-02_final
2014-02-02 11:39:54	ga_ls8c_ard_3-0-0_113075_2014-02-02_final
2014-02-02 11:40:18	ga_ls8c_ard_3-0-0_113076_2014-02-02_final
2014-02-02 11:40:42	ga_ls8c_ard_3-0-0_113077_2014-02-02_final
2014-02-02 11:41:06	ga_ls8c_ard_3-0-0_113078_2014-02-02_final
2014-02-02 11:41:29	ga_ls8c_ard_3-0-0_113079_2014-02-02_final
2014-02-04 11:30:18	ga_ls8c_ard_3-0-0_111082_2014-02-04_final
2014-02-04 11:30:42	ga_ls8c_ard_3-0-0_111083_2014-02-04_final
2014-02-04 11:31:06	ga_ls8c_ard_3-0-0_111084_2014-02-04_final
2014-03-15 11:34:22	ga_ls8c_ard_3-0-0_112078_2014-03-15_final
2014-03-15 11:34:46	ga_ls8c_ard_3-0-0_112079_2014-03-15_final
2014-03-15 11:35:10	ga_ls8c_ard_3-0-0_112080_2014-03-15_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
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-07 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-04-07_final
2014-04-07 11:40:11	ga_ls8c_ard_3-0-0_113078_2014-04-07_final
2014-04-07 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-04-07_final
2014-04-09 11:29:23	ga_ls8c_ard_3-0-0_111082_2014-04-09_final
2014-04-09 11:29:47	ga_ls8c_ard_3-1-0_111083_2014-04-09_final
2014-04-09 11:30:11	ga_ls8c_ard_3-0-0_111084_2014-04-09_final
2014-05-02 11:34:46	ga_ls8c_ard_3-0-0_112081_2014-05-02_final
2014-05-02 11:35:10	ga_ls8c_ard_3-0-0_112082_2014-05-02_final
2014-05-02 11:35:34	ga_ls8c_ard_3-0-0_112083_2014-05-02_final
2014-05-09 11:37:39	ga_ls8c_ard_3-1-0_113073_2014-05-09_final
2014-05-09 11:38:03	ga_ls8c_ard_3-0-0_113074_2014-05-09_final
2014-05-09 11:38:27	ga_ls8c_ard_3-0-0_113075_2014-05-09_final
2014-05-09 11:38:51	ga_ls8c_ard_3-0-0_113076_2014-05-09_final
2014-05-09 11:39:15	ga_ls8c_ard_3-0-0_113077_2014-05-09_final
2014-05-09 11:39:39	ga_ls8c_ard_3-0-0_113078_2014-05-09_final
2014-05-09 11:40:03	ga_ls8c_ard_3-0-0_113079_2014-05-09_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
2014-06-01 11:44:14	ga_ls8c_ard_3-0-0_114074_2014-06-01_final
2017-03-21 11:44:17	ga_ls8c_ard_3-0-0_114074_2017-03-21_final
2017-03-23 11:33:30	ga_ls8c_ard_3-0-0_112078_2017-03-23_final
2017-03-23 11:33:54	ga_ls8c_ard_3-0-0_112079_2017-03-23_final
2017-03-23 11:34:17	ga_ls8c_ard_3-0-0_112080_2017-03-23_final
2017-03-23 11:34:41	ga_ls8c_ard_3-0-0_112081_2017-03-23_final
2017-03-23 11:35:05	ga_ls8c_ard_3-0-0_112082_2017-03-23_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-07-20 11:37:55	ga_ls8c_ard_3-1-0_113073_2017-07-20_final
2017-07-20 11:38:19	ga_ls8c_ard_3-0-0_113074_2017-07-20_final
2017-07-20 11:38:43	ga_ls8c_ard_3-0-0_113075_2017-07-20_final
2017-07-20 11:39:07	ga_ls8c_ard_3-0-0_113076_2017-07-20_final
2017-07-20 11:39:31	ga_ls8c_ard_3-0-0_113077_2017-07-20_final
2017-07-20 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-07-20_final
2017-07-20 11:40:19	ga_ls8c_ard_3-0-0_113079_2017-07-20_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-07-22 11:29:58	ga_ls8c_ard_3-0-0_111084_2017-07-22_final
2017-07-22 11:30:22	ga_ls8c_ard_3-0-0_111085_2017-07-22_final
2018-02-13 11:37:52	ga_ls8c_ard_3-0-0_113073_2018-02-13_final
2018-02-13 11:38:16	ga_ls8c_ard_3-0-0_113074_2018-02-13_final
2018-02-13 11:38:40	ga_ls8c_ard_3-0-0_113075_2018-02-13_final
2018-02-13 11:39:04	ga_ls8c_ard_3-0-0_113076_2018-02-13_final
2018-02-13 11:39:28	ga_ls8c_ard_3-0-0_113077_2018-02-13_final
2018-02-13 11:39:52	ga_ls8c_ard_3-0-0_113078_2018-02-13_final
2018-02-13 11:40:16	ga_ls8c_ard_3-0-0_113079_2018-02-13_final
2018-02-15 11:29:05	ga_ls8c_ard_3-0-0_111082_2018-02-15_final
2018-02-15 11:29:29	ga_ls8c_ard_3-0-0_111083_2018-02-15_final
2018-02-15 11:29:53	ga_ls8c_ard_3-0-0_111084_2018-02-15_final
2018-02-15 11:30:17	ga_ls8c_ard_3-0-0_111085_2018-02-15_final
2019-03-29 11:33:25	ga_ls8c_ard_3-1-0_112078_2019-03-29_final
2019-03-29 11:33:49	ga_ls8c_ard_3-1-0_112079_2019-03-29_final
2019-04-05 11:37:34	ga_ls8c_ard_3-1-0_113073_2019-04-05_final
2019-04-05 11:37:58	ga_ls8c_ard_3-1-0_113074_2019-04-05_final
2019-04-05 11:38:22	ga_ls8c_ard_3-1-0_113075_2019-04-05_final
2019-04-05 11:38:46	ga_ls8c_ard_3-1-0_113076_2019-04-05_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
2024-03-17 11:37:51	ga_ls8c_ard_3-2-1_113073_2024-03-17_final
2024-03-17 11:38:15	ga_ls8c_ard_3-2-1_113074_2024-03-17_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-17 11:39:03	ga_ls8c_ard_3-2-1_113076_2024-03-17_final
2024-03-17 11:39:27	ga_ls8c_ard_3-2-1_113077_2024-03-17_final
2024-03-17 11:39:51	ga_ls8c_ard_3-2-1_113078_2024-03-17_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-24 11:44:19	ga_ls8c_ard_3-2-1_114074_2024-03-24_final
2024-03-26 11:33:30	ga_ls8c_ard_3-2-1_112078_2024-03-26_final
2024-03-26 11:33:54	ga_ls8c_ard_3-2-1_112079_2024-03-26_final
2024-03-26 11:34:17	ga_ls8c_ard_3-2-1_112080_2024-03-26_final
2024-03-26 11:34:41	ga_ls8c_ard_3-2-1_112081_2024-03-26_final
2024-03-26 11:35:05	ga_ls8c_ard_3-2-1_112082_2024-03-26_final
2024-03-26 11:35:29	ga_ls8c_ard_3-2-1_112083_2024-03-26_final
2024-04-02 11:37:40	ga_ls8c_ard_3-2-1_113073_2024-04-02_final
2024-04-02 11:38:03	ga_ls8c_ard_3-2-1_113074_2024-04-02_final
2024-04-02 11:38:27	ga_ls8c_ard_3-2-1_113075_2024-04-02_final
2024-04-02 11:38:51	ga_ls8c_ard_3-2-1_113076_2024-04-02_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-02 11:39:39	ga_ls8c_ard_3-2-1_113078_2024-04-02_final
2024-04-02 11:40:03	ga_ls8c_ard_3-2-1_113079_2024-04-02_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_2024-04-04_final
2024-04-04 11:29:17	ga_ls8c_ard_3-2-1_111083_2024-04-04_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