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 10:06:42	ga_ls8c_ard_3-0-0_098075_2013-04-06_final
2013-07-27 11:30:52	ga_ls8c_ard_3-0-0_111081_2013-07-27_final
2013-08-24 10:17:10	ga_ls8c_ard_3-0-0_099082_2013-08-24_final
2014-04-09 11:23:24	ga_ls8c_ard_3-0-0_111067_2014-04-09_final
2014-06-05 11:16:45	ga_ls8c_ard_3-0-0_110067_2014-06-05_final
2014-08-11 11:52:03	ga_ls8c_ard_3-0-0_115077_2014-08-11_final
2014-08-28 10:52:28	ga_ls8c_ard_3-0-0_106067_2014-08-28_final
2014-12-19 11:35:47	ga_ls8c_ard_3-0-0_113067_2014-12-19_final
2014-12-30 11:18:45	ga_ls8c_ard_3-0-0_110071_2014-12-30_final
2015-01-14 10:39:52	ga_ls8c_ard_3-0-0_103082_2015-01-14_final
2015-04-30 11:13:22	ga_ls8c_ard_3-0-0_109075_2015-04-30_final
2015-06-06 11:29:28	ga_ls8c_ard_3-0-0_112069_2015-06-06_final
2015-06-08 11:17:32	ga_ls8c_ard_3-0-0_110070_2015-06-08_final
2015-07-22 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-07-22_final
2015-07-29 11:52:01	ga_ls8c_ard_3-0-0_115078_2015-07-29_final
2015-08-28 10:27:16	ga_ls8c_ard_3-0-0_101082_2015-08-28_final
2015-09-22 10:16:53	ga_ls8c_ard_3-0-0_100071_2015-09-22_final
2016-02-29 10:17:12	ga_ls8c_ard_3-0-0_100072_2016-02-29_final
2016-03-04 09:50:29	ga_ls8c_ard_3-0-0_096067_2016-03-04_final
2016-05-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2016-05-24_final
2016-08-16 10:09:36	ga_ls8c_ard_3-0-0_099068_2016-08-16_final
2016-09-21 11:24:44	ga_ls8c_ard_3-0-0_111070_2016-09-21_final
2016-09-29 10:40:04	ga_ls8c_ard_3-0-0_103082_2016-09-29_final
2016-11-06 09:57:30	ga_ls8c_ard_3-0-0_097068_2016-11-06_final
2016-12-27 10:30:18	ga_ls8c_ard_3-0-0_102073_2016-12-27_final
2017-02-03 09:51:49	ga_ls8c_ard_3-0-0_096070_2017-02-03_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-03-13 10:52:32	ga_ls8c_ard_3-0-0_106068_2017-03-13_final
2017-04-04 10:16:28	ga_ls8c_ard_3-0-0_100071_2017-04-04_final
2017-05-29 10:27:27	ga_ls8c_ard_3-0-0_101083_2017-05-29_final
2017-07-31 11:17:04	ga_ls8c_ard_3-0-0_110067_2017-07-31_final
2017-09-30 10:51:37	ga_ls8c_ard_3-0-0_105080_2017-09-30_final
2017-10-05 11:10:59	ga_ls8c_ard_3-0-0_108082_2017-10-05_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2018-05-09 10:17:59	ga_ls8c_ard_3-0-0_100076_2018-05-09_final
2018-05-13 09:55:37	ga_ls8c_ard_3-0-0_096082_2018-05-13_final
2018-05-19 10:54:33	ga_ls8c_ard_3-0-0_106075_2018-05-19_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-07-14 10:06:30	ga_ls8c_ard_3-1-0_098078_2018-07-14_final
2019-02-18 11:23:01	ga_ls8c_ard_3-0-0_111067_2019-02-18_final
2019-04-02 11:07:29	ga_ls8c_ard_3-1-0_108075_2019-04-02_final
2019-05-01 10:35:16	ga_ls8c_ard_3-0-0_103072_2019-05-01_final
2019-05-04 11:05:47	ga_ls8c_ard_3-0-0_108071_2019-05-04_final
2019-07-14 11:14:04	ga_ls8c_ard_3-1-0_109075_2019-07-14_final
2019-09-28 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-09-28_final
2019-10-08 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-10-08_final
2019-11-17 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-11-17_final
2019-11-22 10:10:03	ga_ls8c_ard_3-1-0_098084_2019-11-22_final
2019-12-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2019-12-15_final
2019-12-25 10:52:27	ga_ls8c_ard_3-1-0_105082_2019-12-25_final
2020-01-15 11:07:19	ga_ls8c_ard_3-1-0_108073_2020-01-15_final
2020-02-08 10:20:33	ga_ls8c_ard_3-1-0_100080_2020-02-08_final
2020-06-07 11:07:30	ga_ls8c_ard_3-1-0_108075_2020-06-07_final
2020-07-09 11:07:23	ga_ls8c_ard_3-1-0_108074_2020-07-09_final
2020-08-09 10:27:51	ga_ls8c_ard_3-1-0_101083_2020-08-09_final
2020-08-24 11:18:24	ga_ls8c_ard_3-1-0_110070_2020-08-24_final
2020-08-31 11:24:38	ga_ls8c_ard_3-1-0_111070_2020-08-31_final
2020-10-24 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-10-24_final
2020-12-15 10:25:50	ga_ls8c_ard_3-1-0_101077_2020-12-15_final
2020-12-16 09:29:24	ga_ls8c_ard_3-1-0_092075_2020-12-15_final
2020-12-27 10:49:19	ga_ls8c_ard_3-2-0_105074_2020-12-27_final
2021-01-20 09:58:06	ga_ls8c_ard_3-2-0_097070_2021-01-20_final
2021-03-02 11:36:14	ga_ls8c_ard_3-2-0_112084_2021-03-02_final
2021-03-16 11:47:16	ga_ls8c_ard_3-2-0_114081_2021-03-16_final
2021-04-06 10:25:14	ga_ls8c_ard_3-2-0_101077_2021-04-06_final
2021-04-09 09:17:14	ga_ls8c_ard_3-2-0_090077_2021-04-08_final
2021-05-06 10:38:55	ga_ls8c_ard_3-2-0_103081_2021-05-06_final
2021-06-01 11:14:16	ga_ls8c_ard_3-2-0_109076_2021-06-01_final
2021-07-13 10:09:26	ga_ls8c_ard_3-2-0_099068_2021-07-13_final
2021-08-04 11:14:36	ga_ls8c_ard_3-2-0_109076_2021-08-04_final
2021-09-13 10:27:45	ga_ls8c_ard_3-2-0_101082_2021-09-13_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-10-21 09:52:49	ga_ls8c_ard_3-2-0_095087_2021-10-21_final
2021-11-06 11:26:06	ga_ls8c_ard_3-2-0_111073_2021-11-06_final
2021-12-19 09:29:47	ga_ls8c_ard_3-2-1_092076_2021-12-18_final
2022-01-14 10:03:11	ga_ls8c_ard_3-2-1_098067_2022-01-14_final
2022-02-16 10:52:40	ga_ls8c_ard_3-2-1_105083_2022-02-16_final
2022-02-23 09:16:44	ga_ls8c_ard_3-2-1_090075_2022-02-22_final
2022-03-14 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-03-14_final
2022-04-12 09:16:55	ga_ls8c_ard_3-2-1_090076_2022-04-11_final
2022-04-14 09:06:10	ga_ls8c_ard_3-2-1_088080_2022-04-13_final
2022-05-07 10:49:40	ga_ls8c_ard_3-2-1_105076_2022-05-07_final
2022-06-06 09:27:44	ga_ls8c_ard_3-2-1_091087_2022-06-05_final
2022-06-10 10:35:58	ga_ls8c_ard_3-2-1_103072_2022-06-10_final
2022-06-19 10:29:04	ga_ls8c_ard_3-2-1_102070_2022-06-19_final
2022-08-02 09:17:56	ga_ls8c_ard_3-2-1_090077_2022-08-01_final
2022-08-05 11:24:09	ga_ls8c_ard_3-2-1_111068_2022-08-05_final
2022-08-28 11:32:00	ga_ls8c_ard_3-2-1_112072_2022-08-28_final
2022-11-04 09:33:42	ga_ls8c_ard_3-2-1_092085_2022-11-04_final
2023-01-25 10:56:21	ga_ls8c_ard_3-2-1_106076_2023-01-25_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-08-10 09:33:54	ga_ls8c_ard_3-2-1_093072_2023-08-10_final
2023-08-26 09:34:26	ga_ls8c_ard_3-2-1_093073_2023-08-26_final
2023-09-19 10:25:33	ga_ls8c_ard_3-2-1_101077_2023-09-19_final
2023-10-11 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-10-11_final
2023-11-24 10:09:47	ga_ls8c_ard_3-2-1_099068_2023-11-24_final
2023-12-23 09:41:14	ga_ls8c_ard_3-2-1_094074_2023-12-23_final
2023-12-27 09:20:53	ga_ls8c_ard_3-2-1_090085_2023-12-26_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_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