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
2020-11-16 09:16:35	ga_ls8c_ard_3-1-0_090074_2020-11-15_final
2020-11-16 09:16:59	ga_ls8c_ard_3-1-0_090075_2020-11-15_final
2020-11-16 09:19:47	ga_ls8c_ard_3-1-0_090082_2020-11-15_final
2020-11-16 09:20:59	ga_ls8c_ard_3-1-0_090085_2020-11-15_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-16 09:22:35	ga_ls8c_ard_3-1-0_090089_2020-11-15_final
2020-11-16 10:52:41	ga_ls8c_ard_3-1-0_106067_2020-11-16_final
2020-11-16 10:53:53	ga_ls8c_ard_3-1-0_106070_2020-11-16_final
2020-11-16 10:55:28	ga_ls8c_ard_3-1-0_106074_2020-11-16_final
2020-11-16 10:57:04	ga_ls8c_ard_3-1-0_106078_2020-11-16_final
2020-11-17 09:57:52	ga_ls8c_ard_3-1-0_097069_2020-11-17_final
2020-11-18 10:40:20	ga_ls8c_ard_3-1-0_104067_2020-11-18_final
2020-11-18 10:41:32	ga_ls8c_ard_3-1-0_104070_2020-11-18_final
2020-11-18 10:42:20	ga_ls8c_ard_3-1-0_104072_2020-11-18_final
2020-11-18 10:43:55	ga_ls8c_ard_3-1-0_104076_2020-11-18_final
2020-11-18 10:45:31	ga_ls8c_ard_3-1-0_104080_2020-11-18_final
2020-11-18 10:46:19	ga_ls8c_ard_3-1-0_104082_2020-11-18_final
2020-11-18 10:46:43	ga_ls8c_ard_3-1-0_104083_2020-11-18_final
2020-11-19 09:44:43	ga_ls8c_ard_3-1-0_095067_2020-11-19_final
2020-11-19 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-11-19_final
2020-11-19 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-11-19_final
2020-11-19 09:46:42	ga_ls8c_ard_3-1-0_095072_2020-11-19_final
2020-11-19 09:47:30	ga_ls8c_ard_3-1-0_095074_2020-11-19_final
2020-11-19 09:48:18	ga_ls8c_ard_3-1-0_095076_2020-11-19_final
2020-11-19 09:49:06	ga_ls8c_ard_3-1-0_095078_2020-11-19_final
2020-11-19 09:50:18	ga_ls8c_ard_3-1-0_095081_2020-11-19_final
2020-11-19 09:50:42	ga_ls8c_ard_3-1-0_095082_2020-11-19_final
2020-11-19 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-11-19_final
2020-11-19 11:23:36	ga_ls8c_ard_3-1-0_111067_2020-11-19_final
2020-11-19 11:25:12	ga_ls8c_ard_3-1-0_111071_2020-11-19_final
2020-11-19 11:27:11	ga_ls8c_ard_3-1-0_111076_2020-11-19_final
2020-11-19 11:28:23	ga_ls8c_ard_3-1-0_111079_2020-11-19_final
2020-11-19 11:29:59	ga_ls8c_ard_3-1-0_111083_2020-11-19_final
2020-11-19 11:30:47	ga_ls8c_ard_3-1-0_111085_2020-11-19_final
2020-11-21 09:32:22	ga_ls8c_ard_3-1-0_093067_2020-11-21_final
2020-11-21 09:32:46	ga_ls8c_ard_3-1-0_093068_2020-11-21_final
2020-11-21 09:33:58	ga_ls8c_ard_3-1-0_093071_2020-11-21_final
2020-11-21 09:35:09	ga_ls8c_ard_3-1-0_093074_2020-11-21_final
2020-11-21 09:35:33	ga_ls8c_ard_3-1-0_093075_2020-11-21_final
2020-11-21 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-11-21_final
2020-11-21 09:37:57	ga_ls8c_ard_3-1-0_093081_2020-11-21_final
2020-11-21 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-11-21_final
2020-11-21 11:12:27	ga_ls8c_ard_3-1-0_109070_2020-11-21_final
2020-11-21 11:12:51	ga_ls8c_ard_3-1-0_109071_2020-11-21_final
2020-11-21 11:14:50	ga_ls8c_ard_3-1-0_109076_2020-11-21_final
2020-11-21 11:16:50	ga_ls8c_ard_3-1-0_109081_2020-11-21_final
2020-11-21 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-11-21_final
2020-11-21 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-11-21_final
2020-11-21 11:18:26	ga_ls8c_ard_3-1-0_109085_2020-11-21_final
2020-11-23 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-11-22_final
2020-11-23 09:24:00	ga_ls8c_ard_3-1-0_091077_2020-11-22_final
2020-11-23 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-11-22_final
2020-11-23 09:26:48	ga_ls8c_ard_3-1-0_091084_2020-11-22_final
2020-11-23 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-11-22_final
2020-11-23 10:58:54	ga_ls8c_ard_3-1-0_107067_2020-11-23_final
2020-11-23 11:00:06	ga_ls8c_ard_3-1-0_107070_2020-11-23_final
2020-11-23 11:00:29	ga_ls8c_ard_3-1-0_107071_2020-11-23_final
2020-11-23 11:00:53	ga_ls8c_ard_3-1-0_107072_2020-11-23_final
2020-11-23 11:01:17	ga_ls8c_ard_3-1-0_107073_2020-11-23_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2020-11-23 11:05:41	ga_ls8c_ard_3-1-0_107084_2020-11-23_final
2020-11-25 09:10:51	ga_ls8c_ard_3-1-0_089075_2020-11-24_final
2020-11-25 09:11:15	ga_ls8c_ard_3-1-0_089076_2020-11-24_final
2020-11-25 09:11:39	ga_ls8c_ard_3-1-0_089077_2020-11-24_final
2020-11-25 09:13:15	ga_ls8c_ard_3-1-0_089081_2020-11-24_final
2020-11-25 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-11-24_final
2020-11-25 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-11-24_final
2020-11-25 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-11-24_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-25 10:47:44	ga_ls8c_ard_3-1-0_105070_2020-11-25_final
2020-11-25 10:50:08	ga_ls8c_ard_3-1-0_105076_2020-11-25_final
2020-11-25 10:50:56	ga_ls8c_ard_3-1-0_105078_2020-11-25_final
2020-11-26 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-11-26_final
2020-11-26 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-11-26_final
2020-11-26 11:30:12	ga_ls8c_ard_3-1-0_112068_2020-11-26_final
2020-11-26 11:30:36	ga_ls8c_ard_3-1-0_112069_2020-11-26_final
2020-11-26 11:31:24	ga_ls8c_ard_3-1-0_112071_2020-11-26_final
2020-11-26 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-11-26_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2020-11-26 11:33:48	ga_ls8c_ard_3-1-0_112077_2020-11-26_final
2020-11-26 11:34:12	ga_ls8c_ard_3-1-0_112078_2020-11-26_final
2020-11-27 10:36:59	ga_ls8c_ard_3-1-0_103074_2020-11-27_final
2020-11-27 10:38:35	ga_ls8c_ard_3-1-0_103078_2020-11-27_final
2020-11-27 10:39:23	ga_ls8c_ard_3-1-0_103080_2020-11-27_final
2020-11-27 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-11-27_final
2020-11-28 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-11-28_final
2020-11-28 09:40:34	ga_ls8c_ard_3-1-0_094072_2020-11-28_final
2020-11-28 09:42:34	ga_ls8c_ard_3-1-0_094077_2020-11-28_final
2020-11-28 09:45:21	ga_ls8c_ard_3-1-0_094084_2020-11-28_final
2020-11-28 11:19:27	ga_ls8c_ard_3-1-0_110072_2020-11-28_final
2020-11-28 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-11-28_final
2020-11-28 11:21:27	ga_ls8c_ard_3-1-0_110077_2020-11-28_final
2020-11-28 11:23:26	ga_ls8c_ard_3-1-0_110082_2020-11-28_final
2020-11-28 11:24:14	ga_ls8c_ard_3-1-0_110084_2020-11-28_final
2020-12-13 10:34:36	ga_ls8c_ard_3-1-0_103068_2020-12-13_final
2020-12-13 10:35:00	ga_ls8c_ard_3-1-0_103069_2020-12-13_final
2020-12-13 10:37:00	ga_ls8c_ard_3-1-0_103074_2020-12-13_final
2020-12-13 10:38:11	ga_ls8c_ard_3-1-0_103077_2020-12-13_final
2020-12-13 10:38:35	ga_ls8c_ard_3-1-0_103078_2020-12-13_final
2020-12-13 10:39:23	ga_ls8c_ard_3-1-0_103080_2020-12-13_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