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
2013-04-09 10:26:46	ga_ls8c_ard_3-0-0_101075_2013-04-09_final
2013-04-09 10:27:10	ga_ls8c_ard_3-0-0_101076_2013-04-09_final
2013-04-09 10:27:34	ga_ls8c_ard_3-0-0_101077_2013-04-09_final
2013-04-09 10:27:58	ga_ls8c_ard_3-0-0_101078_2013-04-09_final
2013-04-09 10:28:22	ga_ls8c_ard_3-0-0_101079_2013-04-09_final
2013-04-09 10:28:46	ga_ls8c_ard_3-0-0_101080_2013-04-09_final
2013-04-09 10:29:10	ga_ls8c_ard_3-0-0_101081_2013-04-09_final
2013-04-30 10:36:02	ga_ls8c_ard_3-0-0_103068_2013-04-30_final
2013-04-30 10:36:26	ga_ls8c_ard_3-0-0_103069_2013-04-30_final
2013-04-30 10:36:49	ga_ls8c_ard_3-0-0_103070_2013-04-30_final
2013-04-30 10:37:13	ga_ls8c_ard_3-0-0_103071_2013-04-30_final
2013-04-30 10:37:37	ga_ls8c_ard_3-0-0_103072_2013-04-30_final
2013-05-02 10:26:52	ga_ls8c_ard_3-0-0_101076_2013-05-02_final
2013-05-02 10:27:16	ga_ls8c_ard_3-0-0_101077_2013-05-02_final
2013-05-02 10:27:40	ga_ls8c_ard_3-0-0_101078_2013-05-02_final
2013-05-02 10:28:04	ga_ls8c_ard_3-0-0_101079_2013-05-02_final
2013-05-02 10:28:28	ga_ls8c_ard_3-0-0_101080_2013-05-02_final
2013-05-02 10:28:52	ga_ls8c_ard_3-0-0_101081_2013-05-02_final
2013-05-25 10:31:19	ga_ls8c_ard_3-0-0_102071_2013-05-25_final
2013-05-25 10:31:43	ga_ls8c_ard_3-0-0_102072_2013-05-25_final
2013-05-25 10:32:07	ga_ls8c_ard_3-0-0_102073_2013-05-25_final
2013-05-25 10:32:31	ga_ls8c_ard_3-0-0_102074_2013-05-25_final
2013-05-25 10:32:55	ga_ls8c_ard_3-0-0_102075_2013-05-25_final
2013-05-25 10:33:19	ga_ls8c_ard_3-0-0_102076_2013-05-25_final
2013-06-10 10:31:17	ga_ls8c_ard_3-0-0_102071_2013-06-10_final
2013-06-10 10:31:41	ga_ls8c_ard_3-0-0_102072_2013-06-10_final
2013-06-10 10:32:05	ga_ls8c_ard_3-0-0_102073_2013-06-10_final
2013-06-10 10:32:29	ga_ls8c_ard_3-0-0_102074_2013-06-10_final
2013-06-10 10:32:53	ga_ls8c_ard_3-0-0_102075_2013-06-10_final
2013-06-10 10:33:17	ga_ls8c_ard_3-0-0_102076_2013-06-10_final
2013-06-12 10:22:30	ga_ls8c_ard_3-0-0_100080_2013-06-12_final
2013-06-12 10:22:54	ga_ls8c_ard_3-0-0_100081_2013-06-12_final
2013-06-12 10:23:18	ga_ls8c_ard_3-0-0_100082_2013-06-12_final
2013-06-12 10:23:42	ga_ls8c_ard_3-0-0_100083_2013-06-12_final
2014-08-23 10:34:20	ga_ls8c_ard_3-0-0_103068_2014-08-23_final
2014-08-23 10:34:44	ga_ls8c_ard_3-0-0_103069_2014-08-23_final
2014-08-23 10:35:08	ga_ls8c_ard_3-0-0_103070_2014-08-23_final
2014-08-23 10:35:31	ga_ls8c_ard_3-0-0_103071_2014-08-23_final
2014-08-23 10:35:55	ga_ls8c_ard_3-0-0_103072_2014-08-23_final
2014-08-25 10:25:10	ga_ls8c_ard_3-0-0_101076_2014-08-25_final
2014-08-25 10:25:33	ga_ls8c_ard_3-0-0_101077_2014-08-25_final
2014-08-25 10:25:57	ga_ls8c_ard_3-0-0_101078_2014-08-25_final
2014-08-25 10:26:21	ga_ls8c_ard_3-0-0_101079_2014-08-25_final
2014-08-25 10:26:45	ga_ls8c_ard_3-0-0_101080_2014-08-25_final
2014-08-25 10:27:09	ga_ls8c_ard_3-0-0_101081_2014-08-25_final
2014-12-29 10:34:18	ga_ls8c_ard_3-0-0_103068_2014-12-29_final
2014-12-29 10:34:42	ga_ls8c_ard_3-0-0_103069_2014-12-29_final
2014-12-29 10:35:06	ga_ls8c_ard_3-0-0_103070_2014-12-29_final
2014-12-29 10:35:30	ga_ls8c_ard_3-0-0_103071_2014-12-29_final
2014-12-29 10:35:54	ga_ls8c_ard_3-0-0_103072_2014-12-29_final
2014-12-31 10:25:06	ga_ls8c_ard_3-0-0_101076_2014-12-31_final
2014-12-31 10:25:30	ga_ls8c_ard_3-0-0_101077_2014-12-31_final
2014-12-31 10:25:54	ga_ls8c_ard_3-0-0_101078_2014-12-31_final
2014-12-31 10:26:18	ga_ls8c_ard_3-0-0_101079_2014-12-31_final
2014-12-31 10:26:42	ga_ls8c_ard_3-0-0_101080_2014-12-31_final
2014-12-31 10:27:06	ga_ls8c_ard_3-0-0_101081_2014-12-31_final
2017-03-31 10:39:37	ga_ls8c_ard_3-0-0_104067_2017-03-31_final
2017-05-18 10:39:30	ga_ls8c_ard_3-0-0_104067_2017-05-18_final
2017-05-20 10:28:45	ga_ls8c_ard_3-0-0_102071_2017-05-20_final
2017-05-20 10:29:09	ga_ls8c_ard_3-0-0_102072_2017-05-20_final
2017-05-20 10:29:33	ga_ls8c_ard_3-0-0_102073_2017-05-20_final
2017-05-20 10:29:57	ga_ls8c_ard_3-0-0_102074_2017-05-20_final
2017-05-20 10:30:21	ga_ls8c_ard_3-0-0_102075_2017-05-20_final
2017-05-20 10:30:45	ga_ls8c_ard_3-0-0_102076_2017-05-20_final
2017-05-20 10:31:09	ga_ls8c_ard_3-0-0_102077_2017-05-20_final
2017-05-22 10:20:00	ga_ls8c_ard_3-0-0_100080_2017-05-22_final
2017-05-22 10:20:24	ga_ls8c_ard_3-0-0_100081_2017-05-22_final
2017-05-22 10:20:48	ga_ls8c_ard_3-0-0_100082_2017-05-22_final
2017-05-22 10:21:12	ga_ls8c_ard_3-0-0_100083_2017-05-22_final
2017-05-22 10:21:36	ga_ls8c_ard_3-0-0_100084_2017-05-22_final
2017-05-22 10:22:00	ga_ls8c_ard_3-0-0_100085_2017-05-22_final
2017-07-07 10:29:04	ga_ls8c_ard_3-0-0_102071_2017-07-07_final
2017-07-07 10:29:28	ga_ls8c_ard_3-0-0_102072_2017-07-07_final
2017-07-07 10:29:51	ga_ls8c_ard_3-0-0_102073_2017-07-07_final
2017-07-07 10:30:15	ga_ls8c_ard_3-0-0_102074_2017-07-07_final
2017-07-07 10:30:39	ga_ls8c_ard_3-0-0_102075_2017-07-07_final
2017-07-07 10:31:03	ga_ls8c_ard_3-0-0_102076_2017-07-07_final
2017-07-07 10:31:27	ga_ls8c_ard_3-0-0_102077_2017-07-07_final
2017-07-09 10:20:18	ga_ls8c_ard_3-0-0_100080_2017-07-09_final
2017-07-09 10:20:42	ga_ls8c_ard_3-0-0_100081_2017-07-09_final
2017-07-09 10:21:06	ga_ls8c_ard_3-0-0_100082_2017-07-09_final
2017-07-09 10:21:30	ga_ls8c_ard_3-0-0_100083_2017-07-09_final
2017-07-09 10:21:54	ga_ls8c_ard_3-0-0_100084_2017-07-09_final
2017-07-09 10:22:17	ga_ls8c_ard_3-0-0_100085_2017-07-09_final
2017-07-14 10:33:40	ga_ls8c_ard_3-0-0_103067_2017-07-14_final
2017-07-14 10:34:04	ga_ls8c_ard_3-0-0_103068_2017-07-14_final
2017-07-14 10:34:28	ga_ls8c_ard_3-0-0_103069_2017-07-14_final
2017-07-14 10:34:51	ga_ls8c_ard_3-0-0_103070_2017-07-14_final
2017-07-14 10:35:15	ga_ls8c_ard_3-0-0_103071_2017-07-14_final
2017-07-14 10:35:39	ga_ls8c_ard_3-0-0_103072_2017-07-14_final
2017-07-16 10:24:55	ga_ls8c_ard_3-0-0_101076_2017-07-16_final
2017-07-16 10:25:19	ga_ls8c_ard_3-0-0_101077_2017-07-16_final
2017-07-16 10:25:43	ga_ls8c_ard_3-0-0_101078_2017-07-16_final
2017-07-16 10:26:06	ga_ls8c_ard_3-0-0_101079_2017-07-16_final
2017-07-16 10:26:30	ga_ls8c_ard_3-0-0_101080_2017-07-16_final
2017-07-16 10:26:54	ga_ls8c_ard_3-0-0_101081_2017-07-16_final
2021-02-08 10:29:22	ga_ls8c_ard_3-2-0_102071_2021-02-08_final
2021-02-08 10:29:46	ga_ls8c_ard_3-2-0_102072_2021-02-08_final
2021-02-08 10:30:58	ga_ls8c_ard_3-2-0_102075_2021-02-08_final
2021-02-08 10:31:22	ga_ls8c_ard_3-2-0_102076_2021-02-08_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