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
2015-12-31 09:52:18	ga_ls8c_ard_3-0-0_096071_2015-12-31_final
2015-12-31 09:52:42	ga_ls8c_ard_3-0-0_096072_2015-12-31_final
2015-12-31 09:53:06	ga_ls8c_ard_3-0-0_096073_2015-12-31_final
2015-12-31 09:53:30	ga_ls8c_ard_3-0-0_096074_2015-12-31_final
2015-12-31 09:53:54	ga_ls8c_ard_3-0-0_096075_2015-12-31_final
2015-12-31 09:54:17	ga_ls8c_ard_3-0-0_096076_2015-12-31_final
2015-12-31 09:54:41	ga_ls8c_ard_3-0-0_096077_2015-12-31_final
2016-01-02 09:43:31	ga_ls8c_ard_3-0-0_094080_2016-01-02_final
2016-01-02 09:43:55	ga_ls8c_ard_3-0-0_094081_2016-01-02_final
2016-01-02 09:44:19	ga_ls8c_ard_3-0-0_094082_2016-01-02_final
2016-01-02 09:44:43	ga_ls8c_ard_3-0-0_094083_2016-01-02_final
2016-01-02 09:45:07	ga_ls8c_ard_3-0-0_094084_2016-01-02_final
2016-01-02 09:45:31	ga_ls8c_ard_3-0-0_094085_2016-01-02_final
2016-01-25 09:48:05	ga_ls8c_ard_3-0-0_095076_2016-01-25_final
2016-01-25 09:48:29	ga_ls8c_ard_3-0-0_095077_2016-01-25_final
2016-01-25 09:48:53	ga_ls8c_ard_3-0-0_095078_2016-01-25_final
2016-01-25 09:49:17	ga_ls8c_ard_3-0-0_095079_2016-01-25_final
2016-01-25 09:49:40	ga_ls8c_ard_3-0-0_095080_2016-01-25_final
2016-01-25 09:50:04	ga_ls8c_ard_3-0-0_095081_2016-01-25_final
2016-01-27 09:38:54	ga_ls8c_ard_3-0-0_093084_2016-01-27_final
2016-01-27 09:39:18	ga_ls8c_ard_3-0-0_093085_2016-01-27_final
2016-01-27 09:39:42	ga_ls8c_ard_3-0-0_093086_2016-01-27_final
2016-01-27 09:40:06	ga_ls8c_ard_3-0-0_093087_2016-01-27_final
2016-01-27 09:40:30	ga_ls8c_ard_3-0-0_093088_2016-01-27_final
2019-06-30 09:28:46	ga_ls8c_ard_3-1-0_091090_2019-06-29_final
2019-06-30 09:29:10	ga_ls8c_ard_3-1-0_091091_2019-06-29_final
2019-07-01 10:02:51	ga_ls8c_ard_3-1-0_098067_2019-07-01_final
2019-07-03 09:52:06	ga_ls8c_ard_3-1-0_096071_2019-07-03_final
2019-07-03 09:52:30	ga_ls8c_ard_3-1-0_096072_2019-07-03_final
2019-07-03 09:52:54	ga_ls8c_ard_3-1-0_096073_2019-07-03_final
2019-07-03 09:53:17	ga_ls8c_ard_3-1-0_096074_2019-07-03_final
2019-07-03 09:53:41	ga_ls8c_ard_3-1-0_096075_2019-07-03_final
2019-07-03 09:54:05	ga_ls8c_ard_3-1-0_096076_2019-07-03_final
2019-07-03 09:54:29	ga_ls8c_ard_3-1-0_096077_2019-07-03_final
2019-07-17 10:02:54	ga_ls8c_ard_3-1-0_098067_2019-07-17_final
2019-07-23 09:33:50	ga_ls8c_ard_3-1-0_092087_2019-07-23_final
2019-07-23 09:34:14	ga_ls8c_ard_3-1-0_092088_2019-07-23_final
2019-07-23 09:34:38	ga_ls8c_ard_3-1-0_092089_2019-07-23_final
2019-07-23 09:35:02	ga_ls8c_ard_3-1-0_092090_2019-07-23_final
2019-08-17 09:29:01	ga_ls8c_ard_3-1-0_091090_2019-08-16_final
2019-08-17 09:29:25	ga_ls8c_ard_3-1-0_091091_2019-08-16_final
2019-08-18 10:03:06	ga_ls8c_ard_3-1-0_098067_2019-08-18_final
2019-08-20 09:52:20	ga_ls8c_ard_3-1-0_096071_2019-08-20_final
2019-08-20 09:52:44	ga_ls8c_ard_3-1-0_096072_2019-08-20_final
2019-08-20 09:53:08	ga_ls8c_ard_3-1-0_096073_2019-08-20_final
2019-08-20 09:53:32	ga_ls8c_ard_3-1-0_096074_2019-08-20_final
2019-08-20 09:53:56	ga_ls8c_ard_3-1-0_096075_2019-08-20_final
2019-08-20 09:54:20	ga_ls8c_ard_3-1-0_096076_2019-08-20_final
2019-08-20 09:54:44	ga_ls8c_ard_3-1-0_096077_2019-08-20_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-09 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-09-09_final
2019-09-09 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-09-09_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-10-04 09:29:14	ga_ls8c_ard_3-1-0_091090_2019-10-03_final
2019-10-04 09:29:38	ga_ls8c_ard_3-1-0_091091_2019-10-03_final
2019-10-05 10:02:55	ga_ls8c_ard_3-2-1_098066_2019-10-05_final
2019-10-05 10:03:19	ga_ls8c_ard_3-1-0_098067_2019-10-05_final
2019-10-07 09:52:33	ga_ls8c_ard_3-1-0_096071_2019-10-07_final
2019-10-07 09:52:57	ga_ls8c_ard_3-1-0_096072_2019-10-07_final
2019-10-07 09:53:21	ga_ls8c_ard_3-1-0_096073_2019-10-07_final
2019-10-07 09:53:45	ga_ls8c_ard_3-1-0_096074_2019-10-07_final
2019-10-07 09:54:09	ga_ls8c_ard_3-1-0_096075_2019-10-07_final
2019-10-07 09:54:33	ga_ls8c_ard_3-1-0_096076_2019-10-07_final
2019-10-07 09:54:57	ga_ls8c_ard_3-1-0_096077_2019-10-07_final
2019-10-21 10:02:57	ga_ls8c_ard_3-2-1_098066_2019-10-21_final
2019-10-21 10:03:21	ga_ls8c_ard_3-1-0_098067_2019-10-21_final
2019-11-01 09:48:23	ga_ls8c_ard_3-1-0_095076_2019-11-01_final
2019-11-01 09:48:47	ga_ls8c_ard_3-1-0_095077_2019-11-01_final
2019-11-01 09:49:11	ga_ls8c_ard_3-1-0_095078_2019-11-01_final
2019-11-01 09:49:35	ga_ls8c_ard_3-1-0_095079_2019-11-01_final
2019-11-01 09:49:59	ga_ls8c_ard_3-1-0_095080_2019-11-01_final
2019-11-01 09:50:23	ga_ls8c_ard_3-1-0_095081_2019-11-01_final
2019-11-03 09:39:13	ga_ls8c_ard_3-1-0_093084_2019-11-03_final
2019-11-03 09:39:37	ga_ls8c_ard_3-1-0_093085_2019-11-03_final
2019-11-03 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-11-03_final
2019-11-03 09:40:25	ga_ls8c_ard_3-1-0_093087_2019-11-03_final
2019-11-03 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-11-03_final
2019-11-17 09:48:20	ga_ls8c_ard_3-1-0_095076_2019-11-17_final
2019-11-17 09:48:44	ga_ls8c_ard_3-1-0_095077_2019-11-17_final
2019-11-19 09:39:10	ga_ls8c_ard_3-1-0_093084_2019-11-19_final
2019-11-19 09:39:34	ga_ls8c_ard_3-1-0_093085_2019-11-19_final
2019-11-19 09:39:58	ga_ls8c_ard_3-1-0_093086_2019-11-19_final
2019-11-19 09:40:21	ga_ls8c_ard_3-1-0_093087_2019-11-19_final
2019-11-19 09:40:45	ga_ls8c_ard_3-1-0_093088_2019-11-19_final
2019-12-28 09:43:39	ga_ls8c_ard_3-1-0_094080_2019-12-28_final
2019-12-28 09:44:03	ga_ls8c_ard_3-1-0_094081_2019-12-28_final
2019-12-28 09:44:27	ga_ls8c_ard_3-1-0_094082_2019-12-28_final
2019-12-28 09:44:51	ga_ls8c_ard_3-1-0_094083_2019-12-28_final
2019-12-28 09:45:15	ga_ls8c_ard_3-1-0_094084_2019-12-28_final
2019-12-28 09:45:39	ga_ls8c_ard_3-1-0_094085_2019-12-28_final
2019-12-30 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-12-30_final
2019-12-30 09:34:29	ga_ls8c_ard_3-1-0_092088_2019-12-30_final
2019-12-30 09:34:53	ga_ls8c_ard_3-1-0_092089_2019-12-30_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-02-23 09:38:50	ga_ls8c_ard_3-1-0_093084_2020-02-23_final
2020-02-23 09:39:14	ga_ls8c_ard_3-1-0_093085_2020-02-23_final
2020-02-23 09:39:38	ga_ls8c_ard_3-1-0_093086_2020-02-23_final
2020-02-23 09:40:02	ga_ls8c_ard_3-1-0_093087_2020-02-23_final
2020-02-23 09:40:26	ga_ls8c_ard_3-1-0_093088_2020-02-23_final
2020-02-25 09:28:51	ga_ls8c_ard_3-1-0_091090_2020-02-24_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