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
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2022-03-01 11:57:24	ga_ls8c_ard_3-2-1_116075_2022-03-01_final
2023-09-25 08:10:48	ga_ls8c_ard_3-2-1_079080_2023-09-24_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-12 10:30:14	ga_ls8c_ard_3-2-1_102073_2023-10-12_final
2023-10-13 11:15:05	ga_ls8c_ard_3-2-1_109077_2023-10-13_final
2023-10-13 11:15:53	ga_ls8c_ard_3-2-1_109079_2023-10-13_final
2023-10-14 11:58:45	ga_ls8c_ard_3-2-1_116078_2023-10-14_final
2023-10-15 09:26:38	ga_ls8c_ard_3-2-1_091084_2023-10-14_final
2023-10-16 10:07:06	ga_ls8c_ard_3-2-1_098077_2023-10-16_final
2023-10-22 09:30:49	ga_ls8c_ard_3-2-1_092079_2023-10-22_final
2023-10-23 10:14:53	ga_ls8c_ard_3-2-1_099081_2023-10-23_final
2023-10-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2023-10-24_final
2023-10-27 08:10:55	ga_ls8c_ard_3-2-1_079080_2023-10-26_final
2023-11-01 10:09:33	ga_ls8c_ard_3-2-1_098083_2023-11-01_final
2023-11-02 09:14:19	ga_ls8c_ard_3-2-1_089084_2023-11-01_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-05 09:41:13	ga_ls8c_ard_3-2-1_094074_2023-11-05_final
2023-11-05 11:19:18	ga_ls8c_ard_3-2-1_110072_2023-11-05_final
2023-11-07 09:30:50	ga_ls8c_ard_3-2-1_092079_2023-11-07_final
2023-11-07 11:07:19	ga_ls8c_ard_3-2-1_108073_2023-11-07_final
2023-11-07 11:07:43	ga_ls8c_ard_3-2-1_108074_2023-11-07_final
2023-11-07 11:10:06	ga_ls8c_ard_3-2-1_108080_2023-11-07_final
2023-11-12 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-11-12_final
2023-11-12 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-11-12_final
2023-11-16 09:25:52	ga_ls8c_ard_3-2-1_091082_2023-11-15_final
2023-11-16 11:01:58	ga_ls8c_ard_3-2-1_107075_2023-11-16_final
2023-11-16 12:37:40	ga_ls8c_ard_3-2-1_123067_2023-11-16_final
2023-11-19 11:33:41	ga_ls8c_ard_3-2-1_112077_2023-11-19_final
2023-11-23 11:08:59	ga_ls8c_ard_3-2-1_108077_2023-11-23_final
2023-11-23 11:09:47	ga_ls8c_ard_3-2-1_108079_2023-11-23_final
2023-11-24 11:51:03	ga_ls8c_ard_3-2-1_115074_2023-11-24_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-11-28 11:28:19	ga_ls8c_ard_3-2-1_111079_2023-11-28_final
2023-12-01 10:20:42	ga_ls8c_ard_3-2-1_100080_2023-12-01_final
2023-12-01 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-01_final
2023-12-04 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-12-04_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-07 09:42:18	ga_ls8c_ard_3-2-1_094077_2023-12-07_final
2023-12-08 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-12-08_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-15 10:33:03	ga_ls8c_ard_3-2-1_102080_2023-12-15_final
2023-12-16 09:38:14	ga_ls8c_ard_3-2-1_093082_2023-12-16_final
2023-12-16 11:17:55	ga_ls8c_ard_3-2-1_109084_2023-12-16_final
2023-12-22 10:34:52	ga_ls8c_ard_3-2-1_103069_2023-12-22_final
2023-12-23 09:45:38	ga_ls8c_ard_3-2-1_094085_2023-12-23_final
2023-12-25 09:34:27	ga_ls8c_ard_3-2-1_092088_2023-12-25_final
2023-12-25 11:11:45	ga_ls8c_ard_3-2-1_108084_2023-12-25_final
2023-12-28 11:38:38	ga_ls8c_ard_3-2-1_113074_2023-12-28_final
2023-12-30 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-12-30_final
2023-12-30 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-12-30_final
2023-12-30 11:28:14	ga_ls8c_ard_3-2-1_111079_2023-12-30_final
2024-01-02 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-02_final
2024-01-03 09:25:46	ga_ls8c_ard_3-2-1_091082_2024-01-02_final
2024-01-03 10:59:52	ga_ls8c_ard_3-2-1_107070_2024-01-03_final
2024-01-03 11:00:16	ga_ls8c_ard_3-2-1_107071_2024-01-03_final
2024-01-06 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-06_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-12 10:58:54	ga_ls8c_ard_3-2-1_106083_2024-01-12_final
2024-01-15 11:28:36	ga_ls8c_ard_3-2-1_111080_2024-01-15_final
2024-01-17 09:36:57	ga_ls8c_ard_3-2-1_093079_2024-01-17_final
2024-01-17 11:15:50	ga_ls8c_ard_3-2-1_109079_2024-01-17_final
2024-01-19 11:05:04	ga_ls8c_ard_3-2-1_107083_2024-01-19_final
2024-01-21 10:50:41	ga_ls8c_ard_3-2-1_105078_2024-01-21_final
2024-01-22 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-22_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-23 10:37:06	ga_ls8c_ard_3-2-1_103075_2024-01-23_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_final
2024-01-24 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-01-24_final
2024-01-31 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-01-31_final
2024-01-31 09:52:26	ga_ls8c_ard_3-2-1_095087_2024-01-31_final
2024-02-01 10:28:32	ga_ls8c_ard_3-2-1_102069_2024-02-01_final
2024-02-01 10:32:55	ga_ls8c_ard_3-2-1_102080_2024-02-01_final
2024-02-02 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-02_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-07 11:33:34	ga_ls8c_ard_3-2-1_112077_2024-02-07_final
2024-02-08 10:39:56	ga_ls8c_ard_3-2-1_103082_2024-02-08_final
2024-02-09 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-02-09_final
2024-02-11 11:07:15	ga_ls8c_ard_3-2-1_108073_2024-02-11_final
2024-02-11 11:11:38	ga_ls8c_ard_3-2-1_108084_2024-02-11_final
2024-02-13 09:20:47	ga_ls8c_ard_3-2-1_090085_2024-02-12_final
2024-02-13 10:55:40	ga_ls8c_ard_3-2-1_106075_2024-02-13_final
2024-02-18 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-18_final
2024-02-23 11:35:54	ga_ls8c_ard_3-2-1_112083_2024-02-23_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-25 11:21:08	ga_ls8c_ard_3-2-1_110077_2024-02-25_final
2024-02-27 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-02-27_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-03-03 11:28:01	ga_ls8c_ard_3-2-1_111079_2024-03-03_final
2024-03-05 09:37:08	ga_ls8c_ard_3-2-1_093080_2024-03-05_final
2024-03-05 11:15:13	ga_ls8c_ard_3-2-1_109078_2024-03-05_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-10 09:55:14	ga_ls8c_ard_3-2-1_096079_2024-03-10_final
2024-03-10 09:57:38	ga_ls8c_ard_3-2-1_096085_2024-03-10_final
2024-03-11 10:39:41	ga_ls8c_ard_3-2-1_103082_2024-03-11_final
2024-04-04 11:29:41	ga_ls8c_ard_3-2-1_111084_2024-04-04_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