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
2015-01-20 11:39:38	ga_ls8c_ard_3-0-0_113077_2015-01-20_final
2015-01-20 11:40:02	ga_ls8c_ard_3-0-0_113078_2015-01-20_final
2015-01-20 11:40:25	ga_ls8c_ard_3-0-0_113079_2015-01-20_final
2015-01-20 11:40:49	ga_ls8c_ard_3-0-0_113080_2015-01-20_final
2015-01-20 11:41:13	ga_ls8c_ard_3-0-0_113081_2015-01-20_final
2015-01-20 11:41:37	ga_ls8c_ard_3-0-0_113082_2015-01-20_final
2015-02-21 11:39:27	ga_ls8c_ard_3-0-0_113077_2015-02-21_final
2015-02-21 11:39:51	ga_ls8c_ard_3-0-0_113078_2015-02-21_final
2015-02-21 11:40:15	ga_ls8c_ard_3-0-0_113079_2015-02-21_final
2015-02-21 11:40:39	ga_ls8c_ard_3-0-0_113080_2015-02-21_final
2015-02-21 11:41:03	ga_ls8c_ard_3-0-0_113081_2015-02-21_final
2015-02-21 11:41:27	ga_ls8c_ard_3-0-0_113082_2015-02-21_final
2015-03-16 11:44:13	ga_ls8c_ard_3-0-0_114074_2015-03-16_final
2015-03-16 11:44:37	ga_ls8c_ard_3-0-0_114075_2015-03-16_final
2015-12-31 11:35:10	ga_ls8c_ard_3-0-0_112081_2015-12-31_final
2015-12-31 11:35:34	ga_ls8c_ard_3-0-0_112082_2015-12-31_final
2015-12-31 11:35:58	ga_ls8c_ard_3-0-0_112083_2015-12-31_final
2015-12-31 11:36:22	ga_ls8c_ard_3-0-0_112084_2015-12-31_final
2015-12-31 11:36:46	ga_ls8c_ard_3-0-0_112085_2015-12-31_final
2016-01-09 11:30:08	ga_ls8c_ard_3-0-0_111084_2016-01-09_final
2016-01-09 11:30:32	ga_ls8c_ard_3-0-0_111085_2016-01-09_final
2016-02-10 11:30:04	ga_ls8c_ard_3-0-0_111084_2016-02-10_final
2016-02-10 11:30:28	ga_ls8c_ard_3-0-0_111085_2016-02-10_final
2016-02-17 11:34:58	ga_ls8c_ard_3-0-0_112081_2016-02-17_final
2016-02-17 11:35:22	ga_ls8c_ard_3-0-0_112082_2016-02-17_final
2016-02-17 11:35:46	ga_ls8c_ard_3-0-0_112083_2016-02-17_final
2016-02-17 11:36:10	ga_ls8c_ard_3-0-0_112084_2016-02-17_final
2016-02-17 11:36:34	ga_ls8c_ard_3-0-0_112085_2016-02-17_final
2016-02-26 11:29:58	ga_ls8c_ard_3-0-0_111084_2016-02-26_final
2016-02-26 11:30:22	ga_ls8c_ard_3-0-0_111085_2016-02-26_final
2016-04-05 11:34:42	ga_ls8c_ard_3-0-0_112081_2016-04-05_final
2016-04-05 11:35:06	ga_ls8c_ard_3-0-0_112082_2016-04-05_final
2016-04-05 11:35:30	ga_ls8c_ard_3-0-0_112083_2016-04-05_final
2016-04-05 11:35:54	ga_ls8c_ard_3-0-0_112084_2016-04-05_final
2016-04-05 11:36:18	ga_ls8c_ard_3-0-0_112085_2016-04-05_final
2016-04-14 11:29:40	ga_ls8c_ard_3-0-0_111084_2016-04-14_final
2016-04-14 11:30:04	ga_ls8c_ard_3-0-0_111085_2016-04-14_final
2016-04-21 11:34:36	ga_ls8c_ard_3-0-0_112081_2016-04-21_final
2016-04-21 11:35:00	ga_ls8c_ard_3-0-0_112082_2016-04-21_final
2016-04-21 11:35:24	ga_ls8c_ard_3-0-0_112083_2016-04-21_final
2016-04-21 11:35:48	ga_ls8c_ard_3-0-0_112084_2016-04-21_final
2016-04-21 11:36:12	ga_ls8c_ard_3-0-0_112085_2016-04-21_final
2016-11-29 11:44:58	ga_ls8c_ard_3-0-0_114074_2016-11-29_final
2016-11-29 11:45:22	ga_ls8c_ard_3-0-0_114075_2016-11-29_final
2016-11-29 11:45:46	ga_ls8c_ard_3-0-0_114076_2016-11-29_final
2016-11-29 11:46:10	ga_ls8c_ard_3-0-0_114077_2016-11-29_final
2016-11-29 11:46:33	ga_ls8c_ard_3-0-0_114078_2016-11-29_final
2016-12-15 11:44:54	ga_ls8c_ard_3-0-0_114074_2016-12-15_final
2016-12-15 11:45:18	ga_ls8c_ard_3-0-0_114075_2016-12-15_final
2016-12-15 11:45:42	ga_ls8c_ard_3-0-0_114076_2016-12-15_final
2016-12-15 11:46:06	ga_ls8c_ard_3-0-0_114077_2016-12-15_final
2016-12-15 11:46:30	ga_ls8c_ard_3-0-0_114078_2016-12-15_final
2017-01-18 11:35:12	ga_ls8c_ard_3-0-0_112081_2017-01-18_final
2017-01-18 11:35:36	ga_ls8c_ard_3-0-0_112082_2017-01-18_final
2017-01-18 11:36:00	ga_ls8c_ard_3-0-0_112083_2017-01-18_final
2017-01-18 11:36:24	ga_ls8c_ard_3-0-0_112084_2017-01-18_final
2017-01-18 11:36:48	ga_ls8c_ard_3-0-0_112085_2017-01-18_final
2017-02-01 11:44:40	ga_ls8c_ard_3-0-0_114074_2017-02-01_final
2017-02-01 11:45:04	ga_ls8c_ard_3-0-0_114075_2017-02-01_final
2017-02-01 11:45:28	ga_ls8c_ard_3-0-0_114076_2017-02-01_final
2017-02-01 11:45:52	ga_ls8c_ard_3-0-0_114077_2017-02-01_final
2017-02-01 11:46:16	ga_ls8c_ard_3-0-0_114078_2017-02-01_final
2017-02-17 11:44:33	ga_ls8c_ard_3-0-0_114074_2017-02-17_final
2017-02-17 11:44:57	ga_ls8c_ard_3-0-0_114075_2017-02-17_final
2017-02-17 11:45:21	ga_ls8c_ard_3-0-0_114076_2017-02-17_final
2017-02-17 11:45:45	ga_ls8c_ard_3-0-0_114077_2017-02-17_final
2017-02-17 11:46:09	ga_ls8c_ard_3-0-0_114078_2017-02-17_final
2017-03-05 11:44:27	ga_ls8c_ard_3-0-0_114074_2017-03-05_final
2017-03-05 11:44:51	ga_ls8c_ard_3-0-0_114075_2017-03-05_final
2017-03-05 11:45:15	ga_ls8c_ard_3-0-0_114076_2017-03-05_final
2017-03-05 11:45:39	ga_ls8c_ard_3-0-0_114077_2017-03-05_final
2017-03-05 11:46:03	ga_ls8c_ard_3-0-0_114078_2017-03-05_final
2018-09-16 11:44:15	ga_ls8c_ard_3-0-0_114074_2018-09-16_final
2018-09-16 11:44:39	ga_ls8c_ard_3-0-0_114075_2018-09-16_final
2018-09-16 11:45:03	ga_ls8c_ard_3-0-0_114076_2018-09-16_final
2018-09-16 11:45:27	ga_ls8c_ard_3-0-0_114077_2018-09-16_final
2018-09-16 11:45:51	ga_ls8c_ard_3-0-0_114078_2018-09-16_final
2018-11-03 11:44:33	ga_ls8c_ard_3-0-0_114074_2018-11-03_final
2018-11-03 11:44:57	ga_ls8c_ard_3-0-0_114075_2018-11-03_final
2018-11-03 11:45:21	ga_ls8c_ard_3-0-0_114076_2018-11-03_final
2018-11-03 11:45:45	ga_ls8c_ard_3-0-0_114077_2018-11-03_final
2018-11-03 11:46:09	ga_ls8c_ard_3-0-0_114078_2018-11-03_final
2018-12-12 11:50:17	ga_ls8c_ard_3-0-0_115073_2018-12-12_final
2018-12-14 11:39:31	ga_ls8c_ard_3-0-0_113077_2018-12-14_final
2018-12-14 11:39:54	ga_ls8c_ard_3-0-0_113078_2018-12-14_final
2018-12-14 11:40:18	ga_ls8c_ard_3-0-0_113079_2018-12-14_final
2018-12-14 11:40:42	ga_ls8c_ard_3-0-0_113080_2018-12-14_final
2018-12-14 11:41:06	ga_ls8c_ard_3-0-0_113081_2018-12-14_final
2018-12-14 11:41:30	ga_ls8c_ard_3-0-0_113082_2018-12-14_final
2019-01-06 11:44:29	ga_ls8c_ard_3-0-0_114074_2019-01-06_final
2019-01-06 11:44:53	ga_ls8c_ard_3-0-0_114075_2019-01-06_final
2019-01-06 11:45:17	ga_ls8c_ard_3-0-0_114076_2019-01-06_final
2019-01-06 11:45:41	ga_ls8c_ard_3-0-0_114077_2019-01-06_final
2019-01-06 11:46:05	ga_ls8c_ard_3-0-0_114078_2019-01-06_final
2019-01-13 11:50:15	ga_ls8c_ard_3-0-0_115073_2019-01-13_final
2019-01-15 11:39:29	ga_ls8c_ard_3-0-0_113077_2019-01-15_final
2019-01-15 11:39:53	ga_ls8c_ard_3-0-0_113078_2019-01-15_final
2019-01-15 11:40:17	ga_ls8c_ard_3-0-0_113079_2019-01-15_final
2019-01-15 11:40:41	ga_ls8c_ard_3-0-0_113080_2019-01-15_final
2019-01-15 11:41:05	ga_ls8c_ard_3-0-0_113081_2019-01-15_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