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
2015-01-17 11:05:58	ga_ls8c_ard_3-0-0_108070_2015-01-17_final
2015-01-17 11:06:22	ga_ls8c_ard_3-0-0_108071_2015-01-17_final
2015-01-17 11:06:46	ga_ls8c_ard_3-0-0_108072_2015-01-17_final
2015-01-17 11:07:09	ga_ls8c_ard_3-0-0_108073_2015-01-17_final
2015-01-17 11:07:33	ga_ls8c_ard_3-0-0_108074_2015-01-17_final
2015-01-17 11:07:57	ga_ls8c_ard_3-0-0_108075_2015-01-17_final
2015-01-17 11:08:21	ga_ls8c_ard_3-0-0_108076_2015-01-17_final
2015-01-19 10:57:10	ga_ls8c_ard_3-0-0_106079_2015-01-19_final
2015-01-19 10:57:34	ga_ls8c_ard_3-0-0_106080_2015-01-19_final
2015-01-19 10:57:58	ga_ls8c_ard_3-0-0_106081_2015-01-19_final
2015-01-19 10:58:22	ga_ls8c_ard_3-0-0_106082_2015-01-19_final
2015-01-19 10:58:46	ga_ls8c_ard_3-0-0_106083_2015-01-19_final
2015-02-20 10:56:59	ga_ls8c_ard_3-0-0_106079_2015-02-20_final
2015-02-20 10:57:23	ga_ls8c_ard_3-0-0_106080_2015-02-20_final
2015-02-20 10:57:47	ga_ls8c_ard_3-0-0_106081_2015-02-20_final
2015-02-20 10:58:11	ga_ls8c_ard_3-0-0_106082_2015-02-20_final
2015-02-20 10:58:35	ga_ls8c_ard_3-0-0_106083_2015-02-20_final
2015-02-20 10:58:59	ga_ls8c_ard_3-0-0_106084_2015-02-20_final
2015-03-01 10:52:22	ga_ls8c_ard_3-0-0_105083_2015-03-01_final
2019-07-14 11:10:52	ga_ls8c_ard_3-1-0_109067_2019-07-14_final
2019-07-14 11:11:16	ga_ls8c_ard_3-1-0_109068_2019-07-14_final
2019-07-14 11:11:40	ga_ls8c_ard_3-1-0_109069_2019-07-14_final
2019-07-14 11:12:04	ga_ls8c_ard_3-1-0_109070_2019-07-14_final
2019-07-14 11:12:28	ga_ls8c_ard_3-1-0_109071_2019-07-14_final
2019-07-16 11:01:43	ga_ls8c_ard_3-1-0_107075_2019-07-16_final
2019-07-16 11:02:06	ga_ls8c_ard_3-1-0_107076_2019-07-16_final
2019-07-16 11:02:30	ga_ls8c_ard_3-1-0_107077_2019-07-16_final
2019-07-16 11:02:54	ga_ls8c_ard_3-1-0_107078_2019-07-16_final
2019-07-16 11:03:18	ga_ls8c_ard_3-1-0_107079_2019-07-16_final
2019-07-16 11:03:42	ga_ls8c_ard_3-1-0_107080_2019-07-16_final
2019-07-16 11:04:06	ga_ls8c_ard_3-1-0_107081_2019-07-16_final
2019-07-25 10:57:11	ga_ls8c_ard_3-1-0_106079_2019-07-25_final
2019-07-25 10:57:35	ga_ls8c_ard_3-1-0_106080_2019-07-25_final
2019-07-25 10:57:59	ga_ls8c_ard_3-1-0_106081_2019-07-25_final
2019-07-25 10:58:23	ga_ls8c_ard_3-1-0_106082_2019-07-25_final
2019-07-25 10:58:47	ga_ls8c_ard_3-1-0_106083_2019-07-25_final
2019-07-25 10:59:11	ga_ls8c_ard_3-1-0_106084_2019-07-25_final
2019-08-08 11:06:03	ga_ls8c_ard_3-1-0_108070_2019-08-08_final
2019-08-08 11:06:27	ga_ls8c_ard_3-1-0_108071_2019-08-08_final
2019-08-08 11:06:50	ga_ls8c_ard_3-1-0_108072_2019-08-08_final
2019-08-08 11:07:14	ga_ls8c_ard_3-1-0_108073_2019-08-08_final
2019-08-08 11:07:38	ga_ls8c_ard_3-1-0_108074_2019-08-08_final
2019-08-08 11:08:02	ga_ls8c_ard_3-1-0_108075_2019-08-08_final
2019-08-08 11:08:26	ga_ls8c_ard_3-1-0_108076_2019-08-08_final
2019-08-10 10:57:17	ga_ls8c_ard_3-1-0_106079_2019-08-10_final
2019-08-10 10:57:41	ga_ls8c_ard_3-1-0_106080_2019-08-10_final
2019-08-10 10:58:05	ga_ls8c_ard_3-1-0_106081_2019-08-10_final
2019-08-10 10:58:29	ga_ls8c_ard_3-1-0_106082_2019-08-10_final
2019-08-10 10:58:53	ga_ls8c_ard_3-1-0_106083_2019-08-10_final
2019-08-10 10:59:17	ga_ls8c_ard_3-1-0_106084_2019-08-10_final
2019-10-13 10:57:34	ga_ls8c_ard_3-1-0_106079_2019-10-13_final
2019-10-13 10:57:58	ga_ls8c_ard_3-1-0_106080_2019-10-13_final
2019-10-13 10:58:22	ga_ls8c_ard_3-1-0_106081_2019-10-13_final
2019-10-13 10:58:46	ga_ls8c_ard_3-1-0_106082_2019-10-13_final
2019-10-13 10:59:10	ga_ls8c_ard_3-1-0_106083_2019-10-13_final
2019-10-13 10:59:34	ga_ls8c_ard_3-1-0_106084_2019-10-13_final
2019-11-19 11:11:16	ga_ls8c_ard_3-1-0_109067_2019-11-19_final
2019-11-19 11:11:40	ga_ls8c_ard_3-1-0_109068_2019-11-19_final
2019-11-19 11:12:04	ga_ls8c_ard_3-1-0_109069_2019-11-19_final
2019-11-19 11:12:27	ga_ls8c_ard_3-1-0_109070_2019-11-19_final
2019-11-19 11:12:51	ga_ls8c_ard_3-1-0_109071_2019-11-19_final
2019-11-21 11:02:05	ga_ls8c_ard_3-1-0_107075_2019-11-21_final
2019-11-21 11:02:29	ga_ls8c_ard_3-1-0_107076_2019-11-21_final
2019-11-21 11:02:53	ga_ls8c_ard_3-1-0_107077_2019-11-21_final
2019-11-21 11:03:17	ga_ls8c_ard_3-1-0_107078_2019-11-21_final
2019-11-21 11:03:41	ga_ls8c_ard_3-1-0_107079_2019-11-21_final
2019-11-21 11:04:05	ga_ls8c_ard_3-1-0_107080_2019-11-21_final
2019-11-21 11:04:28	ga_ls8c_ard_3-1-0_107081_2019-11-21_final
2023-03-12 11:06:20	ga_ls8c_ard_3-2-1_108071_2023-03-12_final
2023-03-12 11:06:43	ga_ls8c_ard_3-2-1_108072_2023-03-12_final
2023-03-12 11:07:31	ga_ls8c_ard_3-2-1_108074_2023-03-12_final
2023-03-12 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-03-12_final
2023-03-12 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-03-12_final
2023-03-14 10:57:09	ga_ls8c_ard_3-2-1_106079_2023-03-14_final
2023-03-14 10:57:33	ga_ls8c_ard_3-2-1_106080_2023-03-14_final
2023-03-14 10:57:57	ga_ls8c_ard_3-2-1_106081_2023-03-14_final
2023-03-14 10:58:21	ga_ls8c_ard_3-2-1_106082_2023-03-14_final
2023-03-14 10:58:45	ga_ls8c_ard_3-2-1_106083_2023-03-14_final
2023-03-23 10:52:26	ga_ls8c_ard_3-2-1_105083_2023-03-23_final
2023-03-28 11:05:46	ga_ls8c_ard_3-2-1_108070_2023-03-28_final
2023-03-28 11:06:10	ga_ls8c_ard_3-2-1_108071_2023-03-28_final
2023-03-28 11:06:34	ga_ls8c_ard_3-2-1_108072_2023-03-28_final
2023-03-28 11:06:58	ga_ls8c_ard_3-2-1_108073_2023-03-28_final
2023-03-28 11:07:22	ga_ls8c_ard_3-2-1_108074_2023-03-28_final
2023-03-28 11:07:46	ga_ls8c_ard_3-2-1_108075_2023-03-28_final
2023-03-28 11:08:10	ga_ls8c_ard_3-2-1_108076_2023-03-28_final
2023-03-30 10:56:59	ga_ls8c_ard_3-2-1_106079_2023-03-30_final
2023-03-30 10:57:23	ga_ls8c_ard_3-2-1_106080_2023-03-30_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-03-30 10:58:11	ga_ls8c_ard_3-2-1_106082_2023-03-30_final
2023-03-30 10:58:34	ga_ls8c_ard_3-2-1_106083_2023-03-30_final
2023-04-04 11:11:27	ga_ls8c_ard_3-2-1_109069_2023-04-04_final
2023-04-04 11:11:51	ga_ls8c_ard_3-2-1_109070_2023-04-04_final
2023-04-04 11:12:15	ga_ls8c_ard_3-2-1_109071_2023-04-04_final
2023-04-24 10:52:07	ga_ls8c_ard_3-2-1_105083_2023-04-24_final
2023-09-06 10:57:08	ga_ls8c_ard_3-2-1_106079_2023-09-06_final
2023-09-06 10:57:32	ga_ls8c_ard_3-2-1_106080_2023-09-06_final
2023-09-06 10:57:56	ga_ls8c_ard_3-2-1_106081_2023-09-06_final
2023-09-06 10:58:20	ga_ls8c_ard_3-2-1_106082_2023-09-06_final
2023-09-06 10:58:44	ga_ls8c_ard_3-2-1_106083_2023-09-06_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