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
2015-12-29 11:46:21	ga_ls8c_ard_3-0-0_114078_2015-12-29_final
2015-12-29 11:46:45	ga_ls8c_ard_3-0-0_114079_2015-12-29_final
2015-12-29 11:47:09	ga_ls8c_ard_3-0-0_114080_2015-12-29_final
2015-12-29 11:47:32	ga_ls8c_ard_3-0-0_114081_2015-12-29_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
2016-01-05 11:51:41	ga_ls8c_ard_3-0-0_115076_2016-01-05_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-01-05 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-05_final
2016-01-05 11:52:53	ga_ls8c_ard_3-0-0_115079_2016-01-05_final
2016-01-14 11:46:18	ga_ls8c_ard_3-0-0_114078_2016-01-14_final
2016-01-14 11:46:42	ga_ls8c_ard_3-0-0_114079_2016-01-14_final
2016-01-14 11:47:06	ga_ls8c_ard_3-0-0_114080_2016-01-14_final
2016-01-14 11:47:30	ga_ls8c_ard_3-0-0_114081_2016-01-14_final
2016-01-30 11:46:17	ga_ls8c_ard_3-0-0_114078_2016-01-30_final
2016-01-30 11:46:41	ga_ls8c_ard_3-0-0_114079_2016-01-30_final
2016-01-30 11:47:05	ga_ls8c_ard_3-0-0_114080_2016-01-30_final
2016-01-30 11:47:29	ga_ls8c_ard_3-0-0_114081_2016-01-30_final
2016-02-15 11:46:09	ga_ls8c_ard_3-0-0_114078_2016-02-15_final
2016-02-15 11:46:33	ga_ls8c_ard_3-0-0_114079_2016-02-15_final
2016-02-15 11:46:57	ga_ls8c_ard_3-0-0_114080_2016-02-15_final
2016-02-15 11:47:21	ga_ls8c_ard_3-0-0_114081_2016-02-15_final
2016-02-22 11:50:18	ga_ls8c_ard_3-0-0_115073_2016-02-22_final
2016-02-22 11:50:42	ga_ls8c_ard_3-0-0_115074_2016-02-22_final
2016-02-22 11:51:06	ga_ls8c_ard_3-0-0_115075_2016-02-22_final
2016-02-22 11:51:30	ga_ls8c_ard_3-0-0_115076_2016-02-22_final
2016-02-22 11:51:54	ga_ls8c_ard_3-0-0_115077_2016-02-22_final
2016-02-22 11:52:18	ga_ls8c_ard_3-0-0_115078_2016-02-22_final
2016-02-22 11:52:42	ga_ls8c_ard_3-0-0_115079_2016-02-22_final
2016-02-24 11:41:32	ga_ls8c_ard_3-0-0_113082_2016-02-24_final
2016-02-24 11:41:56	ga_ls8c_ard_3-0-0_113083_2016-02-24_final
2016-02-24 11:42:20	ga_ls8c_ard_3-0-0_113084_2016-02-24_final
2016-03-18 11:46:02	ga_ls8c_ard_3-0-0_114078_2016-03-18_final
2016-03-18 11:46:26	ga_ls8c_ard_3-0-0_114079_2016-03-18_final
2016-03-18 11:46:50	ga_ls8c_ard_3-0-0_114080_2016-03-18_final
2016-03-18 11:47:14	ga_ls8c_ard_3-0-0_114081_2016-03-18_final
2016-03-20 11:36:27	ga_ls8c_ard_3-0-0_112085_2016-03-20_final
2016-04-03 11:45:52	ga_ls8c_ard_3-0-0_114078_2016-04-03_final
2016-04-03 11:46:16	ga_ls8c_ard_3-0-0_114079_2016-04-03_final
2016-04-03 11:46:40	ga_ls8c_ard_3-0-0_114080_2016-04-03_final
2016-04-03 11:47:04	ga_ls8c_ard_3-0-0_114081_2016-04-03_final
2016-04-10 11:50:01	ga_ls8c_ard_3-0-0_115073_2016-04-10_final
2016-04-10 11:50:25	ga_ls8c_ard_3-0-0_115074_2016-04-10_final
2016-04-10 11:50:49	ga_ls8c_ard_3-0-0_115075_2016-04-10_final
2016-04-10 11:51:13	ga_ls8c_ard_3-0-0_115076_2016-04-10_final
2016-04-10 11:51:37	ga_ls8c_ard_3-0-0_115077_2016-04-10_final
2016-04-10 11:52:01	ga_ls8c_ard_3-0-0_115078_2016-04-10_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-04-12 11:41:15	ga_ls8c_ard_3-0-0_113082_2016-04-12_final
2016-04-12 11:41:39	ga_ls8c_ard_3-0-0_113083_2016-04-12_final
2016-04-12 11:42:03	ga_ls8c_ard_3-0-0_113084_2016-04-12_final
2016-04-19 11:45:47	ga_ls8c_ard_3-0-0_114078_2016-04-19_final
2016-04-19 11:46:11	ga_ls8c_ard_3-0-0_114079_2016-04-19_final
2016-04-19 11:46:35	ga_ls8c_ard_3-0-0_114080_2016-04-19_final
2016-04-19 11:46:58	ga_ls8c_ard_3-0-0_114081_2016-04-19_final
2016-04-26 11:49:56	ga_ls8c_ard_3-0-0_115073_2016-04-26_final
2016-04-26 11:50:20	ga_ls8c_ard_3-0-0_115074_2016-04-26_final
2016-04-26 11:50:44	ga_ls8c_ard_3-0-0_115075_2016-04-26_final
2016-04-26 11:51:08	ga_ls8c_ard_3-0-0_115076_2016-04-26_final
2016-04-26 11:51:32	ga_ls8c_ard_3-0-0_115077_2016-04-26_final
2016-04-26 11:51:56	ga_ls8c_ard_3-0-0_115078_2016-04-26_final
2016-04-26 11:52:20	ga_ls8c_ard_3-0-0_115079_2016-04-26_final
2016-04-28 11:41:12	ga_ls8c_ard_3-0-0_113082_2016-04-28_final
2016-04-28 11:41:36	ga_ls8c_ard_3-0-0_113083_2016-04-28_final
2016-04-28 11:42:00	ga_ls8c_ard_3-0-0_113084_2016-04-28_final
2019-04-26 11:56:22	ga_ls8c_ard_3-0-0_116074_2019-04-26_final
2019-06-01 11:36:23	ga_ls8c_ard_3-0-0_112085_2019-06-01_final
2021-10-26 11:46:15	ga_ls8c_ard_3-2-0_114077_2021-10-26_final
2021-10-26 11:46:39	ga_ls8c_ard_3-2-0_114078_2021-10-26_final
2021-10-26 11:47:03	ga_ls8c_ard_3-2-0_114079_2021-10-26_final
2021-10-26 11:47:27	ga_ls8c_ard_3-2-0_114080_2021-10-26_final
2021-10-26 11:47:51	ga_ls8c_ard_3-2-0_114081_2021-10-26_final
2021-12-20 11:51:08	ga_ls8c_ard_3-2-1_115074_2021-12-20_final
2021-12-20 11:51:32	ga_ls8c_ard_3-2-1_115075_2021-12-20_final
2021-12-20 11:51:56	ga_ls8c_ard_3-2-1_115076_2021-12-20_final
2021-12-20 11:52:20	ga_ls8c_ard_3-2-1_115077_2021-12-20_final
2021-12-20 11:52:44	ga_ls8c_ard_3-2-1_115078_2021-12-20_final
2021-12-20 11:53:08	ga_ls8c_ard_3-2-1_115079_2021-12-20_final
2021-12-22 11:41:57	ga_ls8c_ard_3-2-1_113082_2021-12-22_final
2021-12-22 11:42:21	ga_ls8c_ard_3-2-1_113083_2021-12-22_final
2021-12-29 11:46:29	ga_ls8c_ard_3-2-1_114078_2021-12-29_final
2021-12-29 11:46:53	ga_ls8c_ard_3-2-1_114079_2021-12-29_final
2021-12-29 11:47:17	ga_ls8c_ard_3-2-1_114080_2021-12-29_final
2021-12-29 11:47:41	ga_ls8c_ard_3-2-1_114081_2021-12-29_final
2022-01-21 11:51:00	ga_ls8c_ard_3-2-1_115074_2022-01-21_final
2022-01-21 11:51:24	ga_ls8c_ard_3-2-1_115075_2022-01-21_final
2022-01-21 11:51:48	ga_ls8c_ard_3-2-1_115076_2022-01-21_final
2022-01-21 11:52:12	ga_ls8c_ard_3-2-1_115077_2022-01-21_final
2022-01-21 11:52:35	ga_ls8c_ard_3-2-1_115078_2022-01-21_final
2022-01-21 11:52:59	ga_ls8c_ard_3-2-1_115079_2022-01-21_final
2022-01-23 11:41:49	ga_ls8c_ard_3-2-1_113082_2022-01-23_final
2022-01-23 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-01-23_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-01-30 11:46:22	ga_ls8c_ard_3-2-1_114078_2022-01-30_final
2022-01-30 11:46:46	ga_ls8c_ard_3-2-1_114079_2022-01-30_final
2022-01-30 11:47:09	ga_ls8c_ard_3-2-1_114080_2022-01-30_final
2022-01-30 11:47:33	ga_ls8c_ard_3-2-1_114081_2022-01-30_final
2022-08-01 11:51:14	ga_ls8c_ard_3-2-1_115074_2022-08-01_final
2022-08-01 11:52:02	ga_ls8c_ard_3-2-1_115076_2022-08-01_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