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
2013-04-02 10:50:36	ga_ls8c_ard_3-0-0_105078_2013-04-02_final
2013-07-19 10:37:49	ga_ls8c_ard_3-0-0_103072_2013-07-19_final
2013-09-26 10:57:03	ga_ls8c_ard_3-0-0_106074_2013-09-26_final
2013-09-27 11:37:31	ga_ls8c_ard_3-0-0_113067_2013-09-27_final
2013-12-24 10:50:51	ga_ls8c_ard_3-0-0_105075_2013-12-24_final
2014-04-14 11:44:37	ga_ls8c_ard_3-0-0_114074_2014-04-14_final
2014-07-20 10:48:53	ga_ls8c_ard_3-0-0_105074_2014-07-20_final
2014-09-01 10:28:10	ga_ls8c_ard_3-0-0_102068_2014-09-01_final
2014-09-03 10:21:24	ga_ls8c_ard_3-0-0_100082_2014-09-03_final
2014-12-24 10:22:12	ga_ls8c_ard_3-0-0_100084_2014-12-24_final
2014-12-27 10:46:41	ga_ls8c_ard_3-0-0_105068_2014-12-27_final
2015-02-17 10:26:53	ga_ls8c_ard_3-0-0_101081_2015-02-17_final
2015-06-09 10:26:42	ga_ls8c_ard_3-0-0_101082_2015-06-09_final
2015-09-25 10:46:36	ga_ls8c_ard_3-0-0_105068_2015-09-25_final
2016-01-01 10:34:21	ga_ls8c_ard_3-0-0_103068_2016-01-01_final
2016-03-08 11:10:13	ga_ls8c_ard_3-0-0_108081_2016-03-08_final
2016-07-22 10:16:53	ga_ls8c_ard_3-0-0_100071_2016-07-22_final
2016-07-25 10:48:12	ga_ls8c_ard_3-0-0_105072_2016-07-25_final
2017-01-15 11:00:20	ga_ls8c_ard_3-0-0_107071_2017-01-15_final
2017-01-31 11:01:25	ga_ls8c_ard_3-0-0_107074_2017-01-31_final
2017-03-17 10:28:10	ga_ls8c_ard_3-0-0_102069_2017-03-17_final
2017-04-04 10:18:03	ga_ls8c_ard_3-0-0_100075_2017-04-04_final
2017-06-23 10:16:39	ga_ls8c_ard_3-0-0_100071_2017-06-23_final
2017-09-01 11:24:00	ga_ls8c_ard_3-0-0_110084_2017-09-01_final
2017-10-18 10:38:08	ga_ls8c_ard_3-0-0_103077_2017-10-18_final
2017-10-31 11:46:07	ga_ls8c_ard_3-0-0_114077_2017-10-31_final
2017-11-14 10:19:33	ga_ls8c_ard_3-0-0_100077_2017-11-14_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2018-03-23 10:59:41	ga_ls8c_ard_3-0-0_107071_2018-03-23_final
2018-09-03 10:35:25	ga_ls8c_ard_3-0-0_103072_2018-09-03_final
2018-10-26 10:58:40	ga_ls8c_ard_3-0-0_106083_2018-10-26_final
2018-12-16 11:23:10	ga_ls8c_ard_3-0-0_111067_2018-12-16_final
2019-01-04 10:17:34	ga_ls8c_ard_3-0-0_100073_2019-01-04_final
2019-02-01 10:45:47	ga_ls8c_ard_3-0-0_104082_2019-02-01_final
2019-03-16 10:27:28	ga_ls8c_ard_3-1-0_101083_2019-03-16_final
2019-03-30 10:35:24	ga_ls8c_ard_3-1-0_103072_2019-03-30_final
2019-04-15 10:38:30	ga_ls8c_ard_3-1-0_103080_2019-04-15_final
2019-11-13 10:09:05	ga_ls8c_ard_3-2-1_099066_2019-11-13_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2020-01-11 11:33:15	ga_ls8c_ard_3-1-0_112076_2020-01-11_final
2020-03-02 10:23:50	ga_ls8c_ard_3-1-0_101073_2020-03-02_final
2020-06-02 10:49:19	ga_ls8c_ard_3-1-0_105076_2020-06-02_final
2020-06-21 11:23:36	ga_ls8c_ard_3-1-0_110084_2020-06-21_final
2020-07-11 10:53:02	ga_ls8c_ard_3-1-0_106069_2020-07-11_final
2020-08-02 10:18:51	ga_ls8c_ard_3-1-0_100076_2020-08-02_final
2020-08-10 11:10:43	ga_ls8c_ard_3-1-0_108082_2020-08-10_final
2020-11-12 09:40:54	ga_ls8c_ard_3-1-0_094073_2020-11-12_final
2020-12-27 10:50:06	ga_ls8c_ard_3-2-0_105076_2020-12-27_final
2021-01-07 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-01-07_final
2021-02-01 10:28:00	ga_ls8c_ard_3-2-0_101083_2021-02-01_final
2021-02-07 09:46:31	ga_ls8c_ard_3-2-0_095072_2021-02-07_final
2021-02-09 11:17:49	ga_ls8c_ard_3-2-0_109084_2021-02-09_final
2021-03-08 09:17:01	ga_ls8c_ard_3-2-0_090076_2021-03-07_final
2021-03-11 09:50:41	ga_ls8c_ard_3-2-0_095083_2021-03-11_final
2021-05-14 09:51:34	ga_ls8c_ard_3-2-0_095086_2021-05-14_final
2021-05-17 10:20:54	ga_ls8c_ard_3-2-0_100082_2021-05-17_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-06-22 09:53:15	ga_ls8c_ard_3-2-0_096074_2021-06-22_final
2021-07-21 09:28:26	ga_ls8c_ard_3-2-0_091089_2021-07-20_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-20 10:33:09	ga_ls8c_ard_3-2-0_102080_2021-09-20_final
2021-11-06 11:23:42	ga_ls8c_ard_3-2-0_111067_2021-11-06_final
2022-01-18 09:44:49	ga_ls8c_ard_3-2-1_094083_2022-01-18_final
2022-02-27 10:28:30	ga_ls8c_ard_3-2-1_102069_2022-02-27_final
2022-04-22 11:32:05	ga_ls8c_ard_3-2-1_112074_2022-04-22_final
2022-04-27 11:52:34	ga_ls8c_ard_3-2-1_115079_2022-04-27_final
2022-05-14 09:20:13	ga_ls8c_ard_3-2-1_090084_2022-05-13_final
2022-06-29 09:29:18	ga_ls8c_ard_3-2-1_092075_2022-06-28_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-28 10:36:14	ga_ls8c_ard_3-2-1_103072_2022-07-28_final
2022-08-02 10:58:01	ga_ls8c_ard_3-2-1_106080_2022-08-02_final
2022-09-25 10:20:45	ga_ls8c_ard_3-2-1_100079_2022-09-25_final
2022-10-12 09:27:23	ga_ls8c_ard_3-2-1_091085_2022-10-11_final
2022-10-20 10:10:54	ga_ls8c_ard_3-2-1_099070_2022-10-20_final
2022-10-30 10:48:51	ga_ls8c_ard_3-2-1_105072_2022-10-30_final
2022-11-05 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-11-05_final
2022-11-11 09:41:02	ga_ls8c_ard_3-2-1_093088_2022-11-11_final
2022-12-13 11:13:50	ga_ls8c_ard_3-2-1_109073_2022-12-13_final
2023-01-17 10:09:37	ga_ls8c_ard_3-2-1_098083_2023-01-17_final
2023-02-13 11:29:10	ga_ls8c_ard_3-2-1_111081_2023-02-13_final
2023-03-14 09:21:04	ga_ls8c_ard_3-2-1_090086_2023-03-13_final
2023-03-18 10:30:00	ga_ls8c_ard_3-2-1_102073_2023-03-18_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-21 10:17:37	ga_ls8c_ard_3-2-1_100074_2023-04-21_final
2023-06-12 09:57:37	ga_ls8c_ard_3-2-1_096086_2023-06-12_final
2023-07-21 09:56:52	ga_ls8c_ard_3-2-1_097068_2023-07-21_final
2023-09-06 10:55:33	ga_ls8c_ard_3-2-1_106075_2023-09-06_final
2023-09-20 09:33:31	ga_ls8c_ard_3-2-1_092086_2023-09-20_final
2023-10-03 10:39:57	ga_ls8c_ard_3-2-1_103082_2023-10-03_final
2023-10-14 10:17:28	ga_ls8c_ard_3-2-1_100072_2023-10-14_final
2023-10-29 11:17:32	ga_ls8c_ard_3-2-1_109083_2023-10-29_final
2023-11-02 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-01_final
2023-12-06 10:35:57	ga_ls8c_ard_3-2-1_103072_2023-12-06_final
2024-01-19 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-18_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-02-20 10:59:50	ga_ls8c_ard_3-2-1_107070_2024-02-20_final
2024-03-14 09:33:41	ga_ls8c_ard_3-2-1_092087_2024-03-14_final
2024-03-14 11:10:58	ga_ls8c_ard_3-2-1_108083_2024-03-14_final
2024-03-23 09:25:23	ga_ls8c_ard_3-2-1_091082_2024-03-22_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