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
2014-07-28 11:39:34	ga_ls8c_ard_3-0-0_113077_2014-07-28_final
2014-07-28 11:39:58	ga_ls8c_ard_3-0-0_113078_2014-07-28_final
2014-07-28 11:40:22	ga_ls8c_ard_3-0-0_113079_2014-07-28_final
2014-07-28 11:40:46	ga_ls8c_ard_3-0-0_113080_2014-07-28_final
2014-07-28 11:41:09	ga_ls8c_ard_3-0-0_113081_2014-07-28_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-08-15 11:30:08	ga_ls8c_ard_3-0-0_111084_2014-08-15_final
2014-08-20 11:44:42	ga_ls8c_ard_3-0-0_114074_2014-08-20_final
2014-08-20 11:45:06	ga_ls8c_ard_3-0-0_114075_2014-08-20_final
2014-08-20 11:45:30	ga_ls8c_ard_3-0-0_114076_2014-08-20_final
2014-08-20 11:45:54	ga_ls8c_ard_3-0-0_114077_2014-08-20_final
2014-08-20 11:46:18	ga_ls8c_ard_3-0-0_114078_2014-08-20_final
2014-08-22 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-08-22_final
2014-08-22 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-08-22_final
2014-08-22 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-08-22_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-10-09 11:35:15	ga_ls8c_ard_3-0-0_112081_2014-10-09_final
2014-10-09 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-10-09_final
2014-10-09 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-10-09_final
2014-10-09 11:36:27	ga_ls8c_ard_3-0-0_112084_2014-10-09_final
2014-10-16 11:39:53	ga_ls8c_ard_3-0-0_113077_2014-10-16_final
2014-10-16 11:40:16	ga_ls8c_ard_3-0-0_113078_2014-10-16_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2014-10-16 11:41:04	ga_ls8c_ard_3-0-0_113080_2014-10-16_final
2014-10-16 11:41:28	ga_ls8c_ard_3-0-0_113081_2014-10-16_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-11-17 11:39:51	ga_ls8c_ard_3-0-0_113077_2014-11-17_final
2014-11-17 11:40:14	ga_ls8c_ard_3-0-0_113078_2014-11-17_final
2014-11-17 11:40:38	ga_ls8c_ard_3-0-0_113079_2014-11-17_final
2014-11-17 11:41:02	ga_ls8c_ard_3-0-0_113080_2014-11-17_final
2014-11-17 11:41:26	ga_ls8c_ard_3-0-0_113081_2014-11-17_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-11-24 11:44:48	ga_ls8c_ard_3-0-0_114074_2014-11-24_final
2014-11-24 11:45:12	ga_ls8c_ard_3-0-0_114075_2014-11-24_final
2014-11-24 11:45:36	ga_ls8c_ard_3-0-0_114076_2014-11-24_final
2014-11-24 11:46:00	ga_ls8c_ard_3-0-0_114077_2014-11-24_final
2014-11-24 11:46:24	ga_ls8c_ard_3-0-0_114078_2014-11-24_final
2018-05-22 11:29:24	ga_ls8c_ard_3-0-0_111085_2018-05-22_final
2018-06-03 11:49:11	ga_ls8c_ard_3-0-0_115073_2018-06-03_final
2018-06-05 11:38:25	ga_ls8c_ard_3-0-0_113077_2018-06-05_final
2018-06-05 11:38:49	ga_ls8c_ard_3-0-0_113078_2018-06-05_final
2018-06-05 11:39:13	ga_ls8c_ard_3-0-0_113079_2018-06-05_final
2018-06-05 11:39:37	ga_ls8c_ard_3-0-0_113080_2018-06-05_final
2018-06-05 11:40:01	ga_ls8c_ard_3-0-0_113081_2018-06-05_final
2018-06-05 11:40:25	ga_ls8c_ard_3-0-0_113082_2018-06-05_final
2018-06-30 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-06-30_final
2018-06-30 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-06-30_final
2018-06-30 11:34:54	ga_ls8c_ard_3-0-0_112083_2018-06-30_final
2018-06-30 11:35:18	ga_ls8c_ard_3-0-0_112084_2018-06-30_final
2018-06-30 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-06-30_final
2018-07-07 11:38:45	ga_ls8c_ard_3-0-0_113077_2018-07-07_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-07 11:39:33	ga_ls8c_ard_3-0-0_113079_2018-07-07_final
2018-07-07 11:39:57	ga_ls8c_ard_3-0-0_113080_2018-07-07_final
2018-07-07 11:40:21	ga_ls8c_ard_3-0-0_113081_2018-07-07_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-09 11:29:12	ga_ls8c_ard_3-0-0_111084_2018-07-09_final
2018-07-09 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-07-09_final
2018-07-25 11:29:42	ga_ls8c_ard_3-0-0_111085_2018-07-25_final
2018-08-06 11:49:45	ga_ls8c_ard_3-0-0_115073_2018-08-06_final
2018-08-08 11:39:01	ga_ls8c_ard_3-0-0_113077_2018-08-08_final
2018-08-08 11:39:25	ga_ls8c_ard_3-0-0_113078_2018-08-08_final
2018-08-08 11:39:48	ga_ls8c_ard_3-0-0_113079_2018-08-08_final
2018-08-08 11:40:12	ga_ls8c_ard_3-0-0_113080_2018-08-08_final
2018-08-08 11:40:36	ga_ls8c_ard_3-0-0_113081_2018-08-08_final
2018-08-08 11:41:00	ga_ls8c_ard_3-0-0_113082_2018-08-08_final
2018-08-10 11:29:52	ga_ls8c_ard_3-0-0_111085_2018-08-10_final
2018-08-26 11:29:59	ga_ls8c_ard_3-0-0_111085_2018-08-26_final
2018-09-02 11:34:37	ga_ls8c_ard_3-0-0_112081_2018-09-02_final
2018-09-02 11:35:01	ga_ls8c_ard_3-0-0_112082_2018-09-02_final
2018-09-02 11:35:25	ga_ls8c_ard_3-0-0_112083_2018-09-02_final
2018-09-02 11:35:49	ga_ls8c_ard_3-0-0_112084_2018-09-02_final
2018-09-02 11:36:13	ga_ls8c_ard_3-0-0_112085_2018-09-02_final
2018-09-07 11:50:00	ga_ls8c_ard_3-0-0_115073_2018-09-07_final
2018-09-09 11:39:14	ga_ls8c_ard_3-0-0_113077_2018-09-09_final
2018-09-09 11:39:38	ga_ls8c_ard_3-0-0_113078_2018-09-09_final
2018-09-09 11:40:02	ga_ls8c_ard_3-0-0_113079_2018-09-09_final
2018-09-09 11:40:26	ga_ls8c_ard_3-0-0_113080_2018-09-09_final
2018-09-09 11:40:50	ga_ls8c_ard_3-0-0_113081_2018-09-09_final
2018-09-09 11:41:14	ga_ls8c_ard_3-0-0_113082_2018-09-09_final
2018-09-11 11:30:05	ga_ls8c_ard_3-0-0_111085_2018-09-11_final
2018-10-13 11:29:54	ga_ls8c_ard_3-0-0_111084_2018-10-13_final
2018-10-13 11:30:18	ga_ls8c_ard_3-0-0_111085_2018-10-13_final
2018-10-29 11:29:59	ga_ls8c_ard_3-0-0_111084_2018-10-29_final
2018-10-29 11:30:23	ga_ls8c_ard_3-0-0_111085_2018-10-29_final
2018-11-14 11:30:01	ga_ls8c_ard_3-0-0_111084_2018-11-14_final
2018-11-14 11:30:25	ga_ls8c_ard_3-0-0_111085_2018-11-14_final
2019-01-17 11:30:18	ga_ls8c_ard_3-0-0_111085_2019-01-17_final
2019-11-17 11:30:49	ga_ls8c_ard_3-1-0_111085_2019-11-17_final
2020-02-12 11:35:06	ga_ls8c_ard_3-1-0_112081_2020-02-12_final
2020-02-12 11:35:30	ga_ls8c_ard_3-1-0_112082_2020-02-12_final
2020-04-30 11:44:06	ga_ls8c_ard_3-1-0_114074_2020-04-30_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-04-30 11:44:54	ga_ls8c_ard_3-1-0_114076_2020-04-30_final
2020-04-30 11:45:18	ga_ls8c_ard_3-1-0_114077_2020-04-30_final
2020-04-30 11:45:42	ga_ls8c_ard_3-1-0_114078_2020-04-30_final
2020-06-17 11:44:17	ga_ls8c_ard_3-1-0_114074_2020-06-17_final
2020-06-17 11:44:41	ga_ls8c_ard_3-1-0_114075_2020-06-17_final
2020-06-17 11:45:05	ga_ls8c_ard_3-1-0_114076_2020-06-17_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_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