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
2013-06-13 11:01:46	ga_ls8c_ard_3-0-0_107070_2013-06-13_final
2013-09-03 10:51:27	ga_ls8c_ard_3-0-0_105075_2013-09-03_final
2014-01-08 11:47:55	ga_ls8c_ard_3-0-0_114079_2014-01-08_final
2014-08-24 11:20:23	ga_ls8c_ard_3-0-0_110075_2014-08-24_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-10-30 11:18:01	ga_ls8c_ard_3-0-0_110069_2015-10-30_final
2016-01-25 11:25:46	ga_ls8c_ard_3-0-0_111073_2016-01-25_final
2016-02-12 11:12:30	ga_ls8c_ard_3-0-0_109071_2016-02-12_final
2016-04-14 11:25:17	ga_ls8c_ard_3-0-0_111073_2016-04-14_final
2016-09-23 11:14:45	ga_ls8c_ard_3-0-0_109076_2016-09-23_final
2016-10-02 11:11:23	ga_ls8c_ard_3-0-0_108083_2016-10-02_final
2016-11-10 11:18:02	ga_ls8c_ard_3-0-0_109084_2016-11-10_final
2016-11-24 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-11-24_final
2016-12-19 11:19:45	ga_ls8c_ard_3-0-0_110073_2016-12-19_final
2017-01-11 11:24:40	ga_ls8c_ard_3-0-0_111070_2017-01-11_final
2017-02-10 11:38:24	ga_ls8c_ard_3-0-0_113074_2017-02-10_final
2017-02-14 11:17:39	ga_ls8c_ard_3-0-0_109084_2017-02-14_final
2017-02-25 10:54:40	ga_ls8c_ard_3-1-0_106073_2017-02-25_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-04-08 11:30:59	ga_ls8c_ard_3-0-0_112072_2017-04-08_final
2017-04-14 10:52:39	ga_ls8c_ard_3-0-0_106069_2017-04-14_final
2017-05-21 11:13:13	ga_ls8c_ard_3-0-0_109074_2017-05-21_final
2017-08-14 11:35:30	ga_ls8c_ard_3-0-0_112082_2017-08-14_final
2017-09-29 11:46:03	ga_ls8c_ard_3-0-0_114077_2017-09-29_final
2017-09-30 10:49:14	ga_ls8c_ard_3-0-0_105074_2017-09-30_final
2017-10-01 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-10-01_final
2018-01-10 11:52:06	ga_ls8c_ard_3-0-0_115077_2018-01-10_final
2018-10-03 10:49:33	ga_ls8c_ard_3-0-0_105076_2018-10-03_final
2018-12-14 11:38:43	ga_ls8c_ard_3-0-0_113075_2018-12-14_final
2019-01-03 11:14:24	ga_ls8c_ard_3-0-0_109076_2019-01-03_final
2019-03-10 11:00:12	ga_ls8c_ard_3-1-0_107072_2019-03-10_final
2019-04-11 11:02:03	ga_ls8c_ard_3-1-0_107077_2019-04-11_final
2019-04-16 11:23:21	ga_ls8c_ard_3-1-0_110084_2019-04-16_final
2019-05-07 11:35:08	ga_ls8c_ard_3-0-0_113067_2019-05-07_final
2019-07-25 10:52:47	ga_ls8c_ard_3-1-0_106068_2019-07-25_final
2019-10-28 11:51:36	ga_ls8c_ard_3-1-0_115075_2019-10-28_final
2019-12-14 09:32:09	ga_ls8c_ard_3-2-0_092082_2019-12-14_final
2019-12-24 11:42:06	ga_ls8c_ard_3-1-0_114067_2019-12-24_final
2020-03-26 11:17:28	ga_ls8c_ard_3-1-0_109084_2020-03-26_final
2020-04-30 11:46:30	ga_ls8c_ard_3-1-0_114080_2020-04-30_final
2020-05-24 10:55:26	ga_ls8c_ard_3-1-0_106076_2020-05-24_final
2020-06-05 11:16:39	ga_ls8c_ard_3-1-0_110067_2020-06-05_final
2020-09-13 10:53:01	ga_ls8c_ard_3-1-0_106068_2020-09-13_final
2020-10-15 10:55:55	ga_ls8c_ard_3-1-0_106075_2020-10-15_final
2021-01-02 10:11:24	ga_ls8c_ard_3-2-0_099072_2021-01-02_final
2021-01-15 09:40:48	ga_ls8c_ard_3-2-0_094073_2021-01-15_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-03-09 09:57:29	ga_ls8c_ard_3-2-0_097069_2021-03-09_final
2021-03-10 09:06:38	ga_ls8c_ard_3-2-0_088081_2021-03-09_final
2021-05-14 11:26:27	ga_ls8c_ard_3-2-0_111076_2021-05-14_final
2021-05-23 11:19:10	ga_ls8c_ard_3-2-0_110073_2021-05-23_final
2021-06-12 09:20:31	ga_ls8c_ard_3-2-0_090085_2021-06-11_final
2021-08-01 10:46:04	ga_ls8c_ard_3-2-0_104082_2021-08-01_final
2021-08-09 09:58:17	ga_ls8c_ard_3-2-0_096086_2021-08-09_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-10-18 09:22:43	ga_ls8c_ard_3-2-0_090089_2021-10-17_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-20 11:37:59	ga_ls8c_ard_3-2-0_113072_2021-11-20_final
2021-11-28 10:52:33	ga_ls8c_ard_3-2-0_105082_2021-11-28_final
2022-01-19 10:23:17	ga_ls8c_ard_3-2-1_101071_2022-01-19_final
2022-02-08 10:04:04	ga_ls8c_ard_3-2-1_097085_2022-02-08_final
2022-02-18 10:34:18	ga_ls8c_ard_3-2-1_103068_2022-02-18_final
2022-02-19 11:21:08	ga_ls8c_ard_3-2-1_110077_2022-02-19_final
2022-03-11 10:52:46	ga_ls8c_ard_3-2-1_106068_2022-03-11_final
2022-03-21 11:31:20	ga_ls8c_ard_3-2-1_112072_2022-03-21_final
2022-04-12 09:17:19	ga_ls8c_ard_3-2-1_090077_2022-04-11_final
2022-04-20 10:06:46	ga_ls8c_ard_3-2-1_098077_2022-04-20_final
2022-04-21 09:11:08	ga_ls8c_ard_3-2-1_089077_2022-04-20_final
2022-04-27 10:08:54	ga_ls8c_ard_3-2-1_099067_2022-04-27_final
2022-05-23 09:14:51	ga_ls8c_ard_3-2-1_089086_2022-05-22_final
2022-06-02 11:26:06	ga_ls8c_ard_3-2-1_111074_2022-06-02_final
2022-08-02 10:56:25	ga_ls8c_ard_3-2-1_106076_2022-08-02_final
2022-08-21 09:52:32	ga_ls8c_ard_3-2-1_095086_2022-08-21_final
2022-08-27 10:50:20	ga_ls8c_ard_3-2-1_105076_2022-08-27_final
2022-10-09 10:29:26	ga_ls8c_ard_3-2-1_102070_2022-10-09_final
2022-10-19 09:33:13	ga_ls8c_ard_3-2-1_092084_2022-10-19_final
2022-10-27 10:17:32	ga_ls8c_ard_3-2-1_100071_2022-10-27_final
2022-11-06 09:22:08	ga_ls8c_ard_3-2-1_090087_2022-11-05_final
2022-12-28 10:31:40	ga_ls8c_ard_3-2-1_102076_2022-12-28_final
2023-01-13 10:30:25	ga_ls8c_ard_3-2-1_102073_2023-01-13_final
2023-04-08 10:47:02	ga_ls8c_ard_3-2-1_105070_2023-04-08_final
2023-05-02 10:03:25	ga_ls8c_ard_3-2-1_097085_2023-05-02_final
2023-05-14 10:22:22	ga_ls8c_ard_3-2-1_101071_2023-05-14_final
2023-05-20 11:25:22	ga_ls8c_ard_3-2-1_111074_2023-05-20_final
2023-06-18 10:52:39	ga_ls8c_ard_3-2-1_106069_2023-06-18_final
2023-07-04 10:55:37	ga_ls8c_ard_3-2-1_106076_2023-07-04_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-10-13 09:40:36	ga_ls8c_ard_3-2-1_093088_2023-10-13_final
2023-10-17 10:49:10	ga_ls8c_ard_3-2-1_105074_2023-10-17_final
2023-10-30 10:19:07	ga_ls8c_ard_3-2-1_100076_2023-10-30_final
2023-11-08 10:10:05	ga_ls8c_ard_3-2-1_099069_2023-11-08_final
2023-11-14 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-11-14_final
2023-11-18 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-17_final
2023-11-20 10:40:04	ga_ls8c_ard_3-2-1_103082_2023-11-20_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-11-30 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-11-30_final
2023-12-29 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-28_final
2024-01-07 10:34:20	ga_ls8c_ard_3-2-1_103068_2024-01-07_final
2024-02-04 11:01:51	ga_ls8c_ard_3-2-1_107075_2024-02-04_final
2024-03-12 09:45:16	ga_ls8c_ard_3-2-1_094085_2024-03-12_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