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
2023-02-03 09:12:54	ga_ls8c_ard_3-2-1_089080_2023-02-02_final
2023-02-03 09:16:53	ga_ls8c_ard_3-2-1_089090_2023-02-02_final
2023-03-13 10:11:30	ga_ls8c_ard_3-2-1_099073_2023-03-13_final
2023-03-13 11:51:11	ga_ls8c_ard_3-2-1_115075_2023-03-13_final
2023-03-14 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-03-13_final
2023-03-23 09:12:45	ga_ls8c_ard_3-2-1_089081_2023-03-22_final
2023-04-11 09:39:23	ga_ls8c_ard_3-2-1_094071_2023-04-11_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-04-14 10:15:04	ga_ls8c_ard_3-2-1_099083_2023-04-14_final
2023-04-17 10:41:58	ga_ls8c_ard_3-2-1_104073_2023-04-17_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-04-20 09:39:32	ga_ls8c_ard_3-2-1_093087_2023-04-20_final
2023-04-20 11:13:14	ga_ls8c_ard_3-2-1_109074_2023-04-20_final
2023-04-21 10:16:25	ga_ls8c_ard_3-2-1_100071_2023-04-21_final
2023-05-06 11:13:32	ga_ls8c_ard_3-2-1_109075_2023-05-06_final
2023-05-10 10:48:20	ga_ls8c_ard_3-2-1_105074_2023-05-10_final
2023-05-11 09:51:06	ga_ls8c_ard_3-2-1_096070_2023-05-11_final
2023-05-12 10:39:08	ga_ls8c_ard_3-2-1_103082_2023-05-12_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-05-22 09:38:31	ga_ls8c_ard_3-2-1_093085_2023-05-22_final
2023-05-23 10:16:12	ga_ls8c_ard_3-2-1_100071_2023-05-23_final
2023-05-24 10:59:04	ga_ls8c_ard_3-2-1_107070_2023-05-24_final
2023-05-27 11:30:47	ga_ls8c_ard_3-2-1_112072_2023-05-27_final
2023-05-29 09:44:43	ga_ls8c_ard_3-2-1_094085_2023-05-29_final
2023-05-29 09:45:31	ga_ls8c_ard_3-2-1_094087_2023-05-29_final
2023-05-29 11:19:37	ga_ls8c_ard_3-2-1_110075_2023-05-29_final
2023-06-01 10:08:50	ga_ls8c_ard_3-2-1_099068_2023-06-01_final
2023-06-02 10:52:30	ga_ls8c_ard_3-2-1_106069_2023-06-02_final
2023-06-09 09:21:53	ga_ls8c_ard_3-2-1_091074_2023-06-08_final
2023-06-11 09:11:09	ga_ls8c_ard_3-2-1_089078_2023-06-10_final
2023-06-11 10:46:02	ga_ls8c_ard_3-2-1_105068_2023-06-11_final
2023-06-12 11:34:54	ga_ls8c_ard_3-2-1_112082_2023-06-12_final
2023-06-16 11:10:36	ga_ls8c_ard_3-2-1_108083_2023-06-16_final
2023-06-23 11:13:12	ga_ls8c_ard_3-2-1_109074_2023-06-23_final
2023-07-02 09:28:41	ga_ls8c_ard_3-2-1_092075_2023-07-01_final
2023-07-05 10:00:49	ga_ls8c_ard_3-2-1_097078_2023-07-05_final
2023-07-05 11:38:06	ga_ls8c_ard_3-2-1_113074_2023-07-05_final
2023-07-09 11:11:49	ga_ls8c_ard_3-2-1_109070_2023-07-09_final
2023-07-13 10:48:42	ga_ls8c_ard_3-2-1_105074_2023-07-13_final
2023-07-14 11:35:58	ga_ls8c_ard_3-2-1_112084_2023-07-14_final
2023-07-15 10:35:33	ga_ls8c_ard_3-2-1_103072_2023-07-15_final
2023-07-19 11:50:54	ga_ls8c_ard_3-2-1_115075_2023-07-19_final
2023-07-24 10:29:49	ga_ls8c_ard_3-2-1_102073_2023-07-24_final
2023-07-25 09:39:00	ga_ls8c_ard_3-2-1_093085_2023-07-25_final
2023-07-29 09:12:20	ga_ls8c_ard_3-2-1_089080_2023-07-28_final
2023-07-29 10:46:25	ga_ls8c_ard_3-2-1_105068_2023-07-29_final
2023-07-30 09:51:37	ga_ls8c_ard_3-2-1_096070_2023-07-30_final
2023-07-30 11:35:17	ga_ls8c_ard_3-2-1_112082_2023-07-30_final
2023-07-31 10:35:41	ga_ls8c_ard_3-2-1_103072_2023-07-31_final
2023-08-01 11:18:57	ga_ls8c_ard_3-2-1_110072_2023-08-01_final
2023-08-05 10:55:26	ga_ls8c_ard_3-2-1_106075_2023-08-05_final
2023-08-08 11:24:45	ga_ls8c_ard_3-2-1_111071_2023-08-08_final
2023-08-10 09:39:53	ga_ls8c_ard_3-2-1_093087_2023-08-10_final
2023-08-24 11:29:40	ga_ls8c_ard_3-2-1_111083_2023-08-24_final
2023-08-25 10:30:04	ga_ls8c_ard_3-2-1_102073_2023-08-25_final
2023-08-26 11:17:43	ga_ls8c_ard_3-2-1_109084_2023-08-26_final
2023-08-31 09:51:47	ga_ls8c_ard_3-2-1_096070_2023-08-31_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_final
2023-09-06 10:53:09	ga_ls8c_ard_3-2-1_106069_2023-09-06_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-09-06 10:55:57	ga_ls8c_ard_3-2-1_106076_2023-09-06_final
2023-09-15 09:14:34	ga_ls8c_ard_3-2-1_089085_2023-09-14_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-09-19 10:27:57	ga_ls8c_ard_3-2-1_101083_2023-09-19_final
2023-09-20 09:33:07	ga_ls8c_ard_3-2-1_092085_2023-09-20_final
2023-09-20 11:06:01	ga_ls8c_ard_3-2-1_108070_2023-09-20_final
2023-09-21 11:51:40	ga_ls8c_ard_3-2-1_115076_2023-09-21_final
2023-09-22 09:21:09	ga_ls8c_ard_3-2-1_090086_2023-09-21_final
2023-09-23 11:42:06	ga_ls8c_ard_3-2-1_113083_2023-09-23_final
2023-09-26 10:30:10	ga_ls8c_ard_3-2-1_102073_2023-09-26_final
2023-09-27 11:14:14	ga_ls8c_ard_3-2-1_109075_2023-09-27_final
2023-09-28 10:17:01	ga_ls8c_ard_3-2-1_100071_2023-09-28_final
2023-09-28 10:17:25	ga_ls8c_ard_3-2-1_100072_2023-09-28_final
2023-09-30 10:09:51	ga_ls8c_ard_3-2-1_098084_2023-09-30_final
2023-10-08 09:21:14	ga_ls8c_ard_3-2-1_090086_2023-10-07_final
2023-10-17 09:15:04	ga_ls8c_ard_3-2-1_089086_2023-10-16_final
2023-10-17 09:16:16	ga_ls8c_ard_3-2-1_089089_2023-10-16_final
2023-10-17 10:52:45	ga_ls8c_ard_3-2-1_105083_2023-10-17_final
2023-10-20 11:18:51	ga_ls8c_ard_3-2-1_110071_2023-10-20_final
2023-10-23 10:10:54	ga_ls8c_ard_3-2-1_099071_2023-10-23_final
2023-10-29 11:13:33	ga_ls8c_ard_3-2-1_109073_2023-10-29_final
2023-10-30 10:17:31	ga_ls8c_ard_3-2-1_100072_2023-10-30_final
2023-10-31 09:26:17	ga_ls8c_ard_3-2-1_091083_2023-10-30_final
2023-11-02 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-11-01_final
2023-11-02 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-11-02_final
2023-11-07 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-11-07_final
2023-11-07 11:06:31	ga_ls8c_ard_3-2-1_108071_2023-11-07_final
2023-11-08 10:11:40	ga_ls8c_ard_3-2-1_099073_2023-11-08_final
2023-11-09 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-11-08_final
2023-11-09 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-11-08_final
2023-11-09 09:21:13	ga_ls8c_ard_3-2-1_090086_2023-11-08_final
2023-11-09 10:53:43	ga_ls8c_ard_3-2-1_106070_2023-11-09_final
2023-11-09 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-11-09_final
2023-11-10 11:38:34	ga_ls8c_ard_3-2-1_113074_2023-11-10_final
2023-11-17 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-11-17_final
2023-11-17 11:47:38	ga_ls8c_ard_3-2-1_114081_2023-11-17_final
2023-11-18 10:46:50	ga_ls8c_ard_3-2-1_105068_2023-11-18_final
2023-11-19 09:52:01	ga_ls8c_ard_3-2-1_096070_2023-11-19_final
2023-11-21 11:21:21	ga_ls8c_ard_3-2-1_110077_2023-11-21_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