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
2013-05-24 11:27:20	ga_ls8c_ard_3-0-0_111072_2013-05-24_final
2015-01-02 11:52:26	ga_ls8c_ard_3-0-0_115078_2015-01-02_final
2015-01-06 11:24:56	ga_ls8c_ard_3-0-0_111071_2015-01-06_final
2015-03-11 11:23:20	ga_ls8c_ard_3-0-0_111068_2015-03-11_final
2015-05-23 11:17:22	ga_ls8c_ard_3-0-0_110070_2015-05-23_final
2015-07-26 11:22:42	ga_ls8c_ard_3-0-0_110082_2015-07-26_final
2015-11-06 11:25:48	ga_ls8c_ard_3-0-0_111073_2015-11-06_final
2016-01-25 11:26:34	ga_ls8c_ard_3-0-0_111075_2016-01-25_final
2016-02-03 11:18:21	ga_ls8c_ard_3-0-0_110070_2016-02-03_final
2016-02-10 11:23:17	ga_ls8c_ard_3-0-0_111067_2016-02-10_final
2016-04-10 11:50:49	ga_ls8c_ard_3-0-0_115075_2016-04-10_final
2016-06-01 11:24:09	ga_ls8c_ard_3-0-0_111070_2016-06-01_final
2016-06-15 11:41:20	ga_ls8c_ard_3-0-0_113082_2016-06-15_final
2016-08-04 11:26:07	ga_ls8c_ard_3-0-0_111074_2016-08-04_final
2016-08-09 11:47:03	ga_ls8c_ard_3-0-0_114080_2016-08-09_final
2016-10-14 11:35:47	ga_ls8c_ard_3-0-0_112082_2016-10-14_final
2016-11-04 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-11-04_final
2016-11-24 11:26:49	ga_ls8c_ard_3-0-0_111075_2016-11-24_final
2017-05-17 11:41:29	ga_ls8c_ard_3-0-0_113083_2017-05-17_final
2017-05-24 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-05-24_final
2017-12-11 11:35:48	ga_ls8c_ard_3-0-0_113067_2017-12-11_final
2018-02-13 11:41:51	ga_ls8c_ard_3-0-0_113083_2018-02-13_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-11-19 11:47:21	ga_ls8c_ard_3-0-0_114081_2018-11-19_final
2019-06-08 11:41:49	ga_ls8c_ard_3-0-0_113083_2019-06-08_final
2019-10-09 11:17:29	ga_ls8c_ard_3-1-0_110067_2019-10-09_final
2019-12-15 10:09:26	ga_ls8c_ard_3-2-0_099067_2019-12-15_final
2019-12-16 09:21:47	ga_ls8c_ard_3-2-0_090087_2019-12-15_final
2020-02-14 11:23:32	ga_ls8c_ard_3-1-0_110083_2020-02-14_final
2020-04-14 11:41:26	ga_ls8c_ard_3-1-0_114067_2020-04-14_final
2020-05-16 11:46:50	ga_ls8c_ard_3-1-0_114081_2020-05-16_final
2020-06-08 11:50:47	ga_ls8c_ard_3-1-0_115075_2020-06-08_final
2020-11-10 11:34:56	ga_ls8c_ard_3-1-0_112080_2020-11-10_final
2020-12-14 09:38:35	ga_ls8c_ard_3-1-0_094067_2020-12-14_final
2021-01-02 10:16:11	ga_ls8c_ard_3-2-0_099084_2021-01-02_final
2021-01-14 10:35:14	ga_ls8c_ard_3-2-0_103070_2021-01-14_final
2021-02-01 10:25:37	ga_ls8c_ard_3-2-0_101077_2021-02-01_final
2021-02-13 10:49:05	ga_ls8c_ard_3-2-0_105074_2021-02-13_final
2021-04-02 10:49:34	ga_ls8c_ard_3-2-0_105076_2021-04-02_final
2021-04-24 10:10:44	ga_ls8c_ard_3-2-0_099072_2021-04-24_final
2021-04-28 09:46:23	ga_ls8c_ard_3-2-0_095073_2021-04-28_final
2021-04-28 11:24:52	ga_ls8c_ard_3-2-0_111072_2021-04-28_final
2021-06-15 11:25:31	ga_ls8c_ard_3-2-0_111073_2021-06-15_final
2021-07-05 11:02:28	ga_ls8c_ard_3-2-0_107077_2021-07-05_final
2021-08-02 09:47:40	ga_ls8c_ard_3-2-0_095075_2021-08-02_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-09-14 09:26:33	ga_ls8c_ard_3-2-0_092068_2021-09-13_final
2021-10-30 11:17:33	ga_ls8c_ard_3-2-0_110067_2021-10-30_final
2021-11-03 10:54:00	ga_ls8c_ard_3-2-0_106070_2021-11-03_final
2021-12-12 09:24:02	ga_ls8c_ard_3-2-1_091077_2021-12-11_final
2021-12-30 10:47:40	ga_ls8c_ard_3-2-1_105070_2021-12-30_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-29 11:02:42	ga_ls8c_ard_3-2-1_107077_2022-01-29_final
2022-01-30 10:07:29	ga_ls8c_ard_3-2-1_098078_2022-01-30_final
2022-04-07 10:37:37	ga_ls8c_ard_3-2-1_103077_2022-04-07_final
2022-04-13 09:58:36	ga_ls8c_ard_3-2-1_097072_2022-04-13_final
2022-05-04 10:17:08	ga_ls8c_ard_3-2-1_100072_2022-05-04_final
2022-05-13 10:13:50	ga_ls8c_ard_3-2-1_099079_2022-05-13_final
2022-05-15 09:57:06	ga_ls8c_ard_3-2-1_097068_2022-05-15_final
2022-06-03 10:31:41	ga_ls8c_ard_3-2-1_102077_2022-06-03_final
2022-07-02 11:42:17	ga_ls8c_ard_3-2-1_113083_2022-07-02_final
2022-07-02 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-02_final
2022-07-05 10:29:07	ga_ls8c_ard_3-2-1_102070_2022-07-05_final
2022-07-22 09:40:20	ga_ls8c_ard_3-2-1_093087_2022-07-22_final
2022-08-31 10:23:37	ga_ls8c_ard_3-2-1_101071_2022-08-31_final
2022-10-10 09:35:47	ga_ls8c_ard_3-2-1_093075_2022-10-10_final
2022-10-12 11:00:17	ga_ls8c_ard_3-2-1_107070_2022-10-12_final
2022-11-21 10:12:03	ga_ls8c_ard_3-2-1_099073_2022-11-21_final
2023-01-15 10:18:49	ga_ls8c_ard_3-2-1_100075_2023-01-15_final
2023-01-16 11:00:04	ga_ls8c_ard_3-2-1_107070_2023-01-16_final
2023-01-26 11:41:13	ga_ls8c_ard_3-2-1_113080_2023-01-26_final
2023-01-29 10:28:27	ga_ls8c_ard_3-2-1_102068_2023-01-29_final
2023-02-02 10:04:08	ga_ls8c_ard_3-2-1_098069_2023-02-02_final
2023-02-11 10:02:16	ga_ls8c_ard_3-2-1_097080_2023-02-11_final
2023-02-12 09:07:26	ga_ls8c_ard_3-2-1_088082_2023-02-11_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-04-01 09:06:54	ga_ls8c_ard_3-2-1_088082_2023-03-31_final
2023-06-13 10:35:17	ga_ls8c_ard_3-2-1_103072_2023-06-13_final
2023-06-16 09:33:43	ga_ls8c_ard_3-2-1_092088_2023-06-16_final
2023-07-05 11:40:30	ga_ls8c_ard_3-2-1_113080_2023-07-05_final
2023-07-31 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-07-31_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-03 11:05:48	ga_ls8c_ard_3-2-1_108070_2023-08-03_final
2023-08-04 11:51:04	ga_ls8c_ard_3-2-1_115075_2023-08-04_final
2023-08-17 09:40:58	ga_ls8c_ard_3-2-1_094074_2023-08-17_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-10-30 10:17:31	ga_ls8c_ard_3-2-1_100072_2023-10-30_final
2023-11-14 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-11-14_final
2023-11-15 11:57:35	ga_ls8c_ard_3-2-1_116075_2023-11-15_final
2023-11-24 11:53:03	ga_ls8c_ard_3-2-1_115079_2023-11-24_final
2023-11-27 09:07:22	ga_ls8c_ard_3-2-1_088082_2023-11-26_final
2023-11-28 11:29:55	ga_ls8c_ard_3-2-1_111083_2023-11-28_final
2023-11-30 11:13:56	ga_ls8c_ard_3-2-1_109074_2023-11-30_final
2023-12-01 10:17:06	ga_ls8c_ard_3-2-1_100071_2023-12-01_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-11 09:22:26	ga_ls8c_ard_3-2-1_090089_2023-12-10_final
2023-12-16 11:15:31	ga_ls8c_ard_3-2-1_109078_2023-12-16_final
2024-02-12 10:09:13	ga_ls8c_ard_3-2-1_099067_2024-02-12_final
2024-03-09 10:49:16	ga_ls8c_ard_3-2-1_105075_2024-03-09_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