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
2013-05-22 11:40:05	ga_ls8c_ard_3-0-0_113073_2013-05-22_final
2013-05-22 11:40:29	ga_ls8c_ard_3-0-0_113074_2013-05-22_final
2013-05-22 11:40:53	ga_ls8c_ard_3-0-0_113075_2013-05-22_final
2013-05-22 11:41:17	ga_ls8c_ard_3-0-0_113076_2013-05-22_final
2013-05-22 11:41:41	ga_ls8c_ard_3-0-0_113077_2013-05-22_final
2013-05-22 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-05-22_final
2013-05-22 11:42:29	ga_ls8c_ard_3-0-0_113079_2013-05-22_final
2013-05-24 11:31:19	ga_ls8c_ard_3-0-0_111082_2013-05-24_final
2013-05-24 11:31:43	ga_ls8c_ard_3-0-0_111083_2013-05-24_final
2013-08-10 11:40:03	ga_ls8c_ard_3-0-0_113073_2013-08-10_final
2013-08-10 11:40:27	ga_ls8c_ard_3-0-0_113074_2013-08-10_final
2013-08-10 11:40:51	ga_ls8c_ard_3-0-0_113075_2013-08-10_final
2013-08-10 11:41:15	ga_ls8c_ard_3-0-0_113076_2013-08-10_final
2013-08-10 11:41:39	ga_ls8c_ard_3-0-0_113077_2013-08-10_final
2013-08-10 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-08-10_final
2013-08-10 11:42:27	ga_ls8c_ard_3-0-0_113079_2013-08-10_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2013-08-12 11:31:41	ga_ls8c_ard_3-0-0_111083_2013-08-12_final
2013-08-12 11:32:05	ga_ls8c_ard_3-0-0_111084_2013-08-12_final
2017-04-08 11:33:23	ga_ls8c_ard_3-0-0_112078_2017-04-08_final
2017-04-08 11:33:47	ga_ls8c_ard_3-0-0_112079_2017-04-08_final
2017-04-08 11:34:11	ga_ls8c_ard_3-0-0_112080_2017-04-08_final
2017-04-08 11:34:35	ga_ls8c_ard_3-0-0_112081_2017-04-08_final
2017-04-08 11:34:59	ga_ls8c_ard_3-0-0_112082_2017-04-08_final
2017-04-08 11:35:23	ga_ls8c_ard_3-0-0_112083_2017-04-08_final
2017-04-10 11:23:48	ga_ls8c_ard_3-0-0_110085_2017-04-10_final
2017-04-15 11:37:30	ga_ls8c_ard_3-1-0_113073_2017-04-15_final
2017-04-15 11:37:54	ga_ls8c_ard_3-0-0_113074_2017-04-15_final
2017-04-15 11:38:18	ga_ls8c_ard_3-0-0_113075_2017-04-15_final
2017-04-15 11:38:42	ga_ls8c_ard_3-0-0_113076_2017-04-15_final
2017-04-15 11:39:06	ga_ls8c_ard_3-0-0_113077_2017-04-15_final
2017-04-15 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-04-15_final
2017-04-15 11:39:54	ga_ls8c_ard_3-0-0_113079_2017-04-15_final
2017-05-01 11:37:20	ga_ls8c_ard_3-0-0_113073_2017-05-01_final
2017-05-01 11:37:44	ga_ls8c_ard_3-0-0_113074_2017-05-01_final
2017-05-01 11:38:08	ga_ls8c_ard_3-0-0_113075_2017-05-01_final
2017-05-01 11:38:32	ga_ls8c_ard_3-0-0_113076_2017-05-01_final
2017-05-01 11:38:56	ga_ls8c_ard_3-0-0_113077_2017-05-01_final
2017-05-01 11:39:19	ga_ls8c_ard_3-0-0_113078_2017-05-01_final
2017-05-01 11:39:43	ga_ls8c_ard_3-0-0_113079_2017-05-01_final
2017-05-10 11:33:14	ga_ls8c_ard_3-0-0_112078_2017-05-10_final
2017-05-10 11:33:38	ga_ls8c_ard_3-0-0_112079_2017-05-10_final
2017-05-10 11:34:02	ga_ls8c_ard_3-0-0_112080_2017-05-10_final
2017-05-10 11:34:26	ga_ls8c_ard_3-0-0_112081_2017-05-10_final
2017-05-10 11:34:50	ga_ls8c_ard_3-0-0_112082_2017-05-10_final
2017-05-10 11:35:13	ga_ls8c_ard_3-0-0_112083_2017-05-10_final
2017-05-12 11:23:41	ga_ls8c_ard_3-0-0_110085_2017-05-12_final
2018-10-02 11:44:22	ga_ls8c_ard_3-0-0_114074_2018-10-02_final
2018-10-18 11:44:29	ga_ls8c_ard_3-0-0_114074_2018-10-18_final
2018-10-27 11:37:57	ga_ls8c_ard_3-1-0_113073_2018-10-27_final
2018-10-27 11:38:21	ga_ls8c_ard_3-0-0_113074_2018-10-27_final
2018-10-27 11:38:45	ga_ls8c_ard_3-0-0_113075_2018-10-27_final
2018-10-27 11:39:08	ga_ls8c_ard_3-0-0_113076_2018-10-27_final
2018-10-27 11:39:32	ga_ls8c_ard_3-0-0_113077_2018-10-27_final
2018-10-27 11:39:56	ga_ls8c_ard_3-0-0_113078_2018-10-27_final
2018-10-27 11:40:20	ga_ls8c_ard_3-0-0_113079_2018-10-27_final
2018-12-05 11:44:32	ga_ls8c_ard_3-0-0_114074_2018-12-05_final
2018-12-21 11:44:30	ga_ls8c_ard_3-0-0_114074_2018-12-21_final
2018-12-30 11:37:55	ga_ls8c_ard_3-1-0_113073_2018-12-30_final
2018-12-30 11:38:19	ga_ls8c_ard_3-0-0_113074_2018-12-30_final
2018-12-30 11:38:43	ga_ls8c_ard_3-0-0_113075_2018-12-30_final
2018-12-30 11:39:07	ga_ls8c_ard_3-0-0_113076_2018-12-30_final
2018-12-30 11:39:31	ga_ls8c_ard_3-0-0_113077_2018-12-30_final
2018-12-30 11:39:55	ga_ls8c_ard_3-0-0_113078_2018-12-30_final
2018-12-30 11:40:19	ga_ls8c_ard_3-0-0_113079_2018-12-30_final
2023-04-16 11:37:35	ga_ls8c_ard_3-2-1_113073_2023-04-16_final
2023-04-16 11:37:59	ga_ls8c_ard_3-2-1_113074_2023-04-16_final
2023-04-16 11:38:23	ga_ls8c_ard_3-2-1_113075_2023-04-16_final
2023-04-16 11:38:47	ga_ls8c_ard_3-2-1_113076_2023-04-16_final
2023-04-16 11:39:11	ga_ls8c_ard_3-2-1_113077_2023-04-16_final
2023-04-16 11:39:35	ga_ls8c_ard_3-2-1_113078_2023-04-16_final
2023-05-02 11:37:31	ga_ls8c_ard_3-2-1_113073_2023-05-02_final
2023-05-02 11:37:55	ga_ls8c_ard_3-2-1_113074_2023-05-02_final
2023-05-02 11:38:19	ga_ls8c_ard_3-2-1_113075_2023-05-02_final
2023-05-02 11:38:42	ga_ls8c_ard_3-2-1_113076_2023-05-02_final
2023-05-02 11:39:06	ga_ls8c_ard_3-2-1_113077_2023-05-02_final
2023-05-02 11:39:30	ga_ls8c_ard_3-2-1_113078_2023-05-02_final
2023-05-02 11:39:54	ga_ls8c_ard_3-2-1_113079_2023-05-02_final
2023-05-04 11:28:43	ga_ls8c_ard_3-2-1_111082_2023-05-04_final
2023-05-04 11:29:07	ga_ls8c_ard_3-2-1_111083_2023-05-04_final
2023-05-04 11:29:31	ga_ls8c_ard_3-2-1_111084_2023-05-04_final
2023-08-08 11:29:32	ga_ls8c_ard_3-2-1_111083_2023-08-08_final
2023-08-08 11:29:56	ga_ls8c_ard_3-2-1_111084_2023-08-08_final
2023-08-13 11:44:31	ga_ls8c_ard_3-2-1_114074_2023-08-13_final
2023-08-15 11:33:47	ga_ls8c_ard_3-2-1_112078_2023-08-15_final
2023-08-15 11:34:11	ga_ls8c_ard_3-2-1_112079_2023-08-15_final
2023-08-15 11:34:35	ga_ls8c_ard_3-2-1_112080_2023-08-15_final
2023-08-15 11:34:58	ga_ls8c_ard_3-2-1_112081_2023-08-15_final
2023-08-15 11:35:22	ga_ls8c_ard_3-2-1_112082_2023-08-15_final
2023-08-15 11:35:46	ga_ls8c_ard_3-2-1_112083_2023-08-15_final
2023-08-17 11:24:14	ga_ls8c_ard_3-2-1_110085_2023-08-17_final
2023-08-24 11:29:16	ga_ls8c_ard_3-2-1_111082_2023-08-24_final
2023-08-24 11:29:40	ga_ls8c_ard_3-2-1_111083_2023-08-24_final
2023-08-24 11:30:04	ga_ls8c_ard_3-2-1_111084_2023-08-24_final
2023-08-29 11:44:38	ga_ls8c_ard_3-2-1_114074_2023-08-29_final
2023-08-31 11:33:52	ga_ls8c_ard_3-2-1_112078_2023-08-31_final
2023-08-31 11:34:16	ga_ls8c_ard_3-2-1_112079_2023-08-31_final
2023-08-31 11:34:39	ga_ls8c_ard_3-2-1_112080_2023-08-31_final
2023-08-31 11:35:03	ga_ls8c_ard_3-2-1_112081_2023-08-31_final
2023-08-31 11:35:27	ga_ls8c_ard_3-2-1_112082_2023-08-31_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