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
2013-04-03 11:26:48	ga_ls8c_ard_3-0-0_111072_2013-04-03_final
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-04-03 11:27:36	ga_ls8c_ard_3-0-0_111074_2013-04-03_final
2013-04-03 11:27:59	ga_ls8c_ard_3-0-0_111075_2013-04-03_final
2013-04-03 11:28:23	ga_ls8c_ard_3-0-0_111076_2013-04-03_final
2013-04-03 11:28:47	ga_ls8c_ard_3-0-0_111077_2013-04-03_final
2013-04-03 11:29:11	ga_ls8c_ard_3-0-0_111078_2013-04-03_final
2013-07-09 11:37:39	ga_ls8c_ard_3-0-0_113067_2013-07-09_final
2013-07-11 11:27:17	ga_ls8c_ard_3-0-0_111072_2013-07-11_final
2013-07-11 11:27:40	ga_ls8c_ard_3-0-0_111073_2013-07-11_final
2013-07-11 11:28:04	ga_ls8c_ard_3-0-0_111074_2013-07-11_final
2013-07-11 11:28:28	ga_ls8c_ard_3-0-0_111075_2013-07-11_final
2013-07-11 11:28:52	ga_ls8c_ard_3-0-0_111076_2013-07-11_final
2013-07-11 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-07-11_final
2013-07-11 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-07-11_final
2013-07-25 11:37:38	ga_ls8c_ard_3-0-0_113067_2013-07-25_final
2013-08-30 11:18:34	ga_ls8c_ard_3-0-0_109081_2013-08-30_final
2017-10-21 11:12:14	ga_ls8c_ard_3-0-0_108085_2017-10-21_final
2017-10-24 11:35:57	ga_ls8c_ard_3-0-0_113067_2017-10-24_final
2017-11-02 11:29:46	ga_ls8c_ard_3-0-0_112067_2017-11-02_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2017-11-02 11:30:34	ga_ls8c_ard_3-0-0_112069_2017-11-02_final
2017-11-02 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-11-02_final
2017-11-02 11:31:22	ga_ls8c_ard_3-0-0_112071_2017-11-02_final
2017-11-02 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-11-02_final
2017-11-02 11:32:10	ga_ls8c_ard_3-0-0_112073_2017-11-02_final
2017-11-04 11:21:24	ga_ls8c_ard_3-0-0_110077_2017-11-04_final
2017-11-04 11:21:48	ga_ls8c_ard_3-0-0_110078_2017-11-04_final
2017-11-04 11:22:11	ga_ls8c_ard_3-0-0_110079_2017-11-04_final
2017-11-04 11:22:35	ga_ls8c_ard_3-0-0_110080_2017-11-04_final
2017-11-04 11:22:59	ga_ls8c_ard_3-0-0_110081_2017-11-04_final
2017-11-04 11:23:23	ga_ls8c_ard_3-0-0_110082_2017-11-04_final
2017-11-13 11:16:47	ga_ls8c_ard_3-0-0_109081_2017-11-13_final
2017-11-13 11:17:10	ga_ls8c_ard_3-0-0_109082_2017-11-13_final
2017-11-13 11:17:34	ga_ls8c_ard_3-0-0_109083_2017-11-13_final
2017-11-13 11:17:58	ga_ls8c_ard_3-0-0_109084_2017-11-13_final
2017-11-13 11:18:22	ga_ls8c_ard_3-0-0_109085_2017-11-13_final
2017-12-20 11:29:40	ga_ls8c_ard_3-0-0_112067_2017-12-20_final
2017-12-20 11:30:04	ga_ls8c_ard_3-0-0_112068_2017-12-20_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2017-12-20 11:30:52	ga_ls8c_ard_3-0-0_112070_2017-12-20_final
2017-12-20 11:31:16	ga_ls8c_ard_3-0-0_112071_2017-12-20_final
2017-12-20 11:31:40	ga_ls8c_ard_3-0-0_112072_2017-12-20_final
2017-12-20 11:32:04	ga_ls8c_ard_3-0-0_112073_2017-12-20_final
2017-12-22 11:21:18	ga_ls8c_ard_3-0-0_110077_2017-12-22_final
2017-12-22 11:21:42	ga_ls8c_ard_3-0-0_110078_2017-12-22_final
2017-12-22 11:22:06	ga_ls8c_ard_3-0-0_110079_2017-12-22_final
2017-12-22 11:22:30	ga_ls8c_ard_3-0-0_110080_2017-12-22_final
2017-12-22 11:22:54	ga_ls8c_ard_3-0-0_110081_2017-12-22_final
2017-12-22 11:23:18	ga_ls8c_ard_3-0-0_110082_2017-12-22_final
2017-12-29 11:25:27	ga_ls8c_ard_3-0-0_111072_2017-12-29_final
2017-12-29 11:25:51	ga_ls8c_ard_3-0-0_111073_2017-12-29_final
2017-12-29 11:26:15	ga_ls8c_ard_3-0-0_111074_2017-12-29_final
2017-12-29 11:26:39	ga_ls8c_ard_3-0-0_111075_2017-12-29_final
2017-12-29 11:27:03	ga_ls8c_ard_3-0-0_111076_2017-12-29_final
2017-12-29 11:27:27	ga_ls8c_ard_3-0-0_111077_2017-12-29_final
2017-12-29 11:27:51	ga_ls8c_ard_3-0-0_111078_2017-12-29_final
2017-12-31 11:16:41	ga_ls8c_ard_3-0-0_109081_2017-12-31_final
2017-12-31 11:17:04	ga_ls8c_ard_3-0-0_109082_2017-12-31_final
2017-12-31 11:17:28	ga_ls8c_ard_3-0-0_109083_2017-12-31_final
2017-12-31 11:17:52	ga_ls8c_ard_3-0-0_109084_2017-12-31_final
2017-12-31 11:18:16	ga_ls8c_ard_3-0-0_109085_2017-12-31_final
2018-01-09 11:12:02	ga_ls8c_ard_3-0-0_108085_2018-01-09_final
2018-01-12 11:35:44	ga_ls8c_ard_3-0-0_113067_2018-01-12_final
2018-01-14 11:25:21	ga_ls8c_ard_3-0-0_111072_2018-01-14_final
2018-01-14 11:25:45	ga_ls8c_ard_3-0-0_111073_2018-01-14_final
2018-01-14 11:26:09	ga_ls8c_ard_3-0-0_111074_2018-01-14_final
2018-01-14 11:26:33	ga_ls8c_ard_3-0-0_111075_2018-01-14_final
2018-01-14 11:26:57	ga_ls8c_ard_3-0-0_111076_2018-01-14_final
2018-01-14 11:27:21	ga_ls8c_ard_3-0-0_111077_2018-01-14_final
2018-01-14 11:27:45	ga_ls8c_ard_3-0-0_111078_2018-01-14_final
2018-01-16 11:16:34	ga_ls8c_ard_3-0-0_109081_2018-01-16_final
2018-01-16 11:16:58	ga_ls8c_ard_3-0-0_109082_2018-01-16_final
2018-01-16 11:17:22	ga_ls8c_ard_3-0-0_109083_2018-01-16_final
2018-01-16 11:17:46	ga_ls8c_ard_3-0-0_109084_2018-01-16_final
2018-01-16 11:18:09	ga_ls8c_ard_3-0-0_109085_2018-01-16_final
2024-01-06 11:31:33	ga_ls8c_ard_3-2-1_112072_2024-01-06_final
2024-01-06 11:31:57	ga_ls8c_ard_3-2-1_112073_2024-01-06_final
2024-01-08 11:21:12	ga_ls8c_ard_3-2-1_110077_2024-01-08_final
2024-01-08 11:21:36	ga_ls8c_ard_3-2-1_110078_2024-01-08_final
2024-01-08 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-01-08_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-08 11:22:48	ga_ls8c_ard_3-2-1_110081_2024-01-08_final
2024-01-08 11:23:12	ga_ls8c_ard_3-2-1_110082_2024-01-08_final
2024-01-15 11:25:25	ga_ls8c_ard_3-2-1_111072_2024-01-15_final
2024-01-15 11:25:49	ga_ls8c_ard_3-2-1_111073_2024-01-15_final
2024-01-15 11:26:13	ga_ls8c_ard_3-2-1_111074_2024-01-15_final
2024-01-15 11:26:37	ga_ls8c_ard_3-2-1_111075_2024-01-15_final
2024-01-15 11:27:01	ga_ls8c_ard_3-2-1_111076_2024-01-15_final
2024-01-15 11:27:25	ga_ls8c_ard_3-2-1_111077_2024-01-15_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-17 11:16:38	ga_ls8c_ard_3-2-1_109081_2024-01-17_final
2024-01-17 11:17:02	ga_ls8c_ard_3-2-1_109082_2024-01-17_final
2024-01-17 11:17:26	ga_ls8c_ard_3-2-1_109083_2024-01-17_final
2024-01-17 11:17:50	ga_ls8c_ard_3-2-1_109084_2024-01-17_final
2024-04-13 11:20:40	ga_ls8c_ard_3-2-1_110077_2024-04-13_final
2024-04-13 11:21:04	ga_ls8c_ard_3-2-1_110078_2024-04-13_final
2024-04-13 11:21:28	ga_ls8c_ard_3-2-1_110079_2024-04-13_final
2024-04-13 11:21:52	ga_ls8c_ard_3-2-1_110080_2024-04-13_final
2024-04-13 11:22:15	ga_ls8c_ard_3-2-1_110081_2024-04-13_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