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
2017-11-23 10:08:56	ga_ls8c_ard_3-2-1_099066_2017-11-23_final
2020-02-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2020-02-17_final
2020-04-06 12:30:56	ga_ls8c_ard_3-2-1_122067_2020-04-06_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2023-02-27 11:42:30	ga_ls8c_ard_3-2-1_113084_2023-02-27_final
2023-12-28 11:42:13	ga_ls8c_ard_3-2-1_113083_2023-12-28_final
2023-12-29 10:43:48	ga_ls8c_ard_3-2-1_104076_2023-12-29_final
2023-12-29 10:44:11	ga_ls8c_ard_3-2-1_104077_2023-12-29_final
2023-12-29 10:44:35	ga_ls8c_ard_3-2-1_104078_2023-12-29_final
2023-12-30 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-12-30_final
2023-12-30 11:26:15	ga_ls8c_ard_3-2-1_111074_2023-12-30_final
2023-12-30 11:27:02	ga_ls8c_ard_3-2-1_111076_2023-12-30_final
2023-12-30 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-12-30_final
2024-01-01 11:13:03	ga_ls8c_ard_3-2-1_109072_2024-01-01_final
2024-01-01 11:13:27	ga_ls8c_ard_3-2-1_109073_2024-01-01_final
2024-01-03 09:25:22	ga_ls8c_ard_3-2-1_091081_2024-01-02_final
2024-01-03 09:27:22	ga_ls8c_ard_3-2-1_091086_2024-01-02_final
2024-01-03 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-03_final
2024-01-05 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-01-05_final
2024-01-06 11:32:21	ga_ls8c_ard_3-2-1_112074_2024-01-06_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-09 10:24:47	ga_ls8c_ard_3-2-1_101075_2024-01-09_final
2024-01-11 10:11:15	ga_ls8c_ard_3-2-1_099072_2024-01-11_final
2024-01-12 10:54:55	ga_ls8c_ard_3-2-1_106073_2024-01-12_final
2024-01-13 09:59:17	ga_ls8c_ard_3-2-1_097073_2024-01-13_final
2024-01-13 10:01:17	ga_ls8c_ard_3-2-1_097078_2024-01-13_final
2024-01-13 10:02:05	ga_ls8c_ard_3-2-1_097080_2024-01-13_final
2024-01-13 10:02:29	ga_ls8c_ard_3-2-1_097081_2024-01-13_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-14 10:41:45	ga_ls8c_ard_3-2-1_104071_2024-01-14_final
2024-01-16 10:31:47	ga_ls8c_ard_3-2-1_102077_2024-01-16_final
2024-01-20 10:08:38	ga_ls8c_ard_3-2-1_098081_2024-01-20_final
2024-01-23 10:37:30	ga_ls8c_ard_3-2-1_103076_2024-01-23_final
2024-01-25 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-01-25_final
2024-01-26 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-01-26_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-01-27 10:11:55	ga_ls8c_ard_3-2-1_099074_2024-01-27_final
2024-01-28 09:20:18	ga_ls8c_ard_3-2-1_090084_2024-01-27_final
2024-01-28 09:22:18	ga_ls8c_ard_3-2-1_090089_2024-01-27_final
2024-01-29 09:58:47	ga_ls8c_ard_3-2-1_097072_2024-01-29_final
2024-01-31 11:26:08	ga_ls8c_ard_3-2-1_111074_2024-01-31_final
2024-01-31 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-01-31_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-05 10:08:14	ga_ls8c_ard_3-2-1_098080_2024-02-05_final
2024-02-05 10:09:26	ga_ls8c_ard_3-2-1_098083_2024-02-05_final
2024-02-06 10:47:54	ga_ls8c_ard_3-2-1_105071_2024-02-06_final
2024-02-07 09:52:41	ga_ls8c_ard_3-2-1_096072_2024-02-07_final
2024-02-07 09:56:17	ga_ls8c_ard_3-2-1_096081_2024-02-07_final
2024-02-08 10:37:33	ga_ls8c_ard_3-2-1_103076_2024-02-08_final
2024-02-08 10:37:57	ga_ls8c_ard_3-2-1_103077_2024-02-08_final
2024-02-11 11:05:39	ga_ls8c_ard_3-2-1_108069_2024-02-11_final
2024-02-11 11:08:26	ga_ls8c_ard_3-2-1_108076_2024-02-11_final
2024-02-13 10:53:40	ga_ls8c_ard_3-2-1_106070_2024-02-13_final
2024-02-13 10:56:52	ga_ls8c_ard_3-2-1_106078_2024-02-13_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 11:38:31	ga_ls8c_ard_3-2-1_113074_2024-02-14_final
2024-02-15 10:43:41	ga_ls8c_ard_3-2-1_104076_2024-02-15_final
2024-02-16 09:52:27	ga_ls8c_ard_3-2-1_095087_2024-02-16_final
2024-02-16 11:26:09	ga_ls8c_ard_3-2-1_111074_2024-02-16_final
2024-02-18 09:36:06	ga_ls8c_ard_3-2-1_093077_2024-02-18_final
2024-02-21 10:08:36	ga_ls8c_ard_3-2-1_098081_2024-02-21_final
2024-02-22 09:14:34	ga_ls8c_ard_3-2-1_089085_2024-02-21_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_final
2024-02-26 10:27:54	ga_ls8c_ard_3-2-1_101083_2024-02-26_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-29 10:55:10	ga_ls8c_ard_3-2-1_106074_2024-02-29_final
2024-03-01 09:59:32	ga_ls8c_ard_3-2-1_097074_2024-03-01_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-02 10:41:35	ga_ls8c_ard_3-2-1_104071_2024-03-02_final
2024-03-03 11:28:49	ga_ls8c_ard_3-2-1_111081_2024-03-03_final
2024-03-04 10:29:59	ga_ls8c_ard_3-2-1_102073_2024-03-04_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-07 09:23:32	ga_ls8c_ard_3-2-1_091077_2024-03-06_final
2024-03-07 09:25:08	ga_ls8c_ard_3-2-1_091081_2024-03-06_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-07 09:27:32	ga_ls8c_ard_3-2-1_091087_2024-03-06_final
2024-03-11 10:34:06	ga_ls8c_ard_3-2-1_103068_2024-03-11_final
2024-03-12 09:41:16	ga_ls8c_ard_3-2-1_094075_2024-03-12_final
2024-03-13 10:25:43	ga_ls8c_ard_3-2-1_101078_2024-03-13_final
2024-03-15 10:14:09	ga_ls8c_ard_3-2-1_099080_2024-03-15_final
2024-03-15 11:53:02	ga_ls8c_ard_3-2-1_115080_2024-03-15_final
2024-03-16 10:54:36	ga_ls8c_ard_3-2-1_106073_2024-03-16_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-17 10:02:57	ga_ls8c_ard_3-2-1_097083_2024-03-17_final
2024-03-19 11:28:40	ga_ls8c_ard_3-2-1_111081_2024-03-19_final
2024-03-19 11:29:27	ga_ls8c_ard_3-2-1_111083_2024-03-19_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-21 09:35:23	ga_ls8c_ard_3-2-1_093076_2024-03-21_final
2024-03-25 10:47:28	ga_ls8c_ard_3-2-1_105071_2024-03-25_final
2024-03-25 10:51:28	ga_ls8c_ard_3-2-1_105081_2024-03-25_final
2024-03-26 11:31:54	ga_ls8c_ard_3-2-1_112074_2024-03-26_final
2024-03-27 10:37:26	ga_ls8c_ard_3-2-1_103077_2024-03-27_final
2024-03-28 11:21:53	ga_ls8c_ard_3-2-1_110080_2024-03-28_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-04-01 09:19:06	ga_ls8c_ard_3-2-1_090082_2024-03-31_final
2024-04-02 11:39:15	ga_ls8c_ard_3-2-1_113077_2024-04-02_final
2024-04-03 09:05:57	ga_ls8c_ard_3-2-1_088080_2024-04-02_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-05 10:31:16	ga_ls8c_ard_3-2-1_102077_2024-04-05_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