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

98 results

Time (local)	Label
2013-08-12 09:46:25	ga_ls8c_ard_3-0-0_095067_2013-08-12_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-12-19 10:29:56	ga_ls8c_ard_3-0-0_102069_2013-12-19_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-08-17 09:37:18	ga_ls8c_ard_3-0-0_093080_2014-08-17_final
2014-09-16 11:25:25	ga_ls8c_ard_3-0-0_111072_2014-09-16_final
2014-09-30 11:38:36	ga_ls8c_ard_3-0-0_113074_2014-09-30_final
2014-10-06 09:22:16	ga_ls8c_ard_3-0-0_091073_2014-10-05_final
2014-10-13 09:26:29	ga_ls8c_ard_3-0-0_092068_2014-10-12_final
2014-12-24 10:17:01	ga_ls8c_ard_3-0-0_100071_2014-12-24_final
2014-12-30 09:40:16	ga_ls8c_ard_3-0-0_094072_2014-12-30_final
2015-03-13 09:34:26	ga_ls8c_ard_3-0-0_093074_2015-03-13_final
2015-08-15 09:21:36	ga_ls8c_ard_3-0-0_090088_2015-08-14_final
2015-12-14 09:10:39	ga_ls8c_ard_3-0-0_089075_2015-12-13_final
2016-02-12 09:34:25	ga_ls8c_ard_3-0-0_093073_2016-02-12_final
2016-03-30 10:32:56	ga_ls8c_ard_3-0-0_102081_2016-03-30_final
2016-04-23 11:16:38	ga_ls8c_ard_3-0-0_110067_2016-04-23_final
2016-07-08 11:46:32	ga_ls8c_ard_3-0-0_114079_2016-07-08_final
2016-07-19 11:28:51	ga_ls8c_ard_3-0-0_111081_2016-07-19_final
2016-07-31 10:10:44	ga_ls8c_ard_3-0-0_099071_2016-07-31_final
2016-08-09 10:04:11	ga_ls8c_ard_3-0-0_098070_2016-08-09_final
2016-08-28 10:39:12	ga_ls8c_ard_3-0-0_103080_2016-08-28_final
2016-09-16 09:32:53	ga_ls8c_ard_3-0-0_092084_2016-09-16_final
2016-10-12 10:04:04	ga_ls8c_ard_3-0-0_098069_2016-10-12_final
2017-03-02 09:33:53	ga_ls8c_ard_3-0-0_093072_2017-03-02_final
2017-03-13 10:57:19	ga_ls8c_ard_3-0-0_106080_2017-03-13_final
2017-04-11 10:25:22	ga_ls8c_ard_3-0-0_101078_2017-04-11_final
2017-06-04 11:22:55	ga_ls8c_ard_3-0-0_111067_2017-06-04_final
2017-06-27 09:50:21	ga_ls8c_ard_3-0-0_096067_2017-06-27_final
2017-08-09 11:14:08	ga_ls8c_ard_3-0-0_109075_2017-08-09_final
2017-09-22 09:56:56	ga_ls8c_ard_3-0-0_097067_2017-09-22_final
2017-10-23 09:21:00	ga_ls8c_ard_3-0-0_090085_2017-10-22_final
2017-11-17 09:13:57	ga_ls8c_ard_3-0-0_089083_2017-11-16_final
2018-01-12 11:38:31	ga_ls8c_ard_3-0-0_113074_2018-01-12_final
2018-02-07 10:37:41	ga_ls8c_ard_3-0-0_103077_2018-02-07_final
2018-03-26 09:57:16	ga_ls8c_ard_3-0-0_096085_2018-03-26_final
2018-04-08 11:00:21	ga_ls8c_ard_3-0-0_107073_2018-04-08_final
2018-07-04 11:05:02	ga_ls8c_ard_3-0-0_108070_2018-07-04_final
2018-09-13 09:31:40	ga_ls8c_ard_3-0-0_093067_2018-09-13_final
2018-12-23 11:34:32	ga_ls8c_ard_3-0-0_112080_2018-12-23_final
2019-01-23 09:09:55	ga_ls8c_ard_3-0-0_089074_2019-01-22_final
2019-02-26 10:34:21	ga_ls8c_ard_3-0-0_103069_2019-02-26_final
2019-03-28 10:48:34	ga_ls8c_ard_3-1-0_105074_2019-03-28_final
2019-05-12 11:58:07	ga_ls8c_ard_3-0-0_116078_2019-05-12_final
2019-05-13 09:23:14	ga_ls8c_ard_3-0-0_091077_2019-05-12_final
2019-05-31 10:48:43	ga_ls8c_ard_3-0-0_105074_2019-05-31_final
2019-06-02 10:35:35	ga_ls8c_ard_3-0-0_103072_2019-06-02_final
2019-06-18 10:35:41	ga_ls8c_ard_3-1-0_103072_2019-06-18_final
2019-06-22 11:50:40	ga_ls8c_ard_3-1-0_115074_2019-06-22_final
2019-06-26 11:23:58	ga_ls8c_ard_3-1-0_111069_2019-06-26_final
2019-08-01 09:28:07	ga_ls8c_ard_3-1-0_091088_2019-07-31_final
2019-08-27 09:58:09	ga_ls8c_ard_3-1-0_097070_2019-08-27_final
2019-10-26 10:24:41	ga_ls8c_ard_3-1-0_101074_2019-10-26_final
2020-01-21 10:29:25	ga_ls8c_ard_3-1-0_102071_2020-01-21_final
2020-02-26 10:03:44	ga_ls8c_ard_3-1-0_098069_2020-02-26_final
2020-04-15 09:11:43	ga_ls8c_ard_3-1-0_089079_2020-04-14_final
2020-05-22 09:28:30	ga_ls8c_ard_3-1-0_092075_2020-05-21_final
2020-07-21 09:52:53	ga_ls8c_ard_3-1-0_096073_2020-07-21_final
2020-09-06 10:48:24	ga_ls8c_ard_3-1-0_105072_2020-09-06_final
2020-11-24 11:45:21	ga_ls8c_ard_3-1-0_114075_2020-11-24_final
2020-12-28 11:31:46	ga_ls8c_ard_3-2-0_112072_2020-12-28_final
2021-02-05 10:03:40	ga_ls8c_ard_3-2-0_097084_2021-02-05_final
2021-02-14 11:32:21	ga_ls8c_ard_3-2-0_112074_2021-02-14_final
2021-02-25 09:34:27	ga_ls8c_ard_3-2-0_093073_2021-02-25_final
2021-04-23 09:25:54	ga_ls8c_ard_3-2-0_092068_2021-04-22_final
2021-05-16 09:40:01	ga_ls8c_ard_3-2-0_093088_2021-05-16_final
2021-05-18 11:04:34	ga_ls8c_ard_3-2-0_107083_2021-05-18_final
2021-06-02 10:21:51	ga_ls8c_ard_3-2-0_100084_2021-06-02_final
2021-07-27 10:25:30	ga_ls8c_ard_3-2-0_101077_2021-07-27_final
2021-08-22 09:20:16	ga_ls8c_ard_3-2-0_091068_2021-08-21_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-19 09:17:26	ga_ls8c_ard_3-2-0_090076_2021-11-18_final
2021-12-10 09:40:47	ga_ls8c_ard_3-2-1_093088_2021-12-10_final
2022-02-01 11:36:24	ga_ls8c_ard_3-2-1_112084_2022-02-01_final
2022-04-08 09:39:37	ga_ls8c_ard_3-2-1_094071_2022-04-08_final
2022-05-22 11:47:22	ga_ls8c_ard_3-2-1_114081_2022-05-22_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-08 10:52:17	ga_ls8c_ard_3-2-1_105082_2022-06-08_final
2022-07-01 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-06-30_final
2022-07-02 11:37:54	ga_ls8c_ard_3-2-1_113072_2022-07-02_final
2022-10-09 10:29:26	ga_ls8c_ard_3-2-1_102070_2022-10-09_final
2022-10-11 11:58:43	ga_ls8c_ard_3-2-1_116077_2022-10-11_final
2022-11-11 11:17:31	ga_ls8c_ard_3-2-1_109082_2022-11-11_final
2022-12-31 09:22:54	ga_ls8c_ard_3-2-1_091074_2022-12-30_final
2023-01-25 09:21:03	ga_ls8c_ard_3-2-1_090085_2023-01-24_final
2023-03-15 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-03-15_final
2023-04-04 09:36:10	ga_ls8c_ard_3-2-1_093078_2023-04-04_final
2023-04-09 11:35:28	ga_ls8c_ard_3-2-1_112083_2023-04-09_final
2023-05-24 09:27:22	ga_ls8c_ard_3-2-1_091088_2023-05-23_final
2023-08-05 10:54:39	ga_ls8c_ard_3-2-1_106073_2023-08-05_final
2023-08-20 10:08:42	ga_ls8c_ard_3-2-1_099066_2023-08-20_final
2023-09-27 09:38:57	ga_ls8c_ard_3-2-1_093084_2023-09-27_final
2023-10-15 11:00:44	ga_ls8c_ard_3-2-1_107072_2023-10-15_final
2023-10-18 09:58:19	ga_ls8c_ard_3-2-1_096086_2023-10-18_final
2023-12-11 10:54:08	ga_ls8c_ard_3-2-1_106071_2023-12-11_final
2023-12-25 09:28:52	ga_ls8c_ard_3-2-1_092074_2023-12-24_final
2024-03-22 10:20:14	ga_ls8c_ard_3-2-1_100080_2024-03-22_nrt
2024-04-12 10:35:25	ga_ls8c_ard_3-2-1_103072_2024-04-12_nrt

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