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
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2021-03-16 10:02:23	ga_ls8c_ard_3-2-1_098066_2021-03-16_final
2021-03-16 10:02:47	ga_ls8c_ard_3-2-0_098067_2021-03-16_final
2021-03-16 10:03:11	ga_ls8c_ard_3-2-0_098068_2021-03-16_final
2021-03-16 10:03:35	ga_ls8c_ard_3-2-0_098069_2021-03-16_final
2021-03-18 09:52:48	ga_ls8c_ard_3-2-0_096073_2021-03-18_final
2021-03-18 09:53:12	ga_ls8c_ard_3-2-0_096074_2021-03-18_final
2021-03-18 09:53:36	ga_ls8c_ard_3-2-0_096075_2021-03-18_final
2021-03-18 09:54:00	ga_ls8c_ard_3-2-0_096076_2021-03-18_final
2021-03-18 09:54:24	ga_ls8c_ard_3-2-0_096077_2021-03-18_final
2021-03-18 09:54:48	ga_ls8c_ard_3-2-0_096078_2021-03-18_final
2021-03-18 09:55:12	ga_ls8c_ard_3-2-0_096079_2021-03-18_final
2021-03-22 09:34:28	ga_ls8c_ard_3-2-0_092089_2021-03-22_final
2021-03-22 09:34:51	ga_ls8c_ard_3-2-0_092090_2021-03-22_final
2021-04-07 09:34:23	ga_ls8c_ard_3-2-0_092089_2021-04-07_final
2021-04-07 09:34:47	ga_ls8c_ard_3-2-0_092090_2021-04-07_final
2021-04-10 09:57:18	ga_ls8c_ard_3-2-0_097069_2021-04-10_final
2021-04-10 09:57:41	ga_ls8c_ard_3-2-0_097070_2021-04-10_final
2021-04-10 09:58:05	ga_ls8c_ard_3-2-0_097071_2021-04-10_final
2021-04-10 09:58:29	ga_ls8c_ard_3-2-0_097072_2021-04-10_final
2021-04-10 09:58:53	ga_ls8c_ard_3-2-0_097073_2021-04-10_final
2021-04-10 09:59:17	ga_ls8c_ard_3-2-0_097074_2021-04-10_final
2021-04-12 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-04-12_final
2021-04-12 09:48:55	ga_ls8c_ard_3-2-0_095079_2021-04-12_final
2021-04-12 09:49:18	ga_ls8c_ard_3-2-0_095080_2021-04-12_final
2021-04-12 09:49:42	ga_ls8c_ard_3-2-0_095081_2021-04-12_final
2021-04-12 09:50:06	ga_ls8c_ard_3-2-0_095082_2021-04-12_final
2021-04-12 09:50:30	ga_ls8c_ard_3-2-0_095083_2021-04-12_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-04-14 09:39:20	ga_ls8c_ard_3-2-0_093086_2021-04-14_final
2021-04-14 09:39:44	ga_ls8c_ard_3-2-0_093087_2021-04-14_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-04-19 09:52:39	ga_ls8c_ard_3-2-0_096073_2021-04-19_final
2021-04-19 09:53:02	ga_ls8c_ard_3-2-0_096074_2021-04-19_final
2021-04-19 09:53:26	ga_ls8c_ard_3-2-0_096075_2021-04-19_final
2021-04-19 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-04-19_final
2021-04-19 09:54:14	ga_ls8c_ard_3-2-0_096077_2021-04-19_final
2021-04-19 09:54:38	ga_ls8c_ard_3-2-0_096078_2021-04-19_final
2021-04-19 09:55:02	ga_ls8c_ard_3-2-0_096079_2021-04-19_final
2021-04-21 09:43:51	ga_ls8c_ard_3-2-0_094082_2021-04-21_final
2021-04-21 09:44:15	ga_ls8c_ard_3-2-0_094083_2021-04-21_final
2021-04-21 09:44:39	ga_ls8c_ard_3-2-0_094084_2021-04-21_final
2021-04-21 09:45:03	ga_ls8c_ard_3-2-0_094085_2021-04-21_final
2021-04-21 09:45:27	ga_ls8c_ard_3-2-0_094086_2021-04-21_final
2021-04-21 09:45:51	ga_ls8c_ard_3-2-0_094087_2021-04-21_final
2021-04-23 09:34:16	ga_ls8c_ard_3-2-0_092089_2021-04-23_final
2021-04-23 09:34:40	ga_ls8c_ard_3-2-0_092090_2021-04-23_final
2021-05-12 09:57:07	ga_ls8c_ard_3-2-0_097069_2021-05-12_final
2021-05-12 09:57:31	ga_ls8c_ard_3-2-0_097070_2021-05-12_final
2021-05-12 09:57:55	ga_ls8c_ard_3-2-0_097071_2021-05-12_final
2021-05-12 09:58:19	ga_ls8c_ard_3-2-0_097072_2021-05-12_final
2021-05-12 09:58:43	ga_ls8c_ard_3-2-0_097073_2021-05-12_final
2021-05-12 09:59:07	ga_ls8c_ard_3-2-0_097074_2021-05-12_final
2021-05-14 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-05-14_final
2021-05-14 09:48:46	ga_ls8c_ard_3-2-0_095079_2021-05-14_final
2021-05-14 09:49:10	ga_ls8c_ard_3-2-0_095080_2021-05-14_final
2021-05-14 09:49:34	ga_ls8c_ard_3-2-0_095081_2021-05-14_final
2021-05-14 09:49:58	ga_ls8c_ard_3-2-0_095082_2021-05-14_final
2021-05-14 09:50:22	ga_ls8c_ard_3-2-0_095083_2021-05-14_final
2021-05-21 09:52:38	ga_ls8c_ard_3-2-0_096073_2021-05-21_final
2021-05-21 09:53:02	ga_ls8c_ard_3-2-0_096074_2021-05-21_final
2021-05-21 09:53:26	ga_ls8c_ard_3-2-0_096075_2021-05-21_final
2021-05-21 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-05-21_final
2021-05-21 09:54:13	ga_ls8c_ard_3-2-0_096077_2021-05-21_final
2021-05-21 09:54:37	ga_ls8c_ard_3-2-0_096078_2021-05-21_final
2021-05-21 09:55:01	ga_ls8c_ard_3-2-0_096079_2021-05-21_final
2021-06-01 09:38:58	ga_ls8c_ard_3-2-0_093085_2021-06-01_final
2021-06-01 09:39:22	ga_ls8c_ard_3-2-0_093086_2021-06-01_final
2021-06-04 10:02:19	ga_ls8c_ard_3-2-1_098066_2021-06-04_final
2021-06-04 10:02:43	ga_ls8c_ard_3-2-0_098067_2021-06-04_final
2021-06-04 10:03:07	ga_ls8c_ard_3-2-0_098068_2021-06-04_final
2021-06-04 10:03:31	ga_ls8c_ard_3-2-0_098069_2021-06-04_final
2021-06-06 09:52:46	ga_ls8c_ard_3-2-0_096073_2021-06-06_final
2021-06-06 09:53:10	ga_ls8c_ard_3-2-0_096074_2021-06-06_final
2021-06-06 09:53:34	ga_ls8c_ard_3-2-0_096075_2021-06-06_final
2021-06-06 09:53:58	ga_ls8c_ard_3-2-0_096076_2021-06-06_final
2021-06-06 09:54:21	ga_ls8c_ard_3-2-0_096077_2021-06-06_final
2021-06-06 09:54:45	ga_ls8c_ard_3-2-0_096078_2021-06-06_final
2021-06-06 09:55:09	ga_ls8c_ard_3-2-0_096079_2021-06-06_final
2023-12-05 09:53:06	ga_ls8c_ard_3-2-1_096073_2023-12-05_final
2023-12-05 09:53:30	ga_ls8c_ard_3-2-1_096074_2023-12-05_final
2023-12-05 09:53:54	ga_ls8c_ard_3-2-1_096075_2023-12-05_final
2023-12-05 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-12-05_final
2023-12-05 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-12-05_final
2023-12-05 09:55:06	ga_ls8c_ard_3-2-1_096078_2023-12-05_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-07 09:44:18	ga_ls8c_ard_3-2-1_094082_2023-12-07_final
2023-12-07 09:44:42	ga_ls8c_ard_3-2-1_094083_2023-12-07_final
2023-12-07 09:45:06	ga_ls8c_ard_3-2-1_094084_2023-12-07_final
2023-12-07 09:45:30	ga_ls8c_ard_3-2-1_094085_2023-12-07_final
2023-12-07 09:45:54	ga_ls8c_ard_3-2-1_094086_2023-12-07_final
2023-12-07 09:46:18	ga_ls8c_ard_3-2-1_094087_2023-12-07_final
2023-12-12 09:58:31	ga_ls8c_ard_3-2-1_097071_2023-12-12_final
2023-12-12 09:58:55	ga_ls8c_ard_3-2-1_097072_2023-12-12_final
2023-12-12 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-12-12_final
2023-12-12 09:59:43	ga_ls8c_ard_3-2-1_097074_2023-12-12_final
2024-01-01 09:39:46	ga_ls8c_ard_3-2-1_093086_2024-01-01_final
2024-01-01 09:40:10	ga_ls8c_ard_3-2-1_093087_2024-01-01_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