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
2013-05-14 10:48:34	ga_ls8c_ard_3-0-0_105068_2013-05-14_final
2013-06-17 10:37:48	ga_ls8c_ard_3-0-0_103072_2013-06-17_final
2013-08-28 11:28:08	ga_ls8c_ard_3-0-0_111074_2013-08-28_final
2013-09-03 10:48:39	ga_ls8c_ard_3-0-0_105068_2013-09-03_final
2014-05-27 11:25:38	ga_ls8c_ard_3-0-0_111074_2014-05-27_final
2014-09-07 11:31:36	ga_ls8c_ard_3-0-0_112072_2014-09-07_final
2014-12-21 11:24:37	ga_ls8c_ard_3-0-0_111070_2014-12-21_final
2015-01-06 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-01-06_final
2015-01-22 11:23:15	ga_ls8c_ard_3-0-0_111067_2015-01-22_final
2015-04-14 11:13:06	ga_ls8c_ard_3-0-0_109074_2015-04-14_final
2015-08-24 10:51:58	ga_ls8c_ard_3-0-0_105082_2015-08-24_final
2016-01-02 11:20:00	ga_ls8c_ard_3-0-0_110074_2016-01-02_final
2016-01-25 11:28:57	ga_ls8c_ard_3-0-0_111081_2016-01-25_final
2016-03-05 10:38:55	ga_ls8c_ard_3-0-0_103080_2016-03-05_final
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-08-26 10:49:09	ga_ls8c_ard_3-0-0_105074_2016-08-26_final
2016-09-23 11:17:57	ga_ls8c_ard_3-0-0_109084_2016-09-23_final
2016-11-07 10:45:33	ga_ls8c_ard_3-0-0_104080_2016-11-07_final
2017-03-30 11:38:02	ga_ls8c_ard_3-0-0_113074_2017-03-30_final
2017-04-19 11:13:56	ga_ls8c_ard_3-0-0_109076_2017-04-19_final
2017-04-28 11:10:03	ga_ls8c_ard_3-0-0_108082_2017-04-28_final
2017-08-24 10:28:33	ga_ls8c_ard_3-0-0_102069_2017-08-24_final
2018-01-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2018-01-28_final
2018-04-25 11:43:51	ga_ls8c_ard_3-0-0_114074_2018-04-25_final
2018-06-15 10:34:44	ga_ls8c_ard_3-0-0_103072_2018-06-15_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2018-11-30 11:24:01	ga_ls8c_ard_3-0-0_111069_2018-11-30_final
2018-12-29 10:55:27	ga_ls8c_ard_3-0-0_106075_2018-12-29_final
2019-03-05 10:42:53	ga_ls8c_ard_3-0-0_104075_2019-03-05_final
2019-04-03 11:52:44	ga_ls8c_ard_3-1-0_115080_2019-04-03_final
2019-06-08 11:41:49	ga_ls8c_ard_3-0-0_113083_2019-06-08_final
2019-06-14 11:01:35	ga_ls8c_ard_3-1-0_107075_2019-06-14_final
2019-08-05 10:35:55	ga_ls8c_ard_3-1-0_103072_2019-08-05_final
2019-10-02 11:17:40	ga_ls8c_ard_3-1-0_109083_2019-10-02_final
2020-04-15 10:48:36	ga_ls8c_ard_3-1-0_105074_2020-04-15_final
2020-08-23 10:39:55	ga_ls8c_ard_3-1-0_103082_2020-08-23_final
2020-08-30 09:07:16	ga_ls8c_ard_3-1-0_088082_2020-08-29_final
2020-09-11 11:11:21	ga_ls8c_ard_3-1-0_108083_2020-09-11_final
2020-10-07 11:46:09	ga_ls8c_ard_3-1-0_114077_2020-10-07_final
2020-11-12 11:20:34	ga_ls8c_ard_3-1-0_110075_2020-11-12_final
2021-01-08 09:39:28	ga_ls8c_ard_3-2-0_093085_2021-01-08_final
2021-02-12 10:03:02	ga_ls8c_ard_3-2-0_098067_2021-02-12_final
2021-02-20 10:54:02	ga_ls8c_ard_3-2-0_106071_2021-02-20_final
2021-02-25 09:37:15	ga_ls8c_ard_3-2-0_093080_2021-02-25_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-02-27 09:28:52	ga_ls8c_ard_3-2-0_091090_2021-02-26_final
2021-03-27 11:25:53	ga_ls8c_ard_3-2-0_111074_2021-03-27_final
2021-04-02 09:11:05	ga_ls8c_ard_3-2-0_089077_2021-04-01_final
2021-05-09 11:05:28	ga_ls8c_ard_3-2-0_108070_2021-05-09_final
2021-05-17 10:21:42	ga_ls8c_ard_3-2-0_100084_2021-05-17_final
2021-05-25 09:33:32	ga_ls8c_ard_3-2-0_092087_2021-05-25_final
2021-06-16 10:31:06	ga_ls8c_ard_3-2-0_102076_2021-06-16_final
2021-07-24 09:58:10	ga_ls8c_ard_3-2-0_096086_2021-07-24_final
2021-08-10 10:37:57	ga_ls8c_ard_3-2-0_103077_2021-08-10_final
2021-08-15 10:56:08	ga_ls8c_ard_3-2-0_106076_2021-08-15_final
2021-08-23 11:46:00	ga_ls8c_ard_3-2-0_114077_2021-08-23_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2022-01-04 09:28:07	ga_ls8c_ard_3-2-1_092072_2022-01-03_final
2022-01-15 10:47:14	ga_ls8c_ard_3-2-1_105069_2022-01-15_final
2022-01-26 10:29:25	ga_ls8c_ard_3-2-1_102071_2022-01-26_final
2022-01-29 11:05:06	ga_ls8c_ard_3-2-1_107083_2022-01-29_final
2022-01-31 09:13:51	ga_ls8c_ard_3-2-1_089083_2022-01-30_final
2022-04-17 09:33:53	ga_ls8c_ard_3-2-1_093072_2022-04-17_final
2022-04-28 09:16:51	ga_ls8c_ard_3-2-1_090076_2022-04-27_final
2022-06-16 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-06-16_final
2022-07-11 11:32:30	ga_ls8c_ard_3-2-1_112074_2022-07-11_final
2022-07-20 09:47:05	ga_ls8c_ard_3-2-1_095073_2022-07-20_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-10-12 09:22:12	ga_ls8c_ard_3-2-1_091072_2022-10-11_final
2022-10-24 11:29:29	ga_ls8c_ard_3-2-1_111081_2022-10-24_final
2022-10-28 09:22:19	ga_ls8c_ard_3-2-1_091072_2022-10-27_final
2022-10-29 10:10:22	ga_ls8c_ard_3-2-1_098084_2022-10-29_final
2022-11-18 09:41:08	ga_ls8c_ard_3-2-1_094073_2022-11-18_final
2022-11-29 11:00:44	ga_ls8c_ard_3-2-1_107071_2022-11-29_final
2022-12-13 09:34:57	ga_ls8c_ard_3-2-1_093073_2022-12-13_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-03-27 10:25:18	ga_ls8c_ard_3-2-1_101077_2023-03-27_final
2023-04-19 10:30:23	ga_ls8c_ard_3-2-1_102075_2023-04-19_final
2023-06-05 11:23:27	ga_ls8c_ard_3-2-1_111069_2023-06-05_final
2023-06-10 11:44:03	ga_ls8c_ard_3-2-1_114074_2023-06-10_final
2023-06-11 09:13:56	ga_ls8c_ard_3-2-1_089085_2023-06-10_final
2023-06-13 10:34:30	ga_ls8c_ard_3-2-1_103070_2023-06-13_final
2023-06-21 09:49:52	ga_ls8c_ard_3-2-1_095082_2023-06-21_final
2023-07-04 09:16:44	ga_ls8c_ard_3-2-1_090076_2023-07-03_final
2023-07-14 11:31:10	ga_ls8c_ard_3-2-1_112072_2023-07-14_final
2023-07-26 10:19:53	ga_ls8c_ard_3-2-1_100079_2023-07-26_final
2023-07-27 11:01:33	ga_ls8c_ard_3-2-1_107075_2023-07-27_final
2023-08-10 09:40:17	ga_ls8c_ard_3-2-1_093088_2023-08-10_final
2023-08-11 10:16:45	ga_ls8c_ard_3-2-1_100071_2023-08-11_final
2023-08-16 10:35:46	ga_ls8c_ard_3-2-1_103072_2023-08-16_final
2023-10-06 09:33:58	ga_ls8c_ard_3-2-1_092087_2023-10-06_final
2023-10-11 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-10-11_final
2023-10-12 10:31:02	ga_ls8c_ard_3-2-1_102075_2023-10-12_final
2023-11-25 10:53:02	ga_ls8c_ard_3-2-1_106068_2023-11-25_final
2023-12-27 10:55:47	ga_ls8c_ard_3-2-1_106075_2023-12-27_final
2024-01-15 09:52:07	ga_ls8c_ard_3-2-1_095086_2024-01-15_final
2024-02-01 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-01_final
2024-02-09 11:18:01	ga_ls8c_ard_3-2-1_110069_2024-02-09_final
2024-02-12 10:10:49	ga_ls8c_ard_3-2-1_099071_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