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
2013-09-12 09:09:08	ga_ls8c_ard_3-0-0_088082_2013-09-11_final
2014-07-07 09:40:03	ga_ls8c_ard_3-0-0_094072_2014-07-07_final
2015-04-12 09:44:59	ga_ls8c_ard_3-0-0_095070_2015-04-12_final
2015-08-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2015-08-18_final
2015-11-18 11:52:56	ga_ls8c_ard_3-0-0_115079_2015-11-18_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2016-07-12 09:38:10	ga_ls8c_ard_3-0-0_094067_2016-07-12_final
2016-09-14 09:40:03	ga_ls8c_ard_3-0-0_094071_2016-09-14_final
2016-09-14 09:45:14	ga_ls8c_ard_3-0-0_094084_2016-09-14_final
2016-11-17 09:40:58	ga_ls8c_ard_3-0-0_094073_2016-11-17_final
2017-10-10 09:52:40	ga_ls8c_ard_3-0-0_095087_2017-10-10_final
2017-12-12 09:07:17	ga_ls8c_ard_3-0-0_088082_2017-12-11_final
2018-08-19 09:39:17	ga_ls8c_ard_3-0-0_094071_2018-08-19_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2019-03-15 09:40:37	ga_ls8c_ard_3-1-0_094074_2019-03-15_final
2019-06-25 09:06:37	ga_ls8c_ard_3-1-0_088081_2019-06-24_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-04-02 09:43:06	ga_ls8c_ard_3-1-0_094080_2020-04-02_final
2020-07-23 09:38:08	ga_ls8c_ard_3-1-0_094067_2020-07-23_final
2020-09-28 11:51:54	ga_ls8c_ard_3-1-0_115076_2020-09-28_final
2020-10-23 11:42:10	ga_ls8c_ard_3-1-0_114067_2020-10-23_final
2021-03-11 09:46:42	ga_ls8c_ard_3-2-0_095073_2021-03-11_final
2021-03-13 09:33:31	ga_ls8c_ard_3-2-0_093071_2021-03-13_final
2021-03-22 11:05:22	ga_ls8c_ard_3-2-0_108069_2021-03-22_final
2021-04-28 09:46:23	ga_ls8c_ard_3-2-0_095073_2021-04-28_final
2021-05-18 09:22:30	ga_ls8c_ard_3-2-0_091075_2021-05-17_final
2021-05-27 09:16:48	ga_ls8c_ard_3-2-0_090076_2021-05-26_final
2021-06-15 09:45:50	ga_ls8c_ard_3-2-0_095071_2021-06-15_final
2021-06-27 11:51:29	ga_ls8c_ard_3-2-0_115076_2021-06-27_final
2021-07-22 10:07:19	ga_ls8c_ard_3-2-0_098078_2021-07-22_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_final
2021-09-10 11:30:08	ga_ls8c_ard_3-2-0_112068_2021-09-10_final
2021-09-15 11:52:41	ga_ls8c_ard_3-2-0_115078_2021-09-15_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-11-08 11:14:07	ga_ls8c_ard_3-2-0_109074_2021-11-08_final
2021-11-10 09:28:27	ga_ls8c_ard_3-2-0_091088_2021-11-09_final
2021-11-24 09:35:59	ga_ls8c_ard_3-2-0_093076_2021-11-24_final
2021-12-23 09:07:03	ga_ls8c_ard_3-2-1_088081_2021-12-22_final
2022-01-08 10:46:15	ga_ls8c_ard_3-2-1_104082_2022-01-08_final
2022-01-15 10:48:02	ga_ls8c_ard_3-2-1_105071_2022-01-15_final
2022-01-23 10:00:08	ga_ls8c_ard_3-2-1_097075_2022-01-23_final
2022-03-18 11:00:04	ga_ls8c_ard_3-2-1_107071_2022-03-18_final
2022-03-18 11:01:16	ga_ls8c_ard_3-2-1_107074_2022-03-18_final
2022-04-03 09:21:25	ga_ls8c_ard_3-2-1_091072_2022-04-02_final
2022-04-06 11:31:38	ga_ls8c_ard_3-2-1_112073_2022-04-06_final
2022-04-12 09:17:19	ga_ls8c_ard_3-2-1_090077_2022-04-11_final
2022-04-24 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-24_final
2022-04-26 11:07:19	ga_ls8c_ard_3-2-1_108074_2022-04-26_final
2022-06-09 11:34:46	ga_ls8c_ard_3-2-1_112080_2022-06-09_final
2022-06-15 09:17:16	ga_ls8c_ard_3-2-1_090076_2022-06-14_final
2022-09-06 09:46:58	ga_ls8c_ard_3-2-1_095072_2022-09-06_final
2022-09-11 10:10:20	ga_ls8c_ard_3-2-1_098084_2022-09-11_final
2022-09-19 09:23:20	ga_ls8c_ard_3-2-1_090090_2022-09-18_final
2022-10-12 11:03:05	ga_ls8c_ard_3-2-1_107077_2022-10-12_final
2022-10-17 09:40:45	ga_ls8c_ard_3-2-1_094072_2022-10-17_final
2022-10-19 09:33:13	ga_ls8c_ard_3-2-1_092084_2022-10-19_final
2022-10-27 10:21:55	ga_ls8c_ard_3-2-1_100082_2022-10-27_final
2022-10-28 09:27:30	ga_ls8c_ard_3-2-1_091085_2022-10-27_final
2022-11-04 09:34:30	ga_ls8c_ard_3-2-1_092087_2022-11-04_final
2022-11-05 10:14:09	ga_ls8c_ard_3-2-1_099078_2022-11-05_final
2022-11-18 11:20:25	ga_ls8c_ard_3-2-1_110074_2022-11-18_final
2022-11-25 11:24:39	ga_ls8c_ard_3-2-1_111069_2022-11-25_final
2022-12-04 11:20:28	ga_ls8c_ard_3-2-1_110074_2022-12-04_final
2022-12-31 09:22:54	ga_ls8c_ard_3-2-1_091074_2022-12-30_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-09 10:53:11	ga_ls8c_ard_3-2-1_106068_2023-01-09_final
2023-01-10 10:03:08	ga_ls8c_ard_3-2-1_097082_2023-01-10_final
2023-01-21 11:19:50	ga_ls8c_ard_3-2-1_110073_2023-01-21_final
2023-01-25 10:54:45	ga_ls8c_ard_3-2-1_106072_2023-01-25_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-02-20 09:51:58	ga_ls8c_ard_3-2-1_096070_2023-02-20_final
2023-06-02 10:52:06	ga_ls8c_ard_3-2-1_106068_2023-06-02_final
2023-06-12 11:31:42	ga_ls8c_ard_3-2-1_112074_2023-06-12_final
2023-06-20 10:41:54	ga_ls8c_ard_3-2-1_104073_2023-06-20_final
2023-06-24 11:58:05	ga_ls8c_ard_3-2-1_116078_2023-06-24_final
2023-07-07 09:51:40	ga_ls8c_ard_3-2-1_095086_2023-07-07_final
2023-07-19 10:13:37	ga_ls8c_ard_3-2-1_099079_2023-07-19_final
2023-08-04 10:08:35	ga_ls8c_ard_3-2-1_099066_2023-08-04_final
2023-08-04 10:10:35	ga_ls8c_ard_3-2-1_099071_2023-08-04_final
2023-08-09 10:28:19	ga_ls8c_ard_3-2-1_102069_2023-08-09_final
2023-08-22 11:41:37	ga_ls8c_ard_3-2-1_113082_2023-08-22_final
2023-09-06 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-09-05_final
2023-09-06 10:55:09	ga_ls8c_ard_3-2-1_106074_2023-09-06_final
2023-10-03 10:34:22	ga_ls8c_ard_3-2-1_103068_2023-10-03_final
2023-10-08 10:54:31	ga_ls8c_ard_3-2-1_106072_2023-10-08_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-11-02 09:11:56	ga_ls8c_ard_3-2-1_089078_2023-11-01_final
2023-11-14 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-11-14_final
2023-11-27 09:07:46	ga_ls8c_ard_3-2-1_088083_2023-11-26_final
2023-12-03 10:09:54	ga_ls8c_ard_3-2-1_098084_2023-12-03_final
2023-12-13 10:40:36	ga_ls8c_ard_3-2-1_104068_2023-12-13_final
2023-12-26 10:14:07	ga_ls8c_ard_3-2-1_099079_2023-12-26_final
2023-12-27 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-12-27_final
2024-01-03 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-03_final
2024-01-08 11:20:00	ga_ls8c_ard_3-2-1_110074_2024-01-08_final
2024-02-22 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-02-22_final
2024-03-09 10:46:28	ga_ls8c_ard_3-2-1_105068_2024-03-09_final
2024-03-19 11:25:28	ga_ls8c_ard_3-2-1_111073_2024-03-19_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_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