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
2013-11-27 09:33:52	ga_ls8c_ard_3-0-0_092083_2013-11-27_final
2013-11-29 09:21:31	ga_ls8c_ard_3-0-0_090083_2013-11-28_final
2013-11-29 11:00:24	ga_ls8c_ard_3-0-0_106083_2013-11-29_final
2013-11-30 10:04:46	ga_ls8c_ard_3-0-0_097083_2013-11-30_final
2013-11-30 11:43:39	ga_ls8c_ard_3-0-0_113083_2013-11-30_final
2014-03-10 09:38:59	ga_ls8c_ard_3-0-0_093083_2014-03-10_final
2014-03-10 11:17:52	ga_ls8c_ard_3-0-0_109083_2014-03-10_final
2014-03-11 10:22:14	ga_ls8c_ard_3-0-0_100083_2014-03-11_final
2014-03-12 09:26:37	ga_ls8c_ard_3-0-0_091083_2014-03-11_final
2014-03-12 11:05:30	ga_ls8c_ard_3-0-0_107083_2014-03-12_final
2014-03-13 10:09:52	ga_ls8c_ard_3-0-0_098083_2014-03-13_final
2014-03-14 09:14:14	ga_ls8c_ard_3-0-0_089083_2014-03-13_final
2014-06-10 10:02:26	ga_ls8c_ard_3-0-0_097082_2014-06-10_final
2014-06-10 10:02:50	ga_ls8c_ard_3-0-0_097083_2014-06-10_final
2014-06-10 11:41:19	ga_ls8c_ard_3-0-0_113082_2014-06-10_final
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-06-12 09:50:29	ga_ls8c_ard_3-0-0_095083_2014-06-12_final
2014-06-12 11:28:58	ga_ls8c_ard_3-0-0_111082_2014-06-12_final
2014-06-12 11:29:22	ga_ls8c_ard_3-0-0_111083_2014-06-12_final
2014-06-13 10:33:21	ga_ls8c_ard_3-0-0_102082_2014-06-13_final
2016-10-21 10:03:30	ga_ls8c_ard_3-0-0_097083_2016-10-21_final
2016-10-21 11:41:59	ga_ls8c_ard_3-0-0_113082_2016-10-21_final
2016-10-21 11:42:23	ga_ls8c_ard_3-0-0_113083_2016-10-21_final
2016-10-22 09:07:53	ga_ls8c_ard_3-0-0_088083_2016-10-21_final
2016-10-22 10:46:22	ga_ls8c_ard_3-0-0_104082_2016-10-22_final
2016-10-22 10:46:46	ga_ls8c_ard_3-0-0_104083_2016-10-22_final
2016-10-23 09:51:08	ga_ls8c_ard_3-0-0_095083_2016-10-23_final
2016-10-23 11:30:01	ga_ls8c_ard_3-0-0_111083_2016-10-23_final
2016-10-24 10:34:24	ga_ls8c_ard_3-0-0_102083_2016-10-24_final
2016-10-28 10:09:41	ga_ls8c_ard_3-0-0_098083_2016-10-28_final
2016-10-29 09:13:40	ga_ls8c_ard_3-0-0_089082_2016-10-28_final
2016-10-29 09:14:04	ga_ls8c_ard_3-0-0_089083_2016-10-28_final
2016-10-29 10:52:57	ga_ls8c_ard_3-0-0_105083_2016-10-29_final
2016-10-30 09:57:19	ga_ls8c_ard_3-0-0_096083_2016-10-30_final
2016-10-30 11:36:12	ga_ls8c_ard_3-0-0_112083_2016-10-30_final
2016-10-31 10:40:11	ga_ls8c_ard_3-0-0_103082_2016-10-31_final
2016-10-31 10:40:35	ga_ls8c_ard_3-0-0_103083_2016-10-31_final
2016-12-24 10:03:23	ga_ls8c_ard_3-0-0_097083_2016-12-24_final
2016-12-24 11:42:16	ga_ls8c_ard_3-0-0_113083_2016-12-24_final
2016-12-25 09:07:46	ga_ls8c_ard_3-0-0_088083_2016-12-24_final
2016-12-25 10:46:39	ga_ls8c_ard_3-0-0_104083_2016-12-25_final
2016-12-26 09:51:02	ga_ls8c_ard_3-0-0_095083_2016-12-26_final
2016-12-26 11:29:55	ga_ls8c_ard_3-0-0_111083_2016-12-26_final
2016-12-27 10:33:53	ga_ls8c_ard_3-0-0_102082_2016-12-27_final
2016-12-27 10:34:17	ga_ls8c_ard_3-0-0_102083_2016-12-27_final
2017-03-06 10:52:24	ga_ls8c_ard_3-0-0_105083_2017-03-06_final
2017-03-07 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-03-07_final
2017-03-07 11:35:40	ga_ls8c_ard_3-0-0_112083_2017-03-07_final
2020-06-01 10:08:26	ga_ls8c_ard_3-1-0_098082_2020-06-01_final
2020-06-01 10:08:50	ga_ls8c_ard_3-1-0_098083_2020-06-01_final
2020-06-02 09:12:49	ga_ls8c_ard_3-1-0_089082_2020-06-01_final
2020-06-02 09:13:13	ga_ls8c_ard_3-1-0_089083_2020-06-01_final
2020-06-02 10:51:42	ga_ls8c_ard_3-1-0_105082_2020-06-02_final
2020-06-02 10:52:06	ga_ls8c_ard_3-1-0_105083_2020-06-02_final
2020-06-03 09:56:06	ga_ls8c_ard_3-1-0_096082_2020-06-03_final
2020-06-03 09:56:30	ga_ls8c_ard_3-1-0_096083_2020-06-03_final
2020-06-03 11:34:59	ga_ls8c_ard_3-1-0_112082_2020-06-03_final
2020-06-03 11:35:23	ga_ls8c_ard_3-1-0_112083_2020-06-03_final
2020-06-17 10:08:36	ga_ls8c_ard_3-1-0_098082_2020-06-17_final
2020-06-17 10:09:00	ga_ls8c_ard_3-1-0_098083_2020-06-17_final
2020-06-18 09:13:23	ga_ls8c_ard_3-1-0_089083_2020-06-17_final
2020-06-18 10:51:52	ga_ls8c_ard_3-1-0_105082_2020-06-18_final
2020-06-18 10:52:16	ga_ls8c_ard_3-1-0_105083_2020-06-18_final
2020-06-19 09:56:15	ga_ls8c_ard_3-1-0_096082_2020-06-19_final
2020-06-19 09:56:39	ga_ls8c_ard_3-1-0_096083_2020-06-19_final
2020-06-19 11:35:08	ga_ls8c_ard_3-1-0_112082_2020-06-19_final
2020-06-19 11:35:32	ga_ls8c_ard_3-1-0_112083_2020-06-19_final
2020-07-23 09:44:31	ga_ls8c_ard_3-1-0_094083_2020-07-23_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-24 10:27:47	ga_ls8c_ard_3-1-0_101083_2020-07-24_final
2020-07-25 09:32:10	ga_ls8c_ard_3-1-0_092083_2020-07-25_final
2020-07-25 11:10:39	ga_ls8c_ard_3-1-0_108082_2020-07-25_final
2020-07-25 11:11:03	ga_ls8c_ard_3-1-0_108083_2020-07-25_final
2020-08-01 09:38:23	ga_ls8c_ard_3-1-0_093083_2020-08-01_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2020-08-01 11:17:16	ga_ls8c_ard_3-1-0_109083_2020-08-01_final
2020-08-02 10:21:15	ga_ls8c_ard_3-1-0_100082_2020-08-02_final
2020-08-02 10:21:39	ga_ls8c_ard_3-1-0_100083_2020-08-02_final
2020-08-03 09:25:38	ga_ls8c_ard_3-1-0_091082_2020-08-02_final
2020-08-03 09:26:02	ga_ls8c_ard_3-1-0_091083_2020-08-02_final
2020-08-03 11:04:31	ga_ls8c_ard_3-1-0_107082_2020-08-03_final
2020-08-03 11:04:55	ga_ls8c_ard_3-1-0_107083_2020-08-03_final
2020-08-11 10:15:05	ga_ls8c_ard_3-1-0_099082_2020-08-11_final
2020-08-11 10:15:29	ga_ls8c_ard_3-1-0_099083_2020-08-11_final
2020-08-12 09:19:28	ga_ls8c_ard_3-1-0_090082_2020-08-11_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-08-12 10:58:21	ga_ls8c_ard_3-1-0_106082_2020-08-12_final
2020-08-12 10:58:45	ga_ls8c_ard_3-1-0_106083_2020-08-12_final
2020-08-13 10:02:45	ga_ls8c_ard_3-1-0_097082_2020-08-13_final
2020-08-13 10:03:09	ga_ls8c_ard_3-1-0_097083_2020-08-13_final
2020-08-13 11:41:38	ga_ls8c_ard_3-1-0_113082_2020-08-13_final
2020-08-13 11:42:02	ga_ls8c_ard_3-1-0_113083_2020-08-13_final
2020-08-21 09:13:23	ga_ls8c_ard_3-1-0_089082_2020-08-20_final
2020-08-21 09:13:47	ga_ls8c_ard_3-1-0_089083_2020-08-20_final
2020-08-21 10:52:16	ga_ls8c_ard_3-1-0_105082_2020-08-21_final
2020-08-21 10:52:40	ga_ls8c_ard_3-1-0_105083_2020-08-21_final
2020-08-22 09:56:39	ga_ls8c_ard_3-1-0_096082_2020-08-22_final
2020-08-22 09:57:03	ga_ls8c_ard_3-1-0_096083_2020-08-22_final
2020-08-22 11:35:32	ga_ls8c_ard_3-1-0_112082_2020-08-22_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