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
2013-04-06 10:10:41	ga_ls8c_ard_3-0-0_098085_2013-04-06_final
2013-05-31 09:53:50	ga_ls8c_ard_3-0-0_096070_2013-05-31_final
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-11-30 11:39:16	ga_ls8c_ard_3-0-0_113072_2013-11-30_final
2013-12-26 10:40:53	ga_ls8c_ard_3-0-0_103081_2013-12-26_final
2014-02-13 09:41:29	ga_ls8c_ard_3-0-0_094073_2014-02-13_final
2014-03-25 10:28:23	ga_ls8c_ard_3-0-0_102068_2014-03-25_final
2014-03-30 10:46:50	ga_ls8c_ard_3-0-0_105068_2014-03-30_final
2014-05-10 09:06:44	ga_ls8c_ard_3-0-0_088082_2014-05-09_final
2014-07-23 11:19:23	ga_ls8c_ard_3-0-0_110073_2014-07-23_final
2014-11-04 10:30:16	ga_ls8c_ard_3-0-0_102073_2014-11-04_final
2014-11-17 09:57:22	ga_ls8c_ard_3-0-0_097068_2014-11-17_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-05-18 09:23:54	ga_ls8c_ard_3-0-0_091080_2015-05-17_final
2015-07-12 09:33:46	ga_ls8c_ard_3-0-0_092088_2015-07-12_final
2015-12-06 11:38:35	ga_ls8c_ard_3-0-0_113074_2015-12-06_final
2016-01-20 09:28:45	ga_ls8c_ard_3-0-0_092074_2016-01-19_final
2016-02-02 10:37:05	ga_ls8c_ard_3-0-0_103075_2016-02-02_final
2016-03-20 11:30:27	ga_ls8c_ard_3-0-0_112070_2016-03-20_final
2016-06-24 09:57:57	ga_ls8c_ard_3-0-0_096086_2016-06-24_final
2016-07-08 10:09:38	ga_ls8c_ard_3-0-0_098084_2016-07-08_final
2016-09-30 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-30_final
2016-11-10 11:14:27	ga_ls8c_ard_3-0-0_109075_2016-11-10_final
2017-01-11 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-01-11_final
2017-01-11 11:25:28	ga_ls8c_ard_3-0-0_111072_2017-01-11_final
2017-02-12 11:25:14	ga_ls8c_ard_3-0-0_111072_2017-02-12_final
2017-02-25 10:53:28	ga_ls8c_ard_3-0-0_106070_2017-02-25_final
2017-03-20 10:59:50	ga_ls8c_ard_3-0-0_107071_2017-03-20_final
2017-04-17 11:25:55	ga_ls8c_ard_3-0-0_111075_2017-04-17_final
2017-04-21 09:22:16	ga_ls8c_ard_3-0-0_091075_2017-04-20_final
2017-05-06 10:21:24	ga_ls8c_ard_3-0-0_100084_2017-05-06_final
2017-08-02 11:08:19	ga_ls8c_ard_3-0-0_108076_2017-08-02_final
2017-08-28 10:09:50	ga_ls8c_ard_3-0-0_098084_2017-08-28_final
2017-08-28 10:10:14	ga_ls8c_ard_3-0-0_098085_2017-08-28_final
2017-09-03 11:06:51	ga_ls8c_ard_3-0-0_108072_2017-09-03_final
2017-11-17 10:48:27	ga_ls8c_ard_3-0-0_105072_2017-11-17_final
2017-12-02 10:04:17	ga_ls8c_ard_3-0-0_098070_2017-12-02_final
2017-12-13 11:25:51	ga_ls8c_ard_3-0-0_111073_2017-12-13_final
2018-02-08 09:39:40	ga_ls8c_ard_3-0-0_094071_2018-02-08_final
2018-03-31 11:51:52	ga_ls8c_ard_3-0-0_115078_2018-03-31_final
2018-04-13 09:37:34	ga_ls8c_ard_3-0-0_094067_2018-04-13_final
2018-06-10 11:56:13	ga_ls8c_ard_3-0-0_116075_2018-06-10_final
2018-06-16 09:39:55	ga_ls8c_ard_3-0-0_094074_2018-06-16_final
2018-07-05 10:13:00	ga_ls8c_ard_3-0-0_099079_2018-07-05_final
2018-07-22 10:52:24	ga_ls8c_ard_3-0-0_106069_2018-07-22_final
2018-08-08 10:03:19	ga_ls8c_ard_3-0-0_097085_2018-08-08_final
2018-09-05 10:22:40	ga_ls8c_ard_3-0-0_101071_2018-09-05_final
2018-09-22 11:06:48	ga_ls8c_ard_3-0-0_108073_2018-09-22_final
2019-01-29 10:08:54	ga_ls8c_ard_3-0-0_099067_2019-01-29_final
2019-05-27 09:34:32	ga_ls8c_ard_3-0-0_093074_2019-05-27_final
2019-06-17 11:31:18	ga_ls8c_ard_3-1-0_112072_2019-06-17_final
2019-07-15 10:20:02	ga_ls8c_ard_3-1-0_100079_2019-07-15_final
2019-07-30 09:34:29	ga_ls8c_ard_3-1-0_093073_2019-07-30_final
2019-07-30 11:13:22	ga_ls8c_ard_3-1-0_109073_2019-07-30_final
2019-08-15 11:17:51	ga_ls8c_ard_3-1-0_109084_2019-08-15_final
2019-09-04 10:47:13	ga_ls8c_ard_3-1-0_105069_2019-09-04_final
2019-10-06 10:49:46	ga_ls8c_ard_3-1-0_105075_2019-10-06_final
2020-01-01 10:55:00	ga_ls8c_ard_3-1-0_106073_2020-01-01_final
2020-02-10 10:03:24	ga_ls8c_ard_3-1-0_098068_2020-02-10_final
2020-03-06 09:59:29	ga_ls8c_ard_3-1-0_097074_2020-03-06_final
2020-03-20 11:51:25	ga_ls8c_ard_3-1-0_115076_2020-03-20_final
2020-04-20 11:06:42	ga_ls8c_ard_3-1-0_108073_2020-04-20_final
2020-05-25 10:03:00	ga_ls8c_ard_3-1-0_097084_2020-05-25_final
2020-06-26 11:40:35	ga_ls8c_ard_3-1-0_113080_2020-06-26_final
2020-07-05 09:53:11	ga_ls8c_ard_3-1-0_096074_2020-07-05_final
2020-07-06 10:34:04	ga_ls8c_ard_3-1-0_103068_2020-07-06_final
2020-08-22 11:36:20	ga_ls8c_ard_3-1-0_112084_2020-08-22_final
2020-09-30 10:04:16	ga_ls8c_ard_3-1-0_097085_2020-09-30_final
2020-10-04 11:18:02	ga_ls8c_ard_3-1-0_109084_2020-10-04_final
2020-11-27 10:36:11	ga_ls8c_ard_3-1-0_103072_2020-11-27_final
2020-12-14 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-12-14_final
2021-04-13 10:30:10	ga_ls8c_ard_3-2-0_102074_2021-04-13_final
2021-09-03 09:44:39	ga_ls8c_ard_3-2-0_095067_2021-09-03_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2021-12-23 10:44:20	ga_ls8c_ard_3-2-1_104077_2021-12-23_final
2022-01-02 09:40:28	ga_ls8c_ard_3-2-1_094072_2022-01-02_final
2022-01-07 10:01:24	ga_ls8c_ard_3-2-1_097078_2022-01-07_final
2022-01-07 11:41:53	ga_ls8c_ard_3-2-1_113082_2022-01-07_final
2022-02-19 09:40:40	ga_ls8c_ard_3-2-1_094073_2022-02-19_final
2022-03-18 11:01:40	ga_ls8c_ard_3-2-1_107075_2022-03-18_final
2022-05-03 09:33:27	ga_ls8c_ard_3-2-1_093071_2022-05-03_final
2022-06-29 09:33:18	ga_ls8c_ard_3-2-1_092085_2022-06-29_final
2022-07-05 10:28:43	ga_ls8c_ard_3-2-1_102069_2022-07-05_final
2022-07-20 09:51:05	ga_ls8c_ard_3-2-1_095083_2022-07-20_final
2022-08-09 09:28:57	ga_ls8c_ard_3-2-1_091089_2022-08-08_final
2022-09-06 09:46:58	ga_ls8c_ard_3-2-1_095072_2022-09-06_final
2022-09-29 09:58:01	ga_ls8c_ard_3-2-1_096084_2022-09-29_final
2022-12-19 10:36:17	ga_ls8c_ard_3-2-1_103072_2022-12-19_final
2023-01-26 10:02:19	ga_ls8c_ard_3-2-1_097080_2023-01-26_final
2023-03-25 10:39:16	ga_ls8c_ard_3-2-1_103081_2023-03-25_final
2023-04-27 09:45:43	ga_ls8c_ard_3-2-1_094087_2023-04-27_final
2023-05-07 10:16:42	ga_ls8c_ard_3-2-1_100072_2023-05-07_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-25 10:03:51	ga_ls8c_ard_3-2-1_098071_2023-05-25_final
2023-06-22 10:30:20	ga_ls8c_ard_3-2-1_102075_2023-06-22_final
2023-07-14 11:31:10	ga_ls8c_ard_3-2-1_112072_2023-07-14_final
2023-07-31 10:35:41	ga_ls8c_ard_3-2-1_103072_2023-07-31_final
2023-08-06 09:57:02	ga_ls8c_ard_3-2-1_097068_2023-08-06_final
2023-09-06 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-09-05_final
2023-09-16 11:31:32	ga_ls8c_ard_3-2-1_112072_2023-09-16_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