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
2013-09-22 09:46:08	ga_ls8c_ard_3-0-0_094082_2013-09-22_final
2013-09-22 09:46:32	ga_ls8c_ard_3-0-0_094083_2013-09-22_final
2013-09-22 11:25:01	ga_ls8c_ard_3-0-0_110082_2013-09-22_final
2013-09-22 11:25:25	ga_ls8c_ard_3-0-0_110083_2013-09-22_final
2013-09-23 10:29:47	ga_ls8c_ard_3-0-0_101083_2013-09-23_final
2013-09-24 09:34:09	ga_ls8c_ard_3-0-0_092083_2013-09-24_final
2013-09-24 11:13:02	ga_ls8c_ard_3-0-0_108083_2013-09-24_final
2013-10-11 10:17:24	ga_ls8c_ard_3-0-0_099083_2013-10-11_final
2013-10-12 09:21:46	ga_ls8c_ard_3-0-0_090083_2013-10-11_final
2013-10-12 11:00:39	ga_ls8c_ard_3-0-0_106083_2013-10-12_final
2013-10-13 11:43:55	ga_ls8c_ard_3-0-0_113083_2013-10-13_final
2013-10-15 09:52:15	ga_ls8c_ard_3-0-0_095082_2013-10-15_final
2013-10-15 11:31:32	ga_ls8c_ard_3-0-0_111083_2013-10-15_final
2013-10-17 09:39:53	ga_ls8c_ard_3-0-0_093082_2013-10-17_final
2013-10-17 09:40:17	ga_ls8c_ard_3-0-0_093083_2013-10-17_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-31 09:52:31	ga_ls8c_ard_3-0-0_095083_2013-10-31_final
2013-10-31 11:31:00	ga_ls8c_ard_3-0-0_111082_2013-10-31_final
2013-10-31 11:31:24	ga_ls8c_ard_3-0-0_111083_2013-10-31_final
2013-11-01 10:35:23	ga_ls8c_ard_3-0-0_102082_2013-11-01_final
2013-11-02 09:39:46	ga_ls8c_ard_3-0-0_093082_2013-11-02_final
2013-11-02 09:40:10	ga_ls8c_ard_3-0-0_093083_2013-11-02_final
2013-11-02 11:19:03	ga_ls8c_ard_3-0-0_109083_2013-11-02_final
2013-11-03 10:23:26	ga_ls8c_ard_3-0-0_100083_2013-11-03_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
2013-12-02 09:52:25	ga_ls8c_ard_3-0-0_095083_2013-12-02_final
2013-12-02 11:31:18	ga_ls8c_ard_3-0-0_111083_2013-12-02_final
2014-02-02 10:04:12	ga_ls8c_ard_3-0-0_097083_2014-02-02_final
2014-02-02 11:43:05	ga_ls8c_ard_3-0-0_113083_2014-02-02_final
2014-02-04 09:51:49	ga_ls8c_ard_3-0-0_095083_2014-02-04_final
2014-02-04 11:30:42	ga_ls8c_ard_3-0-0_111083_2014-02-04_final
2014-02-06 09:39:26	ga_ls8c_ard_3-0-0_093083_2014-02-06_final
2014-02-06 11:18:18	ga_ls8c_ard_3-0-0_109083_2014-02-06_final
2019-11-30 10:59:06	ga_ls8c_ard_3-1-0_106083_2019-11-30_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 10:46:44	ga_ls8c_ard_3-1-0_104083_2019-12-02_final
2019-12-12 09:44:31	ga_ls8c_ard_3-1-0_094082_2019-12-12_final
2019-12-12 09:44:55	ga_ls8c_ard_3-1-0_094083_2019-12-12_final
2019-12-12 11:23:24	ga_ls8c_ard_3-1-0_110082_2019-12-12_final
2019-12-12 11:23:48	ga_ls8c_ard_3-1-0_110083_2019-12-12_final
2019-12-13 10:27:47	ga_ls8c_ard_3-2-0_101082_2019-12-13_final
2019-12-13 10:28:11	ga_ls8c_ard_3-2-0_101083_2019-12-13_final
2019-12-14 09:32:33	ga_ls8c_ard_3-2-0_092083_2019-12-14_final
2019-12-14 11:11:02	ga_ls8c_ard_3-2-0_108082_2019-12-14_final
2019-12-14 11:11:26	ga_ls8c_ard_3-2-0_108083_2019-12-14_final
2019-12-15 10:15:25	ga_ls8c_ard_3-2-0_099082_2019-12-15_final
2019-12-15 10:15:49	ga_ls8c_ard_3-2-0_099083_2019-12-15_final
2019-12-16 09:19:47	ga_ls8c_ard_3-2-0_090082_2019-12-15_final
2019-12-16 09:20:11	ga_ls8c_ard_3-2-0_090083_2019-12-15_final
2019-12-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2019-12-16_final
2019-12-16 10:59:04	ga_ls8c_ard_3-2-0_106083_2019-12-16_final
2019-12-17 10:03:03	ga_ls8c_ard_3-2-0_097082_2019-12-17_final
2019-12-17 10:03:27	ga_ls8c_ard_3-2-0_097083_2019-12-17_final
2019-12-17 11:41:56	ga_ls8c_ard_3-2-0_113082_2019-12-17_final
2019-12-17 11:42:20	ga_ls8c_ard_3-2-0_113083_2019-12-17_final
2019-12-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2019-12-17_final
2019-12-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2019-12-17_final
2019-12-18 10:46:42	ga_ls8c_ard_3-2-0_104083_2019-12-18_final
2019-12-19 09:50:41	ga_ls8c_ard_3-2-0_095082_2019-12-19_final
2019-12-19 09:51:05	ga_ls8c_ard_3-2-0_095083_2019-12-19_final
2019-12-19 11:29:58	ga_ls8c_ard_3-2-0_111083_2019-12-19_final
2019-12-22 10:21:58	ga_ls8c_ard_3-1-0_100083_2019-12-22_final
2020-01-09 10:09:32	ga_ls8c_ard_3-1-0_098083_2020-01-09_final
2020-01-10 09:13:30	ga_ls8c_ard_3-1-0_089082_2020-01-09_final
2020-01-10 09:13:54	ga_ls8c_ard_3-1-0_089083_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
2020-01-26 09:13:26	ga_ls8c_ard_3-1-0_089082_2020-01-25_final
2020-01-26 09:13:50	ga_ls8c_ard_3-1-0_089083_2020-01-25_final
2020-01-26 10:52:43	ga_ls8c_ard_3-1-0_105083_2020-01-26_final
2021-09-09 10:52:28	ga_ls8c_ard_3-2-0_105082_2021-09-09_final
2021-09-09 10:52:52	ga_ls8c_ard_3-2-0_105083_2021-09-09_final
2021-09-10 09:57:14	ga_ls8c_ard_3-2-0_096083_2021-09-10_final
2021-09-10 11:36:08	ga_ls8c_ard_3-2-0_112083_2021-09-10_final
2021-09-11 10:40:06	ga_ls8c_ard_3-2-0_103082_2021-09-11_final
2021-09-11 10:40:30	ga_ls8c_ard_3-2-0_103083_2021-09-11_final
2021-09-12 09:44:53	ga_ls8c_ard_3-2-0_094083_2021-09-12_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-12 11:23:46	ga_ls8c_ard_3-2-0_110083_2021-09-12_final
2021-09-14 11:11:25	ga_ls8c_ard_3-2-0_108083_2021-09-14_final
2021-09-15 10:15:24	ga_ls8c_ard_3-2-0_099082_2021-09-15_final
2021-09-15 10:15:48	ga_ls8c_ard_3-2-0_099083_2021-09-15_final
2021-09-16 09:20:11	ga_ls8c_ard_3-2-0_090083_2021-09-15_final
2021-09-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2021-09-16_final
2021-09-16 10:59:04	ga_ls8c_ard_3-2-0_106083_2021-09-16_final
2021-09-17 10:03:03	ga_ls8c_ard_3-2-0_097082_2021-09-17_final
2021-09-17 10:03:26	ga_ls8c_ard_3-2-0_097083_2021-09-17_final
2021-09-17 11:41:56	ga_ls8c_ard_3-2-0_113082_2021-09-17_final
2021-09-17 11:42:20	ga_ls8c_ard_3-2-0_113083_2021-09-17_final
2021-09-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2021-09-17_final
2021-09-18 09:07:49	ga_ls8c_ard_3-2-0_088083_2021-09-17_final
2021-09-21 11:17:37	ga_ls8c_ard_3-2-0_109083_2021-09-21_final
2021-09-22 08:42:43	ga_ls8c_ard_3-2-1_084082_2021-09-21_final
2021-09-22 10:21:59	ga_ls8c_ard_3-2-0_100083_2021-09-22_final
2021-09-23 09:25:58	ga_ls8c_ard_3-2-0_091082_2021-09-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years