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
2015-10-19 09:56:48	ga_ls8c_ard_3-0-0_097067_2015-10-19_final
2015-10-19 09:57:12	ga_ls8c_ard_3-0-0_097068_2015-10-19_final
2015-10-19 09:57:36	ga_ls8c_ard_3-0-0_097069_2015-10-19_final
2015-10-19 09:58:00	ga_ls8c_ard_3-0-0_097070_2015-10-19_final
2015-10-19 09:58:24	ga_ls8c_ard_3-0-0_097071_2015-10-19_final
2015-10-19 09:58:48	ga_ls8c_ard_3-0-0_097072_2015-10-19_final
2015-10-21 09:47:39	ga_ls8c_ard_3-0-0_095075_2015-10-21_final
2015-10-21 09:48:03	ga_ls8c_ard_3-0-0_095076_2015-10-21_final
2015-10-21 09:48:27	ga_ls8c_ard_3-0-0_095077_2015-10-21_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2015-10-21 09:49:15	ga_ls8c_ard_3-0-0_095079_2015-10-21_final
2015-10-21 09:49:39	ga_ls8c_ard_3-0-0_095080_2015-10-21_final
2015-10-21 09:50:03	ga_ls8c_ard_3-0-0_095081_2015-10-21_final
2015-10-23 09:38:54	ga_ls8c_ard_3-0-0_093084_2015-10-23_final
2015-10-23 09:39:18	ga_ls8c_ard_3-0-0_093085_2015-10-23_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-23 09:40:06	ga_ls8c_ard_3-0-0_093087_2015-10-23_final
2015-10-23 09:40:30	ga_ls8c_ard_3-0-0_093088_2015-10-23_final
2015-11-27 10:03:06	ga_ls8c_ard_3-0-0_098067_2015-11-27_final
2015-11-29 09:52:20	ga_ls8c_ard_3-0-0_096071_2015-11-29_final
2015-11-29 09:52:44	ga_ls8c_ard_3-0-0_096072_2015-11-29_final
2015-11-29 09:53:08	ga_ls8c_ard_3-0-0_096073_2015-11-29_final
2015-11-29 09:53:32	ga_ls8c_ard_3-0-0_096074_2015-11-29_final
2015-11-29 09:53:56	ga_ls8c_ard_3-0-0_096075_2015-11-29_final
2015-11-29 09:54:20	ga_ls8c_ard_3-0-0_096076_2015-11-29_final
2015-12-06 09:56:54	ga_ls8c_ard_3-0-0_097067_2015-12-06_final
2015-12-06 09:57:18	ga_ls8c_ard_3-0-0_097068_2015-12-06_final
2015-12-06 09:57:42	ga_ls8c_ard_3-0-0_097069_2015-12-06_final
2015-12-06 09:58:06	ga_ls8c_ard_3-0-0_097070_2015-12-06_final
2015-12-06 09:58:30	ga_ls8c_ard_3-0-0_097071_2015-12-06_final
2015-12-06 09:58:54	ga_ls8c_ard_3-0-0_097072_2015-12-06_final
2016-02-08 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-02-08_final
2016-02-08 09:57:11	ga_ls8c_ard_3-0-0_097068_2016-02-08_final
2016-02-08 09:57:34	ga_ls8c_ard_3-0-0_097069_2016-02-08_final
2016-02-08 09:57:58	ga_ls8c_ard_3-0-0_097070_2016-02-08_final
2016-02-08 09:58:22	ga_ls8c_ard_3-0-0_097071_2016-02-08_final
2016-02-08 09:58:46	ga_ls8c_ard_3-0-0_097072_2016-02-08_final
2016-03-13 09:47:27	ga_ls8c_ard_3-0-0_095075_2016-03-13_final
2016-03-13 09:47:51	ga_ls8c_ard_3-0-0_095076_2016-03-13_final
2016-03-13 09:48:15	ga_ls8c_ard_3-0-0_095077_2016-03-13_final
2016-03-13 09:48:39	ga_ls8c_ard_3-0-0_095078_2016-03-13_final
2016-03-13 09:49:03	ga_ls8c_ard_3-0-0_095079_2016-03-13_final
2016-03-13 09:49:26	ga_ls8c_ard_3-0-0_095080_2016-03-13_final
2016-03-13 09:49:50	ga_ls8c_ard_3-0-0_095081_2016-03-13_final
2016-03-15 09:38:40	ga_ls8c_ard_3-0-0_093084_2016-03-15_final
2016-03-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2016-03-15_final
2016-03-15 09:39:28	ga_ls8c_ard_3-0-0_093086_2016-03-15_final
2016-03-15 09:39:52	ga_ls8c_ard_3-0-0_093087_2016-03-15_final
2016-03-15 09:40:16	ga_ls8c_ard_3-0-0_093088_2016-03-15_final
2016-03-27 09:56:29	ga_ls8c_ard_3-0-0_097067_2016-03-27_final
2016-03-27 09:56:53	ga_ls8c_ard_3-0-0_097068_2016-03-27_final
2016-03-27 09:57:17	ga_ls8c_ard_3-0-0_097069_2016-03-27_final
2016-03-27 09:57:41	ga_ls8c_ard_3-0-0_097070_2016-03-27_final
2016-03-27 09:58:04	ga_ls8c_ard_3-0-0_097071_2016-03-27_final
2016-03-27 09:58:28	ga_ls8c_ard_3-0-0_097072_2016-03-27_final
2016-04-21 09:51:43	ga_ls8c_ard_3-0-0_096071_2016-04-21_final
2016-04-21 09:52:07	ga_ls8c_ard_3-0-0_096072_2016-04-21_final
2016-04-21 09:52:31	ga_ls8c_ard_3-0-0_096073_2016-04-21_final
2016-04-21 09:52:55	ga_ls8c_ard_3-0-0_096074_2016-04-21_final
2016-04-21 09:53:19	ga_ls8c_ard_3-0-0_096075_2016-04-21_final
2016-04-21 09:53:43	ga_ls8c_ard_3-0-0_096076_2016-04-21_final
2016-04-23 09:42:56	ga_ls8c_ard_3-0-0_094080_2016-04-23_final
2016-04-23 09:43:20	ga_ls8c_ard_3-0-0_094081_2016-04-23_final
2016-04-23 09:43:44	ga_ls8c_ard_3-0-0_094082_2016-04-23_final
2016-04-23 09:44:08	ga_ls8c_ard_3-0-0_094083_2016-04-23_final
2016-04-23 09:44:32	ga_ls8c_ard_3-0-0_094084_2016-04-23_final
2016-04-23 09:44:56	ga_ls8c_ard_3-0-0_094085_2016-04-23_final
2018-10-13 09:47:26	ga_ls8c_ard_3-0-0_095075_2018-10-13_final
2018-10-13 09:47:49	ga_ls8c_ard_3-0-0_095076_2018-10-13_final
2018-10-13 09:48:13	ga_ls8c_ard_3-0-0_095077_2018-10-13_final
2018-10-13 09:48:37	ga_ls8c_ard_3-0-0_095078_2018-10-13_final
2018-10-13 09:49:01	ga_ls8c_ard_3-0-0_095079_2018-10-13_final
2018-10-13 09:49:25	ga_ls8c_ard_3-0-0_095080_2018-10-13_final
2018-10-13 09:49:49	ga_ls8c_ard_3-0-0_095081_2018-10-13_final
2018-10-15 09:38:40	ga_ls8c_ard_3-0-0_093084_2018-10-15_final
2018-10-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2018-10-15_final
2018-10-15 09:39:28	ga_ls8c_ard_3-0-0_093086_2018-10-15_final
2018-10-15 09:39:52	ga_ls8c_ard_3-0-0_093087_2018-10-15_final
2018-10-15 09:40:16	ga_ls8c_ard_3-0-0_093088_2018-10-15_final
2018-10-17 09:28:43	ga_ls8c_ard_3-0-0_091090_2018-10-16_final
2018-10-17 09:29:07	ga_ls8c_ard_3-0-0_091091_2018-10-16_final
2018-11-25 09:33:47	ga_ls8c_ard_3-0-0_092087_2018-11-25_final
2018-11-25 09:34:11	ga_ls8c_ard_3-0-0_092088_2018-11-25_final
2018-11-25 09:34:35	ga_ls8c_ard_3-0-0_092089_2018-11-25_final
2018-11-25 09:34:59	ga_ls8c_ard_3-0-0_092090_2018-11-25_final
2018-11-28 09:56:42	ga_ls8c_ard_3-0-0_097067_2018-11-28_final
2018-11-28 09:57:05	ga_ls8c_ard_3-0-0_097068_2018-11-28_final
2018-11-28 09:57:29	ga_ls8c_ard_3-0-0_097069_2018-11-28_final
2018-11-28 09:57:53	ga_ls8c_ard_3-0-0_097070_2018-11-28_final
2018-11-28 09:58:17	ga_ls8c_ard_3-0-0_097071_2018-11-28_final
2018-11-28 09:58:41	ga_ls8c_ard_3-0-0_097072_2018-11-28_final
2018-12-11 09:33:44	ga_ls8c_ard_3-0-0_092087_2018-12-11_final
2018-12-11 09:34:08	ga_ls8c_ard_3-0-0_092088_2018-12-11_final
2018-12-11 09:34:32	ga_ls8c_ard_3-0-0_092089_2018-12-11_final
2018-12-11 09:34:56	ga_ls8c_ard_3-0-0_092090_2018-12-11_final
2018-12-30 09:56:39	ga_ls8c_ard_3-0-0_097067_2018-12-30_final
2018-12-30 09:57:03	ga_ls8c_ard_3-0-0_097068_2018-12-30_final
2018-12-30 09:57:26	ga_ls8c_ard_3-0-0_097069_2018-12-30_final
2018-12-30 09:57:50	ga_ls8c_ard_3-0-0_097070_2018-12-30_final
2018-12-30 09:58:14	ga_ls8c_ard_3-0-0_097071_2018-12-30_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