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
2015-04-21 11:19:40	ga_ls8c_ard_3-0-0_110075_2015-04-21_final
2015-06-08 11:19:31	ga_ls8c_ard_3-0-0_110075_2015-06-08_final
2015-07-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2015-07-10_final
2015-08-11 11:19:58	ga_ls8c_ard_3-0-0_110075_2015-08-11_final
2015-10-30 11:20:25	ga_ls8c_ard_3-0-0_110075_2015-10-30_final
2016-01-02 11:20:24	ga_ls8c_ard_3-0-0_110075_2016-01-02_final
2016-04-07 11:19:56	ga_ls8c_ard_3-0-0_110075_2016-04-07_final
2016-05-09 11:19:52	ga_ls8c_ard_3-0-0_110075_2016-05-09_final
2016-07-28 11:20:19	ga_ls8c_ard_3-0-0_110075_2016-07-28_final
2016-08-13 11:20:21	ga_ls8c_ard_3-0-0_110075_2016-08-13_final
2016-09-30 11:20:32	ga_ls8c_ard_3-0-0_110075_2016-09-30_final
2016-10-16 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-10-16_final
2016-11-01 11:20:39	ga_ls8c_ard_3-0-0_110075_2016-11-01_final
2016-11-17 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-11-17_final
2017-03-09 11:20:05	ga_ls8c_ard_3-0-0_110075_2017-03-09_final
2017-04-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2017-04-10_final
2017-04-26 11:19:38	ga_ls8c_ard_3-0-0_110075_2017-04-26_final
2017-05-12 11:19:42	ga_ls8c_ard_3-0-0_110075_2017-05-12_final
2017-05-28 11:19:52	ga_ls8c_ard_3-0-0_110075_2017-05-28_final
2017-06-13 11:20:00	ga_ls8c_ard_3-0-0_110075_2017-06-13_final
2017-06-29 11:20:04	ga_ls8c_ard_3-0-0_110075_2017-06-29_final
2017-07-15 11:20:07	ga_ls8c_ard_3-0-0_110075_2017-07-15_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2017-08-16 11:20:21	ga_ls8c_ard_3-0-0_110075_2017-08-16_final
2017-09-01 11:20:24	ga_ls8c_ard_3-0-0_110075_2017-09-01_final
2017-09-17 11:20:26	ga_ls8c_ard_3-0-0_110075_2017-09-17_final
2017-10-03 11:20:33	ga_ls8c_ard_3-0-0_110075_2017-10-03_final
2017-10-19 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-10-19_final
2017-11-04 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-11-04_final
2017-11-20 11:20:31	ga_ls8c_ard_3-0-0_110075_2017-11-20_final
2017-12-06 11:20:27	ga_ls8c_ard_3-0-0_110075_2017-12-06_final
2017-12-22 11:20:30	ga_ls8c_ard_3-0-0_110075_2017-12-22_final
2018-01-07 11:20:25	ga_ls8c_ard_3-0-0_110075_2018-01-07_final
2018-01-23 11:20:17	ga_ls8c_ard_3-0-0_110075_2018-01-23_final
2018-02-08 11:20:09	ga_ls8c_ard_3-0-0_110075_2018-02-08_final
2018-02-24 11:20:03	ga_ls8c_ard_3-0-0_110075_2018-02-24_final
2018-03-12 11:19:54	ga_ls8c_ard_3-0-0_110075_2018-03-12_final
2018-03-28 11:19:47	ga_ls8c_ard_3-0-0_110075_2018-03-28_final
2018-04-13 11:19:38	ga_ls8c_ard_3-0-0_110075_2018-04-13_final
2018-04-29 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-04-29_final
2018-05-15 11:19:19	ga_ls8c_ard_3-0-0_110075_2018-05-15_final
2018-05-31 11:19:06	ga_ls8c_ard_3-0-0_110075_2018-05-31_final
2018-06-16 11:19:12	ga_ls8c_ard_3-0-0_110075_2018-06-16_final
2018-07-02 11:19:22	ga_ls8c_ard_3-0-0_110075_2018-07-02_final
2018-07-18 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-07-18_final
2018-08-03 11:19:37	ga_ls8c_ard_3-0-0_110075_2018-08-03_final
2018-08-19 11:19:46	ga_ls8c_ard_3-0-0_110075_2018-08-19_final
2018-09-04 11:19:52	ga_ls8c_ard_3-0-0_110075_2018-09-04_final
2018-09-20 11:19:57	ga_ls8c_ard_3-0-0_110075_2018-09-20_final
2018-10-06 11:20:05	ga_ls8c_ard_3-0-0_110075_2018-10-06_final
2018-10-22 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-10-22_final
2018-11-07 11:20:14	ga_ls8c_ard_3-0-0_110075_2018-11-07_final
2018-12-25 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-12-25_final
2019-01-01 11:25:10	ga_ls8c_ard_3-0-0_111072_2019-01-01_final
2019-01-06 11:45:41	ga_ls8c_ard_3-0-0_114077_2019-01-06_final
2019-01-08 11:30:08	ga_ls8c_ard_3-0-0_112069_2019-01-08_final
2019-01-10 11:20:09	ga_ls8c_ard_3-0-0_110075_2019-01-10_final
2019-01-13 11:51:03	ga_ls8c_ard_3-0-0_115075_2019-01-13_final
2019-01-13 11:52:39	ga_ls8c_ard_3-0-0_115079_2019-01-13_final
2019-01-24 11:29:40	ga_ls8c_ard_3-0-0_112068_2019-01-24_final
2019-01-26 11:20:06	ga_ls8c_ard_3-0-0_110075_2019-01-26_final
2019-01-26 11:21:41	ga_ls8c_ard_3-0-0_110079_2019-01-26_final
2019-01-29 11:50:59	ga_ls8c_ard_3-0-0_115075_2019-01-29_final
2019-01-29 11:52:35	ga_ls8c_ard_3-0-0_115079_2019-01-29_final
2019-02-09 11:29:38	ga_ls8c_ard_3-0-0_112068_2019-02-09_final
2019-02-11 11:20:03	ga_ls8c_ard_3-0-0_110075_2019-02-11_final
2019-02-11 11:21:39	ga_ls8c_ard_3-0-0_110079_2019-02-11_final
2019-02-14 11:50:57	ga_ls8c_ard_3-0-0_115075_2019-02-14_final
2019-02-14 11:52:33	ga_ls8c_ard_3-0-0_115079_2019-02-14_final
2019-02-16 11:41:23	ga_ls8c_ard_3-0-0_113082_2019-02-16_final
2019-02-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2019-02-18_final
2019-02-25 11:29:34	ga_ls8c_ard_3-0-0_112068_2019-02-25_final
2019-02-27 11:20:00	ga_ls8c_ard_3-0-0_110075_2019-02-27_final
2019-03-02 11:50:53	ga_ls8c_ard_3-0-0_115075_2019-03-02_final
2019-03-02 11:52:29	ga_ls8c_ard_3-0-0_115079_2019-03-02_final
2019-03-04 11:36:55	ga_ls8c_ard_3-0-0_113071_2019-03-04_final
2019-03-06 11:24:56	ga_ls8c_ard_3-0-0_111072_2019-03-06_final
2019-04-21 11:36:40	ga_ls8c_ard_3-0-0_113071_2019-04-21_final
2019-04-21 11:41:03	ga_ls8c_ard_3-0-0_113082_2019-04-21_final
2019-04-23 11:24:41	ga_ls8c_ard_3-0-0_111072_2019-04-23_final
2019-04-28 11:45:13	ga_ls8c_ard_3-0-0_114077_2019-04-28_final
2019-04-30 11:29:41	ga_ls8c_ard_3-0-0_112069_2019-04-30_final
2019-05-02 11:19:44	ga_ls8c_ard_3-0-0_110075_2019-05-02_final
2019-05-05 11:50:40	ga_ls8c_ard_3-0-0_115075_2019-05-05_final
2019-05-05 11:52:15	ga_ls8c_ard_3-0-0_115079_2019-05-05_final
2019-05-07 11:36:44	ga_ls8c_ard_3-0-0_113071_2019-05-07_final
2019-05-09 11:24:47	ga_ls8c_ard_3-0-0_111072_2019-05-09_final
2019-05-16 11:29:27	ga_ls8c_ard_3-0-0_112068_2019-05-16_final
2019-05-16 11:29:51	ga_ls8c_ard_3-0-0_112069_2019-05-16_final
2019-05-18 11:19:54	ga_ls8c_ard_3-0-0_110075_2019-05-18_final
2019-05-18 11:21:30	ga_ls8c_ard_3-0-0_110079_2019-05-18_final
2019-05-21 11:50:50	ga_ls8c_ard_3-0-0_115075_2019-05-21_final
2019-05-21 11:52:26	ga_ls8c_ard_3-0-0_115079_2019-05-21_final
2019-05-23 11:36:54	ga_ls8c_ard_3-0-0_113071_2019-05-23_final
2019-05-25 11:24:57	ga_ls8c_ard_3-0-0_111072_2019-05-25_final
2019-06-01 11:29:36	ga_ls8c_ard_3-0-0_112068_2019-06-01_final
2019-06-06 11:50:58	ga_ls8c_ard_3-0-0_115075_2019-06-06_final
2019-06-06 11:52:34	ga_ls8c_ard_3-0-0_115079_2019-06-06_final
2019-06-06 11:52:58	ga_ls8c_ard_3-0-0_115080_2019-06-06_final
2019-06-08 11:37:02	ga_ls8c_ard_3-0-0_113071_2019-06-08_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