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
2015-01-31 11:21:03	ga_ls8c_ard_3-0-0_110077_2015-01-31_final
2015-01-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2015-01-31_final
2015-01-31 11:21:51	ga_ls8c_ard_3-0-0_110079_2015-01-31_final
2015-01-31 11:22:15	ga_ls8c_ard_3-0-0_110080_2015-01-31_final
2015-01-31 11:22:39	ga_ls8c_ard_3-0-0_110081_2015-01-31_final
2015-01-31 11:23:03	ga_ls8c_ard_3-0-0_110082_2015-01-31_final
2015-02-21 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-02-21_final
2015-02-23 11:25:06	ga_ls8c_ard_3-0-0_111072_2015-02-23_final
2015-02-23 11:25:30	ga_ls8c_ard_3-0-0_111073_2015-02-23_final
2015-02-23 11:25:53	ga_ls8c_ard_3-0-0_111074_2015-02-23_final
2015-02-23 11:26:17	ga_ls8c_ard_3-0-0_111075_2015-02-23_final
2015-02-23 11:26:41	ga_ls8c_ard_3-0-0_111076_2015-02-23_final
2015-02-23 11:27:05	ga_ls8c_ard_3-0-0_111077_2015-02-23_final
2015-02-23 11:27:29	ga_ls8c_ard_3-0-0_111078_2015-02-23_final
2015-04-10 11:35:01	ga_ls8c_ard_3-0-0_113067_2015-04-10_final
2015-04-12 11:24:40	ga_ls8c_ard_3-0-0_111072_2015-04-12_final
2015-04-12 11:25:04	ga_ls8c_ard_3-0-0_111073_2015-04-12_final
2015-04-12 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-04-12_final
2015-04-12 11:25:52	ga_ls8c_ard_3-0-0_111075_2015-04-12_final
2015-04-12 11:26:16	ga_ls8c_ard_3-0-0_111076_2015-04-12_final
2015-04-12 11:26:40	ga_ls8c_ard_3-0-0_111077_2015-04-12_final
2015-04-12 11:27:04	ga_ls8c_ard_3-0-0_111078_2015-04-12_final
2015-04-23 11:10:53	ga_ls8c_ard_3-0-0_108084_2015-04-23_final
2015-05-12 11:34:42	ga_ls8c_ard_3-0-0_113067_2015-05-12_final
2015-05-14 11:24:18	ga_ls8c_ard_3-0-0_111072_2015-05-14_final
2015-05-14 11:24:42	ga_ls8c_ard_3-0-0_111073_2015-05-14_final
2015-05-14 11:25:06	ga_ls8c_ard_3-0-0_111074_2015-05-14_final
2015-05-14 11:25:30	ga_ls8c_ard_3-0-0_111075_2015-05-14_final
2015-05-14 11:25:54	ga_ls8c_ard_3-0-0_111076_2015-05-14_final
2015-05-14 11:26:18	ga_ls8c_ard_3-0-0_111077_2015-05-14_final
2015-05-14 11:26:41	ga_ls8c_ard_3-0-0_111078_2015-05-14_final
2017-03-18 11:16:12	ga_ls8c_ard_3-0-0_109081_2017-03-18_final
2017-03-18 11:16:36	ga_ls8c_ard_3-0-0_109082_2017-03-18_final
2017-03-18 11:17:00	ga_ls8c_ard_3-0-0_109083_2017-03-18_final
2017-03-18 11:17:24	ga_ls8c_ard_3-0-0_109084_2017-03-18_final
2017-03-18 11:17:48	ga_ls8c_ard_3-0-0_109085_2017-03-18_final
2017-06-22 11:16:16	ga_ls8c_ard_3-0-0_109081_2017-06-22_final
2017-06-22 11:16:39	ga_ls8c_ard_3-0-0_109082_2017-06-22_final
2017-06-22 11:17:03	ga_ls8c_ard_3-0-0_109083_2017-06-22_final
2017-06-22 11:17:27	ga_ls8c_ard_3-0-0_109084_2017-06-22_final
2017-06-22 11:17:51	ga_ls8c_ard_3-0-0_109085_2017-06-22_final
2017-07-31 11:21:03	ga_ls8c_ard_3-0-0_110077_2017-07-31_final
2017-07-31 11:21:27	ga_ls8c_ard_3-0-0_110078_2017-07-31_final
2017-07-31 11:21:51	ga_ls8c_ard_3-0-0_110079_2017-07-31_final
2017-07-31 11:22:15	ga_ls8c_ard_3-0-0_110080_2017-07-31_final
2017-07-31 11:22:39	ga_ls8c_ard_3-0-0_110081_2017-07-31_final
2017-07-31 11:23:03	ga_ls8c_ard_3-0-0_110082_2017-07-31_final
2017-08-02 11:11:54	ga_ls8c_ard_3-0-0_108085_2017-08-02_final
2021-01-01 11:12:13	ga_ls8c_ard_3-2-0_108085_2021-01-01_final
2021-01-04 11:35:55	ga_ls8c_ard_3-2-0_113067_2021-01-04_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-06 11:26:20	ga_ls8c_ard_3-2-0_111074_2021-01-06_final
2021-01-06 11:26:44	ga_ls8c_ard_3-2-0_111075_2021-01-06_final
2021-01-06 11:27:08	ga_ls8c_ard_3-2-0_111076_2021-01-06_final
2021-01-06 11:27:32	ga_ls8c_ard_3-2-0_111077_2021-01-06_final
2021-01-06 11:27:56	ga_ls8c_ard_3-2-0_111078_2021-01-06_final
2021-01-29 11:29:37	ga_ls8c_ard_3-2-0_112067_2021-01-29_final
2021-01-29 11:30:00	ga_ls8c_ard_3-2-0_112068_2021-01-29_final
2021-01-29 11:30:24	ga_ls8c_ard_3-2-0_112069_2021-01-29_final
2021-01-29 11:30:48	ga_ls8c_ard_3-2-0_112070_2021-01-29_final
2021-01-29 11:31:12	ga_ls8c_ard_3-2-0_112071_2021-01-29_final
2021-01-29 11:31:36	ga_ls8c_ard_3-2-0_112072_2021-01-29_final
2021-01-29 11:32:00	ga_ls8c_ard_3-2-0_112073_2021-01-29_final
2021-01-31 11:21:14	ga_ls8c_ard_3-2-0_110077_2021-01-31_final
2021-01-31 11:21:38	ga_ls8c_ard_3-2-0_110078_2021-01-31_final
2021-01-31 11:22:02	ga_ls8c_ard_3-2-0_110079_2021-01-31_final
2021-01-31 11:22:26	ga_ls8c_ard_3-2-0_110080_2021-01-31_final
2021-01-31 11:22:50	ga_ls8c_ard_3-2-0_110081_2021-01-31_final
2021-01-31 11:23:14	ga_ls8c_ard_3-2-0_110082_2021-01-31_final
2021-02-02 11:12:04	ga_ls8c_ard_3-2-0_108085_2021-02-02_final
2021-03-29 11:16:18	ga_ls8c_ard_3-2-0_109081_2021-03-29_final
2021-03-29 11:16:42	ga_ls8c_ard_3-2-0_109082_2021-03-29_final
2021-03-29 11:17:06	ga_ls8c_ard_3-2-0_109083_2021-03-29_final
2021-08-20 11:16:41	ga_ls8c_ard_3-2-0_109081_2021-08-20_final
2021-08-20 11:17:05	ga_ls8c_ard_3-2-0_109082_2021-08-20_final
2021-08-20 11:17:29	ga_ls8c_ard_3-2-0_109083_2021-08-20_final
2021-08-20 11:17:53	ga_ls8c_ard_3-2-0_109084_2021-08-20_final
2021-08-20 11:18:17	ga_ls8c_ard_3-2-0_109085_2021-08-20_final
2021-08-25 11:29:40	ga_ls8c_ard_3-2-0_112067_2021-08-25_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-08-25 11:30:28	ga_ls8c_ard_3-2-0_112069_2021-08-25_final
2021-08-25 11:30:52	ga_ls8c_ard_3-2-0_112070_2021-08-25_final
2021-08-25 11:31:15	ga_ls8c_ard_3-2-0_112071_2021-08-25_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-11-13 11:29:50	ga_ls8c_ard_3-2-0_112067_2021-11-13_final
2021-11-13 11:30:14	ga_ls8c_ard_3-2-0_112068_2021-11-13_final
2021-11-13 11:30:38	ga_ls8c_ard_3-2-0_112069_2021-11-13_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2021-11-13 11:31:26	ga_ls8c_ard_3-2-0_112071_2021-11-13_final
2021-11-13 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-13_final
2021-11-13 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-13_final
2021-11-15 11:21:27	ga_ls8c_ard_3-2-0_110077_2021-11-15_final
2021-11-15 11:21:51	ga_ls8c_ard_3-2-0_110078_2021-11-15_final
2021-11-15 11:22:15	ga_ls8c_ard_3-2-0_110079_2021-11-15_final
2021-11-15 11:22:39	ga_ls8c_ard_3-2-0_110080_2021-11-15_final
2021-11-15 11:23:03	ga_ls8c_ard_3-2-0_110081_2021-11-15_final
2021-11-15 11:23:27	ga_ls8c_ard_3-2-0_110082_2021-11-15_final
2021-11-17 11:12:16	ga_ls8c_ard_3-2-0_108085_2021-11-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years