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
2013-08-21 11:22:20	ga_ls8c_ard_3-0-0_110075_2013-08-21_final
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2014-02-16 11:51:39	ga_ls8c_ard_3-0-0_115074_2014-02-16_final
2014-03-31 11:29:42	ga_ls8c_ard_3-0-0_112067_2014-03-31_final
2014-05-09 11:41:15	ga_ls8c_ard_3-0-0_113082_2014-05-09_final
2014-09-07 11:34:48	ga_ls8c_ard_3-0-0_112080_2014-09-07_final
2015-04-27 10:41:43	ga_ls8c_ard_3-0-0_104073_2015-04-27_final
2015-06-06 11:33:51	ga_ls8c_ard_3-0-0_112080_2015-06-06_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2015-08-10 10:35:30	ga_ls8c_ard_3-0-0_103072_2015-08-10_final
2015-11-05 10:40:57	ga_ls8c_ard_3-0-0_104069_2015-11-05_final
2015-12-20 11:52:33	ga_ls8c_ard_3-0-0_115078_2015-12-20_final
2016-02-03 11:17:09	ga_ls8c_ard_3-0-0_110067_2016-02-03_final
2016-05-28 11:50:51	ga_ls8c_ard_3-0-0_115075_2016-05-28_final
2016-11-05 10:52:44	ga_ls8c_ard_3-0-0_106067_2016-11-05_final
2016-11-16 10:34:35	ga_ls8c_ard_3-0-0_103068_2016-11-16_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2017-01-16 11:45:59	ga_ls8c_ard_3-0-0_114077_2017-01-16_final
2017-02-24 11:52:18	ga_ls8c_ard_3-0-0_115078_2017-02-24_final
2017-08-20 10:53:15	ga_ls8c_ard_3-0-0_106069_2017-08-20_final
2017-09-16 10:37:57	ga_ls8c_ard_3-0-0_103077_2017-09-16_final
2017-12-09 11:50:57	ga_ls8c_ard_3-0-0_115074_2017-12-09_final
2017-12-17 10:59:57	ga_ls8c_ard_3-0-0_107070_2017-12-17_final
2018-02-24 11:23:38	ga_ls8c_ard_3-0-0_110084_2018-02-24_final
2018-05-01 11:05:07	ga_ls8c_ard_3-0-0_108070_2018-05-01_final
2018-06-11 11:01:00	ga_ls8c_ard_3-0-0_107076_2018-06-11_final
2018-06-29 10:48:50	ga_ls8c_ard_3-0-0_105076_2018-06-29_final
2018-08-12 11:16:19	ga_ls8c_ard_3-0-0_109082_2018-08-12_final
2018-09-11 11:25:41	ga_ls8c_ard_3-0-0_111074_2018-09-11_final
2018-11-29 10:41:33	ga_ls8c_ard_3-0-0_104071_2018-11-29_final
2018-12-25 11:23:46	ga_ls8c_ard_3-0-0_110084_2018-12-25_final
2019-04-23 11:28:17	ga_ls8c_ard_3-0-0_111081_2019-04-23_final
2019-09-06 10:40:03	ga_ls8c_ard_3-1-0_103082_2019-09-06_final
2019-09-21 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-09-21_final
2019-10-29 10:53:11	ga_ls8c_ard_3-1-0_106068_2019-10-29_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2019-12-23 11:01:38	ga_ls8c_ard_3-1-0_107074_2019-12-23_final
2020-01-19 10:40:35	ga_ls8c_ard_3-1-0_104068_2020-01-19_final
2020-03-08 11:25:36	ga_ls8c_ard_3-1-0_111073_2020-03-08_final
2020-03-13 11:44:30	ga_ls8c_ard_3-1-0_114074_2020-03-13_final
2020-06-16 11:01:01	ga_ls8c_ard_3-1-0_107074_2020-06-16_final
2020-06-26 11:35:24	ga_ls8c_ard_3-1-0_113067_2020-06-26_final
2020-11-15 10:13:24	ga_ls8c_ard_3-1-0_099077_2020-11-15_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-25 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-11-25_final
2020-12-12 09:58:31	ga_ls8c_ard_3-1-0_096086_2020-12-12_final
2021-02-05 09:58:53	ga_ls8c_ard_3-2-0_097072_2021-02-05_final
2021-02-09 09:34:57	ga_ls8c_ard_3-2-0_093074_2021-02-09_final
2021-02-10 10:17:00	ga_ls8c_ard_3-2-0_100071_2021-02-10_final
2021-03-16 11:46:52	ga_ls8c_ard_3-2-0_114080_2021-03-16_final
2021-05-18 09:22:54	ga_ls8c_ard_3-2-0_091076_2021-05-17_final
2021-06-02 11:58:20	ga_ls8c_ard_3-2-0_116078_2021-06-02_final
2021-06-05 09:11:29	ga_ls8c_ard_3-2-0_089078_2021-06-04_final
2021-07-05 11:04:04	ga_ls8c_ard_3-2-0_107081_2021-07-05_final
2021-07-06 10:04:03	ga_ls8c_ard_3-2-0_098070_2021-07-06_final
2021-07-17 09:51:31	ga_ls8c_ard_3-2-0_095085_2021-07-17_final
2021-07-29 10:11:09	ga_ls8c_ard_3-2-0_099072_2021-07-29_final
2021-08-21 10:17:05	ga_ls8c_ard_3-2-0_100071_2021-08-21_final
2021-10-30 09:40:39	ga_ls8c_ard_3-2-0_094072_2021-10-30_final
2021-11-01 09:29:29	ga_ls8c_ard_3-2-0_092075_2021-10-31_final
2021-11-14 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-14_final
2021-11-22 11:23:38	ga_ls8c_ard_3-2-0_111067_2021-11-22_final
2021-12-08 11:25:15	ga_ls8c_ard_3-2-1_111071_2021-12-08_final
2021-12-12 09:23:14	ga_ls8c_ard_3-2-1_091075_2021-12-11_final
2021-12-13 10:10:05	ga_ls8c_ard_3-2-1_098084_2021-12-13_final
2022-01-05 11:51:27	ga_ls8c_ard_3-2-1_115075_2022-01-05_final
2022-01-06 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-01-06_final
2022-01-11 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-01-11_final
2022-01-20 09:29:39	ga_ls8c_ard_3-2-1_092076_2022-01-19_final
2022-01-21 11:52:35	ga_ls8c_ard_3-2-1_115078_2022-01-21_final
2022-02-03 11:24:26	ga_ls8c_ard_3-2-1_110085_2022-02-03_final
2022-02-15 11:47:30	ga_ls8c_ard_3-2-1_114081_2022-02-15_final
2022-03-22 10:37:42	ga_ls8c_ard_3-2-1_103077_2022-03-22_final
2022-06-08 09:11:24	ga_ls8c_ard_3-2-1_089077_2022-06-07_final
2022-06-13 09:32:48	ga_ls8c_ard_3-2-1_092084_2022-06-13_final
2022-08-07 09:38:54	ga_ls8c_ard_3-2-1_093083_2022-08-07_final
2022-09-06 11:29:26	ga_ls8c_ard_3-2-1_111081_2022-09-06_final
2022-10-17 11:20:26	ga_ls8c_ard_3-2-1_110074_2022-10-17_final
2022-10-24 11:25:54	ga_ls8c_ard_3-2-1_111072_2022-10-24_final
2022-11-04 09:29:42	ga_ls8c_ard_3-2-1_092075_2022-11-03_final
2022-11-14 10:05:06	ga_ls8c_ard_3-2-1_098071_2022-11-14_final
2022-11-20 09:34:22	ga_ls8c_ard_3-2-1_092087_2022-11-20_final
2022-11-27 11:18:16	ga_ls8c_ard_3-2-1_109084_2022-11-27_final
2022-12-27 11:25:41	ga_ls8c_ard_3-2-1_111072_2022-12-27_final
2023-02-03 09:16:29	ga_ls8c_ard_3-2-1_089089_2023-02-02_final
2023-02-18 10:08:21	ga_ls8c_ard_3-2-1_098080_2023-02-18_final
2023-02-20 09:52:22	ga_ls8c_ard_3-2-1_096071_2023-02-20_final
2023-03-06 10:08:09	ga_ls8c_ard_3-2-1_098080_2023-03-06_final
2023-04-09 09:51:48	ga_ls8c_ard_3-2-1_096071_2023-04-09_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-23 11:24:13	ga_ls8c_ard_3-2-1_111070_2023-07-23_final
2023-08-07 09:06:36	ga_ls8c_ard_3-2-1_088081_2023-08-06_final
2023-08-22 11:38:26	ga_ls8c_ard_3-2-1_113074_2023-08-22_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_final
2023-10-15 11:01:32	ga_ls8c_ard_3-2-1_107074_2023-10-15_final
2023-11-06 10:25:40	ga_ls8c_ard_3-2-1_101077_2023-11-06_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2023-12-23 11:24:31	ga_ls8c_ard_3-2-1_110085_2023-12-23_final
2024-02-12 10:14:25	ga_ls8c_ard_3-2-1_099080_2024-02-12_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