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
2013-07-16 11:48:36	ga_ls8c_ard_3-0-0_114079_2013-07-16_final
2016-09-26 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-09-26_final
2016-10-28 11:42:11	ga_ls8c_ard_3-0-0_114067_2016-10-28_final
2019-01-13 11:53:03	ga_ls8c_ard_3-0-0_115080_2019-01-13_final
2019-07-08 11:51:32	ga_ls8c_ard_3-1-0_115076_2019-07-08_final
2020-07-03 11:44:25	ga_ls8c_ard_3-1-0_114074_2020-07-03_final
2020-08-28 09:16:49	ga_ls8c_ard_3-1-0_090075_2020-08-27_final
2021-01-08 11:14:45	ga_ls8c_ard_3-2-0_109076_2021-01-08_final
2021-03-31 09:22:40	ga_ls8c_ard_3-2-0_091075_2021-03-30_final
2021-05-07 09:45:42	ga_ls8c_ard_3-2-0_094087_2021-05-07_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-05-11 10:52:20	ga_ls8c_ard_3-2-0_106068_2021-05-11_final
2021-05-11 10:58:19	ga_ls8c_ard_3-2-0_106083_2021-05-11_final
2021-06-12 09:20:31	ga_ls8c_ard_3-2-0_090085_2021-06-11_final
2021-07-29 11:52:26	ga_ls8c_ard_3-2-0_115078_2021-07-29_final
2021-07-30 10:56:01	ga_ls8c_ard_3-2-0_106076_2021-07-30_final
2021-08-10 10:35:58	ga_ls8c_ard_3-2-0_103072_2021-08-10_final
2021-08-21 10:19:28	ga_ls8c_ard_3-2-0_100077_2021-08-21_final
2021-10-05 11:26:04	ga_ls8c_ard_3-2-0_111073_2021-10-05_final
2021-10-10 10:05:21	ga_ls8c_ard_3-2-0_098072_2021-10-10_final
2021-10-14 09:40:15	ga_ls8c_ard_3-2-0_094071_2021-10-14_final
2021-10-27 09:12:09	ga_ls8c_ard_3-2-0_089078_2021-10-26_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-03 09:29:25	ga_ls8c_ard_3-2-0_092075_2021-12-02_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2021-12-25 10:30:45	ga_ls8c_ard_3-2-1_102074_2021-12-25_final
2022-01-11 11:14:45	ga_ls8c_ard_3-2-1_109076_2022-01-11_final
2022-01-20 09:33:39	ga_ls8c_ard_3-2-1_092086_2022-01-20_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-01-27 11:14:40	ga_ls8c_ard_3-2-1_109076_2022-01-27_final
2022-02-01 09:57:31	ga_ls8c_ard_3-2-1_096084_2022-02-01_final
2022-02-15 10:03:49	ga_ls8c_ard_3-2-1_098069_2022-02-15_final
2022-02-16 10:49:28	ga_ls8c_ard_3-2-1_105075_2022-02-16_final
2022-03-12 11:37:37	ga_ls8c_ard_3-2-1_113072_2022-03-12_final
2022-04-01 11:15:27	ga_ls8c_ard_3-2-1_109079_2022-04-01_final
2022-04-15 11:23:56	ga_ls8c_ard_3-2-1_111069_2022-04-15_final
2022-04-27 10:08:54	ga_ls8c_ard_3-2-1_099067_2022-04-27_final
2022-04-28 09:22:27	ga_ls8c_ard_3-2-1_090090_2022-04-27_final
2022-05-13 10:13:26	ga_ls8c_ard_3-2-1_099078_2022-05-13_final
2022-06-28 10:27:43	ga_ls8c_ard_3-2-1_101082_2022-06-28_final
2022-07-16 10:13:20	ga_ls8c_ard_3-2-1_099077_2022-07-16_final
2022-08-29 10:36:23	ga_ls8c_ard_3-2-1_103072_2022-08-29_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-10-17 09:46:45	ga_ls8c_ard_3-2-1_094087_2022-10-17_final
2022-11-22 09:21:14	ga_ls8c_ard_3-2-1_090085_2022-11-21_final
2022-11-23 11:38:59	ga_ls8c_ard_3-2-1_113074_2022-11-23_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2022-11-27 11:13:29	ga_ls8c_ard_3-2-1_109072_2022-11-27_final
2022-12-08 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-12-07_final
2022-12-08 10:53:20	ga_ls8c_ard_3-2-1_106068_2022-12-08_final
2022-12-22 09:29:26	ga_ls8c_ard_3-2-1_092075_2022-12-21_final
2022-12-23 10:09:54	ga_ls8c_ard_3-2-1_099068_2022-12-23_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-12 09:52:21	ga_ls8c_ard_3-2-1_095086_2023-01-12_final
2023-01-12 11:25:15	ga_ls8c_ard_3-2-1_111071_2023-01-12_final
2023-01-25 10:55:57	ga_ls8c_ard_3-2-1_106075_2023-01-25_final
2023-01-25 10:58:44	ga_ls8c_ard_3-2-1_106082_2023-01-25_final
2023-01-31 10:17:17	ga_ls8c_ard_3-2-1_100071_2023-01-31_final
2023-02-01 11:00:09	ga_ls8c_ard_3-2-1_107070_2023-02-01_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-22 10:02:49	ga_ls8c_ard_3-2-1_098067_2023-03-22_final
2023-03-28 09:32:52	ga_ls8c_ard_3-2-1_092085_2023-03-28_final
2023-04-01 10:43:24	ga_ls8c_ard_3-2-1_104076_2023-04-01_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-28 10:26:59	ga_ls8c_ard_3-2-1_101082_2023-04-28_final
2023-05-04 11:25:08	ga_ls8c_ard_3-2-1_111073_2023-05-04_final
2023-06-09 10:59:11	ga_ls8c_ard_3-2-1_107070_2023-06-09_final
2023-06-13 10:38:53	ga_ls8c_ard_3-2-1_103081_2023-06-13_final
2023-06-16 09:27:19	ga_ls8c_ard_3-2-1_092072_2023-06-15_final
2023-06-20 10:45:29	ga_ls8c_ard_3-2-1_104082_2023-06-20_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-07-07 11:29:21	ga_ls8c_ard_3-2-1_111083_2023-07-07_final
2023-07-12 10:09:26	ga_ls8c_ard_3-2-1_098084_2023-07-12_final
2023-07-19 10:08:50	ga_ls8c_ard_3-2-1_099067_2023-07-19_final
2023-08-04 10:15:46	ga_ls8c_ard_3-2-1_099084_2023-08-04_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-08-14 10:49:42	ga_ls8c_ard_3-2-1_105076_2023-08-14_final
2023-08-18 10:27:02	ga_ls8c_ard_3-2-1_101081_2023-08-18_final
2023-09-20 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-09-19_final
2023-09-21 11:51:16	ga_ls8c_ard_3-2-1_115075_2023-09-21_final
2023-09-27 11:13:50	ga_ls8c_ard_3-2-1_109074_2023-09-27_final
2023-10-10 09:07:41	ga_ls8c_ard_3-2-1_088083_2023-10-09_final
2023-10-12 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-10-12_final
2023-10-16 10:09:30	ga_ls8c_ard_3-2-1_098083_2023-10-16_final
2023-10-25 09:57:46	ga_ls8c_ard_3-2-1_097069_2023-10-25_final
2023-10-29 11:14:44	ga_ls8c_ard_3-2-1_109076_2023-10-29_final
2023-11-07 09:29:38	ga_ls8c_ard_3-2-1_092076_2023-11-06_final
2023-11-12 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-11-12_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-03 11:44:47	ga_ls8c_ard_3-2-1_114074_2023-12-03_final
2023-12-18 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-12-18_final
2023-12-22 10:36:04	ga_ls8c_ard_3-2-1_103072_2023-12-22_final
2024-01-11 10:13:38	ga_ls8c_ard_3-2-1_099078_2024-01-11_final
2024-01-24 09:40:40	ga_ls8c_ard_3-2-1_094073_2024-01-24_final
2024-02-13 09:17:59	ga_ls8c_ard_3-2-1_090078_2024-02-12_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_final
2024-02-22 09:10:34	ga_ls8c_ard_3-2-1_089075_2024-02-21_final
2024-02-29 10:55:58	ga_ls8c_ard_3-2-1_106076_2024-02-29_final
2024-03-02 10:41:35	ga_ls8c_ard_3-2-1_104071_2024-03-02_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