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
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-22 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-12-22_final
2015-12-22 11:41:23	ga_ls8c_ard_3-0-0_113081_2015-12-22_final
2015-12-22 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-12-22_final
2015-12-22 11:42:11	ga_ls8c_ard_3-0-0_113083_2015-12-22_final
2015-12-22 11:42:35	ga_ls8c_ard_3-0-0_113084_2015-12-22_final
2016-01-05 11:50:29	ga_ls8c_ard_3-0-0_115073_2016-01-05_final
2016-01-05 11:50:53	ga_ls8c_ard_3-0-0_115074_2016-01-05_final
2016-01-05 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-05_final
2016-01-07 11:40:30	ga_ls8c_ard_3-0-0_113079_2016-01-07_final
2016-01-07 11:40:54	ga_ls8c_ard_3-0-0_113080_2016-01-07_final
2016-01-07 11:41:18	ga_ls8c_ard_3-0-0_113081_2016-01-07_final
2016-01-07 11:41:42	ga_ls8c_ard_3-0-0_113082_2016-01-07_final
2016-01-07 11:42:06	ga_ls8c_ard_3-0-0_113083_2016-01-07_final
2016-01-07 11:42:30	ga_ls8c_ard_3-0-0_113084_2016-01-07_final
2016-03-09 11:50:17	ga_ls8c_ard_3-0-0_115073_2016-03-09_final
2016-03-09 11:50:41	ga_ls8c_ard_3-0-0_115074_2016-03-09_final
2016-03-09 11:51:05	ga_ls8c_ard_3-0-0_115075_2016-03-09_final
2016-03-11 11:40:18	ga_ls8c_ard_3-0-0_113079_2016-03-11_final
2016-03-11 11:40:42	ga_ls8c_ard_3-0-0_113080_2016-03-11_final
2016-03-11 11:41:06	ga_ls8c_ard_3-0-0_113081_2016-03-11_final
2016-03-11 11:41:30	ga_ls8c_ard_3-0-0_113082_2016-03-11_final
2016-03-11 11:41:54	ga_ls8c_ard_3-0-0_113083_2016-03-11_final
2016-03-11 11:42:18	ga_ls8c_ard_3-0-0_113084_2016-03-11_final
2016-03-25 11:50:08	ga_ls8c_ard_3-0-0_115073_2016-03-25_final
2016-03-25 11:50:32	ga_ls8c_ard_3-0-0_115074_2016-03-25_final
2016-03-25 11:50:56	ga_ls8c_ard_3-0-0_115075_2016-03-25_final
2016-03-27 11:40:09	ga_ls8c_ard_3-0-0_113079_2016-03-27_final
2016-03-27 11:40:33	ga_ls8c_ard_3-0-0_113080_2016-03-27_final
2016-03-27 11:40:57	ga_ls8c_ard_3-0-0_113081_2016-03-27_final
2016-03-27 11:41:21	ga_ls8c_ard_3-0-0_113082_2016-03-27_final
2016-03-27 11:41:45	ga_ls8c_ard_3-0-0_113083_2016-03-27_final
2016-03-27 11:42:09	ga_ls8c_ard_3-0-0_113084_2016-03-27_final
2016-04-28 11:39:36	ga_ls8c_ard_3-0-0_113078_2016-04-28_final
2016-04-28 11:40:00	ga_ls8c_ard_3-0-0_113079_2016-04-28_final
2016-04-28 11:40:24	ga_ls8c_ard_3-0-0_113080_2016-04-28_final
2016-04-28 11:40:48	ga_ls8c_ard_3-0-0_113081_2016-04-28_final
2016-04-28 11:41:12	ga_ls8c_ard_3-0-0_113082_2016-04-28_final
2018-02-13 11:40:16	ga_ls8c_ard_3-0-0_113079_2018-02-13_final
2018-02-13 11:40:40	ga_ls8c_ard_3-0-0_113080_2018-02-13_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-13 11:41:51	ga_ls8c_ard_3-0-0_113083_2018-02-13_final
2018-02-13 11:42:15	ga_ls8c_ard_3-0-0_113084_2018-02-13_final
2020-01-16 11:50:35	ga_ls8c_ard_3-1-0_115073_2020-01-16_final
2020-01-16 11:50:59	ga_ls8c_ard_3-1-0_115074_2020-01-16_final
2020-01-16 11:51:23	ga_ls8c_ard_3-1-0_115075_2020-01-16_final
2020-01-18 11:40:36	ga_ls8c_ard_3-1-0_113079_2020-01-18_final
2020-01-18 11:41:00	ga_ls8c_ard_3-1-0_113080_2020-01-18_final
2020-01-18 11:41:24	ga_ls8c_ard_3-1-0_113081_2020-01-18_final
2020-01-18 11:41:48	ga_ls8c_ard_3-1-0_113082_2020-01-18_final
2020-01-18 11:42:12	ga_ls8c_ard_3-1-0_113083_2020-01-18_final
2020-01-18 11:42:36	ga_ls8c_ard_3-1-0_113084_2020-01-18_final
2020-03-20 11:50:13	ga_ls8c_ard_3-1-0_115073_2020-03-20_final
2020-03-20 11:50:37	ga_ls8c_ard_3-1-0_115074_2020-03-20_final
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-04-07 11:40:06	ga_ls8c_ard_3-1-0_113079_2020-04-07_final
2020-04-07 11:40:29	ga_ls8c_ard_3-1-0_113080_2020-04-07_final
2020-04-07 11:40:53	ga_ls8c_ard_3-1-0_113081_2020-04-07_final
2020-04-07 11:41:17	ga_ls8c_ard_3-1-0_113082_2020-04-07_final
2020-04-07 11:41:41	ga_ls8c_ard_3-1-0_113083_2020-04-07_final
2020-04-07 11:42:05	ga_ls8c_ard_3-1-0_113084_2020-04-07_final
2020-05-25 11:39:54	ga_ls8c_ard_3-1-0_113079_2020-05-25_final
2020-05-25 11:40:17	ga_ls8c_ard_3-1-0_113080_2020-05-25_final
2020-05-25 11:40:41	ga_ls8c_ard_3-1-0_113081_2020-05-25_final
2020-05-25 11:41:05	ga_ls8c_ard_3-1-0_113082_2020-05-25_final
2020-05-25 11:41:29	ga_ls8c_ard_3-1-0_113083_2020-05-25_final
2020-05-25 11:41:53	ga_ls8c_ard_3-1-0_113084_2020-05-25_final
2023-02-02 11:45:01	ga_ls8c_ard_3-2-1_114074_2023-02-02_final
2023-02-02 11:45:24	ga_ls8c_ard_3-2-1_114075_2023-02-02_final
2023-02-02 11:45:48	ga_ls8c_ard_3-2-1_114076_2023-02-02_final
2023-02-02 11:46:12	ga_ls8c_ard_3-2-1_114077_2023-02-02_final
2023-02-02 11:46:36	ga_ls8c_ard_3-2-1_114078_2023-02-02_final
2023-02-02 11:47:00	ga_ls8c_ard_3-2-1_114079_2023-02-02_final
2023-02-02 11:47:24	ga_ls8c_ard_3-2-1_114080_2023-02-02_final
2023-02-04 11:35:50	ga_ls8c_ard_3-2-1_112082_2023-02-04_final
2023-02-04 11:36:14	ga_ls8c_ard_3-2-1_112083_2023-02-04_final
2023-02-04 11:36:38	ga_ls8c_ard_3-2-1_112084_2023-02-04_final
2023-03-22 11:44:29	ga_ls8c_ard_3-2-1_114074_2023-03-22_final
2023-03-22 11:44:53	ga_ls8c_ard_3-2-1_114075_2023-03-22_final
2023-03-22 11:45:17	ga_ls8c_ard_3-2-1_114076_2023-03-22_final
2023-03-22 11:45:41	ga_ls8c_ard_3-2-1_114077_2023-03-22_final
2023-03-22 11:46:05	ga_ls8c_ard_3-2-1_114078_2023-03-22_final
2023-03-22 11:46:29	ga_ls8c_ard_3-2-1_114079_2023-03-22_final
2023-03-22 11:46:53	ga_ls8c_ard_3-2-1_114080_2023-03-22_final
2023-04-16 11:41:11	ga_ls8c_ard_3-2-1_113082_2023-04-16_final
2023-04-16 11:41:35	ga_ls8c_ard_3-2-1_113083_2023-04-16_final
2023-04-16 11:41:59	ga_ls8c_ard_3-2-1_113084_2023-04-16_final
2023-04-25 11:35:22	ga_ls8c_ard_3-2-1_112083_2023-04-25_final
2023-04-25 11:35:46	ga_ls8c_ard_3-2-1_112084_2023-04-25_final
2023-12-03 11:44:47	ga_ls8c_ard_3-2-1_114074_2023-12-03_final
2023-12-03 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-12-03_final
2023-12-03 11:45:35	ga_ls8c_ard_3-2-1_114076_2023-12-03_final
2023-12-03 11:45:59	ga_ls8c_ard_3-2-1_114077_2023-12-03_final
2023-12-03 11:46:23	ga_ls8c_ard_3-2-1_114078_2023-12-03_final
2023-12-03 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-12-03_final
2023-12-03 11:47:11	ga_ls8c_ard_3-2-1_114080_2023-12-03_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-05 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-12-05_final
2023-12-10 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-12-10_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