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
2014-03-24 09:47:09	ga_ls8c_ard_3-0-0_095073_2014-03-24_final
2014-05-20 09:37:44	ga_ls8c_ard_3-0-0_094067_2014-05-20_final
2014-06-12 09:50:53	ga_ls8c_ard_3-0-0_095084_2014-06-12_final
2014-07-14 11:29:33	ga_ls8c_ard_3-0-0_111083_2014-07-14_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-12-04 11:52:56	ga_ls8c_ard_3-0-0_115079_2015-12-04_final
2015-12-08 11:26:12	ga_ls8c_ard_3-0-0_111074_2015-12-08_final
2015-12-31 11:35:58	ga_ls8c_ard_3-0-0_112083_2015-12-31_final
2016-01-16 11:32:21	ga_ls8c_ard_3-0-0_112074_2016-01-16_final
2016-02-24 11:37:33	ga_ls8c_ard_3-0-0_113072_2016-02-24_final
2016-03-13 11:23:08	ga_ls8c_ard_3-0-0_111067_2016-03-13_final
2016-04-21 11:30:12	ga_ls8c_ard_3-0-0_112070_2016-04-21_final
2016-06-17 11:24:11	ga_ls8c_ard_3-0-0_111070_2016-06-17_final
2016-08-29 09:45:11	ga_ls8c_ard_3-0-0_094084_2016-08-29_final
2016-09-08 11:58:24	ga_ls8c_ard_3-0-0_116077_2016-09-08_final
2017-01-02 11:29:41	ga_ls8c_ard_3-0-0_112067_2017-01-02_final
2017-04-26 09:37:34	ga_ls8c_ard_3-0-0_094067_2017-04-26_final
2017-07-11 11:41:38	ga_ls8c_ard_3-0-0_114067_2017-07-11_final
2017-11-18 11:32:30	ga_ls8c_ard_3-0-0_112074_2017-11-18_final
2017-12-12 09:06:29	ga_ls8c_ard_3-0-0_088080_2017-12-11_final
2018-03-10 11:31:29	ga_ls8c_ard_3-0-0_112073_2018-03-10_final
2018-06-23 09:45:47	ga_ls8c_ard_3-0-0_095073_2018-06-23_final
2018-07-23 11:36:52	ga_ls8c_ard_3-0-0_113072_2018-07-23_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-09-04 09:39:24	ga_ls8c_ard_3-0-0_094071_2018-09-04_final
2018-10-22 09:39:42	ga_ls8c_ard_3-0-0_094071_2018-10-22_final
2018-10-27 11:35:33	ga_ls8c_ard_3-0-0_113067_2018-10-27_final
2018-11-14 09:45:56	ga_ls8c_ard_3-0-0_095071_2018-11-14_final
2019-02-11 09:39:35	ga_ls8c_ard_3-0-0_094071_2019-02-11_final
2019-02-25 11:31:34	ga_ls8c_ard_3-0-0_112073_2019-02-25_final
2019-03-06 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-03-06_final
2019-03-15 09:39:25	ga_ls8c_ard_3-1-0_094071_2019-03-15_final
2019-05-16 11:30:15	ga_ls8c_ard_3-0-0_112070_2019-05-16_final
2019-05-18 09:39:49	ga_ls8c_ard_3-0-0_094072_2019-05-18_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2020-01-11 11:33:15	ga_ls8c_ard_3-1-0_112076_2020-01-11_final
2020-09-25 09:40:31	ga_ls8c_ard_3-1-0_094072_2020-09-25_final
2020-10-17 09:07:52	ga_ls8c_ard_3-1-0_088083_2020-10-16_final
2020-11-26 11:32:36	ga_ls8c_ard_3-1-0_112074_2020-11-26_final
2020-12-01 11:53:09	ga_ls8c_ard_3-1-0_115079_2020-12-01_final
2021-03-26 09:06:08	ga_ls8c_ard_3-2-0_088080_2021-03-25_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-05-08 10:26:11	ga_ls8c_ard_3-2-0_101080_2021-05-08_final
2021-05-14 11:23:16	ga_ls8c_ard_3-2-0_111068_2021-05-14_final
2021-05-18 11:04:34	ga_ls8c_ard_3-2-0_107083_2021-05-18_final
2021-06-08 09:38:01	ga_ls8c_ard_3-2-0_094067_2021-06-08_final
2021-06-26 11:09:49	ga_ls8c_ard_3-2-0_108080_2021-06-26_final
2021-07-01 11:24:47	ga_ls8c_ard_3-2-0_111071_2021-07-01_final
2021-08-23 10:03:56	ga_ls8c_ard_3-2-0_098069_2021-08-23_final
2021-11-09 10:19:41	ga_ls8c_ard_3-2-0_100077_2021-11-09_final
2021-11-24 11:14:28	ga_ls8c_ard_3-2-0_109075_2021-11-24_final
2021-11-28 09:10:53	ga_ls8c_ard_3-2-0_089075_2021-11-27_final
2022-01-11 09:40:40	ga_ls8c_ard_3-2-1_093088_2022-01-11_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-01-23 10:03:20	ga_ls8c_ard_3-2-1_097083_2022-01-23_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-02-01 11:32:24	ga_ls8c_ard_3-2-1_112074_2022-02-01_final
2022-02-08 09:58:53	ga_ls8c_ard_3-2-1_097072_2022-02-08_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-21 10:48:49	ga_ls8c_ard_3-2-1_105074_2022-04-21_final
2022-04-27 11:50:58	ga_ls8c_ard_3-2-1_115075_2022-04-27_final
2022-05-01 09:52:10	ga_ls8c_ard_3-2-1_095087_2022-05-01_final
2022-05-24 09:51:43	ga_ls8c_ard_3-2-1_096070_2022-05-24_final
2022-05-26 11:22:14	ga_ls8c_ard_3-2-1_110080_2022-05-26_final
2022-06-02 11:24:06	ga_ls8c_ard_3-2-1_111069_2022-06-02_final
2022-06-16 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-06-16_final
2022-07-30 10:26:17	ga_ls8c_ard_3-2-1_101078_2022-07-30_final
2022-09-10 09:23:29	ga_ls8c_ard_3-2-1_091075_2022-09-09_final
2022-09-10 11:05:57	ga_ls8c_ard_3-2-1_107084_2022-09-10_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2022-10-18 10:26:02	ga_ls8c_ard_3-2-1_101077_2022-10-18_final
2022-11-11 09:35:02	ga_ls8c_ard_3-2-1_093073_2022-11-11_final
2022-12-08 09:17:39	ga_ls8c_ard_3-2-1_090076_2022-12-07_final
2022-12-16 10:04:37	ga_ls8c_ard_3-2-1_098070_2022-12-16_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-01-24 10:09:05	ga_ls8c_ard_3-2-1_099066_2023-01-24_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-03-17 11:29:37	ga_ls8c_ard_3-2-1_111083_2023-03-17_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-06-25 11:01:16	ga_ls8c_ard_3-2-1_107075_2023-06-25_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_final
2023-07-28 10:07:32	ga_ls8c_ard_3-2-1_098079_2023-07-28_final
2023-08-01 11:20:09	ga_ls8c_ard_3-2-1_110075_2023-08-01_final
2023-08-07 10:42:17	ga_ls8c_ard_3-2-1_104073_2023-08-07_final
2023-08-14 09:10:25	ga_ls8c_ard_3-2-1_089075_2023-08-13_final
2023-08-20 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-08-20_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-08-28 09:27:40	ga_ls8c_ard_3-2-1_091087_2023-08-27_final
2023-09-15 10:49:51	ga_ls8c_ard_3-2-1_105076_2023-09-15_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-20 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-12-20_final
2024-01-19 09:23:47	ga_ls8c_ard_3-2-1_091077_2024-01-18_final
2024-01-20 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-01-20_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-02-21 11:44:41	ga_ls8c_ard_3-2-1_114074_2024-02-21_final
2024-02-24 10:34:41	ga_ls8c_ard_3-2-1_103069_2024-02-24_final
2024-03-19 09:46:59	ga_ls8c_ard_3-2-1_095074_2024-03-19_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_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