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
2013-06-25 11:25:38	ga_ls8c_ard_3-0-0_111068_2013-06-25_final
2013-08-30 11:16:34	ga_ls8c_ard_3-0-0_109076_2013-08-30_final
2014-02-22 11:14:54	ga_ls8c_ard_3-0-0_109075_2014-02-22_final
2014-03-08 11:30:38	ga_ls8c_ard_3-0-0_111084_2014-03-08_final
2014-04-25 11:25:56	ga_ls8c_ard_3-0-0_111074_2014-04-25_final
2014-11-12 11:20:56	ga_ls8c_ard_3-0-0_110076_2014-11-12_final
2015-02-14 11:29:16	ga_ls8c_ard_3-0-0_112067_2015-02-14_final
2015-02-21 11:41:51	ga_ls8c_ard_3-0-0_113083_2015-02-21_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-07-01 11:23:53	ga_ls8c_ard_3-0-0_111070_2015-07-01_final
2016-01-16 11:32:21	ga_ls8c_ard_3-0-0_112074_2016-01-16_final
2016-02-23 10:58:16	ga_ls8c_ard_3-0-0_106082_2016-02-23_final
2016-03-11 11:38:18	ga_ls8c_ard_3-0-0_113074_2016-03-11_final
2016-07-28 11:17:07	ga_ls8c_ard_3-0-0_110067_2016-07-28_final
2016-10-11 11:00:05	ga_ls8c_ard_3-0-0_107070_2016-10-11_final
2016-10-27 11:00:31	ga_ls8c_ard_3-0-0_107071_2016-10-27_final
2017-01-18 11:34:48	ga_ls8c_ard_3-0-0_112080_2017-01-18_final
2017-03-09 11:19:41	ga_ls8c_ard_3-0-0_110074_2017-03-09_final
2017-08-09 11:13:44	ga_ls8c_ard_3-0-0_109074_2017-08-09_final
2017-10-03 11:19:45	ga_ls8c_ard_3-0-0_110073_2017-10-03_final
2017-10-14 11:04:51	ga_ls8c_ard_3-1-0_107082_2017-10-14_final
2017-10-24 11:41:09	ga_ls8c_ard_3-0-0_113080_2017-10-24_final
2017-10-28 11:14:26	ga_ls8c_ard_3-0-0_109075_2017-10-28_final
2017-12-24 11:09:20	ga_ls8c_ard_3-0-0_108078_2017-12-24_final
2018-07-02 11:16:58	ga_ls8c_ard_3-0-0_110069_2018-07-02_final
2018-09-30 11:57:31	ga_ls8c_ard_3-0-0_116076_2018-09-30_final
2018-10-06 11:17:41	ga_ls8c_ard_3-0-0_110069_2018-10-06_final
2018-10-13 11:29:54	ga_ls8c_ard_3-0-0_111084_2018-10-13_final
2018-12-20 11:03:38	ga_ls8c_ard_3-0-0_107080_2018-12-20_final
2019-03-29 11:31:49	ga_ls8c_ard_3-1-0_112074_2019-03-29_final
2019-04-07 11:26:24	ga_ls8c_ard_3-1-0_111076_2019-04-07_final
2019-04-14 11:28:57	ga_ls8c_ard_3-1-0_112067_2019-04-14_final
2020-02-05 11:23:21	ga_ls8c_ard_3-1-0_111067_2020-02-05_final
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-09-09 11:17:19	ga_ls8c_ard_3-1-0_110067_2020-09-09_final
2020-11-10 11:36:08	ga_ls8c_ard_3-1-0_112083_2020-11-10_final
2020-11-30 09:26:13	ga_ls8c_ard_3-1-0_092067_2020-11-29_final
2021-01-31 11:24:02	ga_ls8c_ard_3-2-0_110084_2021-01-31_final
2021-02-04 09:22:48	ga_ls8c_ard_3-2-0_090090_2021-02-03_final
2021-02-18 11:11:36	ga_ls8c_ard_3-2-0_108084_2021-02-18_final
2021-03-09 09:56:41	ga_ls8c_ard_3-2-0_097067_2021-03-09_final
2021-03-13 11:12:48	ga_ls8c_ard_3-2-0_109072_2021-03-13_final
2021-04-14 11:12:37	ga_ls8c_ard_3-2-0_109072_2021-04-14_final
2021-05-27 09:21:35	ga_ls8c_ard_3-2-0_090088_2021-05-26_final
2021-07-25 10:35:03	ga_ls8c_ard_3-2-0_103070_2021-07-25_final
2021-08-13 09:33:35	ga_ls8c_ard_3-2-0_092086_2021-08-13_final
2021-09-19 11:26:23	ga_ls8c_ard_3-2-0_111074_2021-09-19_final
2021-09-23 09:23:11	ga_ls8c_ard_3-2-0_091075_2021-09-22_final
2021-10-02 09:17:28	ga_ls8c_ard_3-2-0_090076_2021-10-01_final
2021-10-16 09:26:18	ga_ls8c_ard_3-2-0_092067_2021-10-15_final
2021-11-06 11:26:30	ga_ls8c_ard_3-2-0_111074_2021-11-06_final
2021-11-11 10:03:44	ga_ls8c_ard_3-2-0_098068_2021-11-11_final
2021-11-22 09:51:08	ga_ls8c_ard_3-2-0_095083_2021-11-22_final
2021-12-08 11:24:51	ga_ls8c_ard_3-2-1_111070_2021-12-08_final
2022-01-20 11:11:44	ga_ls8c_ard_3-2-1_108084_2022-01-20_final
2022-02-10 11:25:00	ga_ls8c_ard_3-2-1_111071_2022-02-10_final
2022-02-12 09:33:44	ga_ls8c_ard_3-2-1_093071_2022-02-12_final
2022-02-21 09:33:05	ga_ls8c_ard_3-2-1_092085_2022-02-21_final
2022-04-12 09:16:31	ga_ls8c_ard_3-2-1_090075_2022-04-11_final
2022-05-06 10:04:00	ga_ls8c_ard_3-2-1_098070_2022-05-06_final
2022-08-16 09:34:22	ga_ls8c_ard_3-2-1_092087_2022-08-16_final
2022-08-22 10:29:24	ga_ls8c_ard_3-2-1_102070_2022-08-22_final
2022-08-30 11:20:26	ga_ls8c_ard_3-2-1_110074_2022-08-30_final
2022-09-08 11:17:30	ga_ls8c_ard_3-2-1_109082_2022-09-08_final
2022-09-29 09:52:26	ga_ls8c_ard_3-2-1_096070_2022-09-29_final
2022-10-07 10:43:25	ga_ls8c_ard_3-2-1_104074_2022-10-07_final
2022-12-20 09:41:26	ga_ls8c_ard_3-2-1_094074_2022-12-20_final
2022-12-20 11:19:55	ga_ls8c_ard_3-2-1_110073_2022-12-20_final
2023-01-09 09:22:17	ga_ls8c_ard_3-2-1_090088_2023-01-08_final
2023-01-19 11:36:33	ga_ls8c_ard_3-2-1_112084_2023-01-19_final
2023-01-31 10:17:17	ga_ls8c_ard_3-2-1_100071_2023-01-31_final
2023-02-02 11:47:48	ga_ls8c_ard_3-2-1_114081_2023-02-02_final
2023-03-03 09:38:05	ga_ls8c_ard_3-2-1_093082_2023-03-03_final
2023-03-03 11:12:34	ga_ls8c_ard_3-2-1_109071_2023-03-03_final
2023-03-23 09:11:10	ga_ls8c_ard_3-2-1_089077_2023-03-22_final
2023-04-18 11:24:49	ga_ls8c_ard_3-2-1_111072_2023-04-18_final
2023-04-29 09:28:09	ga_ls8c_ard_3-2-1_092074_2023-04-28_final
2023-05-17 09:21:09	ga_ls8c_ard_3-2-1_090088_2023-05-16_final
2023-06-09 09:26:17	ga_ls8c_ard_3-2-1_091085_2023-06-08_final
2023-07-02 09:31:04	ga_ls8c_ard_3-2-1_092081_2023-07-02_final
2023-07-09 11:11:25	ga_ls8c_ard_3-2-1_109069_2023-07-09_final
2023-07-18 09:29:58	ga_ls8c_ard_3-2-1_092078_2023-07-17_final
2023-08-30 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-08-29_final
2023-08-30 10:49:48	ga_ls8c_ard_3-2-1_105076_2023-08-30_final
2023-09-20 09:29:08	ga_ls8c_ard_3-2-1_092075_2023-09-19_final
2023-09-21 10:15:11	ga_ls8c_ard_3-2-1_099082_2023-09-21_final
2023-09-27 09:34:33	ga_ls8c_ard_3-2-1_093073_2023-09-27_final
2023-10-30 10:17:31	ga_ls8c_ard_3-2-1_100072_2023-10-30_final
2023-10-31 09:23:30	ga_ls8c_ard_3-2-1_091076_2023-10-30_final
2023-11-02 09:14:43	ga_ls8c_ard_3-2-1_089085_2023-11-01_final
2023-11-04 10:40:02	ga_ls8c_ard_3-2-1_103082_2023-11-04_final
2023-12-23 09:40:02	ga_ls8c_ard_3-2-1_094071_2023-12-23_final
2024-01-15 09:47:44	ga_ls8c_ard_3-2-1_095075_2024-01-15_final
2024-01-19 09:26:35	ga_ls8c_ard_3-2-1_091084_2024-01-18_final
2024-02-04 11:01:51	ga_ls8c_ard_3-2-1_107075_2024-02-04_final
2024-02-06 09:13:25	ga_ls8c_ard_3-2-1_089082_2024-02-05_final
2024-02-13 09:21:59	ga_ls8c_ard_3-2-1_090088_2024-02-12_final
2024-02-14 10:01:38	ga_ls8c_ard_3-2-1_097079_2024-02-14_final
2024-02-22 10:49:51	ga_ls8c_ard_3-2-1_105076_2024-02-22_final
2024-03-09 09:15:58	ga_ls8c_ard_3-2-1_089089_2024-03-08_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