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
2013-12-26 10:35:41	ga_ls8c_ard_3-0-0_103068_2013-12-26_final
2013-12-26 10:36:53	ga_ls8c_ard_3-0-0_103071_2013-12-26_final
2013-12-26 10:37:17	ga_ls8c_ard_3-0-0_103072_2013-12-26_final
2013-12-26 10:37:41	ga_ls8c_ard_3-0-0_103073_2013-12-26_final
2013-12-28 10:26:55	ga_ls8c_ard_3-0-0_101077_2013-12-28_final
2013-12-28 10:27:18	ga_ls8c_ard_3-0-0_101078_2013-12-28_final
2013-12-28 10:27:42	ga_ls8c_ard_3-0-0_101079_2013-12-28_final
2013-12-28 10:28:06	ga_ls8c_ard_3-0-0_101080_2013-12-28_final
2013-12-28 10:28:30	ga_ls8c_ard_3-0-0_101081_2013-12-28_final
2013-12-28 10:28:54	ga_ls8c_ard_3-0-0_101082_2013-12-28_final
2015-02-26 10:20:41	ga_ls8c_ard_3-0-0_100081_2015-02-26_final
2015-02-26 10:21:05	ga_ls8c_ard_3-0-0_100082_2015-02-26_final
2015-02-26 10:21:29	ga_ls8c_ard_3-0-0_100083_2015-02-26_final
2015-02-26 10:21:53	ga_ls8c_ard_3-0-0_100084_2015-02-26_final
2015-02-26 10:22:17	ga_ls8c_ard_3-0-0_100085_2015-02-26_final
2015-05-10 10:14:59	ga_ls8c_ard_3-0-0_099084_2015-05-10_final
2015-05-10 10:15:23	ga_ls8c_ard_3-0-0_099085_2015-05-10_final
2015-06-02 10:20:02	ga_ls8c_ard_3-0-0_100081_2015-06-02_final
2015-06-02 10:20:26	ga_ls8c_ard_3-1-0_100082_2015-06-02_final
2015-06-02 10:20:50	ga_ls8c_ard_3-0-0_100083_2015-06-02_final
2015-06-02 10:21:13	ga_ls8c_ard_3-0-0_100084_2015-06-02_final
2015-06-02 10:21:37	ga_ls8c_ard_3-0-0_100085_2015-06-02_final
2016-07-31 10:15:56	ga_ls8c_ard_3-0-0_099084_2016-07-31_final
2016-07-31 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-07-31_final
2016-09-06 10:29:52	ga_ls8c_ard_3-0-0_102072_2016-09-06_final
2016-09-06 10:30:16	ga_ls8c_ard_3-0-0_102073_2016-09-06_final
2016-09-06 10:30:40	ga_ls8c_ard_3-0-0_102074_2016-09-06_final
2016-09-06 10:31:04	ga_ls8c_ard_3-0-0_102075_2016-09-06_final
2016-09-06 10:31:28	ga_ls8c_ard_3-0-0_102076_2016-09-06_final
2016-09-08 10:21:07	ga_ls8c_ard_3-0-0_100081_2016-09-08_final
2016-09-08 10:21:31	ga_ls8c_ard_3-0-0_100082_2016-09-08_final
2016-09-08 10:21:54	ga_ls8c_ard_3-0-0_100083_2016-09-08_final
2016-09-08 10:22:18	ga_ls8c_ard_3-0-0_100084_2016-09-08_final
2016-09-08 10:22:42	ga_ls8c_ard_3-0-0_100085_2016-09-08_final
2016-09-29 10:34:05	ga_ls8c_ard_3-0-0_103067_2016-09-29_final
2016-09-29 10:34:29	ga_ls8c_ard_3-0-0_103068_2016-09-29_final
2016-09-29 10:34:53	ga_ls8c_ard_3-0-0_103069_2016-09-29_final
2016-09-29 10:35:16	ga_ls8c_ard_3-0-0_103070_2016-09-29_final
2016-09-29 10:35:40	ga_ls8c_ard_3-0-0_103071_2016-09-29_final
2016-09-29 10:36:04	ga_ls8c_ard_3-0-0_103072_2016-09-29_final
2016-09-29 10:36:28	ga_ls8c_ard_3-0-0_103073_2016-09-29_final
2016-10-01 10:25:43	ga_ls8c_ard_3-0-0_101077_2016-10-01_final
2016-10-01 10:26:07	ga_ls8c_ard_3-0-0_101078_2016-10-01_final
2016-10-01 10:26:31	ga_ls8c_ard_3-0-0_101079_2016-10-01_final
2016-10-01 10:26:55	ga_ls8c_ard_3-0-0_101080_2016-10-01_final
2016-10-01 10:27:19	ga_ls8c_ard_3-0-0_101081_2016-10-01_final
2016-10-01 10:27:43	ga_ls8c_ard_3-0-0_101082_2016-10-01_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2016-10-10 10:21:36	ga_ls8c_ard_3-0-0_100082_2016-10-10_final
2016-10-10 10:22:00	ga_ls8c_ard_3-0-0_100083_2016-10-10_final
2016-10-10 10:22:24	ga_ls8c_ard_3-0-0_100084_2016-10-10_final
2016-10-10 10:22:48	ga_ls8c_ard_3-0-0_100085_2016-10-10_final
2019-07-11 10:39:58	ga_ls8c_ard_3-1-0_104067_2019-07-11_final
2019-07-11 10:40:22	ga_ls8c_ard_3-1-0_104068_2019-07-11_final
2019-07-13 10:29:36	ga_ls8c_ard_3-1-0_102072_2019-07-13_final
2019-07-13 10:30:00	ga_ls8c_ard_3-1-0_102073_2019-07-13_final
2019-07-13 10:30:24	ga_ls8c_ard_3-1-0_102074_2019-07-13_final
2019-07-13 10:30:48	ga_ls8c_ard_3-1-0_102075_2019-07-13_final
2019-07-13 10:31:12	ga_ls8c_ard_3-1-0_102076_2019-07-13_final
2019-07-13 10:31:36	ga_ls8c_ard_3-1-0_102077_2019-07-13_final
2019-07-13 10:32:00	ga_ls8c_ard_3-1-0_102078_2019-07-13_final
2019-07-15 10:20:50	ga_ls8c_ard_3-1-0_100081_2019-07-15_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-07-15 10:21:38	ga_ls8c_ard_3-1-0_100083_2019-07-15_final
2019-07-15 10:22:02	ga_ls8c_ard_3-1-0_100084_2019-07-15_final
2019-07-15 10:22:26	ga_ls8c_ard_3-1-0_100085_2019-07-15_final
2019-08-28 10:40:13	ga_ls8c_ard_3-1-0_104067_2019-08-28_final
2019-08-28 10:40:37	ga_ls8c_ard_3-1-0_104068_2019-08-28_final
2019-08-30 10:29:51	ga_ls8c_ard_3-1-0_102072_2019-08-30_final
2019-08-30 10:30:15	ga_ls8c_ard_3-1-0_102073_2019-08-30_final
2019-08-30 10:30:39	ga_ls8c_ard_3-1-0_102074_2019-08-30_final
2019-08-30 10:31:03	ga_ls8c_ard_3-1-0_102075_2019-08-30_final
2019-08-30 10:31:27	ga_ls8c_ard_3-1-0_102076_2019-08-30_final
2019-08-30 10:31:51	ga_ls8c_ard_3-1-0_102077_2019-08-30_final
2019-08-30 10:32:15	ga_ls8c_ard_3-1-0_102078_2019-08-30_final
2019-09-06 10:34:04	ga_ls8c_ard_3-1-0_103067_2019-09-06_final
2019-09-06 10:34:28	ga_ls8c_ard_3-1-0_103068_2019-09-06_final
2019-09-06 10:34:52	ga_ls8c_ard_3-1-0_103069_2019-09-06_final
2019-09-06 10:35:16	ga_ls8c_ard_3-1-0_103070_2019-09-06_final
2019-09-06 10:35:40	ga_ls8c_ard_3-1-0_103071_2019-09-06_final
2019-09-06 10:36:03	ga_ls8c_ard_3-1-0_103072_2019-09-06_final
2019-09-06 10:36:27	ga_ls8c_ard_3-1-0_103073_2019-09-06_final
2019-09-08 10:25:42	ga_ls8c_ard_3-1-0_101077_2019-09-08_final
2019-09-08 10:26:06	ga_ls8c_ard_3-1-0_101078_2019-09-08_final
2019-09-08 10:26:30	ga_ls8c_ard_3-1-0_101079_2019-09-08_final
2019-09-08 10:26:54	ga_ls8c_ard_3-1-0_101080_2019-09-08_final
2019-09-08 10:27:18	ga_ls8c_ard_3-1-0_101081_2019-09-08_final
2019-09-08 10:27:42	ga_ls8c_ard_3-1-0_101082_2019-09-08_final
2019-10-24 10:34:15	ga_ls8c_ard_3-1-0_103067_2019-10-24_final
2019-10-24 10:34:39	ga_ls8c_ard_3-1-0_103068_2019-10-24_final
2019-10-24 10:35:03	ga_ls8c_ard_3-1-0_103069_2019-10-24_final
2019-10-24 10:35:27	ga_ls8c_ard_3-1-0_103070_2019-10-24_final
2019-10-24 10:35:51	ga_ls8c_ard_3-1-0_103071_2019-10-24_final
2019-10-24 10:36:14	ga_ls8c_ard_3-1-0_103072_2019-10-24_final
2019-10-24 10:36:38	ga_ls8c_ard_3-1-0_103073_2019-10-24_final
2019-10-26 10:25:53	ga_ls8c_ard_3-1-0_101077_2019-10-26_final
2019-10-26 10:26:16	ga_ls8c_ard_3-1-0_101078_2019-10-26_final
2019-10-26 10:26:40	ga_ls8c_ard_3-1-0_101079_2019-10-26_final
2019-10-26 10:27:04	ga_ls8c_ard_3-1-0_101080_2019-10-26_final
2019-10-26 10:27:28	ga_ls8c_ard_3-1-0_101081_2019-10-26_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