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
2014-08-22 11:29:33	ga_ls8c_ard_3-0-0_112067_2014-08-22_final
2014-08-22 11:29:57	ga_ls8c_ard_3-0-0_112068_2014-08-22_final
2014-08-22 11:30:21	ga_ls8c_ard_3-0-0_112069_2014-08-22_final
2014-08-22 11:30:45	ga_ls8c_ard_3-0-0_112070_2014-08-22_final
2014-08-22 11:31:09	ga_ls8c_ard_3-0-0_112071_2014-08-22_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-10-18 11:25:31	ga_ls8c_ard_3-0-0_111072_2014-10-18_final
2014-10-18 11:25:55	ga_ls8c_ard_3-0-0_111073_2014-10-18_final
2014-10-18 11:26:19	ga_ls8c_ard_3-0-0_111074_2014-10-18_final
2014-10-18 11:26:43	ga_ls8c_ard_3-0-0_111075_2014-10-18_final
2014-10-18 11:27:07	ga_ls8c_ard_3-0-0_111076_2014-10-18_final
2014-10-18 11:27:31	ga_ls8c_ard_3-0-0_111077_2014-10-18_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2016-05-07 11:29:04	ga_ls8c_ard_3-0-0_112067_2016-05-07_final
2016-05-07 11:29:28	ga_ls8c_ard_3-0-0_112068_2016-05-07_final
2016-05-07 11:29:52	ga_ls8c_ard_3-0-0_112069_2016-05-07_final
2016-05-07 11:30:16	ga_ls8c_ard_3-0-0_112070_2016-05-07_final
2016-05-07 11:30:40	ga_ls8c_ard_3-0-0_112071_2016-05-07_final
2016-05-07 11:31:04	ga_ls8c_ard_3-0-0_112072_2016-05-07_final
2016-05-07 11:31:28	ga_ls8c_ard_3-0-0_112073_2016-05-07_final
2016-05-09 11:20:16	ga_ls8c_ard_3-0-0_110076_2016-05-09_final
2016-05-09 11:20:40	ga_ls8c_ard_3-0-0_110077_2016-05-09_final
2016-05-09 11:21:04	ga_ls8c_ard_3-0-0_110078_2016-05-09_final
2016-05-09 11:21:28	ga_ls8c_ard_3-0-0_110079_2016-05-09_final
2016-05-09 11:21:52	ga_ls8c_ard_3-0-0_110080_2016-05-09_final
2016-05-09 11:22:16	ga_ls8c_ard_3-0-0_110081_2016-05-09_final
2016-05-09 11:22:40	ga_ls8c_ard_3-0-0_110082_2016-05-09_final
2016-05-11 11:11:05	ga_ls8c_ard_3-0-0_108084_2016-05-11_final
2016-05-11 11:11:29	ga_ls8c_ard_3-0-0_108085_2016-05-11_final
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-06-12 11:11:14	ga_ls8c_ard_3-0-0_108084_2016-06-12_final
2016-06-12 11:11:38	ga_ls8c_ard_3-0-0_108085_2016-06-12_final
2016-06-15 11:35:21	ga_ls8c_ard_3-0-0_113067_2016-06-15_final
2016-07-01 11:35:30	ga_ls8c_ard_3-0-0_113067_2016-07-01_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-07-30 11:11:33	ga_ls8c_ard_3-0-0_108084_2016-07-30_final
2016-07-30 11:11:57	ga_ls8c_ard_3-0-0_108085_2016-07-30_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2018-09-11 11:24:54	ga_ls8c_ard_3-0-0_111072_2018-09-11_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-09-11 11:25:41	ga_ls8c_ard_3-0-0_111074_2018-09-11_final
2018-09-11 11:26:05	ga_ls8c_ard_3-0-0_111075_2018-09-11_final
2018-09-11 11:26:29	ga_ls8c_ard_3-0-0_111076_2018-09-11_final
2018-09-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2018-09-11_final
2018-09-11 11:27:17	ga_ls8c_ard_3-0-0_111078_2018-09-11_final
2018-09-13 11:16:08	ga_ls8c_ard_3-0-0_109081_2018-09-13_final
2018-09-13 11:16:32	ga_ls8c_ard_3-0-0_109082_2018-09-13_final
2018-09-13 11:16:56	ga_ls8c_ard_3-0-0_109083_2018-09-13_final
2018-09-13 11:17:20	ga_ls8c_ard_3-0-0_109084_2018-09-13_final
2018-09-13 11:17:44	ga_ls8c_ard_3-0-0_109085_2018-09-13_final
2018-11-14 11:25:13	ga_ls8c_ard_3-0-0_111072_2018-11-14_final
2018-11-14 11:25:37	ga_ls8c_ard_3-0-0_111073_2018-11-14_final
2018-11-14 11:26:01	ga_ls8c_ard_3-0-0_111074_2018-11-14_final
2018-11-14 11:26:25	ga_ls8c_ard_3-0-0_111075_2018-11-14_final
2018-11-14 11:26:49	ga_ls8c_ard_3-0-0_111076_2018-11-14_final
2018-11-14 11:27:13	ga_ls8c_ard_3-0-0_111077_2018-11-14_final
2018-11-14 11:27:37	ga_ls8c_ard_3-0-0_111078_2018-11-14_final
2018-11-16 11:16:27	ga_ls8c_ard_3-0-0_109081_2018-11-16_final
2018-11-16 11:16:51	ga_ls8c_ard_3-0-0_109082_2018-11-16_final
2018-11-16 11:17:15	ga_ls8c_ard_3-0-0_109083_2018-11-16_final
2018-11-16 11:17:39	ga_ls8c_ard_3-0-0_109084_2018-11-16_final
2018-11-16 11:18:03	ga_ls8c_ard_3-0-0_109085_2018-11-16_final
2020-06-21 11:20:48	ga_ls8c_ard_3-1-0_110077_2020-06-21_final
2020-06-21 11:21:12	ga_ls8c_ard_3-1-0_110078_2020-06-21_final
2020-06-21 11:21:36	ga_ls8c_ard_3-1-0_110079_2020-06-21_final
2020-06-21 11:22:00	ga_ls8c_ard_3-1-0_110080_2020-06-21_final
2020-06-21 11:22:24	ga_ls8c_ard_3-1-0_110081_2020-06-21_final
2020-06-21 11:22:48	ga_ls8c_ard_3-1-0_110082_2020-06-21_final
2020-06-23 11:11:15	ga_ls8c_ard_3-1-0_108084_2020-06-23_final
2020-06-23 11:11:39	ga_ls8c_ard_3-1-0_108085_2020-06-23_final
2020-06-30 11:16:17	ga_ls8c_ard_3-1-0_109081_2020-06-30_final
2020-06-30 11:16:41	ga_ls8c_ard_3-1-0_109082_2020-06-30_final
2020-06-30 11:17:05	ga_ls8c_ard_3-1-0_109083_2020-06-30_final
2020-06-30 11:17:29	ga_ls8c_ard_3-1-0_109084_2020-06-30_final
2020-06-30 11:17:53	ga_ls8c_ard_3-1-0_109085_2020-06-30_final
2020-07-07 11:20:55	ga_ls8c_ard_3-1-0_110077_2020-07-07_final
2020-07-07 11:21:19	ga_ls8c_ard_3-1-0_110078_2020-07-07_final
2020-07-07 11:21:43	ga_ls8c_ard_3-1-0_110079_2020-07-07_final
2020-07-07 11:22:07	ga_ls8c_ard_3-1-0_110080_2020-07-07_final
2020-07-07 11:22:31	ga_ls8c_ard_3-1-0_110081_2020-07-07_final
2020-07-07 11:22:55	ga_ls8c_ard_3-1-0_110082_2020-07-07_final
2020-07-09 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-07-09_final
2020-07-09 11:11:46	ga_ls8c_ard_3-1-0_108085_2020-07-09_final
2020-07-16 11:16:24	ga_ls8c_ard_3-1-0_109081_2020-07-16_final
2020-07-16 11:16:48	ga_ls8c_ard_3-1-0_109082_2020-07-16_final
2020-07-16 11:17:12	ga_ls8c_ard_3-1-0_109083_2020-07-16_final
2020-07-16 11:17:35	ga_ls8c_ard_3-1-0_109084_2020-07-16_final
2020-07-16 11:17:59	ga_ls8c_ard_3-1-0_109085_2020-07-16_final
2020-07-30 11:25:14	ga_ls8c_ard_3-1-0_111072_2020-07-30_final
2020-07-30 11:25:38	ga_ls8c_ard_3-1-0_111073_2020-07-30_final
2020-07-30 11:26:02	ga_ls8c_ard_3-1-0_111074_2020-07-30_final
2020-07-30 11:26:25	ga_ls8c_ard_3-1-0_111075_2020-07-30_final
2020-07-30 11:26:49	ga_ls8c_ard_3-1-0_111076_2020-07-30_final
2020-07-30 11:27:13	ga_ls8c_ard_3-1-0_111077_2020-07-30_final
2020-07-30 11:27:37	ga_ls8c_ard_3-1-0_111078_2020-07-30_final
2020-08-01 11:16:28	ga_ls8c_ard_3-1-0_109081_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_final
2020-08-01 11:17:40	ga_ls8c_ard_3-1-0_109084_2020-08-01_final
2020-08-01 11:18:04	ga_ls8c_ard_3-1-0_109085_2020-08-01_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