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
2015-08-31 10:52:12	ga_ls8c_ard_3-0-0_106067_2015-08-31_final
2015-08-31 10:52:36	ga_ls8c_ard_3-0-0_106068_2015-08-31_final
2015-08-31 10:53:00	ga_ls8c_ard_3-0-0_106069_2015-08-31_final
2015-09-02 10:42:14	ga_ls8c_ard_3-0-0_104073_2015-09-02_final
2015-09-02 10:42:38	ga_ls8c_ard_3-0-0_104074_2015-09-02_final
2015-09-02 10:43:02	ga_ls8c_ard_3-0-0_104075_2015-09-02_final
2015-09-02 10:43:26	ga_ls8c_ard_3-0-0_104076_2015-09-02_final
2015-09-02 10:43:50	ga_ls8c_ard_3-1-0_104077_2015-09-02_final
2015-09-02 10:44:14	ga_ls8c_ard_3-0-0_104078_2015-09-02_final
2015-09-02 10:44:38	ga_ls8c_ard_3-0-0_104079_2015-09-02_final
2015-12-05 10:52:32	ga_ls8c_ard_3-0-0_106067_2015-12-05_final
2015-12-05 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-05_final
2015-12-05 10:53:20	ga_ls8c_ard_3-0-0_106069_2015-12-05_final
2015-12-07 10:42:33	ga_ls8c_ard_3-0-0_104073_2015-12-07_final
2015-12-07 10:42:57	ga_ls8c_ard_3-0-0_104074_2015-12-07_final
2015-12-07 10:43:21	ga_ls8c_ard_3-0-0_104075_2015-12-07_final
2015-12-07 10:43:45	ga_ls8c_ard_3-0-0_104076_2015-12-07_final
2015-12-07 10:44:09	ga_ls8c_ard_3-1-0_104077_2015-12-07_final
2015-12-07 10:44:33	ga_ls8c_ard_3-0-0_104078_2015-12-07_final
2015-12-07 10:44:57	ga_ls8c_ard_3-0-0_104079_2015-12-07_final
2015-12-21 10:52:32	ga_ls8c_ard_3-0-0_106067_2015-12-21_final
2015-12-21 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-21_final
2015-12-21 10:53:20	ga_ls8c_ard_3-0-0_106069_2015-12-21_final
2015-12-23 10:42:34	ga_ls8c_ard_3-0-0_104073_2015-12-23_final
2015-12-23 10:42:58	ga_ls8c_ard_3-0-0_104074_2015-12-23_final
2015-12-23 10:43:22	ga_ls8c_ard_3-0-0_104075_2015-12-23_final
2015-12-23 10:43:46	ga_ls8c_ard_3-0-0_104076_2015-12-23_final
2015-12-23 10:44:10	ga_ls8c_ard_3-1-0_104077_2015-12-23_final
2015-12-23 10:44:34	ga_ls8c_ard_3-0-0_104078_2015-12-23_final
2015-12-23 10:44:58	ga_ls8c_ard_3-0-0_104079_2015-12-23_final
2016-09-13 10:38:28	ga_ls8c_ard_3-0-0_103078_2016-09-13_final
2016-09-13 10:38:52	ga_ls8c_ard_3-0-0_103079_2016-09-13_final
2016-09-13 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-13_final
2016-09-13 10:39:40	ga_ls8c_ard_3-0-0_103081_2016-09-13_final
2016-09-13 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-13_final
2016-09-13 10:40:28	ga_ls8c_ard_3-0-0_103083_2016-09-13_final
2017-07-14 10:38:03	ga_ls8c_ard_3-0-0_103078_2017-07-14_final
2017-07-14 10:38:27	ga_ls8c_ard_3-0-0_103079_2017-07-14_final
2017-07-14 10:38:51	ga_ls8c_ard_3-0-0_103080_2017-07-14_final
2017-07-14 10:39:15	ga_ls8c_ard_3-0-0_103081_2017-07-14_final
2017-07-14 10:39:39	ga_ls8c_ard_3-0-0_103082_2017-07-14_final
2017-07-14 10:40:03	ga_ls8c_ard_3-0-0_103083_2017-07-14_final
2017-07-30 10:38:11	ga_ls8c_ard_3-0-0_103078_2017-07-30_final
2017-07-30 10:38:35	ga_ls8c_ard_3-0-0_103079_2017-07-30_final
2017-07-30 10:38:59	ga_ls8c_ard_3-0-0_103080_2017-07-30_final
2017-07-30 10:39:23	ga_ls8c_ard_3-0-0_103081_2017-07-30_final
2017-07-30 10:39:47	ga_ls8c_ard_3-0-0_103082_2017-07-30_final
2017-07-30 10:40:11	ga_ls8c_ard_3-0-0_103083_2017-07-30_final
2017-10-02 10:38:29	ga_ls8c_ard_3-0-0_103078_2017-10-02_final
2017-10-02 10:38:53	ga_ls8c_ard_3-0-0_103079_2017-10-02_final
2017-10-02 10:39:17	ga_ls8c_ard_3-0-0_103080_2017-10-02_final
2017-10-02 10:39:41	ga_ls8c_ard_3-0-0_103081_2017-10-02_final
2017-10-02 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-10-02_final
2017-10-02 10:40:28	ga_ls8c_ard_3-0-0_103083_2017-10-02_final
2019-04-20 10:51:49	ga_ls8c_ard_3-0-0_106067_2019-04-20_final
2019-04-20 10:52:13	ga_ls8c_ard_3-0-0_106068_2019-04-20_final
2019-04-20 10:52:37	ga_ls8c_ard_3-0-0_106069_2019-04-20_final
2019-04-22 10:41:50	ga_ls8c_ard_3-0-0_104073_2019-04-22_final
2019-04-22 10:42:14	ga_ls8c_ard_3-0-0_104074_2019-04-22_final
2019-04-22 10:42:38	ga_ls8c_ard_3-0-0_104075_2019-04-22_final
2019-04-22 10:43:02	ga_ls8c_ard_3-0-0_104076_2019-04-22_final
2019-04-22 10:43:26	ga_ls8c_ard_3-1-0_104077_2019-04-22_final
2019-04-22 10:43:50	ga_ls8c_ard_3-0-0_104078_2019-04-22_final
2019-04-22 10:44:14	ga_ls8c_ard_3-0-0_104079_2019-04-22_final
2019-06-25 10:42:18	ga_ls8c_ard_3-1-0_104073_2019-06-25_final
2019-06-25 10:42:42	ga_ls8c_ard_3-1-0_104074_2019-06-25_final
2019-06-25 10:43:06	ga_ls8c_ard_3-1-0_104075_2019-06-25_final
2019-06-25 10:43:30	ga_ls8c_ard_3-1-0_104076_2019-06-25_final
2019-06-25 10:43:54	ga_ls8c_ard_3-1-0_104077_2019-06-25_final
2019-09-27 10:52:44	ga_ls8c_ard_3-1-0_106067_2019-09-27_final
2019-09-27 10:53:08	ga_ls8c_ard_3-1-0_106068_2019-09-27_final
2019-09-27 10:53:32	ga_ls8c_ard_3-1-0_106069_2019-09-27_final
2019-09-29 10:42:46	ga_ls8c_ard_3-1-0_104073_2019-09-29_final
2019-09-29 10:43:10	ga_ls8c_ard_3-1-0_104074_2019-09-29_final
2019-09-29 10:43:34	ga_ls8c_ard_3-1-0_104075_2019-09-29_final
2019-09-29 10:43:58	ga_ls8c_ard_3-1-0_104076_2019-09-29_final
2019-09-29 10:44:22	ga_ls8c_ard_3-1-0_104077_2019-09-29_final
2019-09-29 10:44:46	ga_ls8c_ard_3-1-0_104078_2019-09-29_final
2019-09-29 10:45:10	ga_ls8c_ard_3-1-0_104079_2019-09-29_final
2020-04-15 10:46:37	ga_ls8c_ard_3-1-0_105069_2020-04-15_final
2020-04-15 10:47:00	ga_ls8c_ard_3-1-0_105070_2020-04-15_final
2020-04-15 10:47:24	ga_ls8c_ard_3-1-0_105071_2020-04-15_final
2020-04-15 10:47:48	ga_ls8c_ard_3-1-0_105072_2020-04-15_final
2020-04-15 10:48:12	ga_ls8c_ard_3-1-0_105073_2020-04-15_final
2020-04-15 10:48:36	ga_ls8c_ard_3-1-0_105074_2020-04-15_final
2020-04-17 10:37:49	ga_ls8c_ard_3-1-0_103078_2020-04-17_final
2020-04-17 10:38:13	ga_ls8c_ard_3-1-0_103079_2020-04-17_final
2020-04-17 10:38:37	ga_ls8c_ard_3-1-0_103080_2020-04-17_final
2020-04-17 10:39:01	ga_ls8c_ard_3-1-0_103081_2020-04-17_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-04-17 10:39:49	ga_ls8c_ard_3-1-0_103083_2020-04-17_final
2020-06-09 10:51:59	ga_ls8c_ard_3-1-0_106067_2020-06-09_final
2020-06-09 10:52:23	ga_ls8c_ard_3-1-0_106068_2020-06-09_final
2020-06-09 10:52:46	ga_ls8c_ard_3-1-0_106069_2020-06-09_final
2020-06-11 10:42:02	ga_ls8c_ard_3-1-0_104073_2020-06-11_final
2020-06-11 10:42:26	ga_ls8c_ard_3-1-0_104074_2020-06-11_final
2020-06-11 10:42:50	ga_ls8c_ard_3-1-0_104075_2020-06-11_final
2020-06-11 10:43:14	ga_ls8c_ard_3-1-0_104076_2020-06-11_final
2020-06-11 10:43:38	ga_ls8c_ard_3-1-0_104077_2020-06-11_final
2020-06-11 10:44:01	ga_ls8c_ard_3-1-0_104078_2020-06-11_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