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
2020-08-12 12:31:15	ga_ls8c_ard_3-2-1_122067_2020-08-12_final
2020-10-21 08:42:45	ga_ls8c_ard_3-2-1_084082_2020-10-20_final
2022-07-07 11:57:38	ga_ls8c_ard_3-2-1_116075_2022-07-07_final
2022-07-20 08:11:00	ga_ls8c_ard_3-2-1_079080_2022-07-19_final
2023-03-20 11:57:17	ga_ls8c_ard_3-2-1_116075_2023-03-20_final
2023-06-08 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-06-08_final
2023-09-22 10:54:03	ga_ls8c_ard_3-2-1_106071_2023-09-22_final
2023-09-23 09:58:50	ga_ls8c_ard_3-2-1_097072_2023-09-23_final
2023-09-30 10:07:52	ga_ls8c_ard_3-2-1_098079_2023-09-30_final
2023-10-04 09:43:08	ga_ls8c_ard_3-2-1_094079_2023-10-04_final
2023-10-06 09:29:34	ga_ls8c_ard_3-2-1_092076_2023-10-05_final
2023-10-06 09:32:46	ga_ls8c_ard_3-2-1_092084_2023-10-06_final
2023-10-08 09:20:02	ga_ls8c_ard_3-2-1_090083_2023-10-07_final
2023-10-16 10:05:54	ga_ls8c_ard_3-2-1_098074_2023-10-16_final
2023-10-17 09:13:04	ga_ls8c_ard_3-2-1_089081_2023-10-16_final
2023-10-20 11:18:27	ga_ls8c_ard_3-2-1_110070_2023-10-20_final
2023-10-25 09:59:45	ga_ls8c_ard_3-2-1_097074_2023-10-25_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-11-03 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-11-03_final
2023-11-03 09:57:11	ga_ls8c_ard_3-2-1_096083_2023-11-03_final
2023-11-05 09:42:01	ga_ls8c_ard_3-2-1_094076_2023-11-05_final
2023-11-05 11:23:18	ga_ls8c_ard_3-2-1_110082_2023-11-05_final
2023-11-07 09:31:13	ga_ls8c_ard_3-2-1_092080_2023-11-07_final
2023-11-09 09:19:38	ga_ls8c_ard_3-2-1_090082_2023-11-08_final
2023-11-09 09:22:01	ga_ls8c_ard_3-2-1_090088_2023-11-08_final
2023-11-11 09:06:28	ga_ls8c_ard_3-2-1_088080_2023-11-10_final
2023-11-12 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-11-12_final
2023-11-15 10:20:41	ga_ls8c_ard_3-2-1_100080_2023-11-15_final
2023-11-16 11:00:22	ga_ls8c_ard_3-2-1_107071_2023-11-16_final
2023-11-17 10:05:33	ga_ls8c_ard_3-2-1_098073_2023-11-17_final
2023-11-18 09:13:08	ga_ls8c_ard_3-2-1_089081_2023-11-17_final
2023-11-21 09:45:39	ga_ls8c_ard_3-2-1_094085_2023-11-21_final
2023-11-23 11:08:35	ga_ls8c_ard_3-2-1_108076_2023-11-23_final
2023-11-26 10:03:00	ga_ls8c_ard_3-2-1_097082_2023-11-26_final
2023-11-27 10:41:04	ga_ls8c_ard_3-2-1_104069_2023-11-27_final
2023-11-29 10:29:06	ga_ls8c_ard_3-2-1_102070_2023-11-29_final
2023-12-02 11:04:44	ga_ls8c_ard_3-2-1_107082_2023-12-02_final
2023-12-03 10:05:30	ga_ls8c_ard_3-2-1_098073_2023-12-03_final
2023-12-05 09:56:42	ga_ls8c_ard_3-2-1_096082_2023-12-05_final
2023-12-05 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-12-05_final
2023-12-07 09:41:30	ga_ls8c_ard_3-2-1_094075_2023-12-07_final
2023-12-09 09:31:34	ga_ls8c_ard_3-2-1_092081_2023-12-09_final
2023-12-09 09:31:58	ga_ls8c_ard_3-2-1_092082_2023-12-09_final
2023-12-16 09:37:50	ga_ls8c_ard_3-2-1_093081_2023-12-16_final
2023-12-22 10:36:52	ga_ls8c_ard_3-2-1_103074_2023-12-22_final
2023-12-28 09:59:21	ga_ls8c_ard_3-2-1_097073_2023-12-28_final
2023-12-28 10:00:33	ga_ls8c_ard_3-2-1_097076_2023-12-28_final
2023-12-30 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-12-30_final
2024-01-01 09:35:22	ga_ls8c_ard_3-2-1_093075_2024-01-01_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-04 10:07:49	ga_ls8c_ard_3-2-1_098079_2024-01-04_final
2024-01-05 09:16:34	ga_ls8c_ard_3-2-1_089090_2024-01-04_final
2024-01-06 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-06_final
2024-01-12 09:22:49	ga_ls8c_ard_3-2-1_090090_2024-01-11_final
2024-01-13 10:02:53	ga_ls8c_ard_3-2-1_097082_2024-01-13_final
2024-01-15 09:52:31	ga_ls8c_ard_3-2-1_095087_2024-01-15_final
2024-01-19 12:37:34	ga_ls8c_ard_3-2-1_123067_2024-01-19_final
2024-01-20 10:03:51	ga_ls8c_ard_3-2-1_098069_2024-01-20_final
2024-01-20 10:07:50	ga_ls8c_ard_3-2-1_098079_2024-01-20_final
2024-01-21 10:51:29	ga_ls8c_ard_3-2-1_105080_2024-01-21_final
2024-01-22 09:57:03	ga_ls8c_ard_3-2-1_096083_2024-01-22_final
2024-01-22 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-22_final
2024-01-26 09:33:27	ga_ls8c_ard_3-2-1_092086_2024-01-26_final
2024-01-28 09:21:06	ga_ls8c_ard_3-2-1_090086_2024-01-27_final
2024-01-28 10:56:00	ga_ls8c_ard_3-2-1_106076_2024-01-28_final
2024-01-29 10:02:47	ga_ls8c_ard_3-2-1_097082_2024-01-29_final
2024-01-30 10:42:04	ga_ls8c_ard_3-2-1_104072_2024-01-30_final
2024-01-30 10:45:15	ga_ls8c_ard_3-2-1_104080_2024-01-30_final
2024-02-01 10:30:55	ga_ls8c_ard_3-2-1_102075_2024-02-01_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-05 10:06:14	ga_ls8c_ard_3-2-1_098075_2024-02-05_final
2024-02-06 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-02-06_final
2024-02-06 10:51:30	ga_ls8c_ard_3-2-1_105080_2024-02-06_final
2024-02-06 10:52:42	ga_ls8c_ard_3-2-1_105083_2024-02-06_final
2024-02-07 09:57:05	ga_ls8c_ard_3-2-1_096083_2024-02-07_final
2024-02-18 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-18_final
2024-02-22 09:14:34	ga_ls8c_ard_3-2-1_089085_2024-02-21_final
2024-02-22 10:51:27	ga_ls8c_ard_3-2-1_105080_2024-02-22_final
2024-02-25 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-02-25_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-27 09:31:52	ga_ls8c_ard_3-2-1_092082_2024-02-27_final
2024-02-28 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-02-28_final
2024-03-03 11:29:37	ga_ls8c_ard_3-2-1_111083_2024-03-03_final
2024-03-09 09:14:22	ga_ls8c_ard_3-2-1_089085_2024-03-08_final
2024-03-10 09:53:14	ga_ls8c_ard_3-2-1_096074_2024-03-10_final
2024-03-19 11:29:27	ga_ls8c_ard_3-2-1_111083_2024-03-19_final
2024-03-20 10:28:38	ga_ls8c_ard_3-2-1_102070_2024-03-20_final
2024-03-23 09:24:35	ga_ls8c_ard_3-2-1_091080_2024-03-22_final
2024-03-23 11:05:04	ga_ls8c_ard_3-2-1_107084_2024-03-23_final
2024-03-27 10:39:02	ga_ls8c_ard_3-2-1_103081_2024-03-27_final
2024-03-28 09:45:00	ga_ls8c_ard_3-2-1_094085_2024-03-28_final
2024-03-30 11:11:08	ga_ls8c_ard_3-2-1_108084_2024-03-30_final
2024-04-04 09:47:13	ga_ls8c_ard_3-2-1_095075_2024-04-04_final
2024-04-04 09:50:24	ga_ls8c_ard_3-2-1_095083_2024-04-04_final
2024-04-04 09:50:48	ga_ls8c_ard_3-2-1_095084_2024-04-04_final
2024-04-07 10:17:42	ga_ls8c_ard_3-2-1_100074_2024-04-07_final
2024-04-07 11:56:59	ga_ls8c_ard_3-2-1_116075_2024-04-07_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