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
2013-04-22 09:52:35	ga_ls8c_ard_3-0-0_095083_2013-04-22_final
2013-04-22 11:31:28	ga_ls8c_ard_3-0-0_111083_2013-04-22_final
2013-04-24 09:40:12	ga_ls8c_ard_3-0-0_093083_2013-04-24_final
2013-04-24 11:19:05	ga_ls8c_ard_3-0-0_109083_2013-04-24_final
2013-04-25 10:23:27	ga_ls8c_ard_3-0-0_100083_2013-04-25_final
2013-04-26 09:27:49	ga_ls8c_ard_3-0-0_091083_2013-04-25_final
2013-04-26 11:06:42	ga_ls8c_ard_3-0-0_107083_2013-04-26_final
2013-07-01 10:54:10	ga_ls8c_ard_3-0-0_105082_2013-07-01_final
2013-07-02 09:58:33	ga_ls8c_ard_3-0-0_096082_2013-07-02_final
2013-07-02 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-02_final
2013-07-02 11:37:26	ga_ls8c_ard_3-0-0_112082_2013-07-02_final
2013-07-02 11:37:50	ga_ls8c_ard_3-0-0_112083_2013-07-02_final
2013-07-03 10:41:49	ga_ls8c_ard_3-0-0_103082_2013-07-03_final
2013-07-04 09:46:35	ga_ls8c_ard_3-0-0_094083_2013-07-04_final
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-04 11:25:29	ga_ls8c_ard_3-0-0_110083_2013-07-04_final
2013-08-11 09:09:09	ga_ls8c_ard_3-0-0_088082_2013-08-10_final
2013-08-11 10:48:02	ga_ls8c_ard_3-0-0_104082_2013-08-11_final
2013-08-12 09:52:48	ga_ls8c_ard_3-0-0_095083_2013-08-12_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2013-08-12 11:31:41	ga_ls8c_ard_3-0-0_111083_2013-08-12_final
2013-09-11 10:05:10	ga_ls8c_ard_3-0-0_097083_2013-09-11_final
2013-09-11 11:44:03	ga_ls8c_ard_3-0-0_113083_2013-09-11_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-09-13 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-09-13_final
2013-09-13 09:52:47	ga_ls8c_ard_3-0-0_095083_2013-09-13_final
2013-09-13 11:31:40	ga_ls8c_ard_3-0-0_111083_2013-09-13_final
2013-09-14 10:35:38	ga_ls8c_ard_3-0-0_102082_2013-09-14_final
2013-09-15 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-09-15_final
2013-09-15 11:18:54	ga_ls8c_ard_3-0-0_109082_2013-09-15_final
2013-09-15 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-09-15_final
2013-10-28 09:21:12	ga_ls8c_ard_3-0-0_090082_2013-10-27_final
2013-10-28 09:21:36	ga_ls8c_ard_3-0-0_090083_2013-10-27_final
2013-10-28 11:00:05	ga_ls8c_ard_3-0-0_106082_2013-10-28_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 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-10-29_final
2013-10-29 11:43:45	ga_ls8c_ard_3-0-0_113083_2013-10-29_final
2013-10-30 10:47:44	ga_ls8c_ard_3-0-0_104082_2013-10-30_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
2013-11-12 10:17:14	ga_ls8c_ard_3-0-0_099083_2013-11-12_final
2013-11-13 09:21:37	ga_ls8c_ard_3-0-0_090083_2013-11-12_final
2013-11-13 11:00:30	ga_ls8c_ard_3-0-0_106083_2013-11-13_final
2013-11-14 10:04:52	ga_ls8c_ard_3-0-0_097083_2013-11-14_final
2013-11-14 11:43:45	ga_ls8c_ard_3-0-0_113083_2013-11-14_final
2015-01-17 09:31:52	ga_ls8c_ard_3-0-0_092082_2015-01-17_final
2015-01-17 09:32:16	ga_ls8c_ard_3-0-0_092083_2015-01-17_final
2015-01-17 11:10:45	ga_ls8c_ard_3-0-0_108082_2015-01-17_final
2015-01-17 11:11:09	ga_ls8c_ard_3-0-0_108083_2015-01-17_final
2015-01-18 10:15:07	ga_ls8c_ard_3-0-0_099082_2015-01-18_final
2015-01-18 10:15:31	ga_ls8c_ard_3-0-0_099083_2015-01-18_final
2015-01-19 09:19:29	ga_ls8c_ard_3-0-0_090082_2015-01-18_final
2015-01-19 09:19:53	ga_ls8c_ard_3-0-0_090083_2015-01-18_final
2015-01-19 10:58:22	ga_ls8c_ard_3-0-0_106082_2015-01-19_final
2015-01-19 10:58:46	ga_ls8c_ard_3-0-0_106083_2015-01-19_final
2015-02-16 09:44:25	ga_ls8c_ard_3-0-0_094083_2015-02-16_final
2015-02-16 11:23:18	ga_ls8c_ard_3-0-0_110083_2015-02-16_final
2015-02-17 10:27:41	ga_ls8c_ard_3-0-0_101083_2015-02-17_final
2015-02-18 09:32:04	ga_ls8c_ard_3-0-0_092083_2015-02-18_final
2015-02-18 11:10:33	ga_ls8c_ard_3-0-0_108082_2015-02-18_final
2015-02-18 11:10:57	ga_ls8c_ard_3-0-0_108083_2015-02-18_final
2015-02-19 10:15:20	ga_ls8c_ard_3-0-0_099083_2015-02-19_final
2015-02-20 09:19:42	ga_ls8c_ard_3-0-0_090083_2015-02-19_final
2015-02-20 10:58:35	ga_ls8c_ard_3-0-0_106083_2015-02-20_final
2015-02-28 10:09:07	ga_ls8c_ard_3-0-0_098083_2015-02-28_final
2015-03-01 09:13:29	ga_ls8c_ard_3-0-0_089083_2015-02-28_final
2015-03-01 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-03-01_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-03-19 11:17:14	ga_ls8c_ard_3-2-1_109083_2023-03-19_final
2023-03-20 10:21:36	ga_ls8c_ard_3-2-1_100083_2023-03-20_final
2023-03-21 09:25:57	ga_ls8c_ard_3-2-1_091083_2023-03-20_final
2023-03-21 11:04:50	ga_ls8c_ard_3-2-1_107083_2023-03-21_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-23 09:13:33	ga_ls8c_ard_3-2-1_089083_2023-03-22_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-03-24 09:56:48	ga_ls8c_ard_3-2-1_096083_2023-03-24_final
2023-04-25 09:56:29	ga_ls8c_ard_3-2-1_096083_2023-04-25_final
2023-04-25 11:35:22	ga_ls8c_ard_3-2-1_112083_2023-04-25_final
2023-04-27 09:44:07	ga_ls8c_ard_3-2-1_094083_2023-04-27_final
2023-04-27 11:23:00	ga_ls8c_ard_3-2-1_110083_2023-04-27_final
2023-04-28 10:27:22	ga_ls8c_ard_3-2-1_101083_2023-04-28_final
2023-11-13 10:33:49	ga_ls8c_ard_3-2-1_102082_2023-11-13_final
2023-11-14 09:38:37	ga_ls8c_ard_3-2-1_093083_2023-11-14_final
2023-11-15 08:42:36	ga_ls8c_ard_3-2-1_084082_2023-11-14_final
2023-11-15 10:21:29	ga_ls8c_ard_3-2-1_100082_2023-11-15_final
2023-11-15 10:21:53	ga_ls8c_ard_3-2-1_100083_2023-11-15_final
2023-11-16 09:25:52	ga_ls8c_ard_3-2-1_091082_2023-11-15_final
2023-11-16 09:26:16	ga_ls8c_ard_3-2-1_091083_2023-11-15_final
2023-11-16 11:04:45	ga_ls8c_ard_3-2-1_107082_2023-11-16_final
2023-11-16 11:05:09	ga_ls8c_ard_3-2-1_107083_2023-11-16_final
2023-11-20 10:40:04	ga_ls8c_ard_3-2-1_103082_2023-11-20_final
2023-11-21 09:44:51	ga_ls8c_ard_3-2-1_094083_2023-11-21_final
2023-11-21 11:23:44	ga_ls8c_ard_3-2-1_110083_2023-11-21_final
2023-11-22 08:48:50	ga_ls8c_ard_3-2-1_085082_2023-11-21_final
2023-11-22 10:28:07	ga_ls8c_ard_3-2-1_101083_2023-11-22_final
2023-11-23 09:32:06	ga_ls8c_ard_3-2-1_092082_2023-11-23_final
2023-11-23 09:32:30	ga_ls8c_ard_3-2-1_092083_2023-11-23_final
2023-11-23 11:10:59	ga_ls8c_ard_3-2-1_108082_2023-11-23_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