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
2015-08-16 11:37:22	ga_ls8c_ard_3-0-0_113072_2015-08-16_final
2015-08-16 11:37:46	ga_ls8c_ard_3-0-0_113073_2015-08-16_final
2015-08-16 11:38:10	ga_ls8c_ard_3-0-0_113074_2015-08-16_final
2015-08-16 11:38:34	ga_ls8c_ard_3-0-0_113075_2015-08-16_final
2015-08-16 11:38:58	ga_ls8c_ard_3-0-0_113076_2015-08-16_final
2015-08-16 11:39:22	ga_ls8c_ard_3-0-0_113077_2015-08-16_final
2015-08-16 11:39:46	ga_ls8c_ard_3-0-0_113078_2015-08-16_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-08-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2015-08-18_final
2015-08-18 11:29:25	ga_ls8c_ard_3-0-0_111083_2015-08-18_final
2015-08-18 11:29:49	ga_ls8c_ard_3-0-0_111084_2015-08-18_final
2015-08-18 11:30:13	ga_ls8c_ard_3-0-0_111085_2015-08-18_final
2015-09-01 11:37:27	ga_ls8c_ard_3-0-0_113072_2015-09-01_final
2015-09-01 11:37:51	ga_ls8c_ard_3-1-0_113073_2015-09-01_final
2015-09-01 11:38:15	ga_ls8c_ard_3-0-0_113074_2015-09-01_final
2015-09-01 11:38:39	ga_ls8c_ard_3-0-0_113075_2015-09-01_final
2015-09-01 11:39:03	ga_ls8c_ard_3-0-0_113076_2015-09-01_final
2015-09-01 11:39:27	ga_ls8c_ard_3-0-0_113077_2015-09-01_final
2015-09-01 11:39:51	ga_ls8c_ard_3-0-0_113078_2015-09-01_final
2015-09-24 11:41:49	ga_ls8c_ard_3-0-0_114067_2015-09-24_final
2015-09-26 11:33:04	ga_ls8c_ard_3-0-0_112076_2015-09-26_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-09-26 11:33:52	ga_ls8c_ard_3-0-0_112078_2015-09-26_final
2015-09-26 11:34:16	ga_ls8c_ard_3-0-0_112079_2015-09-26_final
2015-09-26 11:34:40	ga_ls8c_ard_3-0-0_112080_2015-09-26_final
2015-09-26 11:35:03	ga_ls8c_ard_3-0-0_112081_2015-09-26_final
2015-09-26 11:35:27	ga_ls8c_ard_3-0-0_112082_2015-09-26_final
2015-10-26 11:41:55	ga_ls8c_ard_3-0-0_114067_2015-10-26_final
2015-10-28 11:33:34	ga_ls8c_ard_3-0-0_112077_2015-10-28_final
2015-10-28 11:33:58	ga_ls8c_ard_3-0-0_112078_2015-10-28_final
2015-10-28 11:34:22	ga_ls8c_ard_3-0-0_112079_2015-10-28_final
2015-10-28 11:34:46	ga_ls8c_ard_3-0-0_112080_2015-10-28_final
2015-10-28 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-10-28_final
2015-10-28 11:35:33	ga_ls8c_ard_3-0-0_112082_2015-10-28_final
2018-03-03 11:28:34	ga_ls8c_ard_3-0-0_111081_2018-03-03_final
2018-03-03 11:28:58	ga_ls8c_ard_3-0-0_111082_2018-03-03_final
2018-03-03 11:29:22	ga_ls8c_ard_3-0-0_111083_2018-03-03_final
2018-03-03 11:29:46	ga_ls8c_ard_3-0-0_111084_2018-03-03_final
2018-03-03 11:30:10	ga_ls8c_ard_3-0-0_111085_2018-03-03_final
2018-03-17 11:37:12	ga_ls8c_ard_3-0-0_113072_2018-03-17_final
2018-03-17 11:37:36	ga_ls8c_ard_3-0-0_113073_2018-03-17_final
2018-03-17 11:38:00	ga_ls8c_ard_3-0-0_113074_2018-03-17_final
2018-03-17 11:38:24	ga_ls8c_ard_3-0-0_113075_2018-03-17_final
2018-03-17 11:38:48	ga_ls8c_ard_3-0-0_113076_2018-03-17_final
2018-03-17 11:39:12	ga_ls8c_ard_3-0-0_113077_2018-03-17_final
2018-03-17 11:39:36	ga_ls8c_ard_3-0-0_113078_2018-03-17_final
2018-03-19 11:28:25	ga_ls8c_ard_3-0-0_111081_2018-03-19_final
2018-03-19 11:28:49	ga_ls8c_ard_3-0-0_111082_2018-03-19_final
2018-03-19 11:29:13	ga_ls8c_ard_3-0-0_111083_2018-03-19_final
2018-03-19 11:29:37	ga_ls8c_ard_3-0-0_111084_2018-03-19_final
2018-03-19 11:30:01	ga_ls8c_ard_3-0-0_111085_2018-03-19_final
2021-09-10 11:33:44	ga_ls8c_ard_3-2-0_112077_2021-09-10_final
2021-09-10 11:34:08	ga_ls8c_ard_3-2-0_112078_2021-09-10_final
2021-09-10 11:34:56	ga_ls8c_ard_3-2-0_112080_2021-09-10_final
2021-09-10 11:35:20	ga_ls8c_ard_3-2-0_112081_2021-09-10_final
2021-09-10 11:35:44	ga_ls8c_ard_3-2-0_112082_2021-09-10_final
2021-10-03 11:38:01	ga_ls8c_ard_3-2-0_113072_2021-10-03_final
2021-10-03 11:38:25	ga_ls8c_ard_3-2-0_113073_2021-10-03_final
2021-10-03 11:38:49	ga_ls8c_ard_3-2-0_113074_2021-10-03_final
2021-10-03 11:39:13	ga_ls8c_ard_3-2-0_113075_2021-10-03_final
2021-10-03 11:39:37	ga_ls8c_ard_3-2-0_113076_2021-10-03_final
2021-10-03 11:40:01	ga_ls8c_ard_3-2-0_113077_2021-10-03_final
2021-10-03 11:40:25	ga_ls8c_ard_3-2-0_113078_2021-10-03_final
2021-10-05 11:29:16	ga_ls8c_ard_3-2-0_111081_2021-10-05_final
2021-10-05 11:29:40	ga_ls8c_ard_3-2-0_111082_2021-10-05_final
2021-10-05 11:30:03	ga_ls8c_ard_3-2-0_111083_2021-10-05_final
2021-10-05 11:30:27	ga_ls8c_ard_3-2-0_111084_2021-10-05_final
2021-10-05 11:30:51	ga_ls8c_ard_3-2-0_111085_2021-10-05_final
2021-10-12 11:33:29	ga_ls8c_ard_3-2-0_112076_2021-10-12_final
2021-10-12 11:33:53	ga_ls8c_ard_3-2-0_112077_2021-10-12_final
2021-10-12 11:34:16	ga_ls8c_ard_3-2-0_112078_2021-10-12_final
2021-10-12 11:34:40	ga_ls8c_ard_3-2-0_112079_2021-10-12_final
2021-10-12 11:35:04	ga_ls8c_ard_3-2-0_112080_2021-10-12_final
2021-10-12 11:35:28	ga_ls8c_ard_3-2-0_112081_2021-10-12_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-10-14 11:24:19	ga_ls8c_ard_3-2-0_110084_2021-10-14_final
2021-10-14 11:24:43	ga_ls8c_ard_3-2-0_110085_2021-10-14_final
2022-06-16 11:37:50	ga_ls8c_ard_3-2-1_113072_2022-06-16_final
2022-06-16 11:38:14	ga_ls8c_ard_3-2-1_113073_2022-06-16_final
2022-06-16 11:38:38	ga_ls8c_ard_3-2-1_113074_2022-06-16_final
2022-06-16 11:39:02	ga_ls8c_ard_3-2-1_113075_2022-06-16_final
2022-06-16 11:39:25	ga_ls8c_ard_3-2-1_113076_2022-06-16_final
2022-06-16 11:39:49	ga_ls8c_ard_3-2-1_113077_2022-06-16_final
2022-06-25 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-06-25_final
2022-06-25 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-06-25_final
2022-06-25 11:34:06	ga_ls8c_ard_3-2-1_112078_2022-06-25_final
2022-06-25 11:34:30	ga_ls8c_ard_3-2-1_112079_2022-06-25_final
2022-06-25 11:34:54	ga_ls8c_ard_3-2-1_112080_2022-06-25_final
2022-06-25 11:35:17	ga_ls8c_ard_3-2-1_112081_2022-06-25_final
2022-06-25 11:35:41	ga_ls8c_ard_3-2-1_112082_2022-06-25_final
2022-06-27 11:24:08	ga_ls8c_ard_3-2-1_110084_2022-06-27_final
2022-06-27 11:24:32	ga_ls8c_ard_3-2-1_110085_2022-06-27_final
2022-07-11 11:33:18	ga_ls8c_ard_3-2-1_112076_2022-07-11_final
2022-07-11 11:33:42	ga_ls8c_ard_3-2-1_112077_2022-07-11_final
2022-07-11 11:34:06	ga_ls8c_ard_3-2-1_112078_2022-07-11_final
2022-07-11 11:34:30	ga_ls8c_ard_3-2-1_112079_2022-07-11_final
2022-07-11 11:34:54	ga_ls8c_ard_3-2-1_112080_2022-07-11_final
2022-07-11 11:35:18	ga_ls8c_ard_3-2-1_112081_2022-07-11_final
2022-07-11 11:35:41	ga_ls8c_ard_3-2-1_112082_2022-07-11_final
2022-07-13 11:24:07	ga_ls8c_ard_3-2-1_110084_2022-07-13_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years