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
2013-08-05 11:19:07	ga_ls8c_ard_3-0-0_110067_2013-08-05_final
2014-04-01 10:34:28	ga_ls8c_ard_3-0-0_103068_2014-04-01_final
2014-04-02 11:17:19	ga_ls8c_ard_3-0-0_110067_2014-04-02_final
2014-04-06 10:53:45	ga_ls8c_ard_3-0-0_106070_2014-04-06_final
2014-04-22 10:52:41	ga_ls8c_ard_3-0-0_106068_2014-04-22_final
2014-05-23 10:13:25	ga_ls8c_ard_3-0-0_099079_2014-05-23_final
2014-09-17 10:33:23	ga_ls8c_ard_3-0-0_102081_2014-09-17_final
2014-11-26 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-11-26_final
2015-05-27 10:51:52	ga_ls8c_ard_3-0-0_106068_2015-05-27_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-08-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2015-08-18_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-07-28 11:20:19	ga_ls8c_ard_3-0-0_110075_2016-07-28_final
2016-08-17 10:58:51	ga_ls8c_ard_3-0-0_106083_2016-08-17_final
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2017-01-15 11:00:20	ga_ls8c_ard_3-0-0_107071_2017-01-15_final
2017-01-19 10:35:59	ga_ls8c_ard_3-0-0_103072_2017-01-19_final
2017-02-08 11:52:23	ga_ls8c_ard_3-0-0_115078_2017-02-08_final
2017-03-01 10:33:07	ga_ls8c_ard_3-0-0_102081_2017-03-01_final
2017-04-19 11:11:09	ga_ls8c_ard_3-0-0_109069_2017-04-19_final
2017-07-29 11:32:12	ga_ls8c_ard_3-0-0_112074_2017-07-29_final
2017-11-13 11:11:59	ga_ls8c_ard_3-0-0_109069_2017-11-13_final
2018-05-24 11:13:25	ga_ls8c_ard_3-0-0_109076_2018-05-24_final
2018-08-12 11:13:56	ga_ls8c_ard_3-0-0_109076_2018-08-12_final
2018-09-30 10:19:26	ga_ls8c_ard_3-0-0_100078_2018-09-30_final
2018-10-23 10:27:21	ga_ls8c_ard_3-0-0_101082_2018-10-23_final
2018-11-14 11:24:49	ga_ls8c_ard_3-0-0_111071_2018-11-14_final
2019-01-27 10:27:16	ga_ls8c_ard_3-0-0_101082_2019-01-27_final
2019-01-30 10:55:21	ga_ls8c_ard_3-0-0_106075_2019-01-30_final
2019-03-14 10:35:27	ga_ls8c_ard_3-1-0_103072_2019-03-14_final
2019-04-16 11:17:22	ga_ls8c_ard_3-1-0_110069_2019-04-16_final
2019-06-21 11:08:12	ga_ls8c_ard_3-1-0_108076_2019-06-21_final
2019-06-22 10:13:47	ga_ls8c_ard_3-1-0_099079_2019-06-22_final
2019-07-05 11:19:49	ga_ls8c_ard_3-1-0_110074_2019-07-05_final
2019-08-04 11:30:21	ga_ls8c_ard_3-1-0_112069_2019-08-04_final
2019-08-17 10:59:55	ga_ls8c_ard_3-1-0_107070_2019-08-17_final
2019-08-19 10:49:09	ga_ls8c_ard_3-1-0_105074_2019-08-19_final
2019-10-23 11:31:52	ga_ls8c_ard_3-1-0_112072_2019-10-23_final
2020-01-05 10:30:16	ga_ls8c_ard_3-1-0_102073_2020-01-05_final
2020-01-07 10:17:06	ga_ls8c_ard_3-1-0_100071_2020-01-07_final
2020-02-02 10:55:40	ga_ls8c_ard_3-1-0_106075_2020-02-02_final
2020-08-10 09:28:38	ga_ls8c_ard_3-1-0_092074_2020-08-09_final
2020-08-22 11:34:44	ga_ls8c_ard_3-1-0_112080_2020-08-22_final
2020-09-04 10:59:57	ga_ls8c_ard_3-1-0_107070_2020-09-04_final
2020-10-04 11:17:14	ga_ls8c_ard_3-1-0_109082_2020-10-04_final
2020-12-16 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-12-16_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-02-02 09:27:59	ga_ls8c_ard_3-2-0_092072_2021-02-01_final
2021-04-12 11:23:24	ga_ls8c_ard_3-2-0_111068_2021-04-12_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-15 11:57:05	ga_ls8c_ard_3-2-0_116075_2021-04-15_final
2021-04-15 11:57:29	ga_ls8c_ard_3-2-0_116076_2021-04-15_final
2021-07-13 10:08:38	ga_ls8c_ard_3-2-1_099066_2021-07-13_final
2021-07-13 10:15:01	ga_ls8c_ard_3-2-0_099082_2021-07-13_final
2021-07-13 11:52:19	ga_ls8c_ard_3-2-0_115078_2021-07-13_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-08 10:07:36	ga_ls8c_ard_3-2-0_098078_2021-09-08_final
2021-10-24 10:20:08	ga_ls8c_ard_3-2-0_100078_2021-10-24_final
2021-12-08 11:24:27	ga_ls8c_ard_3-2-1_111069_2021-12-08_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-01-15 10:47:38	ga_ls8c_ard_3-2-1_105070_2022-01-15_final
2022-01-22 09:23:16	ga_ls8c_ard_3-2-1_090091_2022-01-21_final
2022-01-22 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-01-22_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-04-10 09:34:51	ga_ls8c_ard_3-2-1_092090_2022-04-10_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-30 09:20:39	ga_ls8c_ard_3-2-1_090085_2022-05-29_final
2022-06-04 11:14:34	ga_ls8c_ard_3-2-1_109076_2022-06-04_final
2022-06-20 11:14:44	ga_ls8c_ard_3-2-1_109076_2022-06-20_final
2022-06-22 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-06-21_final
2022-07-19 10:46:17	ga_ls8c_ard_3-2-1_104082_2022-07-19_final
2022-07-24 09:23:13	ga_ls8c_ard_3-2-1_091075_2022-07-23_final
2022-09-09 10:20:17	ga_ls8c_ard_3-2-1_100078_2022-09-09_final
2022-10-27 10:17:32	ga_ls8c_ard_3-2-1_100071_2022-10-27_final
2022-12-13 09:40:56	ga_ls8c_ard_3-2-1_093088_2022-12-13_final
2022-12-15 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-12-14_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2023-02-14 10:29:33	ga_ls8c_ard_3-2-1_102071_2023-02-14_final
2023-02-28 09:07:11	ga_ls8c_ard_3-2-1_088082_2023-02-27_final
2023-03-01 11:25:21	ga_ls8c_ard_3-2-1_111072_2023-03-01_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-05-08 09:26:39	ga_ls8c_ard_3-2-1_091086_2023-05-07_final
2023-05-16 10:13:11	ga_ls8c_ard_3-2-1_099079_2023-05-16_final
2023-05-22 11:13:25	ga_ls8c_ard_3-2-1_109075_2023-05-22_final
2023-06-04 09:06:52	ga_ls8c_ard_3-2-1_088083_2023-06-03_final
2023-07-03 10:08:22	ga_ls8c_ard_3-2-1_099066_2023-07-03_final
2023-08-02 10:27:19	ga_ls8c_ard_3-2-1_101082_2023-08-02_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-10-15 09:22:39	ga_ls8c_ard_3-2-1_091074_2023-10-14_final
2023-11-14 11:14:18	ga_ls8c_ard_3-2-1_109075_2023-11-14_final
2023-12-04 10:52:20	ga_ls8c_ard_3-2-1_105082_2023-12-04_final
2023-12-15 10:33:27	ga_ls8c_ard_3-2-1_102081_2023-12-15_final
2024-01-11 10:08:51	ga_ls8c_ard_3-2-1_099066_2024-01-11_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_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