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
2017-11-07 10:09:01	ga_ls8c_ard_3-2-1_099066_2017-11-07_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2020-04-05 10:08:24	ga_ls8c_ard_3-2-1_099066_2020-04-05_final
2021-02-11 12:37:33	ga_ls8c_ard_3-2-1_123067_2021-02-11_final
2021-12-12 12:37:48	ga_ls8c_ard_3-2-1_123067_2021-12-12_final
2022-01-29 12:37:36	ga_ls8c_ard_3-2-1_123067_2022-01-29_final
2023-07-10 08:42:06	ga_ls8c_ard_3-2-1_084082_2023-07-09_final
2023-10-17 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-10-17_final
2023-10-20 09:43:57	ga_ls8c_ard_3-2-1_094081_2023-10-20_final
2023-10-20 11:22:02	ga_ls8c_ard_3-2-1_110079_2023-10-20_final
2023-10-22 11:07:42	ga_ls8c_ard_3-2-1_108074_2023-10-22_final
2023-10-24 09:17:41	ga_ls8c_ard_3-2-1_090077_2023-10-23_final
2023-10-27 09:49:00	ga_ls8c_ard_3-2-1_095078_2023-10-27_final
2023-11-05 09:42:25	ga_ls8c_ard_3-2-1_094077_2023-11-05_final
2023-11-05 09:42:49	ga_ls8c_ard_3-2-1_094078_2023-11-05_final
2023-11-05 09:45:36	ga_ls8c_ard_3-2-1_094085_2023-11-05_final
2023-11-05 11:21:18	ga_ls8c_ard_3-2-1_110077_2023-11-05_final
2023-11-05 11:22:06	ga_ls8c_ard_3-2-1_110079_2023-11-05_final
2023-11-07 09:30:26	ga_ls8c_ard_3-2-1_092078_2023-11-07_final
2023-11-07 09:34:01	ga_ls8c_ard_3-2-1_092087_2023-11-07_final
2023-11-09 10:56:31	ga_ls8c_ard_3-2-1_106077_2023-11-09_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-11-12 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-11-12_final
2023-11-17 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-11-17_final
2023-11-19 09:56:48	ga_ls8c_ard_3-2-1_096082_2023-11-19_final
2023-11-24 11:53:27	ga_ls8c_ard_3-2-1_115080_2023-11-24_final
2023-11-30 09:37:03	ga_ls8c_ard_3-2-1_093079_2023-11-30_final
2023-11-30 09:39:51	ga_ls8c_ard_3-2-1_093086_2023-11-30_final
2023-11-30 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-11-30_final
2023-12-02 09:25:28	ga_ls8c_ard_3-2-1_091081_2023-12-01_final
2023-12-04 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-12-04_final
2023-12-05 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-12-05_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-08 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-12-08_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-09 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-12-09_final
2023-12-11 09:18:50	ga_ls8c_ard_3-2-1_090080_2023-12-10_final
2023-12-11 10:55:43	ga_ls8c_ard_3-2-1_106075_2023-12-11_final
2023-12-14 09:49:46	ga_ls8c_ard_3-2-1_095080_2023-12-14_final
2023-12-14 09:50:58	ga_ls8c_ard_3-2-1_095083_2023-12-14_final
2023-12-15 10:31:03	ga_ls8c_ard_3-2-1_102075_2023-12-15_final
2023-12-16 09:37:26	ga_ls8c_ard_3-2-1_093080_2023-12-16_final
2023-12-16 09:39:02	ga_ls8c_ard_3-2-1_093084_2023-12-16_final
2023-12-16 11:16:19	ga_ls8c_ard_3-2-1_109080_2023-12-16_final
2023-12-17 10:17:07	ga_ls8c_ard_3-2-1_100071_2023-12-17_final
2023-12-18 11:03:58	ga_ls8c_ard_3-2-1_107080_2023-12-18_final
2023-12-18 11:05:34	ga_ls8c_ard_3-2-1_107084_2023-12-18_final
2023-12-19 10:09:09	ga_ls8c_ard_3-2-1_098082_2023-12-19_final
2023-12-20 09:16:20	ga_ls8c_ard_3-2-1_089089_2023-12-19_final
2023-12-20 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-12-20_final
2023-12-21 09:55:12	ga_ls8c_ard_3-2-1_096078_2023-12-21_final
2023-12-26 10:15:19	ga_ls8c_ard_3-2-1_099082_2023-12-26_final
2023-12-26 11:51:00	ga_ls8c_ard_3-2-1_115074_2023-12-26_final
2023-12-30 09:50:33	ga_ls8c_ard_3-2-1_095082_2023-12-30_final
2023-12-30 09:52:09	ga_ls8c_ard_3-2-1_095086_2023-12-30_final
2024-01-01 09:38:58	ga_ls8c_ard_3-2-1_093084_2024-01-01_final
2024-01-03 09:23:47	ga_ls8c_ard_3-2-1_091077_2024-01-02_final
2024-01-03 11:02:39	ga_ls8c_ard_3-2-1_107077_2024-01-03_final
2024-01-05 10:50:40	ga_ls8c_ard_3-2-1_105078_2024-01-05_final
2024-01-06 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-06_final
2024-01-08 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-01-08_final
2024-01-12 10:52:55	ga_ls8c_ard_3-2-1_106068_2024-01-12_final
2024-01-13 11:41:46	ga_ls8c_ard_3-2-1_113082_2024-01-13_final
2024-01-15 09:48:56	ga_ls8c_ard_3-2-1_095078_2024-01-15_final
2024-01-15 11:28:12	ga_ls8c_ard_3-2-1_111079_2024-01-15_final
2024-01-17 11:15:02	ga_ls8c_ard_3-2-1_109077_2024-01-17_final
2024-01-17 11:16:14	ga_ls8c_ard_3-2-1_109080_2024-01-17_final
2024-01-18 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-18_final
2024-01-19 11:03:52	ga_ls8c_ard_3-2-1_107080_2024-01-19_final
2024-01-21 10:50:41	ga_ls8c_ard_3-2-1_105078_2024-01-21_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_final
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_final
2024-01-27 10:14:19	ga_ls8c_ard_3-2-1_099080_2024-01-27_final
2024-01-31 11:30:08	ga_ls8c_ard_3-2-1_111084_2024-01-31_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-02 11:15:00	ga_ls8c_ard_3-2-1_109077_2024-02-02_final
2024-02-04 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-02-03_final
2024-02-04 11:03:51	ga_ls8c_ard_3-2-1_107080_2024-02-04_final
2024-02-04 11:05:27	ga_ls8c_ard_3-2-1_107084_2024-02-04_final
2024-02-06 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-02-06_final
2024-02-09 11:18:25	ga_ls8c_ard_3-2-1_110070_2024-02-09_final
2024-02-09 11:20:48	ga_ls8c_ard_3-2-1_110076_2024-02-09_final
2024-02-09 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-02-09_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-13 09:18:47	ga_ls8c_ard_3-2-1_090080_2024-02-12_final
2024-02-16 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-02-16_final
2024-02-16 09:51:39	ga_ls8c_ard_3-2-1_095085_2024-02-16_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-18 11:14:59	ga_ls8c_ard_3-2-1_109077_2024-02-18_final
2024-02-20 11:04:37	ga_ls8c_ard_3-2-1_107082_2024-02-20_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-27 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-02-27_final
2024-02-29 10:57:34	ga_ls8c_ard_3-2-1_106080_2024-02-29_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 11:28:25	ga_ls8c_ard_3-2-1_111080_2024-03-03_final
2024-03-05 09:37:32	ga_ls8c_ard_3-2-1_093081_2024-03-05_final
2024-03-05 11:16:01	ga_ls8c_ard_3-2-1_109080_2024-03-05_final
2024-03-06 10:17:35	ga_ls8c_ard_3-2-1_100073_2024-03-06_final
2024-03-06 10:19:59	ga_ls8c_ard_3-2-1_100079_2024-03-06_final
2024-03-06 10:21:58	ga_ls8c_ard_3-2-1_100084_2024-03-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years