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
2015-08-30 10:10:08	ga_ls8c_ard_3-0-0_099070_2015-08-30_final
2015-08-30 10:10:32	ga_ls8c_ard_3-0-0_099071_2015-08-30_final
2015-08-31 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-08-31_final
2015-08-31 10:53:48	ga_ls8c_ard_3-0-0_106071_2015-08-31_final
2015-09-01 09:57:46	ga_ls8c_ard_3-0-0_097070_2015-09-01_final
2015-09-01 09:58:10	ga_ls8c_ard_3-0-0_097071_2015-09-01_final
2015-09-02 10:41:02	ga_ls8c_ard_3-0-0_104070_2015-09-02_final
2015-09-02 10:41:26	ga_ls8c_ard_3-0-0_104071_2015-09-02_final
2015-12-04 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-04_final
2015-12-04 10:10:52	ga_ls8c_ard_3-0-0_099071_2015-12-04_final
2015-12-05 10:53:43	ga_ls8c_ard_3-0-0_106070_2015-12-05_final
2015-12-05 10:54:07	ga_ls8c_ard_3-0-0_106071_2015-12-05_final
2015-12-06 09:58:06	ga_ls8c_ard_3-0-0_097070_2015-12-06_final
2015-12-06 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-12-06_final
2015-12-07 10:41:21	ga_ls8c_ard_3-0-0_104070_2015-12-07_final
2015-12-07 10:41:45	ga_ls8c_ard_3-0-0_104071_2015-12-07_final
2015-12-20 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-20_final
2015-12-20 10:10:52	ga_ls8c_ard_3-0-0_099071_2015-12-20_final
2015-12-21 10:53:44	ga_ls8c_ard_3-0-0_106070_2015-12-21_final
2015-12-21 10:54:08	ga_ls8c_ard_3-0-0_106071_2015-12-21_final
2015-12-22 09:58:06	ga_ls8c_ard_3-0-0_097070_2015-12-22_final
2015-12-22 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-12-22_final
2015-12-23 10:41:22	ga_ls8c_ard_3-0-0_104070_2015-12-23_final
2015-12-23 10:41:46	ga_ls8c_ard_3-0-0_104071_2015-12-23_final
2016-08-13 09:39:52	ga_ls8c_ard_3-0-0_094071_2016-08-13_final
2016-08-13 11:18:21	ga_ls8c_ard_3-0-0_110070_2016-08-13_final
2016-08-13 11:18:45	ga_ls8c_ard_3-0-0_110071_2016-08-13_final
2016-08-14 10:22:44	ga_ls8c_ard_3-0-0_101070_2016-08-14_final
2016-08-14 10:23:08	ga_ls8c_ard_3-0-0_101071_2016-08-14_final
2016-08-15 09:27:31	ga_ls8c_ard_3-0-0_092071_2016-08-14_final
2016-08-15 11:06:01	ga_ls8c_ard_3-0-0_108070_2016-08-15_final
2016-08-15 11:06:25	ga_ls8c_ard_3-0-0_108071_2016-08-15_final
2016-09-09 10:59:59	ga_ls8c_ard_3-0-0_107070_2016-09-09_final
2016-09-09 11:00:23	ga_ls8c_ard_3-0-0_107071_2016-09-09_final
2016-09-12 09:52:01	ga_ls8c_ard_3-0-0_096070_2016-09-12_final
2016-09-12 09:52:25	ga_ls8c_ard_3-0-0_096071_2016-09-12_final
2016-09-12 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-12_final
2016-09-12 11:31:18	ga_ls8c_ard_3-0-0_112071_2016-09-12_final
2016-09-13 10:35:16	ga_ls8c_ard_3-0-0_103070_2016-09-13_final
2016-09-13 10:35:40	ga_ls8c_ard_3-0-0_103071_2016-09-13_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-09-14 11:18:32	ga_ls8c_ard_3-0-0_110070_2016-09-14_final
2016-09-14 11:18:56	ga_ls8c_ard_3-0-0_110071_2016-09-14_final
2016-09-15 10:22:55	ga_ls8c_ard_3-0-0_101070_2016-09-15_final
2016-09-15 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-09-15_final
2016-09-30 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-30_final
2016-09-30 11:18:32	ga_ls8c_ard_3-0-0_110070_2016-09-30_final
2016-09-30 11:18:56	ga_ls8c_ard_3-0-0_110071_2016-09-30_final
2016-10-01 10:22:55	ga_ls8c_ard_3-0-0_101070_2016-10-01_final
2016-10-01 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-10-01_final
2016-10-02 09:27:43	ga_ls8c_ard_3-0-0_092071_2016-10-01_final
2016-10-02 11:06:12	ga_ls8c_ard_3-0-0_108070_2016-10-02_final
2016-10-02 11:06:36	ga_ls8c_ard_3-0-0_108071_2016-10-02_final
2016-10-27 11:00:07	ga_ls8c_ard_3-0-0_107070_2016-10-27_final
2016-10-27 11:00:31	ga_ls8c_ard_3-0-0_107071_2016-10-27_final
2016-11-17 09:40:10	ga_ls8c_ard_3-0-0_094071_2016-11-17_final
2016-11-17 11:18:39	ga_ls8c_ard_3-0-0_110070_2016-11-17_final
2016-11-17 11:19:03	ga_ls8c_ard_3-0-0_110071_2016-11-17_final
2016-11-18 10:23:02	ga_ls8c_ard_3-0-0_101070_2016-11-18_final
2016-11-18 10:23:25	ga_ls8c_ard_3-0-0_101071_2016-11-18_final
2016-11-19 09:27:48	ga_ls8c_ard_3-0-0_092071_2016-11-18_final
2016-11-19 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-11-19_final
2016-11-19 11:06:41	ga_ls8c_ard_3-0-0_108071_2016-11-19_final
2017-07-29 09:51:44	ga_ls8c_ard_3-0-0_096070_2017-07-29_final
2017-07-29 09:52:08	ga_ls8c_ard_3-0-0_096071_2017-07-29_final
2017-07-29 11:30:37	ga_ls8c_ard_3-0-0_112070_2017-07-29_final
2017-07-29 11:31:01	ga_ls8c_ard_3-0-0_112071_2017-07-29_final
2017-07-30 10:35:00	ga_ls8c_ard_3-0-0_103070_2017-07-30_final
2017-07-30 10:35:24	ga_ls8c_ard_3-0-0_103071_2017-07-30_final
2017-07-31 09:39:47	ga_ls8c_ard_3-0-0_094071_2017-07-31_final
2017-07-31 11:18:16	ga_ls8c_ard_3-0-0_110070_2017-07-31_final
2017-07-31 11:18:40	ga_ls8c_ard_3-0-0_110071_2017-07-31_final
2017-08-01 10:22:39	ga_ls8c_ard_3-0-0_101070_2017-08-01_final
2017-08-01 10:23:03	ga_ls8c_ard_3-0-0_101071_2017-08-01_final
2019-03-10 10:59:24	ga_ls8c_ard_3-1-0_107070_2019-03-10_final
2019-03-10 10:59:48	ga_ls8c_ard_3-1-0_107071_2019-03-10_final
2019-04-11 10:59:15	ga_ls8c_ard_3-1-0_107070_2019-04-11_final
2019-04-11 10:59:39	ga_ls8c_ard_3-1-0_107071_2019-04-11_final
2019-04-20 10:53:01	ga_ls8c_ard_3-0-0_106070_2019-04-20_final
2019-04-20 10:53:25	ga_ls8c_ard_3-0-0_106071_2019-04-20_final
2019-04-21 09:57:23	ga_ls8c_ard_3-0-0_097070_2019-04-21_final
2019-04-21 09:57:47	ga_ls8c_ard_3-0-0_097071_2019-04-21_final
2019-04-21 11:36:40	ga_ls8c_ard_3-0-0_113071_2019-04-21_final
2019-04-22 10:40:38	ga_ls8c_ard_3-0-0_104070_2019-04-22_final
2019-04-22 10:41:02	ga_ls8c_ard_3-0-0_104071_2019-04-22_final
2020-04-13 10:59:23	ga_ls8c_ard_3-1-0_107070_2020-04-13_final
2020-04-13 10:59:47	ga_ls8c_ard_3-1-0_107071_2020-04-13_final
2020-04-14 10:03:45	ga_ls8c_ard_3-1-0_098070_2020-04-14_final
2020-04-14 10:04:09	ga_ls8c_ard_3-1-0_098071_2020-04-14_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
2020-04-16 09:51:23	ga_ls8c_ard_3-1-0_096070_2020-04-16_final
2020-04-16 09:51:47	ga_ls8c_ard_3-1-0_096071_2020-04-16_final
2020-04-16 11:30:40	ga_ls8c_ard_3-1-0_112071_2020-04-16_final
2020-04-17 10:35:02	ga_ls8c_ard_3-1-0_103071_2020-04-17_final
2020-06-09 10:53:10	ga_ls8c_ard_3-1-0_106070_2020-06-09_final
2020-06-09 10:53:34	ga_ls8c_ard_3-1-0_106071_2020-06-09_final
2020-06-10 09:57:34	ga_ls8c_ard_3-1-0_097070_2020-06-10_final
2020-06-10 09:57:58	ga_ls8c_ard_3-1-0_097071_2020-06-10_final
2020-06-11 10:40:50	ga_ls8c_ard_3-1-0_104070_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