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
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-06-04 11:12:47	ga_ls8c_ard_3-0-0_108082_2013-06-04_final
2014-02-06 11:13:07	ga_ls8c_ard_3-0-0_109070_2014-02-06_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2015-04-03 11:31:38	ga_ls8c_ard_3-0-0_112074_2015-04-03_final
2015-06-06 11:29:28	ga_ls8c_ard_3-0-0_112069_2015-06-06_final
2015-06-24 11:16:26	ga_ls8c_ard_3-0-0_110067_2015-06-24_final
2015-12-04 11:52:56	ga_ls8c_ard_3-0-0_115079_2015-12-04_final
2015-12-10 11:12:38	ga_ls8c_ard_3-0-0_109071_2015-12-10_final
2016-02-10 11:24:29	ga_ls8c_ard_3-0-0_111070_2016-02-10_final
2016-04-21 11:30:12	ga_ls8c_ard_3-0-0_112070_2016-04-21_final
2016-06-01 11:22:57	ga_ls8c_ard_3-0-0_111067_2016-06-01_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2017-06-04 11:24:07	ga_ls8c_ard_3-0-0_111070_2017-06-04_final
2017-08-09 11:14:32	ga_ls8c_ard_3-0-0_109076_2017-08-09_final
2018-02-24 11:17:39	ga_ls8c_ard_3-0-0_110069_2018-02-24_final
2018-06-23 11:23:28	ga_ls8c_ard_3-0-0_111070_2018-06-23_final
2018-09-02 11:31:02	ga_ls8c_ard_3-0-0_112072_2018-09-02_final
2018-09-13 11:11:21	ga_ls8c_ard_3-0-0_109069_2018-09-13_final
2018-11-23 11:17:03	ga_ls8c_ard_3-0-0_110067_2018-11-23_final
2018-12-27 11:07:49	ga_ls8c_ard_3-0-0_108075_2018-12-27_final
2019-02-20 11:13:51	ga_ls8c_ard_3-0-0_109075_2019-02-20_final
2019-05-02 11:16:32	ga_ls8c_ard_3-0-0_110067_2019-05-02_final
2019-11-19 11:12:04	ga_ls8c_ard_3-1-0_109069_2019-11-19_final
2020-08-19 09:20:08	ga_ls8c_ard_3-1-0_091068_2020-08-18_final
2020-09-16 11:23:57	ga_ls8c_ard_3-1-0_111068_2020-09-16_final
2020-10-29 11:08:16	ga_ls8c_ard_3-1-0_108075_2020-10-29_final
2021-01-19 09:20:50	ga_ls8c_ard_3-2-0_090085_2021-01-18_final
2021-01-27 10:09:28	ga_ls8c_ard_3-2-0_098083_2021-01-27_final
2021-02-01 10:28:00	ga_ls8c_ard_3-2-0_101083_2021-02-01_final
2021-03-01 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-03-01_final
2021-03-19 10:39:15	ga_ls8c_ard_3-2-0_103081_2021-03-19_final
2021-03-23 10:08:32	ga_ls8c_ard_3-2-1_099066_2021-03-23_final
2021-04-14 11:13:49	ga_ls8c_ard_3-2-0_109075_2021-04-14_final
2021-04-30 09:33:12	ga_ls8c_ard_3-2-0_093071_2021-04-30_final
2021-05-07 11:19:47	ga_ls8c_ard_3-2-0_110075_2021-05-07_final
2021-05-18 09:28:29	ga_ls8c_ard_3-2-0_091090_2021-05-17_final
2021-05-26 10:10:25	ga_ls8c_ard_3-2-0_099071_2021-05-26_final
2021-05-26 10:15:36	ga_ls8c_ard_3-2-0_099084_2021-05-26_final
2021-05-30 09:51:43	ga_ls8c_ard_3-2-0_095086_2021-05-30_final
2021-06-03 11:01:31	ga_ls8c_ard_3-2-0_107075_2021-06-03_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-07-01 09:51:53	ga_ls8c_ard_3-2-0_095086_2021-07-01_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-05 09:22:23	ga_ls8c_ard_3-2-0_091074_2021-07-04_final
2021-07-06 10:03:15	ga_ls8c_ard_3-2-0_098068_2021-07-06_final
2021-07-12 09:25:47	ga_ls8c_ard_3-2-0_092067_2021-07-11_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-08-03 10:28:08	ga_ls8c_ard_3-2-0_102068_2021-08-03_final
2021-08-20 11:13:54	ga_ls8c_ard_3-2-0_109074_2021-08-20_final
2021-09-09 10:49:40	ga_ls8c_ard_3-2-0_105075_2021-09-09_final
2021-09-20 10:30:21	ga_ls8c_ard_3-2-0_102073_2021-09-20_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-11-20 11:38:47	ga_ls8c_ard_3-2-0_113074_2021-11-20_final
2021-12-10 11:14:29	ga_ls8c_ard_3-2-1_109075_2021-12-10_final
2021-12-25 10:28:46	ga_ls8c_ard_3-2-1_102069_2021-12-25_final
2022-01-02 11:18:09	ga_ls8c_ard_3-2-1_110069_2022-01-02_final
2022-01-14 10:09:57	ga_ls8c_ard_3-2-1_098084_2022-01-14_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-01-26 10:29:25	ga_ls8c_ard_3-2-1_102071_2022-01-26_final
2022-01-29 11:00:18	ga_ls8c_ard_3-2-1_107071_2022-01-29_final
2022-02-04 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-02-04_final
2022-02-20 10:25:30	ga_ls8c_ard_3-2-1_101077_2022-02-20_final
2022-03-20 10:46:29	ga_ls8c_ard_3-2-1_105068_2022-03-20_final
2022-03-20 10:49:17	ga_ls8c_ard_3-2-1_105075_2022-03-20_final
2022-05-28 11:07:28	ga_ls8c_ard_3-2-1_108074_2022-05-28_final
2022-06-01 09:07:07	ga_ls8c_ard_3-2-1_088082_2022-05-31_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-06-20 09:40:14	ga_ls8c_ard_3-2-1_093087_2022-06-20_final
2022-07-22 09:34:45	ga_ls8c_ard_3-2-1_093073_2022-07-22_final
2022-08-21 11:26:13	ga_ls8c_ard_3-2-1_111073_2022-08-21_final
2022-08-30 11:20:50	ga_ls8c_ard_3-2-1_110075_2022-08-30_final
2022-09-02 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-09-02_final
2022-10-15 09:57:53	ga_ls8c_ard_3-2-1_096084_2022-10-15_final
2023-02-25 11:51:39	ga_ls8c_ard_3-2-1_115076_2023-02-25_final
2023-04-07 10:07:00	ga_ls8c_ard_3-2-1_098078_2023-04-07_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-29 09:32:09	ga_ls8c_ard_3-2-1_092084_2023-04-29_final
2023-06-05 11:25:03	ga_ls8c_ard_3-2-1_111073_2023-06-05_final
2023-06-10 10:02:46	ga_ls8c_ard_3-2-1_098068_2023-06-10_final
2023-06-16 09:28:07	ga_ls8c_ard_3-2-1_092074_2023-06-15_final
2023-08-10 09:34:18	ga_ls8c_ard_3-2-1_093073_2023-08-10_final
2023-08-29 10:07:20	ga_ls8c_ard_3-2-1_098078_2023-08-29_final
2023-09-11 09:33:40	ga_ls8c_ard_3-2-1_093071_2023-09-11_final
2023-09-23 09:57:14	ga_ls8c_ard_3-2-1_097068_2023-09-23_final
2023-10-10 09:07:17	ga_ls8c_ard_3-2-1_088082_2023-10-09_final
2023-10-19 10:35:59	ga_ls8c_ard_3-2-1_103072_2023-10-19_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-11-12 11:26:14	ga_ls8c_ard_3-2-1_111074_2023-11-12_final
2023-11-18 09:13:32	ga_ls8c_ard_3-2-1_089082_2023-11-17_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-01-11 11:51:44	ga_ls8c_ard_3-2-1_115076_2024-01-11_final
2024-02-11 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-02-11_final
2024-02-18 09:35:18	ga_ls8c_ard_3-2-1_093075_2024-02-18_final
2024-03-01 09:57:56	ga_ls8c_ard_3-2-1_097070_2024-03-01_final
2024-03-09 09:13:10	ga_ls8c_ard_3-2-1_089082_2024-03-08_final
2024-03-15 11:51:26	ga_ls8c_ard_3-2-1_115076_2024-03-15_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