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

95 results

Time (local)	Label
2013-06-18 09:40:10	ga_ls8c_ard_3-0-0_094067_2013-06-18_final
2013-09-02 10:05:47	ga_ls8c_ard_3-0-0_098069_2013-09-02_final
2014-01-15 10:11:53	ga_ls8c_ard_3-0-0_099071_2014-01-15_final
2014-06-10 11:40:07	ga_ls8c_ard_3-0-0_113079_2014-06-10_final
2014-07-03 10:09:31	ga_ls8c_ard_3-0-0_098084_2014-07-03_final
2014-09-09 09:38:22	ga_ls8c_ard_3-0-0_094067_2014-09-09_final
2014-10-08 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-10-07_final
2014-12-12 11:31:56	ga_ls8c_ard_3-0-0_112073_2014-12-12_final
2015-01-18 10:10:44	ga_ls8c_ard_3-0-0_099071_2015-01-18_final
2015-03-20 09:37:48	ga_ls8c_ard_3-0-0_094067_2015-03-20_final
2015-05-17 10:18:19	ga_ls8c_ard_3-0-0_100077_2015-05-17_final
2015-05-21 11:29:43	ga_ls8c_ard_3-0-0_112070_2015-05-21_final
2015-05-29 10:45:05	ga_ls8c_ard_3-0-0_104082_2015-05-29_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2015-12-25 10:30:12	ga_ls8c_ard_3-0-0_102073_2015-12-25_final
2016-03-03 09:11:12	ga_ls8c_ard_3-0-0_089077_2016-03-02_final
2016-04-30 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-30_final
2016-05-01 10:28:28	ga_ls8c_ard_3-0-0_102070_2016-05-01_final
2016-05-09 09:37:48	ga_ls8c_ard_3-0-0_094067_2016-05-09_final
2016-05-18 09:38:48	ga_ls8c_ard_3-0-0_093085_2016-05-18_final
2016-08-04 09:52:01	ga_ls8c_ard_3-0-0_095086_2016-08-04_final
2016-09-05 11:24:18	ga_ls8c_ard_3-0-0_111069_2016-09-05_final
2016-09-30 09:38:27	ga_ls8c_ard_3-0-0_094067_2016-09-30_final
2016-11-04 10:13:52	ga_ls8c_ard_3-0-0_099078_2016-11-04_final
2016-11-30 09:11:39	ga_ls8c_ard_3-0-0_089077_2016-11-29_final
2017-01-08 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-01-08_final
2017-02-10 09:57:31	ga_ls8c_ard_3-0-0_097069_2017-02-10_final
2017-03-03 10:17:09	ga_ls8c_ard_3-0-0_100072_2017-03-03_final
2017-03-08 10:34:27	ga_ls8c_ard_3-0-0_103069_2017-03-08_final
2017-03-19 10:19:23	ga_ls8c_ard_3-0-0_100078_2017-03-19_final
2017-03-22 09:11:46	ga_ls8c_ard_3-0-0_089079_2017-03-21_final
2017-06-29 11:19:41	ga_ls8c_ard_3-0-0_110074_2017-06-29_final
2017-08-02 09:33:49	ga_ls8c_ard_3-0-0_092087_2017-08-02_final
2017-10-08 10:01:02	ga_ls8c_ard_3-0-0_097077_2017-10-08_final
2017-11-17 10:48:50	ga_ls8c_ard_3-0-0_105073_2017-11-17_final
2017-11-30 10:17:03	ga_ls8c_ard_3-0-0_100071_2017-11-30_final
2017-12-03 09:13:51	ga_ls8c_ard_3-0-0_089083_2017-12-02_final
2018-04-18 11:40:31	ga_ls8c_ard_3-0-0_113081_2018-04-18_final
2018-05-10 09:25:57	ga_ls8c_ard_3-0-0_091085_2018-05-09_final
2018-05-17 09:25:16	ga_ls8c_ard_3-0-0_092068_2018-05-16_final
2018-06-10 10:17:20	ga_ls8c_ard_3-0-0_100075_2018-06-10_final
2018-07-11 11:12:52	ga_ls8c_ard_3-0-0_109074_2018-07-11_final
2018-08-07 09:21:15	ga_ls8c_ard_3-0-0_090088_2018-08-06_final
2018-08-15 10:03:35	ga_ls8c_ard_3-0-0_098070_2018-08-15_final
2018-10-15 11:17:09	ga_ls8c_ard_3-0-0_109083_2018-10-15_final
2018-10-20 09:56:02	ga_ls8c_ard_3-0-0_096081_2018-10-20_final
2018-11-01 10:22:00	ga_ls8c_ard_3-0-0_100084_2018-11-01_final
2018-11-13 09:07:04	ga_ls8c_ard_3-0-0_088082_2018-11-12_final
2018-11-23 09:38:10	ga_ls8c_ard_3-0-0_094067_2018-11-23_final
2018-12-02 11:13:38	ga_ls8c_ard_3-0-0_109074_2018-12-02_final
2018-12-13 09:22:33	ga_ls8c_ard_3-0-0_090090_2018-12-12_final
2019-11-26 09:38:33	ga_ls8c_ard_3-1-0_094067_2019-11-26_final
2020-03-03 11:07:29	ga_ls8c_ard_3-1-0_108074_2020-03-03_final
2020-03-29 10:03:28	ga_ls8c_ard_3-1-0_098069_2020-03-29_final
2020-04-06 10:52:27	ga_ls8c_ard_3-1-0_106068_2020-04-06_final
2020-04-08 09:06:23	ga_ls8c_ard_3-1-0_088081_2020-04-07_final
2020-05-14 10:21:30	ga_ls8c_ard_3-1-0_100084_2020-05-14_final
2020-06-09 09:16:17	ga_ls8c_ard_3-1-0_090075_2020-06-08_final
2020-06-18 10:45:53	ga_ls8c_ard_3-1-0_105067_2020-06-18_final
2020-09-25 11:20:36	ga_ls8c_ard_3-1-0_110075_2020-09-25_final
2020-09-27 09:34:33	ga_ls8c_ard_3-1-0_092088_2020-09-27_final
2020-10-09 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-10-09_final
2020-11-15 10:11:00	ga_ls8c_ard_3-1-0_099071_2020-11-15_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2021-01-11 11:46:02	ga_ls8c_ard_3-2-0_114077_2021-01-11_final
2021-02-27 09:21:41	ga_ls8c_ard_3-2-0_091072_2021-02-26_final
2021-05-07 09:37:43	ga_ls8c_ard_3-2-0_094067_2021-05-07_final
2021-07-01 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-07-01_final
2021-10-05 09:52:22	ga_ls8c_ard_3-2-0_095086_2021-10-05_final
2021-12-11 10:22:03	ga_ls8c_ard_3-2-1_100083_2021-12-11_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-02-04 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-02-04_final
2022-03-14 09:46:45	ga_ls8c_ard_3-2-1_095073_2022-03-14_final
2022-04-13 10:03:47	ga_ls8c_ard_3-2-1_097085_2022-04-13_final
2022-05-11 10:22:59	ga_ls8c_ard_3-2-1_101071_2022-05-11_final
2022-06-09 11:34:46	ga_ls8c_ard_3-2-1_112080_2022-06-09_final
2022-07-16 10:09:21	ga_ls8c_ard_3-2-1_099067_2022-07-16_final
2022-08-05 11:24:33	ga_ls8c_ard_3-2-1_111069_2022-08-05_final
2022-08-24 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-08-24_final
2022-09-24 11:14:46	ga_ls8c_ard_3-2-1_109075_2022-09-24_final
2022-10-04 10:09:45	ga_ls8c_ard_3-2-1_099067_2022-10-04_final
2022-10-13 10:03:27	ga_ls8c_ard_3-2-1_098067_2022-10-13_final
2022-10-22 09:57:45	ga_ls8c_ard_3-2-1_097068_2022-10-22_final
2022-12-26 10:40:50	ga_ls8c_ard_3-2-1_104068_2022-12-26_final
2023-03-11 10:23:04	ga_ls8c_ard_3-2-1_101071_2023-03-11_final
2023-04-07 10:02:36	ga_ls8c_ard_3-2-1_098067_2023-04-07_final
2023-07-03 10:08:46	ga_ls8c_ard_3-2-1_099067_2023-07-03_final
2023-08-14 09:13:37	ga_ls8c_ard_3-2-1_089083_2023-08-13_final
2023-10-23 10:09:18	ga_ls8c_ard_3-2-1_099067_2023-10-23_final
2024-02-29 10:52:47	ga_ls8c_ard_3-2-1_106068_2024-02-29_final
2024-03-05 09:33:33	ga_ls8c_ard_3-2-1_093071_2024-03-05_final
2024-03-12 11:21:21	ga_ls8c_ard_3-2-1_110078_2024-03-12_final
2024-03-16 09:19:19	ga_ls8c_ard_3-2-1_090082_2024-03-15_final
2024-03-30 11:07:33	ga_ls8c_ard_3-2-1_108075_2024-03-30_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