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
2013-11-16 09:52:05	ga_ls8c_ard_3-0-0_095082_2013-11-16_final
2013-11-16 09:52:29	ga_ls8c_ard_3-0-0_095083_2013-11-16_final
2013-11-16 11:30:58	ga_ls8c_ard_3-0-0_111082_2013-11-16_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2013-11-18 09:39:42	ga_ls8c_ard_3-0-0_093082_2013-11-18_final
2013-11-18 09:40:06	ga_ls8c_ard_3-0-0_093083_2013-11-18_final
2013-11-19 10:22:57	ga_ls8c_ard_3-0-0_100082_2013-11-19_final
2013-11-20 09:27:18	ga_ls8c_ard_3-0-0_091082_2013-11-19_final
2013-11-20 09:27:42	ga_ls8c_ard_3-0-0_091083_2013-11-19_final
2013-11-20 11:06:11	ga_ls8c_ard_3-1-0_107082_2013-11-20_final
2013-11-20 11:06:35	ga_ls8c_ard_3-0-0_107083_2013-11-20_final
2013-12-07 10:10:57	ga_ls8c_ard_3-0-0_098083_2013-12-07_final
2013-12-08 09:14:55	ga_ls8c_ard_3-0-0_089082_2013-12-07_final
2013-12-08 09:15:19	ga_ls8c_ard_3-0-0_089083_2013-12-07_final
2013-12-08 10:53:48	ga_ls8c_ard_3-0-0_105082_2013-12-08_final
2013-12-09 09:58:11	ga_ls8c_ard_3-0-0_096082_2013-12-09_final
2013-12-09 11:37:04	ga_ls8c_ard_3-0-0_112082_2013-12-09_final
2013-12-09 11:37:28	ga_ls8c_ard_3-0-0_112083_2013-12-09_final
2013-12-10 10:41:26	ga_ls8c_ard_3-0-0_103082_2013-12-10_final
2013-12-11 09:45:48	ga_ls8c_ard_3-0-0_094082_2013-12-11_final
2013-12-11 09:46:12	ga_ls8c_ard_3-0-0_094083_2013-12-11_final
2013-12-11 11:24:41	ga_ls8c_ard_3-0-0_110082_2013-12-11_final
2013-12-11 11:25:05	ga_ls8c_ard_3-0-0_110083_2013-12-11_final
2013-12-12 10:29:03	ga_ls8c_ard_3-0-0_101082_2013-12-12_final
2013-12-12 10:29:27	ga_ls8c_ard_3-0-0_101083_2013-12-12_final
2013-12-13 09:33:25	ga_ls8c_ard_3-0-0_092082_2013-12-13_final
2013-12-13 09:33:49	ga_ls8c_ard_3-0-0_092083_2013-12-13_final
2013-12-13 11:12:18	ga_ls8c_ard_3-0-0_108082_2013-12-13_final
2013-12-13 11:12:42	ga_ls8c_ard_3-0-0_108083_2013-12-13_final
2013-12-14 10:16:40	ga_ls8c_ard_3-0-0_099082_2013-12-14_final
2013-12-14 10:17:04	ga_ls8c_ard_3-0-0_099083_2013-12-14_final
2013-12-15 09:21:02	ga_ls8c_ard_3-0-0_090082_2013-12-14_final
2013-12-15 09:21:26	ga_ls8c_ard_3-0-0_090083_2013-12-14_final
2013-12-15 10:59:55	ga_ls8c_ard_3-0-0_106082_2013-12-15_final
2013-12-15 11:00:19	ga_ls8c_ard_3-0-0_106083_2013-12-15_final
2015-08-08 10:51:50	ga_ls8c_ard_3-0-0_105082_2015-08-08_final
2015-08-08 10:52:14	ga_ls8c_ard_3-0-0_105083_2015-08-08_final
2015-08-09 09:56:13	ga_ls8c_ard_3-0-0_096082_2015-08-09_final
2015-08-09 09:56:37	ga_ls8c_ard_3-0-0_096083_2015-08-09_final
2015-08-09 11:35:06	ga_ls8c_ard_3-0-0_112082_2015-08-09_final
2015-08-09 11:35:30	ga_ls8c_ard_3-0-0_112083_2015-08-09_final
2015-08-23 10:08:42	ga_ls8c_ard_3-0-0_098082_2015-08-23_final
2015-08-23 10:09:06	ga_ls8c_ard_3-0-0_098083_2015-08-23_final
2015-08-24 09:13:05	ga_ls8c_ard_3-0-0_089082_2015-08-23_final
2015-08-24 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-08-23_final
2015-08-24 10:51:58	ga_ls8c_ard_3-0-0_105082_2015-08-24_final
2015-08-24 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-08-24_final
2015-08-25 09:56:21	ga_ls8c_ard_3-0-0_096082_2015-08-25_final
2015-08-25 09:56:45	ga_ls8c_ard_3-0-0_096083_2015-08-25_final
2015-08-25 11:35:14	ga_ls8c_ard_3-0-0_112082_2015-08-25_final
2015-08-25 11:35:38	ga_ls8c_ard_3-0-0_112083_2015-08-25_final
2015-11-24 09:38:11	ga_ls8c_ard_3-0-0_093082_2015-11-24_final
2015-11-24 09:38:35	ga_ls8c_ard_3-0-0_093083_2015-11-24_final
2015-11-24 11:17:04	ga_ls8c_ard_3-0-0_109082_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-25 10:21:27	ga_ls8c_ard_3-0-0_100082_2015-11-25_final
2015-11-25 10:21:51	ga_ls8c_ard_3-0-0_100083_2015-11-25_final
2015-11-26 09:25:50	ga_ls8c_ard_3-0-0_091082_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2015-11-26 11:04:43	ga_ls8c_ard_3-1-0_107082_2015-11-26_final
2015-11-26 11:05:06	ga_ls8c_ard_3-0-0_107083_2015-11-26_final
2015-11-27 10:09:05	ga_ls8c_ard_3-0-0_098082_2015-11-27_final
2015-11-27 10:09:29	ga_ls8c_ard_3-0-0_098083_2015-11-27_final
2015-11-28 09:13:28	ga_ls8c_ard_3-0-0_089082_2015-11-27_final
2015-11-28 09:13:52	ga_ls8c_ard_3-0-0_089083_2015-11-27_final
2015-11-28 10:52:21	ga_ls8c_ard_3-0-0_105082_2015-11-28_final
2015-11-28 10:52:45	ga_ls8c_ard_3-0-0_105083_2015-11-28_final
2015-11-29 09:56:44	ga_ls8c_ard_3-0-0_096082_2015-11-29_final
2015-11-29 09:57:07	ga_ls8c_ard_3-0-0_096083_2015-11-29_final
2015-11-29 11:35:37	ga_ls8c_ard_3-0-0_112082_2015-11-29_final
2015-11-29 11:36:01	ga_ls8c_ard_3-0-0_112083_2015-11-29_final
2019-09-16 09:38:19	ga_ls8c_ard_3-1-0_093082_2019-09-16_final
2019-09-18 09:25:58	ga_ls8c_ard_3-1-0_091082_2019-09-17_final
2019-09-18 09:26:22	ga_ls8c_ard_3-1-0_091083_2019-09-17_final
2019-09-18 11:04:51	ga_ls8c_ard_3-1-0_107082_2019-09-18_final
2019-09-18 11:05:15	ga_ls8c_ard_3-1-0_107083_2019-09-18_final
2019-10-14 10:03:09	ga_ls8c_ard_3-1-0_097082_2019-10-14_final
2019-10-14 10:03:33	ga_ls8c_ard_3-1-0_097083_2019-10-14_final
2019-10-14 11:42:02	ga_ls8c_ard_3-1-0_113082_2019-10-14_final
2019-10-14 11:42:26	ga_ls8c_ard_3-1-0_113083_2019-10-14_final
2019-10-15 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-14_final
2019-10-15 09:07:55	ga_ls8c_ard_3-1-0_088083_2019-10-14_final
2019-10-15 10:46:24	ga_ls8c_ard_3-1-0_104082_2019-10-15_final
2019-10-15 10:46:48	ga_ls8c_ard_3-1-0_104083_2019-10-15_final
2019-10-16 09:50:47	ga_ls8c_ard_3-1-0_095082_2019-10-16_final
2019-10-16 09:51:11	ga_ls8c_ard_3-1-0_095083_2019-10-16_final
2019-10-16 11:29:40	ga_ls8c_ard_3-1-0_111082_2019-10-16_final
2019-10-16 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-10-16_final
2019-12-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2019-12-01_final
2019-12-01 10:03:28	ga_ls8c_ard_3-1-0_097083_2019-12-01_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_final
2019-12-01 11:42:21	ga_ls8c_ard_3-1-0_113083_2019-12-01_final
2019-12-02 09:07:27	ga_ls8c_ard_3-1-0_088082_2019-12-01_final
2019-12-02 09:07:51	ga_ls8c_ard_3-1-0_088083_2019-12-01_final
2019-12-02 10:46:20	ga_ls8c_ard_3-1-0_104082_2019-12-02_final
2019-12-02 10:46:44	ga_ls8c_ard_3-1-0_104083_2019-12-02_final
2019-12-03 09:50:43	ga_ls8c_ard_3-1-0_095082_2019-12-03_final
2019-12-03 09:51:07	ga_ls8c_ard_3-1-0_095083_2019-12-03_final
2019-12-03 11:29:36	ga_ls8c_ard_3-1-0_111082_2019-12-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years