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
2013-03-26 09:40:28	ga_ls8c_ard_3-0-0_093085_2013-03-26_final
2013-05-06 10:05:46	ga_ls8c_ard_3-0-0_097085_2013-05-06_final
2013-05-13 10:12:04	ga_ls8c_ard_3-0-0_098085_2013-05-13_final
2013-05-15 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-05-15_final
2013-06-18 09:47:21	ga_ls8c_ard_3-0-0_094085_2013-06-18_final
2013-06-20 09:34:58	ga_ls8c_ard_3-0-0_092085_2013-06-20_final
2013-06-22 09:22:36	ga_ls8c_ard_3-0-0_090085_2013-06-21_final
2013-10-08 09:47:18	ga_ls8c_ard_3-0-0_094085_2013-10-08_final
2013-10-10 09:34:56	ga_ls8c_ard_3-0-0_092085_2013-10-10_final
2013-10-12 09:22:34	ga_ls8c_ard_3-0-0_090085_2013-10-11_final
2015-12-03 09:33:12	ga_ls8c_ard_3-0-0_092085_2015-12-03_final
2015-12-03 11:12:05	ga_ls8c_ard_3-0-0_108085_2015-12-03_final
2015-12-04 10:16:27	ga_ls8c_ard_3-0-0_099085_2015-12-04_final
2015-12-05 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-04_final
2015-12-10 09:39:21	ga_ls8c_ard_3-0-0_093085_2015-12-10_final
2015-12-10 11:18:14	ga_ls8c_ard_3-0-0_109085_2015-12-10_final
2015-12-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-12-11_final
2015-12-12 09:26:59	ga_ls8c_ard_3-0-0_091085_2015-12-11_final
2015-12-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2015-12-12_final
2016-01-11 09:39:18	ga_ls8c_ard_3-0-0_093085_2016-01-11_final
2016-01-11 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-11_final
2016-01-12 10:22:34	ga_ls8c_ard_3-0-0_100085_2016-01-12_final
2016-01-13 09:26:57	ga_ls8c_ard_3-0-0_091085_2016-01-12_final
2016-01-13 11:05:50	ga_ls8c_ard_3-0-0_107085_2016-01-13_final
2016-01-22 09:20:47	ga_ls8c_ard_3-0-0_090085_2016-01-21_final
2016-01-29 09:26:56	ga_ls8c_ard_3-0-0_091085_2016-01-28_final
2016-01-29 11:05:49	ga_ls8c_ard_3-0-0_107085_2016-01-29_final
2016-04-16 09:38:49	ga_ls8c_ard_3-0-0_093085_2016-04-16_final
2016-04-16 11:17:42	ga_ls8c_ard_3-0-0_109085_2016-04-16_final
2016-04-17 10:22:04	ga_ls8c_ard_3-0-0_100085_2016-04-17_final
2016-04-18 09:26:26	ga_ls8c_ard_3-0-0_091085_2016-04-17_final
2016-04-18 11:05:19	ga_ls8c_ard_3-0-0_107085_2016-04-18_final
2016-04-19 10:09:41	ga_ls8c_ard_3-0-0_098085_2016-04-19_final
2016-04-20 09:14:03	ga_ls8c_ard_3-0-0_089085_2016-04-19_final
2016-04-21 09:57:19	ga_ls8c_ard_3-0-0_096085_2016-04-21_final
2016-04-21 11:36:12	ga_ls8c_ard_3-0-0_112085_2016-04-21_final
2016-05-02 09:38:51	ga_ls8c_ard_3-0-0_093085_2016-05-02_final
2016-05-02 11:17:44	ga_ls8c_ard_3-0-0_109085_2016-05-02_final
2016-05-03 10:22:08	ga_ls8c_ard_3-0-0_100085_2016-05-03_final
2016-05-04 09:26:30	ga_ls8c_ard_3-0-0_091085_2016-05-03_final
2016-05-04 11:05:23	ga_ls8c_ard_3-0-0_107085_2016-05-04_final
2016-05-05 10:09:45	ga_ls8c_ard_3-0-0_098085_2016-05-05_final
2016-05-06 09:14:07	ga_ls8c_ard_3-0-0_089085_2016-05-05_final
2016-05-07 09:57:22	ga_ls8c_ard_3-0-0_096085_2016-05-07_final
2016-05-07 11:36:15	ga_ls8c_ard_3-0-0_112085_2016-05-07_final
2016-05-11 09:32:12	ga_ls8c_ard_3-0-0_092084_2016-05-11_final
2016-05-11 09:32:36	ga_ls8c_ard_3-0-0_092085_2016-05-11_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
2016-05-12 10:15:27	ga_ls8c_ard_3-0-0_099084_2016-05-12_final
2016-05-12 10:15:51	ga_ls8c_ard_3-0-0_099085_2016-05-12_final
2016-05-13 09:20:13	ga_ls8c_ard_3-0-0_090085_2016-05-12_final
2017-09-01 09:45:31	ga_ls8c_ard_3-0-0_094085_2017-09-01_final
2017-09-03 09:33:10	ga_ls8c_ard_3-0-0_092085_2017-09-03_final
2017-09-03 11:12:03	ga_ls8c_ard_3-0-0_108085_2017-09-03_final
2017-09-11 10:22:36	ga_ls8c_ard_3-0-0_100085_2017-09-11_final
2017-09-12 09:26:59	ga_ls8c_ard_3-0-0_091085_2017-09-11_final
2017-09-12 11:05:52	ga_ls8c_ard_3-0-0_107085_2017-09-12_final
2017-10-03 09:45:39	ga_ls8c_ard_3-0-0_094085_2017-10-03_final
2017-10-03 11:24:32	ga_ls8c_ard_3-0-0_110085_2017-10-03_final
2017-10-04 10:28:31	ga_ls8c_ard_3-0-0_101084_2017-10-04_final
2017-10-05 09:33:18	ga_ls8c_ard_3-0-0_092085_2017-10-05_final
2017-10-05 11:12:11	ga_ls8c_ard_3-0-0_108085_2017-10-05_final
2017-10-08 10:04:13	ga_ls8c_ard_3-0-0_097085_2017-10-08_final
2017-10-10 09:51:52	ga_ls8c_ard_3-0-0_095085_2017-10-10_final
2017-10-10 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-10-10_final
2017-11-23 10:16:31	ga_ls8c_ard_3-0-0_099085_2017-11-23_final
2017-11-24 09:20:53	ga_ls8c_ard_3-0-0_090085_2017-11-23_final
2017-11-25 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-11-25_final
2017-12-25 10:16:30	ga_ls8c_ard_3-0-0_099085_2017-12-25_final
2017-12-26 09:20:52	ga_ls8c_ard_3-0-0_090085_2017-12-25_final
2017-12-27 10:04:08	ga_ls8c_ard_3-0-0_097085_2017-12-27_final
2018-03-12 09:45:01	ga_ls8c_ard_3-0-0_094085_2018-03-12_final
2018-03-12 11:23:54	ga_ls8c_ard_3-0-0_110085_2018-03-12_final
2018-03-14 09:32:38	ga_ls8c_ard_3-0-0_092085_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-05-17 09:32:03	ga_ls8c_ard_3-0-0_092085_2018-05-17_final
2018-05-17 11:10:55	ga_ls8c_ard_3-0-0_108085_2018-05-17_final
2020-01-04 09:51:48	ga_ls8c_ard_3-1-0_095085_2020-01-04_final
2020-01-04 11:30:41	ga_ls8c_ard_3-1-0_111085_2020-01-04_final
2020-01-13 09:45:36	ga_ls8c_ard_3-1-0_094085_2020-01-13_final
2020-01-13 11:24:29	ga_ls8c_ard_3-1-0_110085_2020-01-13_final
2020-02-05 09:51:39	ga_ls8c_ard_3-1-0_095085_2020-02-05_final
2020-02-05 11:30:32	ga_ls8c_ard_3-1-0_111085_2020-02-05_final
2020-02-17 10:16:20	ga_ls8c_ard_3-1-0_099085_2020-02-17_final
2020-02-18 09:20:43	ga_ls8c_ard_3-1-0_090085_2020-02-17_final
2020-03-04 10:16:15	ga_ls8c_ard_3-1-0_099085_2020-03-04_final
2020-03-05 09:20:37	ga_ls8c_ard_3-1-0_090085_2020-03-04_final
2020-03-10 09:39:08	ga_ls8c_ard_3-1-0_093085_2020-03-10_final
2020-03-10 11:18:01	ga_ls8c_ard_3-1-0_109085_2020-03-10_final
2020-03-11 10:22:23	ga_ls8c_ard_3-1-0_100085_2020-03-11_final
2020-03-12 09:26:45	ga_ls8c_ard_3-1-0_091085_2020-03-11_final
2020-03-12 11:05:38	ga_ls8c_ard_3-1-0_107085_2020-03-12_final
2020-03-13 10:10:00	ga_ls8c_ard_3-1-0_098085_2020-03-13_final
2020-03-17 09:45:15	ga_ls8c_ard_3-1-0_094085_2020-03-17_final
2020-04-25 09:51:07	ga_ls8c_ard_3-1-0_095085_2020-04-25_final
2020-04-25 11:30:00	ga_ls8c_ard_3-1-0_111085_2020-04-25_final
2020-05-07 10:15:43	ga_ls8c_ard_3-1-0_099085_2020-05-07_final
2020-05-08 09:20:05	ga_ls8c_ard_3-1-0_090085_2020-05-07_final
2020-05-20 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-20_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