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
2014-06-26 11:42:09	ga_ls8c_ard_3-0-0_113084_2014-06-26_final
2014-09-16 11:25:49	ga_ls8c_ard_3-0-0_111073_2014-09-16_final
2015-11-06 11:25:00	ga_ls8c_ard_3-0-0_111071_2015-11-06_final
2016-02-15 11:41:46	ga_ls8c_ard_3-0-0_114067_2016-02-15_final
2016-06-15 11:38:08	ga_ls8c_ard_3-0-0_113074_2016-06-15_final
2016-06-24 11:34:50	ga_ls8c_ard_3-0-0_112081_2016-06-24_final
2016-09-05 11:24:42	ga_ls8c_ard_3-0-0_111070_2016-09-05_final
2016-09-12 11:32:06	ga_ls8c_ard_3-0-0_112073_2016-09-12_final
2016-09-14 11:19:20	ga_ls8c_ard_3-0-0_110072_2016-09-14_final
2016-09-26 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-09-26_final
2017-01-04 11:19:19	ga_ls8c_ard_3-0-0_110072_2017-01-04_final
2017-01-07 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-01-07_final
2017-01-18 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-01-18_final
2017-11-30 11:58:44	ga_ls8c_ard_3-0-0_116078_2017-11-30_final
2017-12-04 11:30:49	ga_ls8c_ard_3-0-0_112070_2017-12-04_final
2018-01-07 11:19:13	ga_ls8c_ard_3-0-0_110072_2018-01-07_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-08-08 11:41:24	ga_ls8c_ard_3-0-0_113083_2018-08-08_final
2018-12-09 11:23:47	ga_ls8c_ard_3-0-0_110084_2018-12-09_final
2019-05-16 11:30:15	ga_ls8c_ard_3-0-0_112070_2019-05-16_final
2019-06-03 11:20:03	ga_ls8c_ard_3-0-0_110075_2019-06-03_final
2019-06-26 11:24:22	ga_ls8c_ard_3-1-0_111070_2019-06-26_final
2019-09-23 11:24:13	ga_ls8c_ard_3-1-0_110084_2019-09-23_final
2019-11-17 11:25:38	ga_ls8c_ard_3-1-0_111072_2019-11-17_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2020-04-16 11:31:04	ga_ls8c_ard_3-1-0_112072_2020-04-16_final
2020-05-04 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-04_final
2020-07-19 11:45:19	ga_ls8c_ard_3-1-0_114076_2020-07-19_final
2020-10-25 11:31:00	ga_ls8c_ard_3-1-0_112070_2020-10-25_final
2020-11-10 09:52:04	ga_ls8c_ard_3-1-0_096070_2020-11-10_final
2020-12-09 09:20:26	ga_ls8c_ard_3-1-0_091068_2020-12-08_final
2020-12-27 10:47:43	ga_ls8c_ard_3-2-0_105070_2020-12-27_final
2021-01-02 11:51:29	ga_ls8c_ard_3-2-0_115075_2021-01-02_final
2021-02-03 10:14:26	ga_ls8c_ard_3-2-0_099080_2021-02-03_final
2021-02-14 09:53:28	ga_ls8c_ard_3-2-0_096074_2021-02-14_final
2021-02-14 09:58:15	ga_ls8c_ard_3-2-0_096086_2021-02-14_final
2021-03-16 10:09:34	ga_ls8c_ard_3-2-0_098084_2021-03-16_final
2021-04-16 09:26:33	ga_ls8c_ard_3-2-0_091085_2021-04-15_final
2021-05-14 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-05-14_final
2021-05-14 11:29:39	ga_ls8c_ard_3-2-0_111084_2021-05-14_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-27 10:52:53	ga_ls8c_ard_3-2-0_106069_2021-05-27_final
2021-06-05 10:49:11	ga_ls8c_ard_3-2-0_105075_2021-06-05_final
2021-07-01 09:51:05	ga_ls8c_ard_3-2-0_095084_2021-07-01_final
2021-07-10 09:45:43	ga_ls8c_ard_3-2-0_094086_2021-07-10_final
2021-08-15 09:22:26	ga_ls8c_ard_3-2-0_090089_2021-08-14_final
2021-08-24 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-08-23_final
2021-08-30 10:14:32	ga_ls8c_ard_3-2-0_099080_2021-08-30_final
2021-09-14 09:28:56	ga_ls8c_ard_3-2-0_092074_2021-09-13_final
2021-09-23 11:00:04	ga_ls8c_ard_3-2-0_107070_2021-09-23_final
2021-10-09 09:28:28	ga_ls8c_ard_3-2-0_091088_2021-10-08_final
2021-10-17 11:52:50	ga_ls8c_ard_3-2-0_115078_2021-10-17_final
2021-10-28 09:57:00	ga_ls8c_ard_3-2-0_096082_2021-10-28_final
2021-11-17 11:07:53	ga_ls8c_ard_3-2-0_108074_2021-11-17_final
2021-12-26 11:12:49	ga_ls8c_ard_3-2-1_109071_2021-12-26_final
2022-01-15 09:13:56	ga_ls8c_ard_3-2-1_089083_2022-01-14_final
2022-01-19 10:25:17	ga_ls8c_ard_3-2-1_101076_2022-01-19_final
2022-02-07 10:58:54	ga_ls8c_ard_3-2-1_106083_2022-02-07_final
2022-02-17 11:36:19	ga_ls8c_ard_3-2-1_112084_2022-02-17_final
2022-02-19 11:23:08	ga_ls8c_ard_3-2-1_110082_2022-02-19_final
2022-02-23 10:55:13	ga_ls8c_ard_3-2-1_106074_2022-02-23_final
2022-03-02 09:28:53	ga_ls8c_ard_3-2-1_091090_2022-03-01_final
2022-03-03 10:04:57	ga_ls8c_ard_3-2-1_098072_2022-03-03_final
2022-04-05 10:49:10	ga_ls8c_ard_3-2-1_105075_2022-04-05_final
2022-04-19 09:22:18	ga_ls8c_ard_3-2-1_091074_2022-04-18_final
2022-04-21 10:49:37	ga_ls8c_ard_3-2-1_105076_2022-04-21_final
2022-04-27 10:13:41	ga_ls8c_ard_3-2-1_099079_2022-04-27_final
2022-05-05 11:03:36	ga_ls8c_ard_3-2-1_107080_2022-05-05_final
2022-05-06 10:04:00	ga_ls8c_ard_3-2-1_098070_2022-05-06_final
2022-05-10 11:19:24	ga_ls8c_ard_3-2-1_110073_2022-05-10_final
2022-06-07 10:08:13	ga_ls8c_ard_3-2-1_098080_2022-06-07_final
2022-06-08 10:49:30	ga_ls8c_ard_3-2-1_105075_2022-06-08_final
2022-08-08 10:21:23	ga_ls8c_ard_3-2-1_100081_2022-08-08_final
2022-09-24 09:37:29	ga_ls8c_ard_3-2-1_093079_2022-09-24_final
2022-10-02 10:25:19	ga_ls8c_ard_3-2-1_101075_2022-10-02_final
2022-10-27 10:22:43	ga_ls8c_ard_3-2-1_100084_2022-10-27_final
2022-11-06 10:56:13	ga_ls8c_ard_3-2-1_106075_2022-11-06_final
2022-11-15 10:49:57	ga_ls8c_ard_3-2-1_105075_2022-11-15_final
2022-12-04 09:44:46	ga_ls8c_ard_3-2-1_094082_2022-12-04_final
2022-12-18 11:31:55	ga_ls8c_ard_3-2-1_112072_2022-12-18_final
2023-01-09 10:54:47	ga_ls8c_ard_3-2-1_106072_2023-01-09_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-01-24 10:14:40	ga_ls8c_ard_3-2-1_099080_2023-01-24_final
2023-01-30 11:14:54	ga_ls8c_ard_3-2-1_109076_2023-01-30_final
2023-02-03 09:14:53	ga_ls8c_ard_3-2-1_089085_2023-02-02_final
2023-02-11 11:39:10	ga_ls8c_ard_3-2-1_113075_2023-02-11_final
2023-03-21 09:26:21	ga_ls8c_ard_3-2-1_091084_2023-03-20_final
2023-03-25 10:34:29	ga_ls8c_ard_3-2-1_103069_2023-03-25_final
2023-03-26 09:45:14	ga_ls8c_ard_3-2-1_094085_2023-03-26_final
2023-03-28 09:28:29	ga_ls8c_ard_3-2-1_092074_2023-03-27_final
2023-04-03 10:29:00	ga_ls8c_ard_3-2-1_102071_2023-04-03_final
2023-04-17 09:06:16	ga_ls8c_ard_3-2-1_088081_2023-04-16_final
2023-04-24 10:48:07	ga_ls8c_ard_3-2-1_105073_2023-04-24_final
2023-04-24 10:49:19	ga_ls8c_ard_3-2-1_105076_2023-04-24_final
2023-04-25 09:51:42	ga_ls8c_ard_3-2-1_096071_2023-04-25_final
2023-05-13 09:40:19	ga_ls8c_ard_3-2-1_094074_2023-05-13_final
2023-05-15 09:27:56	ga_ls8c_ard_3-2-1_092074_2023-05-14_final
2023-06-07 11:13:55	ga_ls8c_ard_3-2-1_109076_2023-06-07_final
2023-06-20 10:45:29	ga_ls8c_ard_3-2-1_104082_2023-06-20_final
2023-07-18 11:06:03	ga_ls8c_ard_3-2-1_108071_2023-07-18_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