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
2015-02-25 11:15:55	ga_ls8c_ard_3-0-0_109080_2015-02-25_final
2015-02-25 11:16:19	ga_ls8c_ard_3-0-0_109081_2015-02-25_final
2015-02-25 11:16:43	ga_ls8c_ard_3-0-0_109082_2015-02-25_final
2015-02-25 11:17:07	ga_ls8c_ard_3-0-0_109083_2015-02-25_final
2015-02-25 11:17:31	ga_ls8c_ard_3-0-0_109084_2015-02-25_final
2015-02-25 11:17:55	ga_ls8c_ard_3-0-0_109085_2015-02-25_final
2015-06-01 11:15:14	ga_ls8c_ard_3-0-0_109080_2015-06-01_final
2015-06-01 11:15:38	ga_ls8c_ard_3-0-0_109081_2015-06-01_final
2015-06-01 11:16:02	ga_ls8c_ard_3-0-0_109082_2015-06-01_final
2015-06-01 11:16:26	ga_ls8c_ard_3-0-0_109083_2015-06-01_final
2015-06-01 11:16:50	ga_ls8c_ard_3-0-0_109084_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_final
2015-06-17 11:15:25	ga_ls8c_ard_3-0-0_109080_2015-06-17_final
2015-06-17 11:15:49	ga_ls8c_ard_3-0-0_109081_2015-06-17_final
2015-06-17 11:16:13	ga_ls8c_ard_3-0-0_109082_2015-06-17_final
2015-06-17 11:16:37	ga_ls8c_ard_3-0-0_109083_2015-06-17_final
2015-06-17 11:17:01	ga_ls8c_ard_3-0-0_109084_2015-06-17_final
2015-06-17 11:17:25	ga_ls8c_ard_3-0-0_109085_2015-06-17_final
2016-06-03 11:15:47	ga_ls8c_ard_3-0-0_109080_2016-06-03_final
2016-06-03 11:16:11	ga_ls8c_ard_3-0-0_109081_2016-06-03_final
2016-06-03 11:16:35	ga_ls8c_ard_3-0-0_109082_2016-06-03_final
2016-06-03 11:16:59	ga_ls8c_ard_3-0-0_109083_2016-06-03_final
2016-06-03 11:17:23	ga_ls8c_ard_3-0-0_109084_2016-06-03_final
2016-06-03 11:17:47	ga_ls8c_ard_3-0-0_109085_2016-06-03_final
2016-07-17 11:35:37	ga_ls8c_ard_3-0-0_113067_2016-07-17_final
2016-09-19 11:35:53	ga_ls8c_ard_3-0-0_113067_2016-09-19_final
2016-09-21 11:25:07	ga_ls8c_ard_3-0-0_111071_2016-09-21_final
2016-09-21 11:25:31	ga_ls8c_ard_3-0-0_111072_2016-09-21_final
2016-09-21 11:25:55	ga_ls8c_ard_3-0-0_111073_2016-09-21_final
2016-09-21 11:26:19	ga_ls8c_ard_3-0-0_111074_2016-09-21_final
2016-09-21 11:26:43	ga_ls8c_ard_3-0-0_111075_2016-09-21_final
2016-09-21 11:27:07	ga_ls8c_ard_3-0-0_111076_2016-09-21_final
2016-09-21 11:27:31	ga_ls8c_ard_3-0-0_111077_2016-09-21_final
2018-02-13 11:35:28	ga_ls8c_ard_3-0-0_113067_2018-02-13_final
2018-02-15 11:24:42	ga_ls8c_ard_3-0-0_111071_2018-02-15_final
2018-02-15 11:25:06	ga_ls8c_ard_3-0-0_111072_2018-02-15_final
2018-02-15 11:25:30	ga_ls8c_ard_3-0-0_111073_2018-02-15_final
2018-02-15 11:25:54	ga_ls8c_ard_3-0-0_111074_2018-02-15_final
2018-02-15 11:26:17	ga_ls8c_ard_3-0-0_111075_2018-02-15_final
2018-02-15 11:26:41	ga_ls8c_ard_3-0-0_111076_2018-02-15_final
2018-02-15 11:27:05	ga_ls8c_ard_3-0-0_111077_2018-02-15_final
2018-02-17 11:15:55	ga_ls8c_ard_3-0-0_109080_2018-02-17_final
2018-02-17 11:16:19	ga_ls8c_ard_3-0-0_109081_2018-02-17_final
2018-02-17 11:16:43	ga_ls8c_ard_3-0-0_109082_2018-02-17_final
2018-02-17 11:17:07	ga_ls8c_ard_3-0-0_109083_2018-02-17_final
2018-02-17 11:17:31	ga_ls8c_ard_3-0-0_109084_2018-02-17_final
2018-02-17 11:17:55	ga_ls8c_ard_3-0-0_109085_2018-02-17_final
2018-04-02 11:35:06	ga_ls8c_ard_3-0-0_113067_2018-04-02_final
2018-04-18 11:34:56	ga_ls8c_ard_3-0-0_113067_2018-04-18_final
2018-05-06 11:24:00	ga_ls8c_ard_3-0-0_111071_2018-05-06_final
2018-05-06 11:24:24	ga_ls8c_ard_3-0-0_111072_2018-05-06_final
2018-05-06 11:24:48	ga_ls8c_ard_3-0-0_111073_2018-05-06_final
2018-05-06 11:25:12	ga_ls8c_ard_3-0-0_111074_2018-05-06_final
2018-05-06 11:25:36	ga_ls8c_ard_3-0-0_111075_2018-05-06_final
2018-05-06 11:26:00	ga_ls8c_ard_3-0-0_111076_2018-05-06_final
2018-05-06 11:26:24	ga_ls8c_ard_3-0-0_111077_2018-05-06_final
2020-01-02 11:35:52	ga_ls8c_ard_3-1-0_113067_2020-01-02_final
2020-01-22 11:16:16	ga_ls8c_ard_3-1-0_109080_2020-01-22_final
2020-01-22 11:16:40	ga_ls8c_ard_3-1-0_109081_2020-01-22_final
2020-01-22 11:17:04	ga_ls8c_ard_3-1-0_109082_2020-01-22_final
2020-01-22 11:17:28	ga_ls8c_ard_3-1-0_109083_2020-01-22_final
2020-01-22 11:17:52	ga_ls8c_ard_3-1-0_109084_2020-01-22_final
2020-01-22 11:18:16	ga_ls8c_ard_3-1-0_109085_2020-01-22_final
2020-02-03 11:35:44	ga_ls8c_ard_3-1-0_113067_2020-02-03_final
2020-03-19 11:11:22	ga_ls8c_ard_3-1-0_108084_2020-03-19_final
2020-03-19 11:11:45	ga_ls8c_ard_3-1-0_108085_2020-03-19_final
2020-03-26 11:15:53	ga_ls8c_ard_3-1-0_109080_2020-03-26_final
2020-03-26 11:16:17	ga_ls8c_ard_3-1-0_109081_2020-03-26_final
2020-03-26 11:16:40	ga_ls8c_ard_3-1-0_109082_2020-03-26_final
2020-03-26 11:17:04	ga_ls8c_ard_3-1-0_109083_2020-03-26_final
2020-03-26 11:17:28	ga_ls8c_ard_3-1-0_109084_2020-03-26_final
2020-03-26 11:17:52	ga_ls8c_ard_3-1-0_109085_2020-03-26_final
2020-04-16 11:29:04	ga_ls8c_ard_3-1-0_112067_2020-04-16_final
2020-04-16 11:29:28	ga_ls8c_ard_3-1-0_112068_2020-04-16_final
2020-04-16 11:29:52	ga_ls8c_ard_3-1-0_112069_2020-04-16_final
2020-04-16 11:30:16	ga_ls8c_ard_3-1-0_112070_2020-04-16_final
2020-04-16 11:30:40	ga_ls8c_ard_3-1-0_112071_2020-04-16_final
2020-04-16 11:31:04	ga_ls8c_ard_3-1-0_112072_2020-04-16_final
2020-05-22 11:10:59	ga_ls8c_ard_3-1-0_108084_2020-05-22_final
2020-05-22 11:11:23	ga_ls8c_ard_3-1-0_108085_2020-05-22_final
2020-09-23 11:29:45	ga_ls8c_ard_3-1-0_112067_2020-09-23_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-09-23 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-09-23_final
2020-09-23 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-09-23_final
2020-09-23 11:31:21	ga_ls8c_ard_3-1-0_112071_2020-09-23_final
2020-09-23 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-09-23_final
2020-09-25 11:20:36	ga_ls8c_ard_3-1-0_110075_2020-09-25_final
2020-09-25 11:21:00	ga_ls8c_ard_3-1-0_110076_2020-09-25_final
2020-09-25 11:21:24	ga_ls8c_ard_3-1-0_110077_2020-09-25_final
2020-09-25 11:21:48	ga_ls8c_ard_3-1-0_110078_2020-09-25_final
2020-09-25 11:22:12	ga_ls8c_ard_3-1-0_110079_2020-09-25_final
2020-09-25 11:22:35	ga_ls8c_ard_3-1-0_110080_2020-09-25_final
2020-09-25 11:22:59	ga_ls8c_ard_3-1-0_110081_2020-09-25_final
2020-09-27 11:11:50	ga_ls8c_ard_3-1-0_108084_2020-09-27_final
2020-09-27 11:12:14	ga_ls8c_ard_3-1-0_108085_2020-09-27_final
2020-10-27 11:21:02	ga_ls8c_ard_3-1-0_110076_2020-10-27_final
2020-10-27 11:21:26	ga_ls8c_ard_3-1-0_110077_2020-10-27_final
2020-10-27 11:21:50	ga_ls8c_ard_3-1-0_110078_2020-10-27_final
2020-10-27 11:22:14	ga_ls8c_ard_3-1-0_110079_2020-10-27_final
2020-10-27 11:22:38	ga_ls8c_ard_3-1-0_110080_2020-10-27_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