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
2013-12-23 10:05:12	ga_ls8c_ard_3-0-0_098069_2013-12-23_final
2013-12-23 10:05:36	ga_ls8c_ard_3-0-0_098070_2013-12-23_final
2013-12-23 10:06:00	ga_ls8c_ard_3-0-0_098071_2013-12-23_final
2013-12-23 10:06:24	ga_ls8c_ard_3-0-0_098072_2013-12-23_final
2013-12-23 10:06:48	ga_ls8c_ard_3-0-0_098073_2013-12-23_final
2013-12-23 10:07:12	ga_ls8c_ard_3-0-0_098074_2013-12-23_final
2013-12-27 09:47:15	ga_ls8c_ard_3-0-0_094086_2013-12-27_final
2013-12-27 09:47:39	ga_ls8c_ard_3-0-0_094087_2013-12-27_final
2014-04-21 10:09:02	ga_ls8c_ard_3-0-0_099067_2014-04-21_final
2014-04-21 10:09:26	ga_ls8c_ard_3-0-0_099068_2014-04-21_final
2014-04-21 10:09:49	ga_ls8c_ard_3-0-0_099069_2014-04-21_final
2014-04-21 10:10:13	ga_ls8c_ard_3-0-0_099070_2014-04-21_final
2015-05-10 10:08:12	ga_ls8c_ard_3-0-0_099067_2015-05-10_final
2015-05-10 10:08:36	ga_ls8c_ard_3-0-0_099068_2015-05-10_final
2015-05-10 10:09:00	ga_ls8c_ard_3-0-0_099069_2015-05-10_final
2015-05-10 10:09:24	ga_ls8c_ard_3-0-0_099070_2015-05-10_final
2016-06-22 10:03:30	ga_ls8c_ard_3-0-0_098069_2016-06-22_final
2016-06-22 10:03:54	ga_ls8c_ard_3-0-0_098070_2016-06-22_final
2016-06-22 10:04:18	ga_ls8c_ard_3-0-0_098071_2016-06-22_final
2016-06-22 10:04:42	ga_ls8c_ard_3-0-0_098072_2016-06-22_final
2016-06-22 10:05:06	ga_ls8c_ard_3-0-0_098073_2016-06-22_final
2016-06-22 10:05:30	ga_ls8c_ard_3-0-0_098074_2016-06-22_final
2016-06-24 09:54:45	ga_ls8c_ard_3-0-0_096078_2016-06-24_final
2016-06-24 09:55:09	ga_ls8c_ard_3-0-0_096079_2016-06-24_final
2016-06-24 09:55:33	ga_ls8c_ard_3-0-0_096080_2016-06-24_final
2016-06-24 09:55:57	ga_ls8c_ard_3-0-0_096081_2016-06-24_final
2016-06-24 09:56:21	ga_ls8c_ard_3-0-0_096082_2016-06-24_final
2016-06-24 09:56:45	ga_ls8c_ard_3-0-0_096083_2016-06-24_final
2016-07-31 10:09:09	ga_ls8c_ard_3-0-0_099067_2016-07-31_final
2016-07-31 10:09:33	ga_ls8c_ard_3-0-0_099068_2016-07-31_final
2016-07-31 10:09:57	ga_ls8c_ard_3-0-0_099069_2016-07-31_final
2016-07-31 10:10:20	ga_ls8c_ard_3-0-0_099070_2016-07-31_final
2016-09-30 09:46:02	ga_ls8c_ard_3-0-0_094086_2016-09-30_final
2016-09-30 09:46:26	ga_ls8c_ard_3-0-0_094087_2016-09-30_final
2016-09-30 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-30_final
2016-10-12 10:04:04	ga_ls8c_ard_3-0-0_098069_2016-10-12_final
2016-10-12 10:04:28	ga_ls8c_ard_3-0-0_098070_2016-10-12_final
2016-10-12 10:04:51	ga_ls8c_ard_3-1-0_098071_2016-10-12_final
2016-10-12 10:05:15	ga_ls8c_ard_3-0-0_098072_2016-10-12_final
2016-10-12 10:05:39	ga_ls8c_ard_3-0-0_098073_2016-10-12_final
2016-10-12 10:06:03	ga_ls8c_ard_3-0-0_098074_2016-10-12_final
2016-10-14 09:55:18	ga_ls8c_ard_3-0-0_096078_2016-10-14_final
2016-10-14 09:55:42	ga_ls8c_ard_3-0-0_096079_2016-10-14_final
2016-10-14 09:56:06	ga_ls8c_ard_3-0-0_096080_2016-10-14_final
2016-10-14 09:56:30	ga_ls8c_ard_3-0-0_096081_2016-10-14_final
2016-10-14 09:56:54	ga_ls8c_ard_3-0-0_096082_2016-10-14_final
2016-10-14 09:57:18	ga_ls8c_ard_3-0-0_096083_2016-10-14_final
2019-07-12 09:50:20	ga_ls8c_ard_3-1-0_095082_2019-07-12_final
2019-07-12 09:50:44	ga_ls8c_ard_3-1-0_095083_2019-07-12_final
2019-07-12 09:51:08	ga_ls8c_ard_3-1-0_095084_2019-07-12_final
2019-07-12 09:51:32	ga_ls8c_ard_3-1-0_095085_2019-07-12_final
2019-07-12 09:51:56	ga_ls8c_ard_3-1-0_095086_2019-07-12_final
2019-07-12 09:52:20	ga_ls8c_ard_3-1-0_095087_2019-07-12_final
2019-08-11 09:59:40	ga_ls8c_ard_3-1-0_097074_2019-08-11_final
2019-08-11 10:00:04	ga_ls8c_ard_3-1-0_097075_2019-08-11_final
2019-08-11 10:00:28	ga_ls8c_ard_3-1-0_097076_2019-08-11_final
2019-08-11 10:00:52	ga_ls8c_ard_3-1-0_097077_2019-08-11_final
2019-08-11 10:01:16	ga_ls8c_ard_3-1-0_097078_2019-08-11_final
2019-08-11 10:01:40	ga_ls8c_ard_3-1-0_097079_2019-08-11_final
2019-08-13 09:50:31	ga_ls8c_ard_3-1-0_095082_2019-08-13_final
2019-08-13 09:50:55	ga_ls8c_ard_3-1-0_095083_2019-08-13_final
2019-08-13 09:51:19	ga_ls8c_ard_3-1-0_095084_2019-08-13_final
2019-08-13 09:51:43	ga_ls8c_ard_3-1-0_095085_2019-08-13_final
2019-08-13 09:52:07	ga_ls8c_ard_3-1-0_095086_2019-08-13_final
2019-08-13 09:52:31	ga_ls8c_ard_3-1-0_095087_2019-08-13_final
2019-08-18 10:03:54	ga_ls8c_ard_3-1-0_098069_2019-08-18_final
2019-08-18 10:04:18	ga_ls8c_ard_3-1-0_098070_2019-08-18_final
2019-08-18 10:04:42	ga_ls8c_ard_3-1-0_098071_2019-08-18_final
2019-08-18 10:05:05	ga_ls8c_ard_3-1-0_098072_2019-08-18_final
2019-08-18 10:05:29	ga_ls8c_ard_3-1-0_098073_2019-08-18_final
2019-08-18 10:05:53	ga_ls8c_ard_3-1-0_098074_2019-08-18_final
2019-08-20 09:55:08	ga_ls8c_ard_3-1-0_096078_2019-08-20_final
2019-08-20 09:55:32	ga_ls8c_ard_3-1-0_096079_2019-08-20_final
2019-08-20 09:55:56	ga_ls8c_ard_3-1-0_096080_2019-08-20_final
2019-08-20 09:56:20	ga_ls8c_ard_3-1-0_096081_2019-08-20_final
2019-08-20 09:56:44	ga_ls8c_ard_3-1-0_096082_2019-08-20_final
2019-08-20 09:57:08	ga_ls8c_ard_3-1-0_096083_2019-08-20_final
2019-08-29 09:50:35	ga_ls8c_ard_3-1-0_095082_2019-08-29_final
2019-08-29 09:50:59	ga_ls8c_ard_3-1-0_095083_2019-08-29_final
2019-08-29 09:51:23	ga_ls8c_ard_3-1-0_095084_2019-08-29_final
2019-08-29 09:51:47	ga_ls8c_ard_3-1-0_095085_2019-08-29_final
2019-08-29 09:52:11	ga_ls8c_ard_3-1-0_095086_2019-08-29_final
2019-08-29 09:52:35	ga_ls8c_ard_3-1-0_095087_2019-08-29_final
2019-09-07 09:46:02	ga_ls8c_ard_3-1-0_094086_2019-09-07_final
2019-09-07 09:46:26	ga_ls8c_ard_3-1-0_094087_2019-09-07_final
2019-09-07 09:46:50	ga_ls8c_ard_3-1-0_094088_2019-09-07_final
2019-10-21 10:04:09	ga_ls8c_ard_3-1-0_098069_2019-10-21_final
2019-10-21 10:04:33	ga_ls8c_ard_3-1-0_098070_2019-10-21_final
2019-10-21 10:04:56	ga_ls8c_ard_3-1-0_098071_2019-10-21_final
2019-10-21 10:05:20	ga_ls8c_ard_3-1-0_098072_2019-10-21_final
2019-10-21 10:05:44	ga_ls8c_ard_3-1-0_098073_2019-10-21_final
2019-10-21 10:06:08	ga_ls8c_ard_3-1-0_098074_2019-10-21_final
2019-10-23 09:55:22	ga_ls8c_ard_3-1-0_096078_2019-10-23_final
2019-10-23 09:55:46	ga_ls8c_ard_3-1-0_096079_2019-10-23_final
2019-10-23 09:56:10	ga_ls8c_ard_3-1-0_096080_2019-10-23_final
2019-10-23 09:56:34	ga_ls8c_ard_3-1-0_096081_2019-10-23_final
2019-10-23 09:56:58	ga_ls8c_ard_3-1-0_096082_2019-10-23_final
2019-10-23 09:57:22	ga_ls8c_ard_3-1-0_096083_2019-10-23_final
2019-10-25 09:46:12	ga_ls8c_ard_3-1-0_094086_2019-10-25_final
2019-10-25 09:46:36	ga_ls8c_ard_3-1-0_094087_2019-10-25_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