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
2013-09-29 09:53:28	ga_ls8c_ard_3-0-0_095085_2013-09-29_final
2015-01-15 09:41:51	ga_ls8c_ard_3-0-0_094076_2015-01-15_final
2015-01-22 09:49:09	ga_ls8c_ard_3-0-0_095079_2015-01-22_final
2015-02-16 09:44:49	ga_ls8c_ard_3-0-0_094084_2015-02-16_final
2016-07-15 11:52:21	ga_ls8c_ard_3-0-0_115078_2016-07-15_final
2016-09-04 09:06:32	ga_ls8c_ard_3-0-0_088080_2016-09-03_final
2016-11-08 09:51:31	ga_ls8c_ard_3-0-0_095084_2016-11-08_final
2017-04-16 09:06:11	ga_ls8c_ard_3-1-0_088081_2017-04-15_final
2017-11-11 09:47:28	ga_ls8c_ard_3-0-0_095074_2017-11-11_final
2017-12-22 09:38:26	ga_ls8c_ard_3-0-0_094067_2017-12-22_final
2018-01-07 09:40:44	ga_ls8c_ard_3-0-0_094073_2018-01-07_final
2018-03-28 09:44:53	ga_ls8c_ard_3-0-0_094085_2018-03-28_final
2018-04-20 09:46:28	ga_ls8c_ard_3-0-0_095074_2018-04-20_final
2018-06-07 09:50:23	ga_ls8c_ard_3-0-0_095085_2018-06-07_final
2018-08-19 09:39:41	ga_ls8c_ard_3-0-0_094072_2018-08-19_final
2019-02-18 09:51:43	ga_ls8c_ard_3-0-0_095086_2019-02-18_final
2019-03-18 11:51:12	ga_ls8c_ard_3-1-0_115076_2019-03-18_final
2019-11-17 09:47:56	ga_ls8c_ard_3-1-0_095075_2019-11-17_final
2020-05-07 11:50:37	ga_ls8c_ard_3-1-0_115075_2020-05-07_final
2020-05-11 09:45:48	ga_ls8c_ard_3-1-0_095072_2020-05-11_final
2020-05-14 11:58:00	ga_ls8c_ard_3-1-0_116078_2020-05-14_final
2020-05-23 11:51:51	ga_ls8c_ard_3-1-0_115078_2020-05-23_final
2020-08-11 10:08:42	ga_ls8c_ard_3-2-1_099066_2020-08-11_final
2021-03-15 09:23:32	ga_ls8c_ard_3-2-0_091077_2021-03-14_final
2021-03-25 09:57:22	ga_ls8c_ard_3-2-0_097069_2021-03-25_final
2021-04-09 09:22:01	ga_ls8c_ard_3-2-0_090089_2021-04-08_final
2021-04-27 10:40:01	ga_ls8c_ard_3-2-0_104068_2021-04-27_final
2021-05-27 09:17:12	ga_ls8c_ard_3-2-0_090077_2021-05-26_final
2021-05-27 09:20:48	ga_ls8c_ard_3-2-0_090086_2021-05-26_final
2021-05-29 09:06:03	ga_ls8c_ard_3-2-0_088080_2021-05-28_final
2021-06-21 09:11:59	ga_ls8c_ard_3-2-0_089079_2021-06-20_final
2021-07-05 09:28:46	ga_ls8c_ard_3-2-0_091090_2021-07-04_final
2021-07-05 11:00:04	ga_ls8c_ard_3-2-0_107071_2021-07-05_final
2021-07-28 09:28:41	ga_ls8c_ard_3-2-0_092074_2021-07-27_final
2021-08-13 09:29:36	ga_ls8c_ard_3-2-0_092076_2021-08-12_final
2021-08-18 11:23:27	ga_ls8c_ard_3-2-0_111067_2021-08-18_final
2021-08-27 11:18:30	ga_ls8c_ard_3-2-0_110070_2021-08-27_final
2021-08-29 11:11:21	ga_ls8c_ard_3-2-0_108083_2021-08-29_final
2021-09-23 09:23:11	ga_ls8c_ard_3-2-0_091075_2021-09-22_final
2021-09-28 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-09-28_final
2021-09-28 09:41:21	ga_ls8c_ard_3-2-0_094074_2021-09-28_final
2021-10-19 09:58:24	ga_ls8c_ard_3-2-0_097070_2021-10-19_final
2021-11-08 11:12:08	ga_ls8c_ard_3-2-0_109069_2021-11-08_final
2021-11-11 10:04:08	ga_ls8c_ard_3-2-0_098069_2021-11-11_final
2021-12-26 11:12:25	ga_ls8c_ard_3-2-1_109070_2021-12-26_final
2022-01-02 09:40:04	ga_ls8c_ard_3-2-1_094071_2022-01-02_final
2022-02-10 09:46:31	ga_ls8c_ard_3-2-1_095072_2022-02-10_final
2022-02-28 09:34:04	ga_ls8c_ard_3-2-1_093072_2022-02-28_final
2022-03-03 10:03:22	ga_ls8c_ard_3-2-1_098068_2022-03-03_final
2022-03-20 09:13:59	ga_ls8c_ard_3-2-1_089084_2022-03-19_final
2022-03-23 11:18:57	ga_ls8c_ard_3-2-1_110072_2022-03-23_final
2022-04-03 09:23:25	ga_ls8c_ard_3-2-1_091077_2022-04-02_final
2022-05-03 11:16:44	ga_ls8c_ard_3-2-1_109082_2022-05-03_final
2022-05-05 11:05:12	ga_ls8c_ard_3-2-1_107084_2022-05-05_final
2022-05-13 11:52:43	ga_ls8c_ard_3-2-1_115079_2022-05-13_final
2022-05-31 10:03:32	ga_ls8c_ard_3-2-1_097084_2022-05-31_final
2022-09-02 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-09-02_final
2022-09-08 11:17:30	ga_ls8c_ard_3-2-1_109082_2022-09-08_final
2022-09-11 10:07:09	ga_ls8c_ard_3-2-1_098076_2022-09-11_final
2022-10-25 10:28:41	ga_ls8c_ard_3-2-1_102068_2022-10-25_final
2022-10-30 09:15:33	ga_ls8c_ard_3-2-1_089086_2022-10-29_final
2022-11-07 10:02:11	ga_ls8c_ard_3-2-1_097079_2022-11-07_final
2022-11-08 10:46:38	ga_ls8c_ard_3-2-1_104082_2022-11-08_final
2022-11-18 09:41:32	ga_ls8c_ard_3-2-1_094074_2022-11-18_final
2022-12-11 11:26:37	ga_ls8c_ard_3-2-1_111074_2022-12-11_final
2023-02-01 09:26:51	ga_ls8c_ard_3-2-1_091084_2023-01-31_final
2023-02-24 09:29:08	ga_ls8c_ard_3-2-1_092075_2023-02-23_final
2023-03-08 11:32:15	ga_ls8c_ard_3-2-1_112074_2023-03-08_final
2023-03-11 10:23:52	ga_ls8c_ard_3-2-1_101073_2023-03-11_final
2023-03-20 11:58:05	ga_ls8c_ard_3-2-1_116077_2023-03-20_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-05-10 10:47:56	ga_ls8c_ard_3-2-1_105073_2023-05-10_final
2023-05-17 10:52:51	ga_ls8c_ard_3-2-1_106070_2023-05-17_final
2023-06-06 10:27:26	ga_ls8c_ard_3-2-1_102068_2023-06-06_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-07-22 09:06:03	ga_ls8c_ard_3-2-1_088080_2023-07-21_final
2023-08-12 09:26:20	ga_ls8c_ard_3-2-1_091084_2023-08-11_final
2023-08-17 09:44:33	ga_ls8c_ard_3-2-1_094083_2023-08-17_final
2023-08-22 09:59:09	ga_ls8c_ard_3-2-1_097073_2023-08-22_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-09-10 10:28:05	ga_ls8c_ard_3-2-1_102068_2023-09-10_final
2023-09-16 11:31:32	ga_ls8c_ard_3-2-1_112072_2023-09-16_final
2023-09-20 09:28:44	ga_ls8c_ard_3-2-1_092074_2023-09-19_final
2023-09-27 09:34:57	ga_ls8c_ard_3-2-1_093074_2023-09-27_final
2023-10-06 09:27:58	ga_ls8c_ard_3-2-1_092072_2023-10-05_final
2023-10-24 10:56:10	ga_ls8c_ard_3-2-1_106076_2023-10-24_final
2023-10-24 10:58:34	ga_ls8c_ard_3-2-1_106082_2023-10-24_final
2023-11-18 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-18_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-11-27 09:06:59	ga_ls8c_ard_3-2-1_088081_2023-11-26_final
2023-11-28 09:50:38	ga_ls8c_ard_3-2-1_095082_2023-11-28_final
2023-12-05 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-12-05_final
2023-12-20 10:50:01	ga_ls8c_ard_3-2-1_105076_2023-12-20_final
2023-12-21 09:53:36	ga_ls8c_ard_3-2-1_096074_2023-12-21_final
2023-12-27 10:53:47	ga_ls8c_ard_3-2-1_106070_2023-12-27_final
2023-12-28 11:38:38	ga_ls8c_ard_3-2-1_113074_2023-12-28_final
2024-01-17 11:12:15	ga_ls8c_ard_3-2-1_109070_2024-01-17_final
2024-01-21 09:10:12	ga_ls8c_ard_3-2-1_089074_2024-01-20_final
2024-02-08 10:34:21	ga_ls8c_ard_3-2-1_103068_2024-02-08_final
2024-03-19 11:24:40	ga_ls8c_ard_3-2-1_111071_2024-03-19_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