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
2018-12-04 09:27:11	ga_ls8c_ard_3-1-0_091086_2018-12-03_final
2019-03-26 09:26:26	ga_ls8c_ard_3-1-0_091085_2019-03-25_final
2019-04-11 09:25:34	ga_ls8c_ard_3-1-0_091083_2019-04-10_final
2019-07-03 09:51:42	ga_ls8c_ard_3-1-0_096070_2019-07-03_final
2019-08-17 09:25:49	ga_ls8c_ard_3-1-0_091082_2019-08-16_final
2019-09-02 09:27:04	ga_ls8c_ard_3-1-0_091085_2019-09-01_final
2019-09-21 09:57:17	ga_ls8c_ard_3-1-0_096083_2019-09-21_final
2019-09-30 09:47:33	ga_ls8c_ard_3-1-0_095074_2019-09-30_final
2019-09-30 09:51:33	ga_ls8c_ard_3-1-0_095084_2019-09-30_final
2019-11-07 10:48:35	ga_ls8c_ard_3-1-0_105072_2019-11-07_final
2019-11-08 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-11-08_final
2019-11-23 10:47:43	ga_ls8c_ard_3-1-0_105070_2019-11-23_final
2019-12-10 09:57:41	ga_ls8c_ard_3-1-0_096084_2019-12-10_final
2020-01-15 11:10:31	ga_ls8c_ard_3-1-0_108081_2020-01-15_final
2020-01-31 11:10:26	ga_ls8c_ard_3-1-0_108081_2020-01-31_final
2020-02-16 11:10:22	ga_ls8c_ard_3-1-0_108081_2020-02-16_final
2020-02-21 09:50:00	ga_ls8c_ard_3-1-0_095081_2020-02-21_final
2020-03-08 09:49:31	ga_ls8c_ard_3-1-0_095080_2020-03-08_final
2020-03-12 09:27:57	ga_ls8c_ard_3-1-0_091088_2020-03-11_final
2020-03-19 11:10:34	ga_ls8c_ard_3-1-0_108082_2020-03-19_final
2020-04-09 09:51:14	ga_ls8c_ard_3-1-0_095085_2020-04-09_final
2020-04-16 09:56:34	ga_ls8c_ard_3-1-0_096083_2020-04-16_final
2020-08-10 09:29:02	ga_ls8c_ard_3-1-0_092075_2020-08-09_final
2020-08-10 09:29:26	ga_ls8c_ard_3-1-0_092076_2020-08-09_final
2020-08-10 09:31:50	ga_ls8c_ard_3-1-0_092082_2020-08-10_final
2020-08-12 10:53:58	ga_ls8c_ard_3-1-0_106071_2020-08-12_final
2020-08-15 11:24:54	ga_ls8c_ard_3-1-0_111071_2020-08-15_final
2020-08-17 09:34:52	ga_ls8c_ard_3-1-0_093074_2020-08-17_final
2020-08-17 09:37:16	ga_ls8c_ard_3-1-0_093080_2020-08-17_final
2020-08-18 10:18:32	ga_ls8c_ard_3-1-0_100075_2020-08-18_final
2020-08-19 11:04:12	ga_ls8c_ard_3-1-0_107081_2020-08-19_final
2020-08-24 11:21:12	ga_ls8c_ard_3-1-0_110077_2020-08-24_final
2020-08-25 10:23:11	ga_ls8c_ard_3-1-0_101071_2020-08-25_final
2020-08-26 09:29:10	ga_ls8c_ard_3-1-0_092075_2020-08-25_final
2020-08-29 11:41:22	ga_ls8c_ard_3-1-0_113081_2020-08-29_final
2020-08-31 09:50:32	ga_ls8c_ard_3-1-0_095082_2020-08-31_final
2020-09-03 10:21:28	ga_ls8c_ard_3-1-0_100082_2020-09-03_final
2020-09-03 11:57:33	ga_ls8c_ard_3-1-0_116075_2020-09-03_final
2020-09-03 11:57:57	ga_ls8c_ard_3-1-0_116076_2020-09-03_final
2020-09-22 09:14:47	ga_ls8c_ard_3-1-0_089085_2020-09-21_final
2020-09-22 10:50:29	ga_ls8c_ard_3-1-0_105077_2020-09-22_final
2020-09-27 11:11:02	ga_ls8c_ard_3-1-0_108082_2020-09-27_final
2020-09-30 10:01:52	ga_ls8c_ard_3-1-0_097079_2020-09-30_final
2020-10-01 10:41:08	ga_ls8c_ard_3-1-0_104069_2020-10-01_final
2020-10-01 10:41:32	ga_ls8c_ard_3-1-0_104070_2020-10-01_final
2020-10-02 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-10-02_final
2020-10-02 11:25:12	ga_ls8c_ard_3-1-0_111071_2020-10-02_final
2020-10-04 09:35:10	ga_ls8c_ard_3-1-0_093074_2020-10-04_final
2020-10-08 09:13:14	ga_ls8c_ard_3-1-0_089081_2020-10-07_final
2020-10-08 10:46:32	ga_ls8c_ard_3-1-0_105067_2020-10-08_final
2020-10-08 10:52:55	ga_ls8c_ard_3-1-0_105083_2020-10-08_final
2020-10-09 11:35:47	ga_ls8c_ard_3-1-0_112082_2020-10-09_final
2020-10-10 10:38:34	ga_ls8c_ard_3-1-0_103078_2020-10-10_final
2020-10-14 10:09:28	ga_ls8c_ard_3-1-0_099067_2020-10-14_final
2020-10-16 11:41:11	ga_ls8c_ard_3-1-0_113080_2020-10-16_final
2020-10-20 11:15:39	ga_ls8c_ard_3-1-0_109078_2020-10-20_final
2020-10-21 10:21:38	ga_ls8c_ard_3-1-0_100082_2020-10-21_final
2020-10-27 11:23:26	ga_ls8c_ard_3-1-0_110082_2020-10-27_final
2020-10-28 10:25:48	ga_ls8c_ard_3-1-0_101077_2020-10-28_final
2021-03-23 11:52:37	ga_ls8c_ard_3-2-0_115079_2021-03-23_final
2021-03-25 11:37:27	ga_ls8c_ard_3-2-0_113072_2021-03-25_final
2021-03-28 10:29:27	ga_ls8c_ard_3-2-0_102072_2021-03-28_final
2021-03-29 11:17:06	ga_ls8c_ard_3-2-0_109083_2021-03-29_final
2022-01-14 10:06:22	ga_ls8c_ard_3-2-1_098075_2022-01-14_final
2023-01-17 11:44:54	ga_ls8c_ard_3-2-1_114074_2023-01-17_final
2023-01-18 10:48:53	ga_ls8c_ard_3-2-1_105073_2023-01-18_final
2023-01-20 10:36:33	ga_ls8c_ard_3-2-1_103073_2023-01-20_final
2023-01-21 09:44:08	ga_ls8c_ard_3-2-1_094081_2023-01-21_final
2023-01-21 11:21:25	ga_ls8c_ard_3-2-1_110077_2023-01-21_final
2023-01-26 10:02:19	ga_ls8c_ard_3-2-1_097080_2023-01-26_final
2023-01-26 10:03:07	ga_ls8c_ard_3-2-1_097082_2023-01-26_final
2023-01-26 11:42:00	ga_ls8c_ard_3-2-1_113082_2023-01-26_final
2023-02-11 11:41:33	ga_ls8c_ard_3-2-1_113081_2023-02-11_final
2023-02-15 09:36:42	ga_ls8c_ard_3-2-1_093078_2023-02-15_final
2023-02-15 11:17:11	ga_ls8c_ard_3-2-1_109082_2023-02-15_final
2023-02-16 11:58:26	ga_ls8c_ard_3-2-1_116077_2023-02-16_final
2023-02-17 09:27:30	ga_ls8c_ard_3-2-1_091086_2023-02-16_final
2023-02-22 09:42:21	ga_ls8c_ard_3-2-1_094077_2023-02-22_final
2023-02-24 09:34:43	ga_ls8c_ard_3-2-1_092089_2023-02-24_final
2023-03-03 11:16:34	ga_ls8c_ard_3-2-1_109081_2023-03-03_final
2023-03-05 11:04:11	ga_ls8c_ard_3-2-1_107081_2023-03-05_final
2023-03-13 10:12:18	ga_ls8c_ard_3-2-1_099075_2023-03-13_final
2023-03-15 10:01:31	ga_ls8c_ard_3-2-1_097079_2023-03-15_final
2023-03-17 09:50:20	ga_ls8c_ard_3-2-1_095082_2023-03-17_final
2023-03-22 10:05:36	ga_ls8c_ard_3-2-1_098074_2023-03-22_final
2023-03-25 10:37:40	ga_ls8c_ard_3-2-1_103077_2023-03-25_final
2023-03-26 09:44:50	ga_ls8c_ard_3-2-1_094084_2023-03-26_final
2023-03-30 09:18:06	ga_ls8c_ard_3-2-1_090079_2023-03-29_final
2023-04-04 11:13:03	ga_ls8c_ard_3-2-1_109073_2023-04-04_final
2023-04-07 10:05:24	ga_ls8c_ard_3-2-1_098074_2023-04-07_final
2023-04-10 10:37:25	ga_ls8c_ard_3-2-1_103077_2023-04-10_final
2023-04-12 10:25:26	ga_ls8c_ard_3-2-1_101078_2023-04-12_final
2023-04-21 10:21:12	ga_ls8c_ard_3-2-1_100083_2023-04-21_final
2023-04-25 11:34:58	ga_ls8c_ard_3-2-1_112082_2023-04-25_final
2023-04-27 11:18:13	ga_ls8c_ard_3-2-1_110071_2023-04-27_final
2023-04-30 11:51:29	ga_ls8c_ard_3-2-1_115077_2023-04-30_final
2023-05-01 10:57:51	ga_ls8c_ard_3-2-1_106082_2023-05-01_final
2023-05-03 10:43:04	ga_ls8c_ard_3-2-1_104076_2023-05-03_final
2023-05-04 11:25:55	ga_ls8c_ard_3-2-1_111075_2023-05-04_final
2023-05-10 10:47:33	ga_ls8c_ard_3-2-1_105072_2023-05-10_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