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
2014-03-17 09:41:06	ga_ls8c_ard_3-0-0_094073_2014-03-17_final
2014-08-31 09:52:05	ga_ls8c_ard_3-0-0_095086_2014-08-31_final
2015-01-11 11:44:40	ga_ls8c_ard_3-0-0_114074_2015-01-11_final
2015-05-10 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-10_final
2015-11-22 09:50:32	ga_ls8c_ard_3-0-0_095082_2015-11-22_final
2015-12-24 09:50:56	ga_ls8c_ard_3-0-0_095083_2015-12-24_final
2015-12-24 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-12-24_final
2016-01-14 11:44:42	ga_ls8c_ard_3-0-0_114074_2016-01-14_final
2016-02-13 11:58:32	ga_ls8c_ard_3-0-0_116078_2016-02-13_final
2016-02-26 09:50:41	ga_ls8c_ard_3-0-0_095083_2016-02-26_final
2016-04-07 09:37:52	ga_ls8c_ard_3-0-0_094067_2016-04-07_final
2016-09-04 09:06:32	ga_ls8c_ard_3-0-0_088080_2016-09-03_final
2017-05-03 09:44:53	ga_ls8c_ard_3-0-0_095070_2017-05-03_final
2017-07-11 11:46:25	ga_ls8c_ard_3-0-0_114079_2017-07-11_final
2018-07-30 11:46:18	ga_ls8c_ard_3-0-0_114080_2018-07-30_final
2018-08-26 09:45:31	ga_ls8c_ard_3-0-0_095071_2018-08-26_final
2019-01-01 09:52:16	ga_ls8c_ard_3-0-0_095087_2019-01-01_final
2019-06-22 11:51:28	ga_ls8c_ard_3-1-0_115076_2019-06-22_final
2019-10-25 09:41:25	ga_ls8c_ard_3-1-0_094074_2019-10-25_final
2020-01-16 11:53:22	ga_ls8c_ard_3-1-0_115080_2020-01-16_final
2021-03-15 09:22:44	ga_ls8c_ard_3-2-0_091075_2021-03-14_final
2021-03-15 09:27:31	ga_ls8c_ard_3-2-0_091087_2021-03-14_final
2021-03-17 09:09:57	ga_ls8c_ard_3-2-0_089074_2021-03-16_final
2021-04-10 09:57:18	ga_ls8c_ard_3-2-0_097069_2021-04-10_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-04-18 10:46:41	ga_ls8c_ard_3-2-0_105069_2021-04-18_final
2021-04-21 09:37:52	ga_ls8c_ard_3-2-0_094067_2021-04-21_final
2021-04-30 09:31:36	ga_ls8c_ard_3-2-0_093067_2021-04-30_final
2021-05-05 09:52:53	ga_ls8c_ard_3-2-0_096074_2021-05-05_final
2021-05-23 11:18:46	ga_ls8c_ard_3-2-0_110072_2021-05-23_final
2021-05-29 09:06:03	ga_ls8c_ard_3-2-0_088080_2021-05-28_final
2021-06-08 11:19:18	ga_ls8c_ard_3-2-0_110073_2021-06-08_final
2021-06-08 11:20:30	ga_ls8c_ard_3-2-0_110076_2021-06-08_final
2021-06-12 09:18:55	ga_ls8c_ard_3-2-0_090081_2021-06-11_final
2021-06-17 09:33:29	ga_ls8c_ard_3-2-0_093071_2021-06-17_final
2021-07-08 11:34:58	ga_ls8c_ard_3-2-0_112081_2021-07-08_final
2021-07-15 10:02:16	ga_ls8c_ard_3-2-0_097081_2021-07-15_final
2021-08-09 09:52:18	ga_ls8c_ard_3-2-0_096071_2021-08-09_final
2021-08-22 11:02:20	ga_ls8c_ard_3-2-0_107076_2021-08-22_final
2021-08-23 11:44:48	ga_ls8c_ard_3-2-0_114074_2021-08-23_final
2021-09-04 10:29:07	ga_ls8c_ard_3-2-0_102070_2021-09-04_final
2021-09-28 09:45:45	ga_ls8c_ard_3-2-0_094085_2021-09-28_final
2021-09-30 09:29:25	ga_ls8c_ard_3-2-0_092075_2021-09-29_final
2021-10-11 09:14:55	ga_ls8c_ard_3-2-0_089085_2021-10-10_final
2021-10-16 09:31:29	ga_ls8c_ard_3-2-0_092080_2021-10-16_final
2021-11-04 11:41:15	ga_ls8c_ard_3-2-0_113080_2021-11-04_final
2021-11-17 11:11:28	ga_ls8c_ard_3-2-0_108083_2021-11-17_final
2021-11-22 09:46:45	ga_ls8c_ard_3-2-0_095072_2021-11-22_final
2021-11-25 10:21:15	ga_ls8c_ard_3-2-0_100081_2021-11-25_final
2021-11-27 11:47:23	ga_ls8c_ard_3-2-0_114080_2021-11-27_final
2021-12-16 10:34:59	ga_ls8c_ard_3-2-1_103069_2021-12-16_final
2021-12-27 10:21:34	ga_ls8c_ard_3-2-1_100082_2021-12-27_final
2022-01-20 09:30:03	ga_ls8c_ard_3-2-1_092077_2022-01-20_final
2022-02-26 09:50:25	ga_ls8c_ard_3-2-1_095082_2022-02-26_final
2022-03-09 11:06:44	ga_ls8c_ard_3-2-1_108072_2022-03-09_final
2022-03-28 11:41:24	ga_ls8c_ard_3-2-1_113082_2022-03-28_final
2022-04-10 11:09:21	ga_ls8c_ard_3-2-1_108079_2022-04-10_final
2022-04-26 11:10:07	ga_ls8c_ard_3-2-1_108081_2022-04-26_final
2022-06-16 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-06-16_final
2022-06-27 09:46:27	ga_ls8c_ard_3-2-1_094087_2022-06-27_final
2022-07-04 11:29:55	ga_ls8c_ard_3-2-1_111083_2022-07-04_final
2022-08-02 09:19:32	ga_ls8c_ard_3-2-1_090081_2022-08-01_final
2022-08-07 09:37:19	ga_ls8c_ard_3-2-1_093079_2022-08-07_final
2022-08-08 10:21:23	ga_ls8c_ard_3-2-1_100081_2022-08-08_final
2022-08-09 09:23:46	ga_ls8c_ard_3-2-1_091076_2022-08-08_final
2022-08-17 10:10:51	ga_ls8c_ard_3-2-1_099070_2022-08-17_final
2022-08-25 11:02:42	ga_ls8c_ard_3-2-1_107076_2022-08-25_final
2022-08-26 11:45:10	ga_ls8c_ard_3-2-1_114074_2022-08-26_final
2022-09-01 11:11:40	ga_ls8c_ard_3-2-1_108083_2022-09-01_final
2022-09-26 11:00:49	ga_ls8c_ard_3-2-1_107071_2022-09-26_final
2022-11-18 11:19:13	ga_ls8c_ard_3-2-1_110071_2022-11-18_final
2022-11-19 10:28:00	ga_ls8c_ard_3-2-1_101082_2022-11-19_final
2022-11-24 09:07:17	ga_ls8c_ard_3-2-1_088081_2022-11-23_final
2022-11-27 09:38:35	ga_ls8c_ard_3-2-1_093082_2022-11-27_final
2022-12-08 10:55:20	ga_ls8c_ard_3-2-1_106073_2022-12-08_final
2022-12-13 09:35:21	ga_ls8c_ard_3-2-1_093074_2022-12-13_final
2023-01-09 09:21:53	ga_ls8c_ard_3-2-1_090087_2023-01-08_final
2023-02-24 11:11:13	ga_ls8c_ard_3-2-1_108083_2023-02-24_final
2023-03-11 10:23:52	ga_ls8c_ard_3-2-1_101073_2023-03-11_final
2023-03-20 11:58:05	ga_ls8c_ard_3-2-1_116077_2023-03-20_final
2023-04-07 10:07:48	ga_ls8c_ard_3-2-1_098080_2023-04-07_final
2023-05-06 11:17:08	ga_ls8c_ard_3-2-1_109084_2023-05-06_final
2023-05-10 09:15:27	ga_ls8c_ard_3-2-1_089089_2023-05-09_final
2023-05-23 10:17:24	ga_ls8c_ard_3-2-1_100074_2023-05-23_final
2023-06-14 11:22:33	ga_ls8c_ard_3-2-1_110082_2023-06-14_final
2023-07-08 10:30:32	ga_ls8c_ard_3-2-1_102075_2023-07-08_final
2023-07-27 09:21:28	ga_ls8c_ard_3-2-1_091072_2023-07-26_final
2023-09-18 11:19:11	ga_ls8c_ard_3-2-1_110072_2023-09-18_final
2023-09-24 09:06:49	ga_ls8c_ard_3-2-1_088081_2023-09-23_final
2023-10-06 09:32:46	ga_ls8c_ard_3-2-1_092084_2023-10-06_final
2023-10-24 10:54:34	ga_ls8c_ard_3-2-1_106072_2023-10-24_final
2023-10-25 09:58:33	ga_ls8c_ard_3-2-1_097071_2023-10-25_final
2023-11-06 10:26:04	ga_ls8c_ard_3-2-1_101078_2023-11-06_final
2023-12-23 11:20:55	ga_ls8c_ard_3-2-1_110076_2023-12-23_final
2023-12-26 11:51:48	ga_ls8c_ard_3-2-1_115076_2023-12-26_final
2024-01-13 09:56:54	ga_ls8c_ard_3-2-1_097067_2024-01-13_final
2024-01-15 09:50:31	ga_ls8c_ard_3-2-1_095082_2024-01-15_final
2024-01-28 09:20:18	ga_ls8c_ard_3-2-1_090084_2024-01-27_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-07 11:35:58	ga_ls8c_ard_3-2-1_112083_2024-02-07_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