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
2013-04-26 11:02:19	ga_ls8c_ard_3-0-0_107072_2013-04-26_final
2013-04-26 11:02:43	ga_ls8c_ard_3-0-0_107073_2013-04-26_final
2013-04-26 11:03:07	ga_ls8c_ard_3-0-0_107074_2013-04-26_final
2013-04-26 11:03:31	ga_ls8c_ard_3-0-0_107075_2013-04-26_final
2013-04-26 11:03:55	ga_ls8c_ard_3-0-0_107076_2013-04-26_final
2013-04-26 11:04:19	ga_ls8c_ard_3-0-0_107077_2013-04-26_final
2013-06-13 11:02:10	ga_ls8c_ard_3-0-0_107071_2013-06-13_final
2013-06-13 11:02:33	ga_ls8c_ard_3-0-0_107072_2013-06-13_final
2013-06-13 11:02:57	ga_ls8c_ard_3-0-0_107073_2013-06-13_final
2013-06-13 11:03:21	ga_ls8c_ard_3-0-0_107074_2013-06-13_final
2013-06-13 11:03:45	ga_ls8c_ard_3-0-0_107075_2013-06-13_final
2013-06-13 11:04:09	ga_ls8c_ard_3-0-0_107076_2013-06-13_final
2013-06-13 11:04:33	ga_ls8c_ard_3-0-0_107077_2013-06-13_final
2015-10-16 11:04:45	ga_ls8c_ard_3-0-0_108067_2015-10-16_final
2015-10-16 11:05:09	ga_ls8c_ard_3-0-0_108068_2015-10-16_final
2015-10-16 11:05:33	ga_ls8c_ard_3-0-0_108069_2015-10-16_final
2015-10-16 11:05:57	ga_ls8c_ard_3-0-0_108070_2015-10-16_final
2015-10-16 11:06:21	ga_ls8c_ard_3-0-0_108071_2015-10-16_final
2015-10-16 11:06:45	ga_ls8c_ard_3-0-0_108072_2015-10-16_final
2015-11-28 10:51:33	ga_ls8c_ard_3-0-0_105080_2015-11-28_final
2015-11-28 10:51:57	ga_ls8c_ard_3-0-0_105081_2015-11-28_final
2015-11-28 10:52:21	ga_ls8c_ard_3-0-0_105082_2015-11-28_final
2015-11-28 10:52:45	ga_ls8c_ard_3-0-0_105083_2015-11-28_final
2015-12-05 10:56:07	ga_ls8c_ard_3-0-0_106076_2015-12-05_final
2015-12-05 10:56:31	ga_ls8c_ard_3-0-0_106077_2015-12-05_final
2015-12-05 10:56:55	ga_ls8c_ard_3-0-0_106078_2015-12-05_final
2015-12-05 10:57:19	ga_ls8c_ard_3-0-0_106079_2015-12-05_final
2015-12-05 10:57:43	ga_ls8c_ard_3-0-0_106080_2015-12-05_final
2015-12-05 10:58:07	ga_ls8c_ard_3-0-0_106081_2015-12-05_final
2017-11-08 10:56:16	ga_ls8c_ard_3-0-0_106076_2017-11-08_final
2017-11-08 10:56:40	ga_ls8c_ard_3-0-0_106077_2017-11-08_final
2017-11-08 10:57:03	ga_ls8c_ard_3-0-0_106078_2017-11-08_final
2017-11-08 10:57:27	ga_ls8c_ard_3-0-0_106079_2017-11-08_final
2017-11-08 10:57:51	ga_ls8c_ard_3-0-0_106080_2017-11-08_final
2017-11-08 10:58:15	ga_ls8c_ard_3-0-0_106081_2017-11-08_final
2017-12-24 11:04:57	ga_ls8c_ard_3-0-0_108067_2017-12-24_final
2017-12-24 11:05:21	ga_ls8c_ard_3-0-0_108068_2017-12-24_final
2017-12-24 11:05:44	ga_ls8c_ard_3-0-0_108069_2017-12-24_final
2017-12-24 11:06:08	ga_ls8c_ard_3-0-0_108070_2017-12-24_final
2017-12-24 11:06:32	ga_ls8c_ard_3-0-0_108071_2017-12-24_final
2017-12-24 11:06:56	ga_ls8c_ard_3-0-0_108072_2017-12-24_final
2017-12-26 10:56:10	ga_ls8c_ard_3-0-0_106076_2017-12-26_final
2017-12-26 10:56:34	ga_ls8c_ard_3-0-0_106077_2017-12-26_final
2017-12-26 10:56:58	ga_ls8c_ard_3-0-0_106078_2017-12-26_final
2017-12-26 10:57:22	ga_ls8c_ard_3-0-0_106079_2017-12-26_final
2017-12-26 10:57:46	ga_ls8c_ard_3-0-0_106080_2017-12-26_final
2017-12-26 10:58:10	ga_ls8c_ard_3-0-0_106081_2017-12-26_final
2018-09-17 10:51:02	ga_ls8c_ard_3-0-0_105080_2018-09-17_final
2018-09-17 10:51:26	ga_ls8c_ard_3-0-0_105081_2018-09-17_final
2018-09-17 10:51:49	ga_ls8c_ard_3-0-0_105082_2018-09-17_final
2018-09-17 10:52:13	ga_ls8c_ard_3-0-0_105083_2018-09-17_final
2019-01-07 10:51:16	ga_ls8c_ard_3-0-0_105080_2019-01-07_final
2019-01-07 10:51:39	ga_ls8c_ard_3-0-0_105081_2019-01-07_final
2019-01-07 10:52:03	ga_ls8c_ard_3-0-0_105082_2019-01-07_final
2019-01-07 10:52:27	ga_ls8c_ard_3-0-0_105083_2019-01-07_final
2021-05-02 10:59:42	ga_ls8c_ard_3-2-0_107071_2021-05-02_final
2021-05-02 11:00:06	ga_ls8c_ard_3-2-0_107072_2021-05-02_final
2021-05-02 11:00:30	ga_ls8c_ard_3-2-0_107073_2021-05-02_final
2021-05-02 11:00:54	ga_ls8c_ard_3-2-0_107074_2021-05-02_final
2021-05-02 11:01:18	ga_ls8c_ard_3-2-0_107075_2021-05-02_final
2021-05-02 11:01:42	ga_ls8c_ard_3-2-0_107076_2021-05-02_final
2021-05-02 11:02:06	ga_ls8c_ard_3-2-0_107077_2021-05-02_final
2021-05-04 10:50:54	ga_ls8c_ard_3-2-0_105080_2021-05-04_final
2021-05-04 10:51:18	ga_ls8c_ard_3-2-0_105081_2021-05-04_final
2021-05-04 10:51:42	ga_ls8c_ard_3-2-0_105082_2021-05-04_final
2021-05-04 10:52:06	ga_ls8c_ard_3-2-0_105083_2021-05-04_final
2021-05-25 11:04:26	ga_ls8c_ard_3-2-0_108067_2021-05-25_final
2021-05-25 11:04:50	ga_ls8c_ard_3-2-0_108068_2021-05-25_final
2021-05-25 11:05:14	ga_ls8c_ard_3-2-0_108069_2021-05-25_final
2021-05-25 11:05:38	ga_ls8c_ard_3-2-0_108070_2021-05-25_final
2021-05-25 11:06:02	ga_ls8c_ard_3-2-0_108071_2021-05-25_final
2021-05-25 11:06:26	ga_ls8c_ard_3-2-0_108072_2021-05-25_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-05-27 10:56:05	ga_ls8c_ard_3-2-0_106077_2021-05-27_final
2021-05-27 10:56:29	ga_ls8c_ard_3-2-0_106078_2021-05-27_final
2021-05-27 10:56:53	ga_ls8c_ard_3-2-0_106079_2021-05-27_final
2021-05-27 10:57:17	ga_ls8c_ard_3-2-0_106080_2021-05-27_final
2021-05-27 10:57:41	ga_ls8c_ard_3-2-0_106081_2021-05-27_final
2021-09-23 11:00:28	ga_ls8c_ard_3-2-0_107071_2021-09-23_final
2021-09-23 11:00:52	ga_ls8c_ard_3-2-0_107072_2021-09-23_final
2021-09-23 11:01:16	ga_ls8c_ard_3-2-0_107073_2021-09-23_final
2021-09-23 11:01:40	ga_ls8c_ard_3-2-0_107074_2021-09-23_final
2021-09-23 11:02:04	ga_ls8c_ard_3-2-0_107075_2021-09-23_final
2021-09-23 11:02:28	ga_ls8c_ard_3-2-0_107076_2021-09-23_final
2021-09-23 11:02:52	ga_ls8c_ard_3-2-0_107077_2021-09-23_final
2021-09-25 10:51:43	ga_ls8c_ard_3-2-0_105080_2021-09-25_final
2021-09-25 10:52:07	ga_ls8c_ard_3-2-0_105081_2021-09-25_final
2021-09-25 10:52:31	ga_ls8c_ard_3-2-0_105082_2021-09-25_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2022-03-18 11:02:28	ga_ls8c_ard_3-2-1_107077_2022-03-18_final
2022-05-05 11:00:00	ga_ls8c_ard_3-2-1_107071_2022-05-05_final
2022-05-05 11:00:24	ga_ls8c_ard_3-2-1_107072_2022-05-05_final
2022-05-05 11:00:48	ga_ls8c_ard_3-2-1_107073_2022-05-05_final
2022-05-05 11:01:12	ga_ls8c_ard_3-2-1_107074_2022-05-05_final
2022-05-05 11:01:36	ga_ls8c_ard_3-2-1_107075_2022-05-05_final
2022-05-05 11:02:00	ga_ls8c_ard_3-2-1_107076_2022-05-05_final
2022-05-05 11:02:24	ga_ls8c_ard_3-2-1_107077_2022-05-05_final
2022-05-07 10:51:15	ga_ls8c_ard_3-2-1_105080_2022-05-07_final
2022-05-07 10:51:39	ga_ls8c_ard_3-2-1_105081_2022-05-07_final
2022-05-07 10:52:03	ga_ls8c_ard_3-2-1_105082_2022-05-07_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