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
2015-01-05 10:40:28	ga_ls8c_ard_3-0-0_104068_2015-01-05_final
2015-01-07 10:29:43	ga_ls8c_ard_3-0-0_102072_2015-01-07_final
2015-01-07 10:30:07	ga_ls8c_ard_3-0-0_102073_2015-01-07_final
2015-01-07 10:30:31	ga_ls8c_ard_3-0-0_102074_2015-01-07_final
2015-01-07 10:30:55	ga_ls8c_ard_3-0-0_102075_2015-01-07_final
2015-01-07 10:31:19	ga_ls8c_ard_3-0-0_102076_2015-01-07_final
2015-01-07 10:31:43	ga_ls8c_ard_3-0-0_102077_2015-01-07_final
2015-01-07 10:32:07	ga_ls8c_ard_3-0-0_102078_2015-01-07_final
2015-02-15 10:34:03	ga_ls8c_ard_3-0-0_103068_2015-02-15_final
2015-02-15 10:34:27	ga_ls8c_ard_3-0-0_103069_2015-02-15_final
2015-02-15 10:34:51	ga_ls8c_ard_3-0-0_103070_2015-02-15_final
2015-02-15 10:35:15	ga_ls8c_ard_3-0-0_103071_2015-02-15_final
2015-03-10 10:40:05	ga_ls8c_ard_3-0-0_104068_2015-03-10_final
2015-03-12 10:29:17	ga_ls8c_ard_3-0-0_102072_2015-03-12_final
2015-03-12 10:29:41	ga_ls8c_ard_3-0-0_102073_2015-03-12_final
2015-03-12 10:30:05	ga_ls8c_ard_3-0-0_102074_2015-03-12_final
2015-03-12 10:30:29	ga_ls8c_ard_3-0-0_102075_2015-03-12_final
2015-03-12 10:30:53	ga_ls8c_ard_3-0-0_102076_2015-03-12_final
2015-03-12 10:31:16	ga_ls8c_ard_3-0-0_102077_2015-03-12_final
2015-03-12 10:31:40	ga_ls8c_ard_3-0-0_102078_2015-03-12_final
2015-03-26 10:39:33	ga_ls8c_ard_3-0-0_104067_2015-03-26_final
2015-03-26 10:39:56	ga_ls8c_ard_3-0-0_104068_2015-03-26_final
2015-03-28 10:29:09	ga_ls8c_ard_3-0-0_102072_2015-03-28_final
2015-03-28 10:29:33	ga_ls8c_ard_3-0-0_102073_2015-03-28_final
2015-03-28 10:29:57	ga_ls8c_ard_3-0-0_102074_2015-03-28_final
2015-03-28 10:30:21	ga_ls8c_ard_3-0-0_102075_2015-03-28_final
2015-03-28 10:30:45	ga_ls8c_ard_3-0-0_102076_2015-03-28_final
2015-03-28 10:31:09	ga_ls8c_ard_3-0-0_102077_2015-03-28_final
2015-03-28 10:31:33	ga_ls8c_ard_3-0-0_102078_2015-03-28_final
2015-05-10 10:15:23	ga_ls8c_ard_3-0-0_099085_2015-05-10_final
2016-11-20 10:16:39	ga_ls8c_ard_3-0-0_099085_2016-11-20_final
2016-12-09 10:40:20	ga_ls8c_ard_3-0-0_104067_2016-12-09_final
2016-12-09 10:40:44	ga_ls8c_ard_3-0-0_104068_2016-12-09_final
2017-01-19 10:34:23	ga_ls8c_ard_3-0-0_103068_2017-01-19_final
2017-01-19 10:34:47	ga_ls8c_ard_3-0-0_103069_2017-01-19_final
2017-01-19 10:35:11	ga_ls8c_ard_3-0-0_103070_2017-01-19_final
2017-01-19 10:35:35	ga_ls8c_ard_3-0-0_103071_2017-01-19_final
2017-01-19 10:35:59	ga_ls8c_ard_3-0-0_103072_2017-01-19_final
2017-01-19 10:36:23	ga_ls8c_ard_3-0-0_103073_2017-01-19_final
2017-01-21 10:25:36	ga_ls8c_ard_3-0-0_101077_2017-01-21_final
2017-01-21 10:26:00	ga_ls8c_ard_3-0-0_101078_2017-01-21_final
2017-01-21 10:26:24	ga_ls8c_ard_3-0-0_101079_2017-01-21_final
2017-01-21 10:26:48	ga_ls8c_ard_3-0-0_101080_2017-01-21_final
2017-01-21 10:27:12	ga_ls8c_ard_3-0-0_101081_2017-01-21_final
2017-01-21 10:27:36	ga_ls8c_ard_3-0-0_101082_2017-01-21_final
2017-12-21 10:34:03	ga_ls8c_ard_3-0-0_103067_2017-12-21_final
2017-12-21 10:34:27	ga_ls8c_ard_3-0-0_103068_2017-12-21_final
2017-12-21 10:34:51	ga_ls8c_ard_3-0-0_103069_2017-12-21_final
2017-12-21 10:35:15	ga_ls8c_ard_3-0-0_103070_2017-12-21_final
2017-12-21 10:35:39	ga_ls8c_ard_3-0-0_103071_2017-12-21_final
2017-12-21 10:36:03	ga_ls8c_ard_3-0-0_103072_2017-12-21_final
2017-12-21 10:36:27	ga_ls8c_ard_3-0-0_103073_2017-12-21_final
2017-12-23 10:25:41	ga_ls8c_ard_3-0-0_101077_2017-12-23_final
2017-12-23 10:26:04	ga_ls8c_ard_3-0-0_101078_2017-12-23_final
2017-12-23 10:26:28	ga_ls8c_ard_3-0-0_101079_2017-12-23_final
2017-12-23 10:26:52	ga_ls8c_ard_3-0-0_101080_2017-12-23_final
2017-12-23 10:27:16	ga_ls8c_ard_3-0-0_101081_2017-12-23_final
2017-12-23 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-12-23_final
2018-02-23 10:34:00	ga_ls8c_ard_3-0-0_103068_2018-02-23_final
2018-02-23 10:34:24	ga_ls8c_ard_3-0-0_103069_2018-02-23_final
2018-02-23 10:34:48	ga_ls8c_ard_3-0-0_103070_2018-02-23_final
2018-02-23 10:35:12	ga_ls8c_ard_3-0-0_103071_2018-02-23_final
2018-02-23 10:35:36	ga_ls8c_ard_3-0-0_103072_2018-02-23_final
2018-02-23 10:36:00	ga_ls8c_ard_3-0-0_103073_2018-02-23_final
2018-02-25 10:25:13	ga_ls8c_ard_3-0-0_101077_2018-02-25_final
2018-02-25 10:25:37	ga_ls8c_ard_3-0-0_101078_2018-02-25_final
2018-02-25 10:26:01	ga_ls8c_ard_3-0-0_101079_2018-02-25_final
2018-02-25 10:26:25	ga_ls8c_ard_3-0-0_101080_2018-02-25_final
2018-02-25 10:26:49	ga_ls8c_ard_3-0-0_101081_2018-02-25_final
2018-02-25 10:27:13	ga_ls8c_ard_3-0-0_101082_2018-02-25_final
2018-03-31 10:15:46	ga_ls8c_ard_3-0-0_099085_2018-03-31_final
2018-04-03 10:39:28	ga_ls8c_ard_3-0-0_104067_2018-04-03_final
2018-04-03 10:39:52	ga_ls8c_ard_3-0-0_104068_2018-04-03_final
2018-04-05 10:29:05	ga_ls8c_ard_3-0-0_102072_2018-04-05_final
2018-04-05 10:29:29	ga_ls8c_ard_3-0-0_102073_2018-04-05_final
2018-04-05 10:29:53	ga_ls8c_ard_3-0-0_102074_2018-04-05_final
2018-04-05 10:30:17	ga_ls8c_ard_3-0-0_102075_2018-04-05_final
2018-04-05 10:30:40	ga_ls8c_ard_3-0-0_102076_2018-04-05_final
2018-04-05 10:31:04	ga_ls8c_ard_3-0-0_102077_2018-04-05_final
2018-04-05 10:31:28	ga_ls8c_ard_3-0-0_102078_2018-04-05_final
2018-05-05 10:39:10	ga_ls8c_ard_3-0-0_104067_2018-05-05_final
2018-05-05 10:39:33	ga_ls8c_ard_3-0-0_104068_2018-05-05_final
2018-05-07 10:28:46	ga_ls8c_ard_3-0-0_102072_2018-05-07_final
2018-05-07 10:29:10	ga_ls8c_ard_3-0-0_102073_2018-05-07_final
2018-05-07 10:29:34	ga_ls8c_ard_3-0-0_102074_2018-05-07_final
2018-05-07 10:29:58	ga_ls8c_ard_3-0-0_102075_2018-05-07_final
2018-05-07 10:30:22	ga_ls8c_ard_3-0-0_102076_2018-05-07_final
2018-05-07 10:30:46	ga_ls8c_ard_3-0-0_102077_2018-05-07_final
2018-05-07 10:31:10	ga_ls8c_ard_3-0-0_102078_2018-05-07_final
2018-07-17 10:33:26	ga_ls8c_ard_3-0-0_103068_2018-07-17_final
2018-07-17 10:33:50	ga_ls8c_ard_3-0-0_103069_2018-07-17_final
2018-07-17 10:34:14	ga_ls8c_ard_3-0-0_103070_2018-07-17_final
2018-07-17 10:34:38	ga_ls8c_ard_3-0-0_103071_2018-07-17_final
2018-07-17 10:35:02	ga_ls8c_ard_3-0-0_103072_2018-07-17_final
2018-07-17 10:35:25	ga_ls8c_ard_3-0-0_103073_2018-07-17_final
2018-07-19 10:24:40	ga_ls8c_ard_3-0-0_101077_2018-07-19_final
2018-07-19 10:25:04	ga_ls8c_ard_3-0-0_101078_2018-07-19_final
2018-07-19 10:25:28	ga_ls8c_ard_3-0-0_101079_2018-07-19_final
2018-07-19 10:25:52	ga_ls8c_ard_3-0-0_101080_2018-07-19_final
2018-07-19 10:26:16	ga_ls8c_ard_3-0-0_101081_2018-07-19_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