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
2014-08-25 10:23:34	ga_ls8c_ard_3-1-0_101072_2014-08-25_final
2015-06-23 10:37:57	ga_ls8c_ard_3-1-0_103079_2015-06-23_final
2015-07-27 10:23:05	ga_ls8c_ard_3-1-0_101072_2015-07-27_final
2016-01-17 10:38:43	ga_ls8c_ard_3-1-0_103079_2016-01-17_final
2016-06-25 10:38:26	ga_ls8c_ard_3-1-0_103079_2016-06-25_final
2016-07-29 10:23:30	ga_ls8c_ard_3-1-0_101072_2016-07-29_final
2017-04-11 10:22:59	ga_ls8c_ard_3-1-0_101072_2017-04-11_final
2017-12-23 10:23:41	ga_ls8c_ard_3-1-0_101072_2017-12-23_final
2018-04-14 10:22:49	ga_ls8c_ard_3-1-0_101072_2018-04-14_final
2019-03-13 11:31:52	ga_ls8c_ard_3-1-0_112074_2019-03-13_final
2019-03-15 09:41:49	ga_ls8c_ard_3-1-0_094077_2019-03-15_final
2019-03-15 11:20:18	ga_ls8c_ard_3-1-0_110076_2019-03-15_final
2019-03-16 10:25:28	ga_ls8c_ard_3-1-0_101078_2019-03-16_final
2019-03-18 11:50:24	ga_ls8c_ard_3-1-0_115074_2019-03-18_final
2019-03-20 11:35:14	ga_ls8c_ard_3-1-0_113067_2019-03-20_final
2019-03-22 09:50:46	ga_ls8c_ard_3-1-0_095084_2019-03-22_final
2019-03-31 09:41:46	ga_ls8c_ard_3-1-0_094077_2019-03-31_final
2019-04-06 10:45:56	ga_ls8c_ard_3-1-0_104083_2019-04-06_final
2019-04-07 11:26:24	ga_ls8c_ard_3-1-0_111076_2019-04-07_final
2019-04-09 11:12:02	ga_ls8c_ard_3-1-0_109071_2019-04-09_final
2019-04-09 11:16:01	ga_ls8c_ard_3-1-0_109081_2019-04-09_final
2019-04-12 11:46:30	ga_ls8c_ard_3-1-0_114080_2019-04-12_final
2019-04-13 10:50:52	ga_ls8c_ard_3-1-0_105080_2019-04-13_final
2019-04-15 10:39:42	ga_ls8c_ard_3-1-0_103083_2019-04-15_final
2019-04-16 09:42:52	ga_ls8c_ard_3-1-0_094080_2019-04-16_final
2019-04-16 11:20:57	ga_ls8c_ard_3-1-0_110078_2019-04-16_final
2019-06-14 10:59:59	ga_ls8c_ard_3-1-0_107071_2019-06-14_final
2019-06-18 10:34:53	ga_ls8c_ard_3-1-0_103070_2019-06-18_final
2019-06-19 09:42:04	ga_ls8c_ard_3-1-0_094077_2019-06-19_final
2019-06-20 10:25:44	ga_ls8c_ard_3-1-0_101078_2019-06-20_final
2019-06-27 10:28:21	ga_ls8c_ard_3-1-0_102069_2019-06-27_final
2019-06-28 11:18:00	ga_ls8c_ard_3-1-0_109085_2019-06-28_final
2019-06-29 11:57:41	ga_ls8c_ard_3-1-0_116076_2019-06-29_final
2019-07-06 10:25:48	ga_ls8c_ard_3-1-0_101078_2019-07-06_final
2019-07-08 11:51:56	ga_ls8c_ard_3-1-0_115077_2019-07-08_final
2019-07-17 11:46:58	ga_ls8c_ard_3-1-0_114080_2019-07-17_final
2019-07-20 10:36:36	ga_ls8c_ard_3-1-0_103074_2019-07-20_final
2019-08-05 10:35:07	ga_ls8c_ard_3-1-0_103070_2019-08-05_final
2019-08-09 11:50:54	ga_ls8c_ard_3-1-0_115074_2019-08-09_final
2019-08-21 10:40:24	ga_ls8c_ard_3-1-0_103083_2019-08-21_final
2019-08-22 11:20:28	ga_ls8c_ard_3-1-0_110075_2019-08-22_final
2019-08-23 10:26:03	ga_ls8c_ard_3-1-0_101078_2019-08-23_final
2019-08-28 10:40:13	ga_ls8c_ard_3-1-0_104067_2019-08-28_final
2019-08-29 11:27:04	ga_ls8c_ard_3-1-0_111076_2019-08-29_final
2019-09-01 11:57:59	ga_ls8c_ard_3-1-0_116076_2019-09-01_final
2019-09-06 10:38:51	ga_ls8c_ard_3-1-0_103079_2019-09-06_final
2019-09-06 10:40:27	ga_ls8c_ard_3-1-0_103083_2019-09-06_final
2019-09-07 11:21:43	ga_ls8c_ard_3-1-0_110078_2019-09-07_final
2019-09-09 11:08:11	ga_ls8c_ard_3-1-0_108075_2019-09-09_final
2019-09-09 11:09:22	ga_ls8c_ard_3-1-0_108078_2019-09-09_final
2019-09-14 11:23:58	ga_ls8c_ard_3-1-0_111068_2019-09-14_final
2019-09-15 10:28:45	ga_ls8c_ard_3-1-0_102069_2019-09-15_final
2019-09-22 10:35:22	ga_ls8c_ard_3-1-0_103070_2019-09-22_final
2019-09-24 10:27:48	ga_ls8c_ard_3-1-0_101082_2019-09-24_final
2019-09-29 09:07:29	ga_ls8c_ard_3-1-0_088082_2019-09-28_final
2019-09-30 11:24:03	ga_ls8c_ard_3-1-0_111068_2019-09-30_final
2019-10-05 11:47:23	ga_ls8c_ard_3-1-0_114080_2019-10-05_final
2019-10-14 11:41:14	ga_ls8c_ard_3-1-0_113080_2019-10-14_final
2019-10-26 10:26:16	ga_ls8c_ard_3-1-0_101078_2019-10-26_final
2019-10-30 11:36:03	ga_ls8c_ard_3-1-0_113067_2019-10-30_final
2019-10-31 10:43:13	ga_ls8c_ard_3-1-0_104074_2019-10-31_final
2019-10-31 10:46:48	ga_ls8c_ard_3-1-0_104083_2019-10-31_final
2019-11-02 10:32:03	ga_ls8c_ard_3-1-0_102077_2019-11-02_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-11-17 11:29:13	ga_ls8c_ard_3-1-0_111081_2019-11-17_final
2019-11-18 10:28:48	ga_ls8c_ard_3-1-0_102069_2019-11-18_final
2019-11-19 11:12:51	ga_ls8c_ard_3-1-0_109071_2019-11-19_final
2019-11-24 11:32:35	ga_ls8c_ard_3-1-0_112074_2019-11-24_final
2019-11-25 10:40:33	ga_ls8c_ard_3-1-0_103083_2019-11-25_final
2019-12-04 10:33:10	ga_ls8c_ard_3-1-0_102080_2019-12-04_final
2019-12-08 11:47:20	ga_ls8c_ard_3-1-0_114080_2019-12-08_final
2019-12-28 11:21:45	ga_ls8c_ard_3-1-0_110078_2019-12-28_final
2020-01-04 09:51:24	ga_ls8c_ard_3-1-0_095084_2020-01-04_final
2020-01-05 10:28:40	ga_ls8c_ard_3-1-0_102069_2020-01-05_final
2020-01-05 10:33:04	ga_ls8c_ard_3-1-0_102080_2020-01-05_final
2020-01-20 11:23:51	ga_ls8c_ard_3-1-0_111068_2020-01-20_final
2020-01-21 10:33:00	ga_ls8c_ard_3-1-0_102080_2020-01-21_final
2020-01-30 10:25:59	ga_ls8c_ard_3-1-0_101078_2020-01-30_final
2020-02-03 11:40:55	ga_ls8c_ard_3-1-0_113080_2020-02-03_final
2020-02-04 10:42:53	ga_ls8c_ard_3-1-0_104074_2020-02-04_final
2020-02-04 10:46:29	ga_ls8c_ard_3-1-0_104083_2020-02-04_final
2020-02-17 11:50:50	ga_ls8c_ard_3-1-0_115074_2020-02-17_final
2020-02-21 11:23:42	ga_ls8c_ard_3-1-0_111068_2020-02-21_final
2020-02-21 11:26:53	ga_ls8c_ard_3-1-0_111076_2020-02-21_final
2020-02-22 10:31:40	ga_ls8c_ard_3-1-0_102077_2020-02-22_final
2020-03-01 11:20:16	ga_ls8c_ard_3-1-0_110075_2020-03-01_final
2020-03-02 10:27:26	ga_ls8c_ard_3-1-0_101082_2020-03-02_final
2020-03-10 11:12:26	ga_ls8c_ard_3-1-0_109071_2020-03-10_final
2020-03-16 10:34:54	ga_ls8c_ard_3-1-0_103070_2020-03-16_final
2020-03-18 10:24:31	ga_ls8c_ard_3-1-0_101075_2020-03-18_final
2020-03-18 10:25:43	ga_ls8c_ard_3-1-0_101078_2020-03-18_final
2020-03-25 10:31:26	ga_ls8c_ard_3-1-0_102077_2020-03-25_final
2020-04-02 09:41:54	ga_ls8c_ard_3-1-0_094077_2020-04-02_final
2020-04-02 11:21:11	ga_ls8c_ard_3-1-0_110078_2020-04-02_final
2020-04-02 11:22:47	ga_ls8c_ard_3-1-0_110082_2020-04-02_final
2020-04-08 09:06:47	ga_ls8c_ard_3-1-0_088082_2020-04-07_final
2020-04-10 10:32:29	ga_ls8c_ard_3-1-0_102080_2020-04-10_final
2020-04-11 11:16:09	ga_ls8c_ard_3-1-0_109081_2020-04-11_final
2020-04-18 11:18:41	ga_ls8c_ard_3-1-0_110072_2020-04-18_final
2020-04-25 11:28:24	ga_ls8c_ard_3-1-0_111081_2020-04-25_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