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
2013-07-08 10:55:35	ga_ls8c_ard_3-0-0_106070_2013-07-08_final
2013-11-16 09:48:06	ga_ls8c_ard_3-0-0_095072_2013-11-16_final
2013-12-05 10:18:32	ga_ls8c_ard_3-0-0_100071_2013-12-05_final
2013-12-10 10:37:27	ga_ls8c_ard_3-0-0_103072_2013-12-10_final
2014-01-04 10:30:14	ga_ls8c_ard_3-0-0_102070_2014-01-04_final
2014-01-08 10:05:03	ga_ls8c_ard_3-0-0_098069_2014-01-08_final
2014-06-24 10:08:51	ga_ls8c_ard_3-0-0_099067_2014-06-24_final
2014-06-30 11:13:29	ga_ls8c_ard_3-0-0_109074_2014-06-30_final
2014-07-07 09:45:38	ga_ls8c_ard_3-0-0_094086_2014-07-07_final
2014-07-20 10:46:29	ga_ls8c_ard_3-0-0_105068_2014-07-20_final
2014-07-21 11:30:09	ga_ls8c_ard_3-0-0_112069_2014-07-21_final
2014-07-28 11:35:34	ga_ls8c_ard_3-0-0_113067_2014-07-28_final
2015-02-09 09:31:56	ga_ls8c_ard_3-0-0_093067_2015-02-09_final
2015-02-09 09:34:19	ga_ls8c_ard_3-0-0_093073_2015-02-09_final
2015-03-18 09:56:58	ga_ls8c_ard_3-0-0_096084_2015-03-18_final
2015-03-31 09:21:31	ga_ls8c_ard_3-0-0_091073_2015-03-30_final
2015-04-05 09:40:00	ga_ls8c_ard_3-0-0_094073_2015-04-05_final
2015-05-10 10:09:24	ga_ls8c_ard_3-0-0_099070_2015-05-10_final
2015-07-16 10:45:34	ga_ls8c_ard_3-0-0_104082_2015-07-16_final
2015-09-20 10:33:13	ga_ls8c_ard_3-0-0_102081_2015-09-20_final
2015-10-10 11:45:50	ga_ls8c_ard_3-0-0_114077_2015-10-10_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2016-01-16 11:29:33	ga_ls8c_ard_3-0-0_112067_2016-01-16_final
2016-01-23 11:35:44	ga_ls8c_ard_3-0-0_113067_2016-01-23_final
2016-02-26 09:47:30	ga_ls8c_ard_3-0-0_095075_2016-02-26_final
2016-05-04 09:22:54	ga_ls8c_ard_3-0-0_091076_2016-05-03_final
2016-07-08 11:44:56	ga_ls8c_ard_3-0-0_114075_2016-07-08_final
2016-08-13 11:18:45	ga_ls8c_ard_3-0-0_110071_2016-08-13_final
2016-08-29 11:20:28	ga_ls8c_ard_3-0-0_110075_2016-08-29_final
2016-09-24 10:19:08	ga_ls8c_ard_3-0-0_100076_2016-09-24_final
2016-10-18 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-10-18_final
2016-11-14 10:47:20	ga_ls8c_ard_3-0-0_105069_2016-11-14_final
2016-11-27 10:17:15	ga_ls8c_ard_3-0-0_100071_2016-11-27_final
2017-05-10 11:30:50	ga_ls8c_ard_3-0-0_112072_2017-05-10_final
2017-05-15 10:10:33	ga_ls8c_ard_3-0-0_099072_2017-05-15_final
2017-06-04 11:23:43	ga_ls8c_ard_3-0-0_111069_2017-06-04_final
2017-06-26 10:48:46	ga_ls8c_ard_3-0-0_105074_2017-06-26_final
2017-07-12 10:49:36	ga_ls8c_ard_3-0-0_105076_2017-07-12_final
2017-07-22 11:23:35	ga_ls8c_ard_3-0-0_111068_2017-07-22_final
2017-07-31 11:17:52	ga_ls8c_ard_3-0-0_110069_2017-07-31_final
2017-08-07 09:46:48	ga_ls8c_ard_3-0-0_095073_2017-08-07_final
2017-10-16 10:48:06	ga_ls8c_ard_3-0-0_105071_2017-10-16_final
2017-11-27 09:46:34	ga_ls8c_ard_3-0-0_095072_2017-11-27_final
2018-01-24 10:25:27	ga_ls8c_ard_3-0-0_101077_2018-01-24_final
2018-02-25 10:24:49	ga_ls8c_ard_3-0-0_101076_2018-02-25_final
2018-04-15 11:10:51	ga_ls8c_ard_3-0-0_108084_2018-04-15_final
2018-05-02 10:14:40	ga_ls8c_ard_3-0-0_099083_2018-05-02_final
2018-06-07 09:44:48	ga_ls8c_ard_3-0-0_095071_2018-06-07_final
2018-06-08 10:26:52	ga_ls8c_ard_3-0-0_102068_2018-06-08_final
2018-07-07 10:03:03	ga_ls8c_ard_3-0-0_097085_2018-07-07_final
2018-08-01 11:28:46	ga_ls8c_ard_3-0-0_112067_2018-08-01_final
2018-08-03 09:45:32	ga_ls8c_ard_3-0-0_094087_2018-08-03_final
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2018-10-21 10:39:18	ga_ls8c_ard_3-0-0_103081_2018-10-21_final
2018-12-05 10:04:27	ga_ls8c_ard_3-0-0_098071_2018-12-05_final
2018-12-16 11:24:22	ga_ls8c_ard_3-0-0_111070_2018-12-16_final
2019-03-13 09:51:47	ga_ls8c_ard_3-1-0_096071_2019-03-13_final
2019-04-07 09:45:07	ga_ls8c_ard_3-1-0_095070_2019-04-07_final
2019-04-25 09:33:50	ga_ls8c_ard_3-0-0_093073_2019-04-25_final
2019-05-09 11:25:35	ga_ls8c_ard_3-0-0_111074_2019-05-09_final
2019-05-11 09:39:57	ga_ls8c_ard_3-0-0_093088_2019-05-11_final
2019-05-27 11:14:36	ga_ls8c_ard_3-0-0_109077_2019-05-27_final
2019-06-18 10:35:41	ga_ls8c_ard_3-1-0_103072_2019-06-18_final
2019-06-24 09:57:02	ga_ls8c_ard_3-1-0_097068_2019-06-24_final
2019-08-30 10:28:40	ga_ls8c_ard_3-1-0_102069_2019-08-30_final
2019-09-17 10:17:11	ga_ls8c_ard_3-1-0_100071_2019-09-17_final
2019-10-25 11:21:30	ga_ls8c_ard_3-1-0_110077_2019-10-25_final
2019-12-16 10:55:52	ga_ls8c_ard_3-2-0_106075_2019-12-16_final
2020-01-08 09:23:53	ga_ls8c_ard_3-1-0_091077_2020-01-07_final
2020-03-20 10:10:56	ga_ls8c_ard_3-1-0_099072_2020-03-20_final
2020-04-20 11:09:30	ga_ls8c_ard_3-1-0_108080_2020-04-20_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-06-18 10:45:53	ga_ls8c_ard_3-1-0_105067_2020-06-18_final
2020-08-23 10:35:56	ga_ls8c_ard_3-1-0_103072_2020-08-23_final
2020-11-22 10:18:25	ga_ls8c_ard_3-1-0_100074_2020-11-22_final
2021-03-01 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-02-28_final
2021-03-22 11:05:22	ga_ls8c_ard_3-2-0_108069_2021-03-22_final
2021-04-18 09:11:23	ga_ls8c_ard_3-2-0_089078_2021-04-17_final
2021-04-23 09:33:52	ga_ls8c_ard_3-2-0_092088_2021-04-23_final
2021-08-13 09:28:48	ga_ls8c_ard_3-2-0_092074_2021-08-12_final
2021-08-17 09:07:17	ga_ls8c_ard_3-2-0_088082_2021-08-16_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-11-28 10:49:22	ga_ls8c_ard_3-2-0_105074_2021-11-28_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-04-03 09:23:01	ga_ls8c_ard_3-2-1_091076_2022-04-02_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-08-12 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-08-12_final
2022-08-14 11:20:25	ga_ls8c_ard_3-2-1_110074_2022-08-14_final
2022-09-22 11:24:44	ga_ls8c_ard_3-2-1_111069_2022-09-22_final
2022-12-22 09:33:50	ga_ls8c_ard_3-2-1_092086_2022-12-22_final
2022-12-26 10:46:25	ga_ls8c_ard_3-2-1_104082_2022-12-26_final
2023-01-22 10:27:49	ga_ls8c_ard_3-2-1_101082_2023-01-22_final
2023-01-24 10:13:52	ga_ls8c_ard_3-2-1_099078_2023-01-24_final
2023-02-19 10:50:00	ga_ls8c_ard_3-2-1_105076_2023-02-19_final
2023-06-30 11:19:30	ga_ls8c_ard_3-2-1_110074_2023-06-30_final
2023-08-21 10:54:46	ga_ls8c_ard_3-2-1_106073_2023-08-21_final
2023-12-02 09:21:52	ga_ls8c_ard_3-2-1_091072_2023-12-01_final
2024-01-11 10:11:39	ga_ls8c_ard_3-2-1_099073_2024-01-11_final
2024-02-09 11:18:01	ga_ls8c_ard_3-2-1_110069_2024-02-09_final
2024-03-06 10:17:11	ga_ls8c_ard_3-2-1_100072_2024-03-06_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