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
2015-08-07 11:44:15	ga_ls8c_ard_3-0-0_114074_2015-08-07_final
2015-08-07 11:44:39	ga_ls8c_ard_3-0-0_114075_2015-08-07_final
2015-08-07 11:45:03	ga_ls8c_ard_3-0-0_114076_2015-08-07_final
2015-08-07 11:45:27	ga_ls8c_ard_3-0-0_114077_2015-08-07_final
2015-08-07 11:45:51	ga_ls8c_ard_3-0-0_114078_2015-08-07_final
2015-08-09 11:34:42	ga_ls8c_ard_3-0-0_112081_2015-08-09_final
2015-08-09 11:35:06	ga_ls8c_ard_3-0-0_112082_2015-08-09_final
2015-08-09 11:35:30	ga_ls8c_ard_3-0-0_112083_2015-08-09_final
2015-08-09 11:35:54	ga_ls8c_ard_3-0-0_112084_2015-08-09_final
2015-08-09 11:36:18	ga_ls8c_ard_3-0-0_112085_2015-08-09_final
2015-08-16 11:39:22	ga_ls8c_ard_3-0-0_113077_2015-08-16_final
2015-08-16 11:39:46	ga_ls8c_ard_3-0-0_113078_2015-08-16_final
2015-08-16 11:40:10	ga_ls8c_ard_3-0-0_113079_2015-08-16_final
2015-08-16 11:40:33	ga_ls8c_ard_3-0-0_113080_2015-08-16_final
2015-10-17 11:50:25	ga_ls8c_ard_3-0-0_115073_2015-10-17_final
2015-10-19 11:39:41	ga_ls8c_ard_3-0-0_113077_2015-10-19_final
2015-10-19 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-10-19_final
2015-10-19 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-10-19_final
2015-10-19 11:40:53	ga_ls8c_ard_3-0-0_113080_2015-10-19_final
2015-10-19 11:41:17	ga_ls8c_ard_3-0-0_113081_2015-10-19_final
2015-10-19 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-10-19_final
2015-11-02 11:50:31	ga_ls8c_ard_3-0-0_115073_2015-11-02_final
2015-11-11 11:44:44	ga_ls8c_ard_3-0-0_114074_2015-11-11_final
2015-11-11 11:45:08	ga_ls8c_ard_3-0-0_114075_2015-11-11_final
2015-11-11 11:45:32	ga_ls8c_ard_3-0-0_114076_2015-11-11_final
2015-11-11 11:45:56	ga_ls8c_ard_3-0-0_114077_2015-11-11_final
2015-11-11 11:46:20	ga_ls8c_ard_3-0-0_114078_2015-11-11_final
2015-11-13 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-11-13_final
2015-11-13 11:35:33	ga_ls8c_ard_3-0-0_112082_2015-11-13_final
2015-11-13 11:35:57	ga_ls8c_ard_3-0-0_112083_2015-11-13_final
2015-11-13 11:36:21	ga_ls8c_ard_3-0-0_112084_2015-11-13_final
2015-11-13 11:36:45	ga_ls8c_ard_3-0-0_112085_2015-11-13_final
2015-11-18 11:50:32	ga_ls8c_ard_3-0-0_115073_2015-11-18_final
2015-11-20 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-11-20_final
2015-11-20 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-11-20_final
2015-11-20 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-11-20_final
2015-11-20 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-11-20_final
2015-11-20 11:41:23	ga_ls8c_ard_3-0-0_113081_2015-11-20_final
2015-11-20 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-11-20_final
2018-05-18 11:49:23	ga_ls8c_ard_3-0-0_115073_2018-05-18_final
2018-05-20 11:38:36	ga_ls8c_ard_3-0-0_113077_2018-05-20_final
2018-05-20 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-05-20_final
2018-05-20 11:39:24	ga_ls8c_ard_3-0-0_113079_2018-05-20_final
2018-05-20 11:39:48	ga_ls8c_ard_3-0-0_113080_2018-05-20_final
2018-05-20 11:40:11	ga_ls8c_ard_3-0-0_113081_2018-05-20_final
2018-05-20 11:40:35	ga_ls8c_ard_3-0-0_113082_2018-05-20_final
2018-05-22 11:29:24	ga_ls8c_ard_3-0-0_111085_2018-05-22_final
2019-07-26 11:39:39	ga_ls8c_ard_3-1-0_113077_2019-07-26_final
2019-07-26 11:40:03	ga_ls8c_ard_3-1-0_113078_2019-07-26_final
2019-07-26 11:40:27	ga_ls8c_ard_3-1-0_113079_2019-07-26_final
2019-07-26 11:40:51	ga_ls8c_ard_3-1-0_113080_2019-07-26_final
2019-07-26 11:41:15	ga_ls8c_ard_3-1-0_113081_2019-07-26_final
2019-07-26 11:41:39	ga_ls8c_ard_3-1-0_113082_2019-07-26_final
2019-07-28 11:30:06	ga_ls8c_ard_3-1-0_111084_2019-07-28_final
2019-07-28 11:30:30	ga_ls8c_ard_3-1-0_111085_2019-07-28_final
2019-09-12 11:39:54	ga_ls8c_ard_3-1-0_113077_2019-09-12_final
2019-09-12 11:40:18	ga_ls8c_ard_3-1-0_113078_2019-09-12_final
2019-09-12 11:40:42	ga_ls8c_ard_3-1-0_113079_2019-09-12_final
2019-09-12 11:41:06	ga_ls8c_ard_3-1-0_113080_2019-09-12_final
2019-09-12 11:41:30	ga_ls8c_ard_3-1-0_113081_2019-09-12_final
2019-09-12 11:41:54	ga_ls8c_ard_3-1-0_113082_2019-09-12_final
2019-09-14 11:30:21	ga_ls8c_ard_3-1-0_111084_2019-09-14_final
2019-09-14 11:30:45	ga_ls8c_ard_3-1-0_111085_2019-09-14_final
2019-10-14 11:40:02	ga_ls8c_ard_3-1-0_113077_2019-10-14_final
2019-10-14 11:40:26	ga_ls8c_ard_3-1-0_113078_2019-10-14_final
2019-10-14 11:40:50	ga_ls8c_ard_3-1-0_113079_2019-10-14_final
2019-10-14 11:41:14	ga_ls8c_ard_3-1-0_113080_2019-10-14_final
2019-10-14 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-14_final
2019-10-14 11:42:02	ga_ls8c_ard_3-1-0_113082_2019-10-14_final
2019-10-16 11:30:28	ga_ls8c_ard_3-1-0_111084_2019-10-16_final
2019-10-16 11:30:52	ga_ls8c_ard_3-1-0_111085_2019-10-16_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_final
2019-12-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2019-12-01_final
2019-12-01 11:40:46	ga_ls8c_ard_3-1-0_113079_2019-12-01_final
2019-12-01 11:41:10	ga_ls8c_ard_3-1-0_113080_2019-12-01_final
2019-12-01 11:41:34	ga_ls8c_ard_3-1-0_113081_2019-12-01_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_final
2019-12-03 11:30:48	ga_ls8c_ard_3-1-0_111085_2019-12-03_final
2020-02-19 11:39:40	ga_ls8c_ard_3-1-0_113077_2020-02-19_final
2020-02-19 11:40:04	ga_ls8c_ard_3-1-0_113078_2020-02-19_final
2020-02-19 11:40:27	ga_ls8c_ard_3-1-0_113079_2020-02-19_final
2020-02-19 11:40:51	ga_ls8c_ard_3-1-0_113080_2020-02-19_final
2020-02-19 11:41:15	ga_ls8c_ard_3-1-0_113081_2020-02-19_final
2020-02-19 11:41:39	ga_ls8c_ard_3-1-0_113082_2020-02-19_final
2020-02-21 11:30:29	ga_ls8c_ard_3-1-0_111085_2020-02-21_final
2020-03-22 11:39:26	ga_ls8c_ard_3-1-0_113077_2020-03-22_final
2020-03-22 11:39:50	ga_ls8c_ard_3-1-0_113078_2020-03-22_final
2020-03-22 11:40:14	ga_ls8c_ard_3-1-0_113079_2020-03-22_final
2020-03-22 11:40:38	ga_ls8c_ard_3-1-0_113080_2020-03-22_final
2020-03-22 11:41:02	ga_ls8c_ard_3-1-0_113081_2020-03-22_final
2020-03-22 11:41:26	ga_ls8c_ard_3-1-0_113082_2020-03-22_final
2020-12-10 11:44:59	ga_ls8c_ard_3-1-0_114074_2020-12-10_final
2020-12-10 11:45:23	ga_ls8c_ard_3-1-0_114075_2020-12-10_final
2020-12-10 11:45:47	ga_ls8c_ard_3-1-0_114076_2020-12-10_final
2020-12-10 11:46:11	ga_ls8c_ard_3-1-0_114077_2020-12-10_final
2020-12-10 11:46:35	ga_ls8c_ard_3-1-0_114078_2020-12-10_final
2020-12-12 11:35:25	ga_ls8c_ard_3-1-0_112081_2020-12-12_final
2020-12-12 11:35:49	ga_ls8c_ard_3-1-0_112082_2020-12-12_final
2020-12-12 11:36:12	ga_ls8c_ard_3-1-0_112083_2020-12-12_final
2020-12-12 11:36:36	ga_ls8c_ard_3-1-0_112084_2020-12-12_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