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

94 results

Time (local)	Label
2013-03-26 11:17:51	ga_ls8c_ard_3-0-0_109082_2013-03-26_final
2013-10-01 11:14:48	ga_ls8c_ard_3-0-0_109072_2013-10-01_final
2013-11-05 10:05:30	ga_ls8c_ard_3-0-0_098069_2013-11-05_final
2013-11-21 10:11:21	ga_ls8c_ard_3-0-0_098084_2013-11-21_final
2013-12-26 10:35:41	ga_ls8c_ard_3-0-0_103068_2013-12-26_final
2014-01-16 09:19:02	ga_ls8c_ard_3-0-0_090078_2014-01-15_final
2014-07-18 11:00:02	ga_ls8c_ard_3-0-0_107071_2014-07-18_final
2014-07-20 09:14:23	ga_ls8c_ard_3-0-0_089085_2014-07-19_final
2014-08-12 10:58:50	ga_ls8c_ard_3-0-0_106083_2014-08-12_final
2014-10-27 11:24:05	ga_ls8c_ard_3-0-0_110084_2014-10-27_final
2014-11-04 10:33:52	ga_ls8c_ard_3-0-0_102082_2014-11-04_final
2014-11-12 11:19:20	ga_ls8c_ard_3-0-0_110072_2014-11-12_final
2014-12-02 09:16:53	ga_ls8c_ard_3-0-0_090075_2014-12-01_final
2015-03-27 09:45:54	ga_ls8c_ard_3-0-0_095072_2015-03-27_final
2015-05-14 09:50:12	ga_ls8c_ard_3-0-0_095084_2015-05-14_final
2015-10-19 11:37:41	ga_ls8c_ard_3-0-0_113072_2015-10-19_final
2015-10-28 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-10-28_final
2015-11-02 10:12:26	ga_ls8c_ard_3-0-0_099075_2015-11-02_final
2016-05-21 10:07:44	ga_ls8c_ard_3-0-0_098080_2016-05-21_final
2016-06-03 09:34:07	ga_ls8c_ard_3-0-0_093073_2016-06-03_final
2016-06-12 09:33:09	ga_ls8c_ard_3-0-0_092086_2016-06-12_final
2016-06-19 09:33:46	ga_ls8c_ard_3-0-0_093072_2016-06-19_final
2016-07-25 10:49:00	ga_ls8c_ard_3-0-0_105074_2016-07-25_final
2016-11-03 09:34:12	ga_ls8c_ard_3-0-0_092087_2016-11-03_final
2016-11-24 11:26:02	ga_ls8c_ard_3-0-0_111073_2016-11-24_final
2017-02-02 10:46:15	ga_ls8c_ard_3-0-0_105067_2017-02-02_final
2017-02-05 09:45:01	ga_ls8c_ard_3-0-0_094084_2017-02-05_final
2017-02-19 11:29:24	ga_ls8c_ard_3-0-0_112067_2017-02-19_final
2017-03-14 11:42:10	ga_ls8c_ard_3-0-0_113084_2017-03-14_final
2017-04-28 09:33:09	ga_ls8c_ard_3-0-0_092087_2017-04-28_final
2017-05-25 10:50:08	ga_ls8c_ard_3-0-0_105078_2017-05-25_final
2017-05-27 10:36:12	ga_ls8c_ard_3-0-0_103074_2017-05-27_final
2017-07-28 09:12:03	ga_ls8c_ard_3-0-0_089079_2017-07-27_final
2017-09-22 09:58:56	ga_ls8c_ard_3-0-0_097072_2017-09-22_final
2017-10-03 11:20:33	ga_ls8c_ard_3-0-0_110075_2017-10-03_final
2017-10-19 11:18:13	ga_ls8c_ard_3-0-0_110069_2017-10-19_final
2017-10-26 11:25:35	ga_ls8c_ard_3-0-0_111072_2017-10-26_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-18 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-11-18_final
2017-11-20 11:20:07	ga_ls8c_ard_3-0-0_110074_2017-11-20_final
2018-02-28 10:53:18	ga_ls8c_ard_3-0-0_106070_2018-02-28_final
2018-06-13 10:48:40	ga_ls8c_ard_3-0-0_105076_2018-06-13_final
2018-08-24 09:56:40	ga_ls8c_ard_3-0-0_097068_2018-08-24_final
2018-09-16 10:09:21	ga_ls8c_ard_3-0-0_098084_2018-09-16_final
2018-09-19 10:39:04	ga_ls8c_ard_3-0-0_103081_2018-09-19_final
2018-10-08 09:29:15	ga_ls8c_ard_3-0-0_092076_2018-10-07_final
2018-10-12 10:45:50	ga_ls8c_ard_3-0-0_104082_2018-10-12_final
2018-11-03 10:02:28	ga_ls8c_ard_3-2-1_098066_2018-11-03_final
2018-11-07 11:18:38	ga_ls8c_ard_3-0-0_110071_2018-11-07_final
2018-12-07 11:30:10	ga_ls8c_ard_3-0-0_112069_2018-12-07_final
2018-12-08 10:39:20	ga_ls8c_ard_3-0-0_103081_2018-12-08_final
2019-01-15 11:37:29	ga_ls8c_ard_3-0-0_113072_2019-01-15_final
2019-01-23 10:48:48	ga_ls8c_ard_3-0-0_105074_2019-01-23_final
2019-02-11 09:39:59	ga_ls8c_ard_3-0-0_094072_2019-02-11_final
2019-02-18 09:52:07	ga_ls8c_ard_3-0-0_095087_2019-02-18_final
2019-02-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2019-02-18_final
2019-03-30 10:35:24	ga_ls8c_ard_3-1-0_103072_2019-03-30_final
2019-06-14 09:28:17	ga_ls8c_ard_3-1-0_091089_2019-06-13_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-07-10 10:01:53	ga_ls8c_ard_3-1-0_097080_2019-07-10_final
2019-07-23 11:11:31	ga_ls8c_ard_3-1-0_108084_2019-07-23_final
2019-08-09 10:09:38	ga_ls8c_ard_3-1-0_099068_2019-08-09_final
2019-10-07 11:30:39	ga_ls8c_ard_3-1-0_112069_2019-10-07_final
2019-10-27 09:31:27	ga_ls8c_ard_3-1-0_092080_2019-10-27_final
2019-12-01 10:00:41	ga_ls8c_ard_3-1-0_097076_2019-12-01_final
2019-12-02 10:42:45	ga_ls8c_ard_3-1-0_104073_2019-12-02_final
2019-12-19 11:26:22	ga_ls8c_ard_3-2-0_111074_2019-12-19_final
2020-07-19 10:09:37	ga_ls8c_ard_3-1-0_098084_2020-07-19_final
2020-08-20 11:46:17	ga_ls8c_ard_3-1-0_114078_2020-08-20_final
2020-12-07 09:39:59	ga_ls8c_ard_3-1-0_093086_2020-12-07_final
2020-12-18 10:59:07	ga_ls8c_ard_3-2-0_106083_2020-12-18_final
2021-02-04 09:22:24	ga_ls8c_ard_3-2-0_090089_2021-02-03_final
2021-02-11 09:22:35	ga_ls8c_ard_3-2-0_091074_2021-02-10_final
2021-02-25 11:13:44	ga_ls8c_ard_3-2-0_109074_2021-02-25_final
2021-08-28 10:27:17	ga_ls8c_ard_3-2-0_101081_2021-08-28_final
2021-09-13 10:23:22	ga_ls8c_ard_3-2-0_101071_2021-09-13_final
2021-10-09 09:22:29	ga_ls8c_ard_3-2-0_091073_2021-10-08_final
2021-10-11 09:12:31	ga_ls8c_ard_3-2-0_089079_2021-10-10_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2022-01-06 09:20:32	ga_ls8c_ard_3-2-1_090084_2022-01-05_final
2022-01-15 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-01-15_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-03-19 11:44:31	ga_ls8c_ard_3-2-1_114074_2022-03-19_final
2022-04-13 09:57:00	ga_ls8c_ard_3-2-1_097068_2022-04-13_final
2022-05-07 09:15:58	ga_ls8c_ard_3-2-1_089089_2022-05-06_final
2022-05-28 11:09:52	ga_ls8c_ard_3-2-1_108080_2022-05-28_final
2022-08-06 10:29:44	ga_ls8c_ard_3-2-1_102071_2022-08-06_final
2022-11-22 10:54:31	ga_ls8c_ard_3-2-1_106071_2022-11-22_final
2023-03-14 09:20:16	ga_ls8c_ard_3-2-1_090084_2023-03-13_final
2023-05-16 10:09:36	ga_ls8c_ard_3-2-1_099070_2023-05-16_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-09-21 10:11:12	ga_ls8c_ard_3-2-1_099072_2023-09-21_final
2023-09-25 09:46:06	ga_ls8c_ard_3-2-1_095071_2023-09-25_final
2024-02-07 11:31:34	ga_ls8c_ard_3-2-1_112072_2024-02-07_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