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
2016-12-07 12:31:35	ga_ls8c_ard_3-2-1_122067_2016-12-07_final
2017-09-27 08:42:37	ga_ls8c_ard_3-2-1_084082_2017-09-26_final
2020-06-12 08:10:20	ga_ls8c_ard_3-2-1_079080_2020-06-11_final
2022-03-28 11:42:12	ga_ls8c_ard_3-2-1_113084_2022-03-28_final
2022-04-03 12:37:12	ga_ls8c_ard_3-2-1_123067_2022-04-03_final
2023-06-21 08:10:11	ga_ls8c_ard_3-2-1_079080_2023-06-20_final
2023-10-11 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-10-11_final
2023-10-17 10:46:22	ga_ls8c_ard_3-2-1_105067_2023-10-17_final
2023-10-17 10:47:58	ga_ls8c_ard_3-2-1_105071_2023-10-17_final
2023-10-17 10:52:21	ga_ls8c_ard_3-2-1_105082_2023-10-17_final
2023-10-20 11:24:02	ga_ls8c_ard_3-2-1_110084_2023-10-20_final
2023-10-22 11:07:42	ga_ls8c_ard_3-2-1_108074_2023-10-22_final
2023-10-22 11:10:54	ga_ls8c_ard_3-2-1_108082_2023-10-22_final
2023-10-24 09:18:29	ga_ls8c_ard_3-2-1_090079_2023-10-23_final
2023-10-25 09:58:57	ga_ls8c_ard_3-2-1_097072_2023-10-25_final
2023-10-27 09:51:48	ga_ls8c_ard_3-2-1_095085_2023-10-27_final
2023-11-01 11:45:15	ga_ls8c_ard_3-2-1_114075_2023-11-01_final
2023-11-02 10:48:01	ga_ls8c_ard_3-2-1_105071_2023-11-02_final
2023-11-06 10:24:04	ga_ls8c_ard_3-2-1_101073_2023-11-06_final
2023-11-08 10:12:52	ga_ls8c_ard_3-2-1_099076_2023-11-08_final
2023-11-09 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-11-09_final
2023-11-10 10:04:04	ga_ls8c_ard_3-2-1_097085_2023-11-10_final
2023-11-12 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-11-12_final
2023-11-13 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-11-13_final
2023-11-17 10:08:21	ga_ls8c_ard_3-2-1_098080_2023-11-17_final
2023-11-18 09:15:08	ga_ls8c_ard_3-2-1_089086_2023-11-17_final
2023-11-18 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-11-18_final
2023-11-18 10:50:25	ga_ls8c_ard_3-2-1_105077_2023-11-18_final
2023-11-21 09:45:39	ga_ls8c_ard_3-2-1_094085_2023-11-21_final
2023-11-27 10:43:04	ga_ls8c_ard_3-2-1_104074_2023-11-27_final
2023-11-28 09:49:50	ga_ls8c_ard_3-2-1_095080_2023-11-28_final
2023-11-30 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-11-30_final
2023-12-04 10:47:33	ga_ls8c_ard_3-2-1_105070_2023-12-04_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-07 11:22:47	ga_ls8c_ard_3-2-1_110081_2023-12-07_final
2023-12-09 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-12-09_final
2023-12-10 10:12:51	ga_ls8c_ard_3-2-1_099076_2023-12-10_final
2023-12-11 10:55:43	ga_ls8c_ard_3-2-1_106075_2023-12-11_final
2023-12-12 11:42:12	ga_ls8c_ard_3-2-1_113083_2023-12-12_final
2023-12-14 11:29:51	ga_ls8c_ard_3-2-1_111083_2023-12-14_final
2023-12-15 10:30:39	ga_ls8c_ard_3-2-1_102074_2023-12-15_final
2023-12-16 11:13:07	ga_ls8c_ard_3-2-1_109072_2023-12-16_final
2023-12-22 10:37:40	ga_ls8c_ard_3-2-1_103076_2023-12-22_final
2023-12-25 11:06:57	ga_ls8c_ard_3-2-1_108072_2023-12-25_final
2023-12-27 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-12-26_final
2024-01-01 09:36:34	ga_ls8c_ard_3-2-1_093078_2024-01-01_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-03 09:25:22	ga_ls8c_ard_3-2-1_091081_2024-01-02_final
2024-01-04 11:46:42	ga_ls8c_ard_3-2-1_114079_2024-01-04_final
2024-01-05 10:47:28	ga_ls8c_ard_3-2-1_105070_2024-01-05_final
2024-01-10 09:32:46	ga_ls8c_ard_3-2-1_092084_2024-01-10_final
2024-01-12 09:23:13	ga_ls8c_ard_3-2-1_090091_2024-01-11_final
2024-01-12 10:53:19	ga_ls8c_ard_3-2-1_106069_2024-01-12_final
2024-01-12 10:55:42	ga_ls8c_ard_3-2-1_106075_2024-01-12_final
2024-01-14 10:44:09	ga_ls8c_ard_3-2-1_104077_2024-01-14_final
2024-01-16 10:32:11	ga_ls8c_ard_3-2-1_102078_2024-01-16_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-24 11:24:20	ga_ls8c_ard_3-2-1_110085_2024-01-24_final
2024-01-27 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-01-27_final
2024-01-28 09:21:30	ga_ls8c_ard_3-2-1_090087_2024-01-27_final
2024-01-28 10:57:35	ga_ls8c_ard_3-2-1_106080_2024-01-28_final
2024-01-29 09:59:35	ga_ls8c_ard_3-2-1_097074_2024-01-29_final
2024-01-30 10:43:40	ga_ls8c_ard_3-2-1_104076_2024-01-30_final
2024-02-01 10:29:44	ga_ls8c_ard_3-2-1_102072_2024-02-01_final
2024-02-02 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-02_final
2024-02-04 09:28:09	ga_ls8c_ard_3-2-1_091088_2024-02-03_final
2024-02-04 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-02-04_final
2024-02-04 11:05:27	ga_ls8c_ard_3-2-1_107084_2024-02-04_final
2024-02-07 11:35:34	ga_ls8c_ard_3-2-1_112082_2024-02-07_final
2024-02-11 11:08:26	ga_ls8c_ard_3-2-1_108076_2024-02-11_final
2024-02-12 10:16:24	ga_ls8c_ard_3-2-1_099085_2024-02-12_final
2024-02-13 10:56:04	ga_ls8c_ard_3-2-1_106076_2024-02-13_final
2024-02-14 11:38:55	ga_ls8c_ard_3-2-1_113075_2024-02-14_final
2024-02-14 11:41:43	ga_ls8c_ard_3-2-1_113082_2024-02-14_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-02-19 11:58:39	ga_ls8c_ard_3-2-1_116078_2024-02-19_final
2024-02-21 11:45:53	ga_ls8c_ard_3-2-1_114077_2024-02-21_final
2024-02-29 09:19:29	ga_ls8c_ard_3-2-1_090082_2024-02-28_final
2024-03-01 10:03:31	ga_ls8c_ard_3-2-1_097084_2024-03-01_final
2024-03-01 11:40:49	ga_ls8c_ard_3-2-1_113080_2024-03-01_final
2024-03-05 09:35:08	ga_ls8c_ard_3-2-1_093075_2024-03-05_final
2024-03-07 09:28:20	ga_ls8c_ard_3-2-1_091089_2024-03-06_final
2024-03-08 10:05:36	ga_ls8c_ard_3-2-1_098074_2024-03-08_final
2024-03-08 11:44:53	ga_ls8c_ard_3-2-1_114075_2024-03-08_final
2024-03-10 11:34:55	ga_ls8c_ard_3-2-1_112081_2024-03-10_final
2024-03-19 11:29:51	ga_ls8c_ard_3-2-1_111084_2024-03-19_final
2024-03-21 09:36:35	ga_ls8c_ard_3-2-1_093079_2024-03-21_final
2024-03-22 11:58:19	ga_ls8c_ard_3-2-1_116078_2024-03-22_final
2024-03-24 10:09:01	ga_ls8c_ard_3-2-1_098083_2024-03-24_final
2024-03-26 11:35:05	ga_ls8c_ard_3-2-1_112082_2024-03-26_final
2024-03-28 11:19:06	ga_ls8c_ard_3-2-1_110073_2024-03-28_final
2024-03-28 11:20:18	ga_ls8c_ard_3-2-1_110076_2024-03-28_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-03-31 10:11:32	ga_ls8c_ard_3-2-1_099074_2024-03-31_final
2024-03-31 11:50:25	ga_ls8c_ard_3-2-1_115074_2024-03-31_final
2024-03-31 11:51:37	ga_ls8c_ard_3-2-1_115077_2024-03-31_final
2024-04-01 10:55:12	ga_ls8c_ard_3-2-1_106075_2024-04-01_final
2024-04-02 09:59:10	ga_ls8c_ard_3-2-1_097074_2024-04-02_final
2024-04-02 11:40:27	ga_ls8c_ard_3-2-1_113080_2024-04-02_final
2024-04-02 11:41:15	ga_ls8c_ard_3-2-1_113082_2024-04-02_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