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
2013-08-09 10:57:36	ga_ls8c_ard_3-0-0_106075_2013-08-09_final
2013-12-11 11:18:42	ga_ls8c_ard_3-0-0_110067_2013-12-11_final
2014-03-24 11:24:26	ga_ls8c_ard_3-0-0_111069_2014-03-24_final
2014-10-18 09:46:38	ga_ls8c_ard_3-0-0_095072_2014-10-18_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-06-24 11:19:38	ga_ls8c_ard_3-0-0_110075_2015-06-24_final
2015-09-23 11:04:56	ga_ls8c_ard_3-0-0_107083_2015-09-23_final
2015-11-13 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-11-13_final
2015-12-08 11:24:37	ga_ls8c_ard_3-0-0_111070_2015-12-08_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2016-06-20 11:57:31	ga_ls8c_ard_3-0-0_116076_2016-06-20_final
2016-09-30 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-30_final
2016-12-25 09:06:58	ga_ls8c_ard_3-1-0_088081_2016-12-24_final
2017-02-05 09:40:14	ga_ls8c_ard_3-0-0_094072_2017-02-05_final
2017-07-29 11:30:13	ga_ls8c_ard_3-0-0_112069_2017-07-29_final
2017-08-18 11:06:24	ga_ls8c_ard_3-0-0_108071_2017-08-18_final
2017-09-30 10:49:14	ga_ls8c_ard_3-0-0_105074_2017-09-30_final
2017-10-07 10:55:51	ga_ls8c_ard_3-0-0_106075_2017-10-07_final
2017-11-09 11:37:55	ga_ls8c_ard_3-0-0_113072_2017-11-09_final
2017-12-22 09:41:13	ga_ls8c_ard_3-0-0_094074_2017-12-22_final
2018-01-23 11:19:53	ga_ls8c_ard_3-0-0_110074_2018-01-23_final
2018-03-25 10:48:30	ga_ls8c_ard_3-0-0_105074_2018-03-25_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-12 10:48:03	ga_ls8c_ard_3-0-0_105074_2018-05-12_final
2018-06-10 11:56:37	ga_ls8c_ard_3-0-0_116076_2018-06-10_final
2018-09-01 10:49:21	ga_ls8c_ard_3-0-0_105076_2018-09-01_final
2018-09-11 11:23:42	ga_ls8c_ard_3-0-0_111069_2018-09-11_final
2018-10-06 11:23:16	ga_ls8c_ard_3-0-0_110083_2018-10-06_final
2018-12-31 09:06:12	ga_ls8c_ard_3-0-0_088080_2018-12-30_final
2019-01-15 11:37:29	ga_ls8c_ard_3-0-0_113072_2019-01-15_final
2019-03-02 11:52:05	ga_ls8c_ard_3-0-0_115078_2019-03-02_final
2019-03-03 10:52:28	ga_ls8c_ard_3-0-0_106068_2019-03-03_final
2019-04-07 11:25:12	ga_ls8c_ard_3-1-0_111073_2019-04-07_final
2019-04-30 11:29:41	ga_ls8c_ard_3-0-0_112069_2019-04-30_final
2019-07-23 11:07:56	ga_ls8c_ard_3-1-0_108075_2019-07-23_final
2019-10-02 11:14:05	ga_ls8c_ard_3-1-0_109074_2019-10-02_final
2019-10-15 09:07:31	ga_ls8c_ard_3-1-0_088082_2019-10-14_final
2019-11-23 10:49:19	ga_ls8c_ard_3-1-0_105074_2019-11-23_final
2020-01-17 10:52:57	ga_ls8c_ard_3-1-0_106068_2020-01-17_final
2020-01-20 11:27:02	ga_ls8c_ard_3-1-0_111076_2020-01-20_final
2020-03-01 09:40:59	ga_ls8c_ard_3-1-0_094074_2020-03-01_final
2020-06-12 11:22:55	ga_ls8c_ard_3-1-0_111067_2020-06-12_final
2020-09-06 10:49:36	ga_ls8c_ard_3-1-0_105075_2020-09-06_final
2021-01-03 10:55:51	ga_ls8c_ard_3-2-0_106075_2021-01-03_final
2021-03-11 11:23:59	ga_ls8c_ard_3-2-0_111069_2021-03-11_final
2021-03-11 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-03-11_final
2021-05-05 11:30:10	ga_ls8c_ard_3-2-0_112070_2021-05-05_final
2021-05-22 10:37:30	ga_ls8c_ard_3-2-0_103077_2021-05-22_final
2021-07-24 11:30:16	ga_ls8c_ard_3-2-0_112069_2021-07-24_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-08-30 11:52:37	ga_ls8c_ard_3-2-0_115078_2021-08-30_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_final
2021-10-26 11:47:03	ga_ls8c_ard_3-2-0_114079_2021-10-26_final
2021-11-14 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-14_final
2021-11-15 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-11-15_final
2021-12-09 10:29:14	ga_ls8c_ard_3-2-1_102070_2021-12-09_final
2021-12-10 09:35:12	ga_ls8c_ard_3-2-1_093074_2021-12-10_final
2021-12-18 10:23:25	ga_ls8c_ard_3-2-1_101071_2021-12-18_final
2022-02-23 09:21:55	ga_ls8c_ard_3-2-1_090088_2022-02-22_final
2022-03-03 10:09:45	ga_ls8c_ard_3-2-1_098084_2022-03-03_final
2022-03-08 10:27:28	ga_ls8c_ard_3-2-1_101082_2022-03-08_final
2022-03-11 10:52:46	ga_ls8c_ard_3-2-1_106068_2022-03-11_final
2022-03-31 10:27:48	ga_ls8c_ard_3-2-1_102068_2022-03-31_final
2022-05-05 11:00:00	ga_ls8c_ard_3-2-1_107071_2022-05-05_final
2022-05-14 10:52:43	ga_ls8c_ard_3-2-1_106068_2022-05-14_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-07-08 09:23:07	ga_ls8c_ard_3-2-1_091075_2022-07-07_final
2022-07-16 11:51:26	ga_ls8c_ard_3-2-1_115075_2022-07-16_final
2022-09-03 10:56:06	ga_ls8c_ard_3-2-1_106075_2022-09-03_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-09-11 10:04:45	ga_ls8c_ard_3-2-1_098070_2022-09-11_final
2022-10-16 10:36:46	ga_ls8c_ard_3-2-1_103073_2022-10-16_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-29 09:27:26	ga_ls8c_ard_3-2-1_091085_2022-11-28_final
2022-12-04 09:41:11	ga_ls8c_ard_3-2-1_094073_2022-12-04_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-26 11:38:01	ga_ls8c_ard_3-2-1_113072_2023-01-26_final
2023-03-19 11:14:26	ga_ls8c_ard_3-2-1_109076_2023-03-19_final
2023-03-20 10:19:36	ga_ls8c_ard_3-2-1_100078_2023-03-20_final
2023-04-13 11:05:30	ga_ls8c_ard_3-2-1_108070_2023-04-13_final
2023-05-05 10:27:30	ga_ls8c_ard_3-2-1_102068_2023-05-05_final
2023-05-06 09:39:50	ga_ls8c_ard_3-2-1_093088_2023-05-06_final
2023-05-10 10:49:08	ga_ls8c_ard_3-2-1_105076_2023-05-10_final
2023-05-22 09:39:19	ga_ls8c_ard_3-2-1_093087_2023-05-22_final
2023-07-04 10:55:13	ga_ls8c_ard_3-2-1_106075_2023-07-04_final
2023-07-05 09:56:49	ga_ls8c_ard_3-2-1_097068_2023-07-05_final
2023-07-27 11:04:45	ga_ls8c_ard_3-2-1_107083_2023-07-27_final
2023-08-03 09:33:42	ga_ls8c_ard_3-2-1_092087_2023-08-03_final
2023-08-24 11:24:53	ga_ls8c_ard_3-2-1_111071_2023-08-24_final
2023-09-04 09:28:38	ga_ls8c_ard_3-2-1_092074_2023-09-03_final
2023-10-19 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-10-19_final
2023-12-23 11:20:07	ga_ls8c_ard_3-2-1_110074_2023-12-23_final
2023-12-23 11:20:31	ga_ls8c_ard_3-2-1_110075_2023-12-23_final
2023-12-27 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-12-27_final
2024-01-11 11:51:44	ga_ls8c_ard_3-2-1_115076_2024-01-11_final
2024-01-30 10:42:28	ga_ls8c_ard_3-2-1_104073_2024-01-30_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-27 11:11:09	ga_ls8c_ard_3-2-1_108083_2024-02-27_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