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
2013-09-04 11:35:54	ga_ls8c_ard_3-0-0_112078_2013-09-04_final
2013-09-04 11:36:18	ga_ls8c_ard_3-0-0_112079_2013-09-04_final
2013-09-04 11:36:42	ga_ls8c_ard_3-0-0_112080_2013-09-04_final
2013-09-04 11:37:06	ga_ls8c_ard_3-0-0_112081_2013-09-04_final
2013-09-04 11:37:30	ga_ls8c_ard_3-0-0_112082_2013-09-04_final
2013-09-04 11:37:54	ga_ls8c_ard_3-0-0_112083_2013-09-04_final
2013-09-13 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-09-13_final
2013-09-13 11:31:40	ga_ls8c_ard_3-0-0_111083_2013-09-13_final
2013-09-13 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-09-13_final
2013-09-18 11:46:35	ga_ls8c_ard_3-0-0_114074_2013-09-18_final
2013-10-13 11:41:07	ga_ls8c_ard_3-0-0_113076_2013-10-13_final
2013-10-13 11:41:31	ga_ls8c_ard_3-0-0_113077_2013-10-13_final
2013-10-13 11:41:55	ga_ls8c_ard_3-0-0_113078_2013-10-13_final
2013-10-13 11:42:19	ga_ls8c_ard_3-0-0_113079_2013-10-13_final
2013-10-15 11:31:08	ga_ls8c_ard_3-0-0_111082_2013-10-15_final
2013-10-15 11:31:32	ga_ls8c_ard_3-0-0_111083_2013-10-15_final
2013-10-15 11:31:56	ga_ls8c_ard_3-0-0_111084_2013-10-15_final
2013-10-22 11:35:40	ga_ls8c_ard_3-0-0_112078_2013-10-22_final
2013-10-22 11:36:04	ga_ls8c_ard_3-0-0_112079_2013-10-22_final
2013-10-22 11:36:28	ga_ls8c_ard_3-0-0_112080_2013-10-22_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-10-22 11:37:15	ga_ls8c_ard_3-0-0_112082_2013-10-22_final
2013-10-22 11:37:39	ga_ls8c_ard_3-0-0_112083_2013-10-22_final
2013-10-29 11:40:09	ga_ls8c_ard_3-0-0_113074_2013-10-29_final
2013-10-29 11:40:33	ga_ls8c_ard_3-0-0_113075_2013-10-29_final
2013-10-29 11:40:57	ga_ls8c_ard_3-0-0_113076_2013-10-29_final
2013-10-29 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-10-29_final
2013-10-29 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-10-29_final
2013-10-29 11:42:09	ga_ls8c_ard_3-0-0_113079_2013-10-29_final
2013-11-30 11:40:04	ga_ls8c_ard_3-0-0_113074_2013-11-30_final
2013-11-30 11:40:28	ga_ls8c_ard_3-0-0_113075_2013-11-30_final
2013-11-30 11:40:52	ga_ls8c_ard_3-0-0_113076_2013-11-30_final
2013-11-30 11:41:16	ga_ls8c_ard_3-0-0_113077_2013-11-30_final
2013-11-30 11:41:40	ga_ls8c_ard_3-0-0_113078_2013-11-30_final
2013-11-30 11:42:04	ga_ls8c_ard_3-0-0_113079_2013-11-30_final
2013-12-02 11:30:54	ga_ls8c_ard_3-0-0_111082_2013-12-02_final
2013-12-02 11:31:18	ga_ls8c_ard_3-0-0_111083_2013-12-02_final
2013-12-02 11:31:42	ga_ls8c_ard_3-0-0_111084_2013-12-02_final
2013-12-23 11:46:05	ga_ls8c_ard_3-0-0_114074_2013-12-23_final
2014-01-19 11:30:25	ga_ls8c_ard_3-0-0_111082_2014-01-19_final
2014-01-19 11:30:49	ga_ls8c_ard_3-0-0_111083_2014-01-19_final
2014-01-19 11:31:13	ga_ls8c_ard_3-0-0_111084_2014-01-19_final
2014-11-08 11:44:51	ga_ls8c_ard_3-0-0_114074_2014-11-08_final
2016-05-07 11:33:27	ga_ls8c_ard_3-0-0_112078_2016-05-07_final
2016-05-07 11:33:51	ga_ls8c_ard_3-0-0_112079_2016-05-07_final
2016-05-07 11:34:15	ga_ls8c_ard_3-0-0_112080_2016-05-07_final
2016-05-07 11:34:39	ga_ls8c_ard_3-0-0_112081_2016-05-07_final
2016-05-07 11:35:03	ga_ls8c_ard_3-0-0_112082_2016-05-07_final
2016-05-07 11:35:27	ga_ls8c_ard_3-0-0_112083_2016-05-07_final
2016-05-09 11:23:52	ga_ls8c_ard_3-0-0_110085_2016-05-09_final
2016-05-23 11:33:28	ga_ls8c_ard_3-0-0_112078_2016-05-23_final
2016-05-23 11:33:52	ga_ls8c_ard_3-0-0_112079_2016-05-23_final
2016-05-23 11:34:16	ga_ls8c_ard_3-0-0_112080_2016-05-23_final
2016-05-23 11:34:40	ga_ls8c_ard_3-0-0_112081_2016-05-23_final
2016-05-23 11:35:04	ga_ls8c_ard_3-0-0_112082_2016-05-23_final
2016-05-23 11:35:28	ga_ls8c_ard_3-0-0_112083_2016-05-23_final
2017-10-26 11:29:35	ga_ls8c_ard_3-0-0_111082_2017-10-26_final
2017-10-26 11:29:59	ga_ls8c_ard_3-0-0_111083_2017-10-26_final
2017-10-26 11:30:23	ga_ls8c_ard_3-0-0_111084_2017-10-26_final
2017-10-26 11:30:47	ga_ls8c_ard_3-0-0_111085_2017-10-26_final
2017-11-02 11:34:09	ga_ls8c_ard_3-0-0_112078_2017-11-02_final
2017-11-02 11:34:33	ga_ls8c_ard_3-0-0_112079_2017-11-02_final
2017-11-02 11:34:57	ga_ls8c_ard_3-0-0_112080_2017-11-02_final
2017-11-02 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-11-02_final
2017-11-02 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-11-02_final
2017-11-02 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-11-02_final
2017-12-20 11:34:03	ga_ls8c_ard_3-0-0_112078_2017-12-20_final
2017-12-20 11:34:27	ga_ls8c_ard_3-0-0_112079_2017-12-20_final
2017-12-20 11:34:51	ga_ls8c_ard_3-0-0_112080_2017-12-20_final
2017-12-20 11:35:15	ga_ls8c_ard_3-0-0_112081_2017-12-20_final
2017-12-20 11:35:39	ga_ls8c_ard_3-0-0_112082_2017-12-20_final
2017-12-20 11:36:03	ga_ls8c_ard_3-0-0_112083_2017-12-20_final
2017-12-29 11:29:27	ga_ls8c_ard_3-0-0_111082_2017-12-29_final
2017-12-29 11:29:51	ga_ls8c_ard_3-0-0_111083_2017-12-29_final
2017-12-29 11:30:15	ga_ls8c_ard_3-0-0_111084_2017-12-29_final
2017-12-29 11:30:39	ga_ls8c_ard_3-0-0_111085_2017-12-29_final
2018-01-14 11:29:20	ga_ls8c_ard_3-0-0_111082_2018-01-14_final
2018-01-14 11:29:44	ga_ls8c_ard_3-0-0_111083_2018-01-14_final
2018-01-14 11:30:08	ga_ls8c_ard_3-0-0_111084_2018-01-14_final
2018-01-14 11:30:32	ga_ls8c_ard_3-0-0_111085_2018-01-14_final
2020-10-07 11:44:57	ga_ls8c_ard_3-1-0_114074_2020-10-07_final
2020-10-23 11:44:58	ga_ls8c_ard_3-1-0_114074_2020-10-23_final
2020-11-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2020-11-01_final
2020-11-01 11:39:10	ga_ls8c_ard_3-1-0_113075_2020-11-01_final
2020-11-01 11:39:34	ga_ls8c_ard_3-1-0_113076_2020-11-01_final
2020-11-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2020-11-01_final
2020-11-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2020-11-01_final
2020-11-01 11:40:45	ga_ls8c_ard_3-1-0_113079_2020-11-01_final
2020-12-03 11:38:48	ga_ls8c_ard_3-1-0_113074_2020-12-03_final
2020-12-03 11:39:12	ga_ls8c_ard_3-1-0_113075_2020-12-03_final
2020-12-03 11:39:36	ga_ls8c_ard_3-1-0_113076_2020-12-03_final
2020-12-03 11:40:00	ga_ls8c_ard_3-1-0_113077_2020-12-03_final
2020-12-03 11:40:24	ga_ls8c_ard_3-1-0_113078_2020-12-03_final
2020-12-03 11:40:48	ga_ls8c_ard_3-1-0_113079_2020-12-03_final
2020-12-10 11:44:59	ga_ls8c_ard_3-1-0_114074_2020-12-10_final
2022-11-23 11:38:59	ga_ls8c_ard_3-2-1_113074_2022-11-23_final
2022-11-23 11:39:23	ga_ls8c_ard_3-2-1_113075_2022-11-23_final
2022-11-23 11:39:47	ga_ls8c_ard_3-2-1_113076_2022-11-23_final
2022-11-23 11:40:11	ga_ls8c_ard_3-2-1_113077_2022-11-23_final
2022-11-23 11:40:35	ga_ls8c_ard_3-2-1_113078_2022-11-23_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