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
2013-10-26 11:12:53	ga_ls8c_ard_3-0-0_108083_2013-10-26_final
2013-10-26 11:13:17	ga_ls8c_ard_3-0-0_108084_2013-10-26_final
2013-10-27 10:17:15	ga_ls8c_ard_3-0-0_099083_2013-10-27_final
2013-10-27 10:17:39	ga_ls8c_ard_3-0-0_099084_2013-10-27_final
2013-10-28 09:21:36	ga_ls8c_ard_3-0-0_090083_2013-10-27_final
2013-10-28 09:22:00	ga_ls8c_ard_3-0-0_090084_2013-10-27_final
2013-10-28 11:00:29	ga_ls8c_ard_3-0-0_106083_2013-10-28_final
2013-10-29 10:04:52	ga_ls8c_ard_3-0-0_097083_2013-10-29_final
2013-10-29 10:05:16	ga_ls8c_ard_3-0-0_097084_2013-10-29_final
2013-10-29 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-10-29_final
2013-11-14 10:05:16	ga_ls8c_ard_3-0-0_097084_2013-11-14_final
2013-11-14 11:44:09	ga_ls8c_ard_3-0-0_113084_2013-11-14_final
2013-11-16 09:52:29	ga_ls8c_ard_3-0-0_095083_2013-11-16_final
2013-11-16 09:52:53	ga_ls8c_ard_3-0-0_095084_2013-11-16_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2013-11-16 11:31:46	ga_ls8c_ard_3-0-0_111084_2013-11-16_final
2013-11-30 10:05:10	ga_ls8c_ard_3-0-0_097084_2013-11-30_final
2013-11-30 11:43:39	ga_ls8c_ard_3-0-0_113083_2013-11-30_final
2013-11-30 11:44:03	ga_ls8c_ard_3-0-0_113084_2013-11-30_final
2013-12-02 09:52:25	ga_ls8c_ard_3-0-0_095083_2013-12-02_final
2013-12-02 09:52:49	ga_ls8c_ard_3-0-0_095084_2013-12-02_final
2013-12-02 11:31:42	ga_ls8c_ard_3-0-0_111084_2013-12-02_final
2013-12-18 09:52:41	ga_ls8c_ard_3-0-0_095084_2013-12-18_final
2013-12-20 09:40:18	ga_ls8c_ard_3-0-0_093084_2013-12-20_final
2013-12-20 11:19:11	ga_ls8c_ard_3-0-0_109084_2013-12-20_final
2013-12-22 09:27:56	ga_ls8c_ard_3-0-0_091084_2013-12-21_final
2013-12-22 11:06:25	ga_ls8c_ard_3-0-0_107083_2013-12-22_final
2013-12-22 11:06:49	ga_ls8c_ard_3-0-0_107084_2013-12-22_final
2013-12-23 10:11:11	ga_ls8c_ard_3-0-0_098084_2013-12-23_final
2019-11-28 09:32:34	ga_ls8c_ard_3-1-0_092083_2019-11-28_final
2019-11-28 09:32:58	ga_ls8c_ard_3-1-0_092084_2019-11-28_final
2019-11-28 11:11:27	ga_ls8c_ard_3-1-0_108083_2019-11-28_final
2019-11-28 11:11:51	ga_ls8c_ard_3-1-0_108084_2019-11-28_final
2019-11-29 10:15:50	ga_ls8c_ard_3-1-0_099083_2019-11-29_final
2019-11-29 10:16:14	ga_ls8c_ard_3-1-0_099084_2019-11-29_final
2019-11-30 09:20:13	ga_ls8c_ard_3-1-0_090083_2019-11-29_final
2019-11-30 09:20:37	ga_ls8c_ard_3-1-0_090084_2019-11-29_final
2019-11-30 10:59:06	ga_ls8c_ard_3-1-0_106083_2019-11-30_final
2019-11-30 10:59:30	ga_ls8c_ard_3-1-0_106084_2019-11-30_final
2019-12-01 10:03:28	ga_ls8c_ard_3-1-0_097083_2019-12-01_final
2019-12-01 10:03:52	ga_ls8c_ard_3-1-0_097084_2019-12-01_final
2019-12-01 11:42:21	ga_ls8c_ard_3-1-0_113083_2019-12-01_final
2019-12-01 11:42:45	ga_ls8c_ard_3-1-0_113084_2019-12-01_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-02 09:08:15	ga_ls8c_ard_3-1-0_088084_2019-12-01_final
2019-12-02 10:46:44	ga_ls8c_ard_3-1-0_104083_2019-12-02_final
2020-01-09 10:09:32	ga_ls8c_ard_3-1-0_098083_2020-01-09_final
2020-01-09 10:09:56	ga_ls8c_ard_3-1-0_098084_2020-01-09_final
2020-01-10 09:13:54	ga_ls8c_ard_3-1-0_089083_2020-01-09_final
2020-01-10 09:14:18	ga_ls8c_ard_3-1-0_089084_2020-01-09_final
2020-01-10 10:52:47	ga_ls8c_ard_3-1-0_105083_2020-01-10_final
2020-01-25 10:09:28	ga_ls8c_ard_3-1-0_098083_2020-01-25_final
2020-01-25 10:09:52	ga_ls8c_ard_3-1-0_098084_2020-01-25_final
2020-01-26 09:13:50	ga_ls8c_ard_3-1-0_089083_2020-01-25_final
2020-01-26 09:14:14	ga_ls8c_ard_3-1-0_089084_2020-01-25_final
2020-01-26 10:52:43	ga_ls8c_ard_3-1-0_105083_2020-01-26_final
2021-02-04 09:20:01	ga_ls8c_ard_3-2-0_090083_2021-02-03_final
2021-02-04 09:20:25	ga_ls8c_ard_3-2-0_090084_2021-02-03_final
2021-02-04 10:58:54	ga_ls8c_ard_3-2-0_106083_2021-02-04_final
2021-02-04 10:59:18	ga_ls8c_ard_3-2-0_106084_2021-02-04_final
2021-02-05 10:03:40	ga_ls8c_ard_3-2-0_097084_2021-02-05_final
2021-02-12 10:09:49	ga_ls8c_ard_3-2-0_098084_2021-02-12_final
2021-02-13 09:13:48	ga_ls8c_ard_3-2-0_089083_2021-02-12_final
2021-02-13 09:14:12	ga_ls8c_ard_3-2-0_089084_2021-02-12_final
2021-02-14 09:57:03	ga_ls8c_ard_3-2-0_096083_2021-02-14_final
2021-02-14 09:57:27	ga_ls8c_ard_3-2-0_096084_2021-02-14_final
2021-02-14 11:35:56	ga_ls8c_ard_3-2-0_112083_2021-02-14_final
2021-02-14 11:36:20	ga_ls8c_ard_3-2-0_112084_2021-02-14_final
2021-02-15 10:40:19	ga_ls8c_ard_3-2-0_103083_2021-02-15_final
2021-02-16 09:44:41	ga_ls8c_ard_3-2-0_094083_2021-02-16_final
2021-02-16 09:45:05	ga_ls8c_ard_3-2-0_094084_2021-02-16_final
2021-02-16 11:23:34	ga_ls8c_ard_3-2-0_110083_2021-02-16_final
2021-02-16 11:23:58	ga_ls8c_ard_3-2-0_110084_2021-02-16_final
2021-02-23 09:50:49	ga_ls8c_ard_3-2-0_095083_2021-02-23_final
2021-02-23 09:51:13	ga_ls8c_ard_3-2-0_095084_2021-02-23_final
2021-02-23 11:30:06	ga_ls8c_ard_3-2-0_111084_2021-02-23_final
2021-02-24 10:34:05	ga_ls8c_ard_3-2-0_102083_2021-02-24_final
2021-02-25 09:38:27	ga_ls8c_ard_3-2-0_093083_2021-02-25_final
2021-02-25 09:38:51	ga_ls8c_ard_3-2-0_093084_2021-02-25_final
2021-02-25 11:17:44	ga_ls8c_ard_3-2-0_109084_2021-02-25_final
2021-02-26 10:21:42	ga_ls8c_ard_3-2-0_100083_2021-02-26_final
2021-02-26 10:22:06	ga_ls8c_ard_3-2-0_100084_2021-02-26_final
2021-02-27 09:26:28	ga_ls8c_ard_3-2-0_091084_2021-02-26_final
2021-02-27 11:04:57	ga_ls8c_ard_3-2-0_107083_2021-02-27_final
2021-02-27 11:05:21	ga_ls8c_ard_3-2-0_107084_2021-02-27_final
2021-03-10 09:07:26	ga_ls8c_ard_3-2-0_088083_2021-03-09_final
2021-03-10 09:07:50	ga_ls8c_ard_3-2-0_088084_2021-03-09_final
2021-03-10 10:46:19	ga_ls8c_ard_3-2-0_104083_2021-03-10_final
2021-03-11 09:50:41	ga_ls8c_ard_3-2-0_095083_2021-03-11_final
2021-03-11 09:51:05	ga_ls8c_ard_3-2-0_095084_2021-03-11_final
2021-03-11 11:29:58	ga_ls8c_ard_3-2-0_111084_2021-03-11_final
2021-03-12 10:33:56	ga_ls8c_ard_3-2-0_102083_2021-03-12_final
2021-03-13 09:38:42	ga_ls8c_ard_3-2-0_093084_2021-03-13_final
2021-07-26 09:44:37	ga_ls8c_ard_3-2-0_094083_2021-07-26_final
2021-07-26 11:23:30	ga_ls8c_ard_3-2-0_110083_2021-07-26_final
2021-07-30 09:19:56	ga_ls8c_ard_3-2-0_090083_2021-07-29_final
2021-07-30 09:20:20	ga_ls8c_ard_3-2-0_090084_2021-07-29_final
2021-07-30 10:58:49	ga_ls8c_ard_3-2-0_106083_2021-07-30_final
2021-07-30 10:59:13	ga_ls8c_ard_3-2-0_106084_2021-07-30_final
2021-07-31 10:03:12	ga_ls8c_ard_3-2-0_097083_2021-07-31_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