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
2019-06-22 10:09:23	ga_ls8c_ard_3-1-0_099068_2019-06-22_final
2019-06-23 10:52:16	ga_ls8c_ard_3-1-0_106067_2019-06-23_final
2019-06-23 10:52:39	ga_ls8c_ard_3-1-0_106068_2019-06-23_final
2019-06-24 09:56:38	ga_ls8c_ard_3-1-0_097067_2019-06-24_final
2019-06-24 09:57:02	ga_ls8c_ard_3-1-0_097068_2019-06-24_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-06-25 10:39:54	ga_ls8c_ard_3-1-0_104067_2019-06-25_final
2019-06-25 10:40:18	ga_ls8c_ard_3-1-0_104068_2019-06-25_final
2019-06-26 09:44:17	ga_ls8c_ard_3-1-0_095067_2019-06-26_final
2019-06-26 11:23:10	ga_ls8c_ard_3-1-0_111067_2019-06-26_final
2019-06-26 11:23:34	ga_ls8c_ard_3-1-0_111068_2019-06-26_final
2019-06-27 10:27:33	ga_ls8c_ard_3-1-0_102067_2019-06-27_final
2019-06-27 10:27:57	ga_ls8c_ard_3-1-0_102068_2019-06-27_final
2019-06-28 09:31:56	ga_ls8c_ard_3-1-0_093067_2019-06-28_final
2019-06-28 09:32:20	ga_ls8c_ard_3-1-0_093068_2019-06-28_final
2019-06-28 11:10:49	ga_ls8c_ard_3-1-0_109067_2019-06-28_final
2019-06-28 11:11:13	ga_ls8c_ard_3-1-0_109068_2019-06-28_final
2019-06-29 10:15:12	ga_ls8c_ard_3-1-0_100067_2019-06-29_final
2019-06-29 10:15:36	ga_ls8c_ard_3-1-0_100068_2019-06-29_final
2019-06-30 09:19:59	ga_ls8c_ard_3-1-0_091068_2019-06-29_final
2019-08-27 09:56:57	ga_ls8c_ard_3-1-0_097067_2019-08-27_final
2019-08-27 09:57:21	ga_ls8c_ard_3-1-0_097068_2019-08-27_final
2019-08-27 11:35:50	ga_ls8c_ard_3-1-0_113067_2019-08-27_final
2019-08-28 10:40:13	ga_ls8c_ard_3-1-0_104067_2019-08-28_final
2019-08-28 10:40:37	ga_ls8c_ard_3-1-0_104068_2019-08-28_final
2019-09-26 10:09:28	ga_ls8c_ard_3-1-0_099067_2019-09-26_final
2019-09-26 10:09:52	ga_ls8c_ard_3-1-0_099068_2019-09-26_final
2019-09-27 10:52:44	ga_ls8c_ard_3-1-0_106067_2019-09-27_final
2019-09-27 10:53:08	ga_ls8c_ard_3-1-0_106068_2019-09-27_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2019-09-28 09:57:07	ga_ls8c_ard_3-1-0_097067_2019-09-28_final
2019-09-28 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-09-28_final
2019-09-28 11:36:00	ga_ls8c_ard_3-1-0_113067_2019-09-28_final
2019-09-29 10:40:23	ga_ls8c_ard_3-1-0_104067_2019-09-29_final
2019-09-29 10:40:47	ga_ls8c_ard_3-1-0_104068_2019-09-29_final
2019-10-12 10:09:55	ga_ls8c_ard_3-1-0_099068_2019-10-12_final
2019-10-13 10:52:47	ga_ls8c_ard_3-1-0_106067_2019-10-13_final
2019-10-13 10:53:11	ga_ls8c_ard_3-1-0_106068_2019-10-13_final
2019-10-14 09:57:09	ga_ls8c_ard_3-1-0_097067_2019-10-14_final
2019-10-14 09:57:33	ga_ls8c_ard_3-1-0_097068_2019-10-14_final
2019-10-15 10:40:25	ga_ls8c_ard_3-1-0_104067_2019-10-15_final
2019-10-15 10:40:49	ga_ls8c_ard_3-1-0_104068_2019-10-15_final
2021-08-01 10:40:05	ga_ls8c_ard_3-2-0_104067_2021-08-01_final
2021-08-01 10:40:29	ga_ls8c_ard_3-2-0_104068_2021-08-01_final
2021-08-02 09:44:28	ga_ls8c_ard_3-2-0_095067_2021-08-02_final
2021-08-28 10:21:42	ga_ls8c_ard_3-2-0_101067_2021-08-28_final
2021-08-28 10:22:06	ga_ls8c_ard_3-2-0_101068_2021-08-28_final
2021-08-29 09:26:05	ga_ls8c_ard_3-2-0_092067_2021-08-28_final
2021-08-29 09:26:29	ga_ls8c_ard_3-2-0_092068_2021-08-28_final
2021-08-29 11:04:58	ga_ls8c_ard_3-2-0_108067_2021-08-29_final
2021-08-29 11:05:22	ga_ls8c_ard_3-2-0_108068_2021-08-29_final
2021-08-30 10:09:21	ga_ls8c_ard_3-2-0_099067_2021-08-30_final
2021-08-30 10:09:45	ga_ls8c_ard_3-2-0_099068_2021-08-30_final
2021-10-19 09:57:12	ga_ls8c_ard_3-2-0_097067_2021-10-19_final
2021-10-19 09:57:36	ga_ls8c_ard_3-2-0_097068_2021-10-19_final
2021-10-20 10:40:28	ga_ls8c_ard_3-2-0_104067_2021-10-20_final
2021-10-20 10:40:52	ga_ls8c_ard_3-2-0_104068_2021-10-20_final
2021-10-21 09:44:50	ga_ls8c_ard_3-2-0_095067_2021-10-21_final
2021-10-21 11:23:44	ga_ls8c_ard_3-2-0_111067_2021-10-21_final
2021-10-21 11:24:07	ga_ls8c_ard_3-2-0_111068_2021-10-21_final
2021-10-22 10:28:06	ga_ls8c_ard_3-2-0_102067_2021-10-22_final
2021-10-22 10:28:30	ga_ls8c_ard_3-2-0_102068_2021-10-22_final
2021-10-23 09:32:53	ga_ls8c_ard_3-2-0_093068_2021-10-23_final
2021-10-23 11:11:22	ga_ls8c_ard_3-2-0_109067_2021-10-23_final
2021-10-23 11:11:46	ga_ls8c_ard_3-2-0_109068_2021-10-23_final
2021-10-24 10:15:45	ga_ls8c_ard_3-2-0_100067_2021-10-24_final
2021-10-24 10:16:09	ga_ls8c_ard_3-2-0_100068_2021-10-24_final
2021-10-25 09:20:31	ga_ls8c_ard_3-2-0_091068_2021-10-24_final
2021-10-25 10:59:00	ga_ls8c_ard_3-2-0_107067_2021-10-25_final
2021-10-25 10:59:24	ga_ls8c_ard_3-2-0_107068_2021-10-25_final
2021-11-05 10:40:27	ga_ls8c_ard_3-2-0_104067_2021-11-05_final
2021-11-05 10:40:50	ga_ls8c_ard_3-2-0_104068_2021-11-05_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2021-11-06 11:23:42	ga_ls8c_ard_3-2-0_111067_2021-11-06_final
2021-11-06 11:24:06	ga_ls8c_ard_3-2-0_111068_2021-11-06_final
2021-11-07 10:28:04	ga_ls8c_ard_3-2-0_102067_2021-11-07_final
2021-11-07 10:28:28	ga_ls8c_ard_3-2-0_102068_2021-11-07_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-08 09:32:51	ga_ls8c_ard_3-2-0_093068_2021-11-08_final
2021-11-08 11:11:20	ga_ls8c_ard_3-2-0_109067_2021-11-08_final
2021-11-08 11:11:44	ga_ls8c_ard_3-2-0_109068_2021-11-08_final
2021-11-09 10:15:42	ga_ls8c_ard_3-2-0_100067_2021-11-09_final
2021-11-09 10:16:06	ga_ls8c_ard_3-2-0_100068_2021-11-09_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-11-10 10:58:57	ga_ls8c_ard_3-2-0_107067_2021-11-10_final
2021-11-10 10:59:21	ga_ls8c_ard_3-2-0_107068_2021-11-10_final
2021-11-10 12:37:50	ga_ls8c_ard_3-2-1_123067_2021-11-10_final
2021-11-12 10:46:35	ga_ls8c_ard_3-2-0_105067_2021-11-12_final
2021-11-12 10:46:59	ga_ls8c_ard_3-2-0_105068_2021-11-12_final
2021-11-13 09:50:57	ga_ls8c_ard_3-2-0_096067_2021-11-13_final
2021-11-13 09:51:21	ga_ls8c_ard_3-2-0_096068_2021-11-13_final
2021-11-13 11:29:50	ga_ls8c_ard_3-2-0_112067_2021-11-13_final
2021-11-13 11:30:14	ga_ls8c_ard_3-2-0_112068_2021-11-13_final
2021-11-14 10:34:12	ga_ls8c_ard_3-2-0_103067_2021-11-14_final
2021-11-14 10:34:36	ga_ls8c_ard_3-2-0_103068_2021-11-14_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-11-15 11:17:52	ga_ls8c_ard_3-2-0_110068_2021-11-15_final
2021-11-16 10:21:50	ga_ls8c_ard_3-2-0_101067_2021-11-16_final
2021-11-16 10:22:14	ga_ls8c_ard_3-2-0_101068_2021-11-16_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