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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
2014-03-08 09:52:33	ga_ls8c_ard_3-0-0_095086_2014-03-08_final
2014-08-30 09:06:25	ga_ls8c_ard_3-0-0_088080_2014-08-29_final
2014-09-15 09:06:52	ga_ls8c_ard_3-1-0_088081_2014-09-14_final
2014-09-25 09:39:54	ga_ls8c_ard_3-0-0_094071_2014-09-25_final
2015-02-19 11:51:01	ga_ls8c_ard_3-0-0_115075_2015-02-19_final
2015-04-27 09:06:26	ga_ls8c_ard_3-0-0_088082_2015-04-26_final
2015-12-01 09:41:10	ga_ls8c_ard_3-0-0_094074_2015-12-01_final
2016-01-21 11:51:41	ga_ls8c_ard_3-0-0_115076_2016-01-21_final
2016-05-12 11:51:56	ga_ls8c_ard_3-0-0_115078_2016-05-12_final
2017-04-17 09:46:14	ga_ls8c_ard_3-0-0_095073_2017-04-17_final
2018-05-06 09:44:43	ga_ls8c_ard_3-0-0_095070_2018-05-06_final
2018-10-29 09:47:06	ga_ls8c_ard_3-0-0_095074_2018-10-29_final
2019-11-20 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-11-20_final
2021-03-04 09:40:35	ga_ls8c_ard_3-2-0_094073_2021-03-04_final
2021-03-09 09:59:05	ga_ls8c_ard_3-2-0_097073_2021-03-09_final
2021-04-09 10:55:43	ga_ls8c_ard_3-2-0_106076_2021-04-09_final
2021-04-24 11:52:01	ga_ls8c_ard_3-2-0_115078_2021-04-24_final
2021-06-01 11:15:28	ga_ls8c_ard_3-2-0_109079_2021-06-01_final
2021-06-01 11:16:40	ga_ls8c_ard_3-2-0_109082_2021-06-01_final
2021-06-11 10:10:08	ga_ls8c_ard_3-2-0_099070_2021-06-11_final
2021-06-15 11:23:32	ga_ls8c_ard_3-2-0_111068_2021-06-15_final
2021-06-15 11:25:07	ga_ls8c_ard_3-2-0_111072_2021-06-15_final
2021-06-17 11:14:46	ga_ls8c_ard_3-2-0_109077_2021-06-17_final
2021-06-20 11:44:53	ga_ls8c_ard_3-2-0_114075_2021-06-20_final
2021-07-24 11:35:03	ga_ls8c_ard_3-2-0_112081_2021-07-24_final
2021-09-02 10:41:52	ga_ls8c_ard_3-2-0_104071_2021-09-02_final
2021-09-06 10:17:09	ga_ls8c_ard_3-2-0_100071_2021-09-06_final
2021-09-16 10:55:28	ga_ls8c_ard_3-2-0_106074_2021-09-16_final
2021-10-03 11:38:49	ga_ls8c_ard_3-2-0_113074_2021-10-03_final
2021-10-09 11:02:10	ga_ls8c_ard_3-2-0_107075_2021-10-09_final
2021-10-16 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-10-16_final
2021-10-21 11:30:30	ga_ls8c_ard_3-2-0_111084_2021-10-21_final
2021-10-25 09:23:19	ga_ls8c_ard_3-2-0_091075_2021-10-24_final
2021-11-10 11:00:09	ga_ls8c_ard_3-2-0_107070_2021-11-10_final
2021-11-15 09:41:22	ga_ls8c_ard_3-2-0_094074_2021-11-15_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-11-28 09:16:52	ga_ls8c_ard_3-2-0_089090_2021-11-27_final
2021-12-04 10:15:05	ga_ls8c_ard_3-2-0_099081_2021-12-04_final
2021-12-05 10:53:33	ga_ls8c_ard_3-2-1_106069_2021-12-05_final
2021-12-19 09:28:59	ga_ls8c_ard_3-2-1_092074_2021-12-18_final
2022-03-27 09:21:40	ga_ls8c_ard_3-2-1_090088_2022-03-26_final
2022-04-05 09:13:04	ga_ls8c_ard_3-2-1_089082_2022-04-04_final
2022-05-04 10:21:07	ga_ls8c_ard_3-2-1_100082_2022-05-04_final
2022-05-30 10:57:32	ga_ls8c_ard_3-2-1_106080_2022-05-30_final
2022-06-29 11:11:47	ga_ls8c_ard_3-2-1_108084_2022-06-29_final
2022-07-01 09:22:56	ga_ls8c_ard_3-2-1_090090_2022-06-30_final
2022-07-03 10:41:52	ga_ls8c_ard_3-2-1_104071_2022-07-03_final
2022-07-15 11:10:57	ga_ls8c_ard_3-2-1_108082_2022-07-15_final
2022-08-25 09:24:13	ga_ls8c_ard_3-2-1_091077_2022-08-24_final
2022-09-03 10:56:06	ga_ls8c_ard_3-2-1_106075_2022-09-03_final
2022-09-08 11:15:06	ga_ls8c_ard_3-2-1_109076_2022-09-08_final
2022-09-09 10:18:41	ga_ls8c_ard_3-2-1_100074_2022-09-09_final
2022-09-13 09:58:23	ga_ls8c_ard_3-2-1_096085_2022-09-13_final
2022-09-19 10:53:50	ga_ls8c_ard_3-2-1_106069_2022-09-19_final
2022-09-30 10:34:53	ga_ls8c_ard_3-2-1_103068_2022-09-30_final
2022-10-10 11:17:04	ga_ls8c_ard_3-2-1_109081_2022-10-10_final
2022-10-11 10:20:38	ga_ls8c_ard_3-2-1_100079_2022-10-11_final
2022-10-14 10:49:54	ga_ls8c_ard_3-2-1_105075_2022-10-14_final
2022-10-21 10:59:21	ga_ls8c_ard_3-2-1_106083_2022-10-21_final
2022-10-22 09:57:22	ga_ls8c_ard_3-2-1_097067_2022-10-22_final
2022-11-06 09:19:44	ga_ls8c_ard_3-2-1_090081_2022-11-05_final
2022-11-18 09:44:43	ga_ls8c_ard_3-2-1_094082_2022-11-18_final
2022-12-02 11:36:49	ga_ls8c_ard_3-2-1_112084_2022-12-02_final
2022-12-27 09:51:12	ga_ls8c_ard_3-2-1_095083_2022-12-27_final
2023-01-21 11:19:50	ga_ls8c_ard_3-2-1_110073_2023-01-21_final
2023-01-30 09:35:37	ga_ls8c_ard_3-2-1_093075_2023-01-30_final
2023-02-09 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-02-09_final
2023-03-08 09:52:34	ga_ls8c_ard_3-2-1_096072_2023-03-08_final
2023-03-13 10:14:17	ga_ls8c_ard_3-2-1_099080_2023-03-13_final
2023-03-24 09:57:36	ga_ls8c_ard_3-2-1_096085_2023-03-24_final
2023-04-07 10:02:36	ga_ls8c_ard_3-2-1_098067_2023-04-07_final
2023-04-11 09:40:11	ga_ls8c_ard_3-2-1_094073_2023-04-11_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-05-13 11:18:24	ga_ls8c_ard_3-2-1_110072_2023-05-13_final
2023-05-18 11:40:30	ga_ls8c_ard_3-2-1_113081_2023-05-18_final
2023-05-26 09:12:37	ga_ls8c_ard_3-2-1_089082_2023-05-25_final
2023-06-09 09:22:17	ga_ls8c_ard_3-2-1_091075_2023-06-08_final
2023-06-09 09:26:17	ga_ls8c_ard_3-2-1_091085_2023-06-08_final
2023-06-10 10:02:46	ga_ls8c_ard_3-2-1_098068_2023-06-10_final
2023-06-11 09:15:32	ga_ls8c_ard_3-2-1_089089_2023-06-10_final
2023-06-11 10:48:50	ga_ls8c_ard_3-2-1_105075_2023-06-11_final
2023-06-16 09:32:55	ga_ls8c_ard_3-2-1_092086_2023-06-16_final
2023-06-16 09:34:07	ga_ls8c_ard_3-2-1_092089_2023-06-16_final
2023-06-22 10:29:32	ga_ls8c_ard_3-2-1_102073_2023-06-22_final
2023-07-04 10:55:37	ga_ls8c_ard_3-2-1_106076_2023-07-04_final
2023-07-11 09:23:22	ga_ls8c_ard_3-2-1_091077_2023-07-10_final
2023-07-11 09:26:58	ga_ls8c_ard_3-2-1_091086_2023-07-10_final
2023-07-12 10:09:26	ga_ls8c_ard_3-2-1_098084_2023-07-12_final
2023-07-21 10:00:27	ga_ls8c_ard_3-2-1_097077_2023-07-21_final
2023-08-30 09:10:07	ga_ls8c_ard_3-2-1_089074_2023-08-29_final
2023-09-02 11:19:06	ga_ls8c_ard_3-2-1_110072_2023-09-02_final
2023-09-05 11:51:34	ga_ls8c_ard_3-2-1_115076_2023-09-05_final
2023-09-14 10:04:36	ga_ls8c_ard_3-2-1_098071_2023-09-14_final
2023-09-30 10:07:04	ga_ls8c_ard_3-2-1_098077_2023-09-30_final
2023-10-04 09:40:44	ga_ls8c_ard_3-2-1_094073_2023-10-04_final
2023-10-31 09:23:06	ga_ls8c_ard_3-2-1_091075_2023-10-30_final
2023-11-02 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-11-02_final
2023-11-17 10:04:21	ga_ls8c_ard_3-2-1_098070_2023-11-17_final
2023-12-18 09:27:05	ga_ls8c_ard_3-2-1_091085_2023-12-17_final
2023-12-20 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-12-19_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