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
2013-07-09 11:44:02	ga_ls8c_ard_3-0-0_113083_2013-07-09_final
2013-09-04 11:31:31	ga_ls8c_ard_3-0-0_112067_2013-09-04_final
2013-09-04 11:36:42	ga_ls8c_ard_3-0-0_112080_2013-09-04_final
2013-09-11 11:42:27	ga_ls8c_ard_3-0-0_113079_2013-09-11_final
2014-03-08 11:24:39	ga_ls8c_ard_3-0-0_111069_2014-03-08_final
2014-11-08 11:46:27	ga_ls8c_ard_3-0-0_114078_2014-11-08_final
2014-11-19 11:23:52	ga_ls8c_ard_3-0-0_111068_2014-11-19_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-08-14 11:50:30	ga_ls8c_ard_3-0-0_115074_2015-08-14_final
2016-08-02 11:37:40	ga_ls8c_ard_3-0-0_113072_2016-08-02_final
2016-09-05 11:25:53	ga_ls8c_ard_3-0-0_111073_2016-09-05_final
2016-10-28 11:42:11	ga_ls8c_ard_3-0-0_114067_2016-10-28_final
2017-02-17 11:46:09	ga_ls8c_ard_3-0-0_114078_2017-02-17_final
2017-04-06 11:41:22	ga_ls8c_ard_3-0-0_114067_2017-04-06_final
2017-05-12 11:23:17	ga_ls8c_ard_3-0-0_110084_2017-05-12_final
2017-05-28 11:19:52	ga_ls8c_ard_3-0-0_110075_2017-05-28_final
2017-06-11 11:30:21	ga_ls8c_ard_3-0-0_112070_2017-06-11_final
2017-10-10 11:25:34	ga_ls8c_ard_3-0-0_111072_2017-10-10_final
2017-12-13 11:23:51	ga_ls8c_ard_3-0-0_111068_2017-12-13_final
2019-06-03 11:20:27	ga_ls8c_ard_3-0-0_110076_2019-06-03_final
2019-06-26 11:26:46	ga_ls8c_ard_3-1-0_111076_2019-06-26_final
2019-12-16 10:53:05	ga_ls8c_ard_3-2-0_106068_2019-12-16_final
2019-12-16 10:53:53	ga_ls8c_ard_3-2-0_106070_2019-12-16_final
2019-12-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2019-12-17_final
2020-01-16 11:51:47	ga_ls8c_ard_3-1-0_115076_2020-01-16_final
2020-08-06 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-08-06_final
2020-08-12 10:55:10	ga_ls8c_ard_3-1-0_106074_2020-08-12_final
2020-10-21 11:58:55	ga_ls8c_ard_3-1-0_116078_2020-10-21_final
2020-11-12 09:40:06	ga_ls8c_ard_3-1-0_094071_2020-11-12_final
2020-12-14 11:23:51	ga_ls8c_ard_3-1-0_110083_2020-12-14_final
2020-12-17 10:14:40	ga_ls8c_ard_3-2-0_099080_2020-12-17_final
2021-01-04 11:35:55	ga_ls8c_ard_3-2-0_113067_2021-01-04_final
2021-01-26 11:01:30	ga_ls8c_ard_3-2-0_107074_2021-01-26_final
2021-02-18 09:29:07	ga_ls8c_ard_3-2-0_092075_2021-02-17_final
2021-02-23 09:52:01	ga_ls8c_ard_3-2-0_095086_2021-02-23_final
2021-03-26 09:06:08	ga_ls8c_ard_3-2-0_088080_2021-03-25_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-04-16 09:22:34	ga_ls8c_ard_3-2-0_091075_2021-04-15_final
2021-04-16 09:26:57	ga_ls8c_ard_3-2-0_091086_2021-04-15_final
2021-04-18 09:15:47	ga_ls8c_ard_3-2-0_089089_2021-04-17_final
2021-04-20 10:39:29	ga_ls8c_ard_3-2-0_103082_2021-04-20_final
2021-04-22 10:25:31	ga_ls8c_ard_3-2-0_101078_2021-04-22_final
2021-05-25 09:28:21	ga_ls8c_ard_3-2-0_092074_2021-05-24_final
2021-06-01 11:13:04	ga_ls8c_ard_3-2-0_109073_2021-06-01_final
2021-06-29 09:56:40	ga_ls8c_ard_3-2-0_097067_2021-06-29_final
2021-06-29 10:01:03	ga_ls8c_ard_3-2-0_097078_2021-06-29_final
2021-07-01 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-07-01_final
2021-07-13 10:09:50	ga_ls8c_ard_3-2-0_099069_2021-07-13_final
2021-07-17 09:51:31	ga_ls8c_ard_3-2-0_095085_2021-07-17_final
2021-08-18 11:25:03	ga_ls8c_ard_3-2-0_111071_2021-08-18_final
2021-08-19 10:28:14	ga_ls8c_ard_3-2-0_102068_2021-08-19_final
2021-08-27 11:19:42	ga_ls8c_ard_3-2-0_110073_2021-08-27_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_final
2021-11-16 10:23:26	ga_ls8c_ard_3-2-0_101071_2021-11-16_final
2021-12-04 10:16:17	ga_ls8c_ard_3-2-0_099084_2021-12-04_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-01-28 10:18:14	ga_ls8c_ard_3-2-1_100074_2022-01-28_final
2022-02-10 11:26:12	ga_ls8c_ard_3-2-1_111074_2022-02-10_final
2022-02-17 11:32:19	ga_ls8c_ard_3-2-1_112074_2022-02-17_final
2022-03-28 10:00:07	ga_ls8c_ard_3-2-1_097076_2022-03-28_final
2022-03-29 10:40:11	ga_ls8c_ard_3-2-1_104068_2022-03-29_final
2022-04-07 10:34:02	ga_ls8c_ard_3-2-1_103068_2022-04-07_final
2022-05-09 10:34:08	ga_ls8c_ard_3-2-1_103068_2022-05-09_final
2022-05-14 10:55:54	ga_ls8c_ard_3-2-1_106076_2022-05-14_final
2022-06-03 10:32:29	ga_ls8c_ard_3-2-1_102079_2022-06-03_final
2022-06-17 10:46:12	ga_ls8c_ard_3-2-1_104082_2022-06-17_final
2022-07-04 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-07-04_final
2022-07-05 10:28:19	ga_ls8c_ard_3-2-1_102068_2022-07-05_final
2022-07-30 10:28:17	ga_ls8c_ard_3-2-1_101083_2022-07-30_final
2022-08-15 10:25:36	ga_ls8c_ard_3-2-1_101076_2022-08-15_final
2022-08-19 09:57:18	ga_ls8c_ard_3-2-1_097067_2022-08-19_final
2022-09-09 10:21:53	ga_ls8c_ard_3-2-1_100082_2022-09-09_final
2022-10-28 11:02:24	ga_ls8c_ard_3-2-1_107075_2022-10-28_final
2022-11-09 09:47:49	ga_ls8c_ard_3-2-1_095074_2022-11-09_final
2022-11-13 09:22:39	ga_ls8c_ard_3-2-1_091073_2022-11-12_final
2022-11-13 11:01:56	ga_ls8c_ard_3-2-1_107074_2022-11-13_final
2023-01-09 09:22:17	ga_ls8c_ard_3-2-1_090088_2023-01-08_final
2023-01-16 09:27:34	ga_ls8c_ard_3-2-1_091086_2023-01-15_final
2023-01-19 09:58:28	ga_ls8c_ard_3-2-1_096086_2023-01-19_final
2023-02-13 09:47:05	ga_ls8c_ard_3-2-1_095073_2023-02-13_final
2023-03-09 10:35:01	ga_ls8c_ard_3-2-1_103070_2023-03-09_final
2023-04-09 11:31:52	ga_ls8c_ard_3-2-1_112074_2023-04-09_final
2023-06-16 09:34:07	ga_ls8c_ard_3-2-1_092089_2023-06-16_final
2023-07-20 10:55:41	ga_ls8c_ard_3-2-1_106076_2023-07-20_final
2023-07-27 09:23:28	ga_ls8c_ard_3-2-1_091077_2023-07-26_final
2023-07-28 10:04:45	ga_ls8c_ard_3-2-1_098072_2023-07-28_final
2023-08-11 10:18:45	ga_ls8c_ard_3-2-1_100076_2023-08-11_final
2023-08-25 10:30:04	ga_ls8c_ard_3-2-1_102073_2023-08-25_final
2023-09-16 11:32:20	ga_ls8c_ard_3-2-1_112074_2023-09-16_final
2023-11-02 09:16:19	ga_ls8c_ard_3-2-1_089089_2023-11-01_final
2023-11-18 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-11-17_final
2023-12-04 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-12-04_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-02-15 10:46:05	ga_ls8c_ard_3-2-1_104082_2024-02-15_final
2024-03-07 11:05:13	ga_ls8c_ard_3-2-1_107084_2024-03-07_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-23 09:27:23	ga_ls8c_ard_3-2-1_091087_2024-03-22_final
2024-03-25 10:51:51	ga_ls8c_ard_3-2-1_105082_2024-03-25_final
2024-03-31 11:52:25	ga_ls8c_ard_3-2-1_115079_2024-03-31_final
2024-04-06 11:12:56	ga_ls8c_ard_3-2-1_109073_2024-04-06_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