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
2014-12-01 10:08:55	ga_ls8c_ard_3-2-1_099066_2014-12-01_final
2016-11-12 12:37:47	ga_ls8c_ard_3-2-1_123067_2016-11-12_final
2019-11-13 10:09:05	ga_ls8c_ard_3-2-1_099066_2019-11-13_final
2020-09-16 08:10:58	ga_ls8c_ard_3-2-1_079080_2020-09-15_final
2021-12-12 12:37:48	ga_ls8c_ard_3-2-1_123067_2021-12-12_final
2022-01-12 11:57:37	ga_ls8c_ard_3-2-1_116075_2022-01-12_final
2023-04-05 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-04-05_final
2023-09-22 12:31:20	ga_ls8c_ard_3-2-1_122067_2023-09-22_final
2023-12-17 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-12-16_final
2024-01-19 09:27:23	ga_ls8c_ard_3-2-1_091086_2024-01-18_final
2024-01-28 10:57:59	ga_ls8c_ard_3-2-1_106081_2024-01-28_final
2024-01-30 10:41:16	ga_ls8c_ard_3-2-1_104070_2024-01-30_final
2024-01-31 09:47:39	ga_ls8c_ard_3-2-1_095075_2024-01-31_final
2024-02-01 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-01_final
2024-02-01 10:29:44	ga_ls8c_ard_3-2-1_102072_2024-02-01_final
2024-02-01 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-01_final
2024-02-01 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-01_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-02-02 09:35:43	ga_ls8c_ard_3-2-1_093076_2024-02-02_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-02 11:13:24	ga_ls8c_ard_3-2-1_109073_2024-02-02_final
2024-02-05 10:04:38	ga_ls8c_ard_3-2-1_098071_2024-02-05_final
2024-02-05 10:05:02	ga_ls8c_ard_3-2-1_098072_2024-02-05_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-12 10:14:01	ga_ls8c_ard_3-2-1_099079_2024-02-12_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-18 09:35:42	ga_ls8c_ard_3-2-1_093076_2024-02-18_final
2024-02-20 11:02:14	ga_ls8c_ard_3-2-1_107076_2024-02-20_final
2024-02-21 10:05:48	ga_ls8c_ard_3-2-1_098074_2024-02-21_final
2024-02-23 09:52:38	ga_ls8c_ard_3-2-1_096072_2024-02-23_final
2024-02-24 10:35:53	ga_ls8c_ard_3-2-1_103072_2024-02-24_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-02-27 11:07:57	ga_ls8c_ard_3-2-1_108075_2024-02-27_final
2024-02-29 09:19:05	ga_ls8c_ard_3-2-1_090081_2024-02-28_final
2024-02-29 10:55:10	ga_ls8c_ard_3-2-1_106074_2024-02-29_final
2024-03-01 11:41:37	ga_ls8c_ard_3-2-1_113082_2024-03-01_final
2024-03-02 10:40:47	ga_ls8c_ard_3-2-1_104069_2024-03-02_final
2024-03-02 10:41:11	ga_ls8c_ard_3-2-1_104070_2024-03-02_final
2024-03-03 09:47:32	ga_ls8c_ard_3-2-1_095075_2024-03-03_final
2024-03-04 10:28:47	ga_ls8c_ard_3-2-1_102070_2024-03-04_final
2024-03-04 10:29:59	ga_ls8c_ard_3-2-1_102073_2024-03-04_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-06 10:17:11	ga_ls8c_ard_3-2-1_100072_2024-03-06_final
2024-03-08 10:06:00	ga_ls8c_ard_3-2-1_098075_2024-03-08_final
2024-03-08 10:06:48	ga_ls8c_ard_3-2-1_098077_2024-03-08_final
2024-03-09 10:46:04	ga_ls8c_ard_3-2-1_105067_2024-03-09_final
2024-03-11 10:36:30	ga_ls8c_ard_3-2-1_103074_2024-03-11_final
2024-03-13 10:24:55	ga_ls8c_ard_3-2-1_101076_2024-03-13_final
2024-03-16 09:17:19	ga_ls8c_ard_3-2-1_090077_2024-03-15_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_final
2024-03-17 11:41:03	ga_ls8c_ard_3-2-1_113081_2024-03-17_final
2024-03-17 11:41:51	ga_ls8c_ard_3-2-1_113083_2024-03-17_final
2024-03-23 09:25:23	ga_ls8c_ard_3-2-1_091082_2024-03-22_final
2024-03-23 09:26:59	ga_ls8c_ard_3-2-1_091086_2024-03-22_final
2024-03-23 09:28:11	ga_ls8c_ard_3-2-1_091089_2024-03-22_final
2024-03-25 09:13:23	ga_ls8c_ard_3-2-1_089083_2024-03-24_final
2024-03-28 11:18:42	ga_ls8c_ard_3-2-1_110072_2024-03-28_final
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-04-01 09:19:06	ga_ls8c_ard_3-2-1_090082_2024-03-31_final
2024-04-01 10:55:12	ga_ls8c_ard_3-2-1_106075_2024-04-01_final
2024-04-02 10:02:46	ga_ls8c_ard_3-2-1_097083_2024-04-02_final
2024-04-03 09:05:57	ga_ls8c_ard_3-2-1_088080_2024-04-02_final
2024-04-05 10:28:53	ga_ls8c_ard_3-2-1_102071_2024-04-05_final
2024-04-06 11:12:08	ga_ls8c_ard_3-2-1_109071_2024-04-06_final
2024-04-06 11:12:56	ga_ls8c_ard_3-2-1_109073_2024-04-06_final
2024-04-08 09:23:17	ga_ls8c_ard_3-2-1_091077_2024-04-07_final
2024-04-09 10:06:32	ga_ls8c_ard_3-2-1_098077_2024-04-09_final
2024-04-09 11:46:13	ga_ls8c_ard_3-2-1_114079_2024-04-09_final
2024-04-10 10:47:00	ga_ls8c_ard_3-2-1_105070_2024-04-10_final
2024-04-10 10:47:24	ga_ls8c_ard_3-2-1_105071_2024-04-10_final
2024-04-11 09:52:34	ga_ls8c_ard_3-2-1_096073_2024-04-11_final
2024-04-14 10:23:26	ga_ls8c_ard_3-2-1_101073_2024-04-14_final
2024-04-15 11:05:53	ga_ls8c_ard_3-2-1_108071_2024-04-15_final
2024-04-17 09:17:48	ga_ls8c_ard_3-2-1_090079_2024-04-16_final
2024-04-17 09:18:36	ga_ls8c_ard_3-2-1_090081_2024-04-16_final
2024-04-17 09:19:24	ga_ls8c_ard_3-2-1_090083_2024-04-16_final
2024-04-17 09:20:12	ga_ls8c_ard_3-2-1_090085_2024-04-16_final
2024-04-18 11:39:31	ga_ls8c_ard_3-2-1_113078_2024-04-18_final
2024-04-20 09:51:03	ga_ls8c_ard_3-2-1_095085_2024-04-20_final
2024-04-22 11:11:12	ga_ls8c_ard_3-2-1_109069_2024-04-22_final
2024-04-24 09:23:08	ga_ls8c_ard_3-2-1_091077_2024-04-23_final
2024-04-24 09:25:56	ga_ls8c_ard_3-2-1_091084_2024-04-23_final
2024-04-25 10:05:35	ga_ls8c_ard_3-2-1_098075_2024-04-25_final
2024-04-25 10:08:47	ga_ls8c_ard_3-2-1_098083_2024-04-25_final
2024-04-26 10:46:51	ga_ls8c_ard_3-2-1_105070_2024-04-26_final
2024-04-26 10:47:14	ga_ls8c_ard_3-2-1_105071_2024-04-26_final
2024-04-27 09:52:24	ga_ls8c_ard_3-2-1_096073_2024-04-27_final
2024-04-28 10:33:39	ga_ls8c_ard_3-2-1_103068_2024-04-28_final
2024-04-28 10:34:27	ga_ls8c_ard_3-2-1_103070_2024-04-28_final
2024-04-29 09:43:36	ga_ls8c_ard_3-2-1_094082_2024-04-29_final
2024-04-29 09:44:24	ga_ls8c_ard_3-2-1_094084_2024-04-29_final
2024-05-02 10:08:51	ga_ls8c_ard_3-2-1_099068_2024-05-02_final
2024-05-04 10:02:28	ga_ls8c_ard_3-2-1_097083_2024-05-04_final
2024-05-05 10:39:45	ga_ls8c_ard_3-2-1_104068_2024-05-05_final
2024-05-06 09:51:18	ga_ls8c_ard_3-2-1_095086_2024-05-06_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