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
2013-09-18 10:04:54	ga_ls8c_ard_3-0-0_098067_2013-09-18_final
2013-09-18 10:05:18	ga_ls8c_ard_3-0-0_098068_2013-09-18_final
2013-09-18 10:05:42	ga_ls8c_ard_3-0-0_098069_2013-09-18_final
2013-09-22 09:46:08	ga_ls8c_ard_3-0-0_094082_2013-09-22_final
2013-09-22 09:46:32	ga_ls8c_ard_3-0-0_094083_2013-09-22_final
2013-09-22 09:46:56	ga_ls8c_ard_3-0-0_094084_2013-09-22_final
2013-09-22 09:47:20	ga_ls8c_ard_3-1-0_094085_2013-09-22_final
2013-09-22 09:47:44	ga_ls8c_ard_3-0-0_094086_2013-09-22_final
2013-09-22 09:48:08	ga_ls8c_ard_3-0-0_094087_2013-09-22_final
2013-09-24 09:36:33	ga_ls8c_ard_3-0-0_092089_2013-09-24_final
2013-10-13 09:59:26	ga_ls8c_ard_3-0-0_097069_2013-10-13_final
2013-10-13 09:59:50	ga_ls8c_ard_3-0-0_097070_2013-10-13_final
2013-10-13 10:00:14	ga_ls8c_ard_3-0-0_097071_2013-10-13_final
2013-10-15 09:51:51	ga_ls8c_ard_3-0-0_095081_2013-10-15_final
2013-10-15 09:52:15	ga_ls8c_ard_3-0-0_095082_2013-10-15_final
2013-10-17 09:41:05	ga_ls8c_ard_3-0-0_093085_2013-10-17_final
2013-10-17 09:41:29	ga_ls8c_ard_3-0-0_093086_2013-10-17_final
2013-10-17 09:41:53	ga_ls8c_ard_3-0-0_093087_2013-10-17_final
2013-10-22 09:54:47	ga_ls8c_ard_3-0-0_096073_2013-10-22_final
2013-10-22 09:56:47	ga_ls8c_ard_3-0-0_096078_2013-10-22_final
2013-10-22 09:57:11	ga_ls8c_ard_3-0-0_096079_2013-10-22_final
2013-10-24 09:45:59	ga_ls8c_ard_3-0-0_094082_2013-10-24_final
2013-10-24 09:46:23	ga_ls8c_ard_3-0-0_094083_2013-10-24_final
2013-10-24 09:46:47	ga_ls8c_ard_3-0-0_094084_2013-10-24_final
2013-10-24 09:47:11	ga_ls8c_ard_3-0-0_094085_2013-10-24_final
2013-10-24 09:47:35	ga_ls8c_ard_3-0-0_094086_2013-10-24_final
2013-10-24 09:47:59	ga_ls8c_ard_3-0-0_094087_2013-10-24_final
2013-10-29 09:59:41	ga_ls8c_ard_3-0-0_097070_2013-10-29_final
2013-10-29 10:00:04	ga_ls8c_ard_3-0-0_097071_2013-10-29_final
2013-10-29 10:00:28	ga_ls8c_ard_3-0-0_097072_2013-10-29_final
2013-10-29 10:00:52	ga_ls8c_ard_3-0-0_097073_2013-10-29_final
2013-10-29 10:01:16	ga_ls8c_ard_3-0-0_097074_2013-10-29_final
2014-01-12 09:45:26	ga_ls8c_ard_3-0-0_094082_2014-01-12_final
2014-01-12 09:45:50	ga_ls8c_ard_3-0-0_094083_2014-01-12_final
2014-01-12 09:46:14	ga_ls8c_ard_3-0-0_094084_2014-01-12_final
2014-01-12 09:46:38	ga_ls8c_ard_3-0-0_094085_2014-01-12_final
2014-01-12 09:47:02	ga_ls8c_ard_3-0-0_094086_2014-01-12_final
2014-01-12 09:47:26	ga_ls8c_ard_3-0-0_094087_2014-01-12_final
2014-01-14 09:35:50	ga_ls8c_ard_3-0-0_092089_2014-01-14_final
2014-01-17 09:58:43	ga_ls8c_ard_3-0-0_097069_2014-01-17_final
2014-01-17 09:59:07	ga_ls8c_ard_3-1-0_097070_2014-01-17_final
2014-01-17 09:59:31	ga_ls8c_ard_3-0-0_097071_2014-01-17_final
2014-01-17 09:59:55	ga_ls8c_ard_3-0-0_097072_2014-01-17_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2020-10-07 10:02:53	ga_ls8c_ard_3-2-1_098066_2020-10-07_final
2020-10-07 10:03:17	ga_ls8c_ard_3-1-0_098067_2020-10-07_final
2020-10-07 10:03:40	ga_ls8c_ard_3-1-0_098068_2020-10-07_final
2020-10-07 10:04:04	ga_ls8c_ard_3-1-0_098069_2020-10-07_final
2020-10-13 09:34:59	ga_ls8c_ard_3-1-0_092089_2020-10-13_final
2020-10-13 09:35:23	ga_ls8c_ard_3-1-0_092090_2020-10-13_final
2020-11-01 09:57:29	ga_ls8c_ard_3-1-0_097068_2020-11-01_final
2020-11-01 09:57:53	ga_ls8c_ard_3-1-0_097069_2020-11-01_final
2020-11-01 09:58:17	ga_ls8c_ard_3-1-0_097070_2020-11-01_final
2020-11-01 09:58:41	ga_ls8c_ard_3-1-0_097071_2020-11-01_final
2020-11-01 09:59:05	ga_ls8c_ard_3-1-0_097072_2020-11-01_final
2020-11-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2020-11-01_final
2020-11-01 09:59:53	ga_ls8c_ard_3-1-0_097074_2020-11-01_final
2020-12-10 10:02:54	ga_ls8c_ard_3-2-1_098066_2020-12-10_final
2020-12-10 10:03:18	ga_ls8c_ard_3-1-0_098067_2020-12-10_final
2020-12-10 10:03:42	ga_ls8c_ard_3-1-0_098068_2020-12-10_final
2020-12-10 10:04:06	ga_ls8c_ard_3-1-0_098069_2020-12-10_final
2021-10-26 10:03:23	ga_ls8c_ard_3-2-0_098067_2021-10-26_final
2021-10-26 10:03:47	ga_ls8c_ard_3-2-0_098068_2021-10-26_final
2021-10-26 10:04:11	ga_ls8c_ard_3-2-0_098069_2021-10-26_final
2021-10-28 09:53:25	ga_ls8c_ard_3-2-0_096073_2021-10-28_final
2021-10-28 09:53:49	ga_ls8c_ard_3-2-0_096074_2021-10-28_final
2021-10-28 09:54:13	ga_ls8c_ard_3-2-0_096075_2021-10-28_final
2021-10-28 09:54:37	ga_ls8c_ard_3-2-0_096076_2021-10-28_final
2021-10-28 09:55:01	ga_ls8c_ard_3-2-0_096077_2021-10-28_final
2021-10-28 09:55:25	ga_ls8c_ard_3-2-0_096078_2021-10-28_final
2021-10-28 09:55:49	ga_ls8c_ard_3-2-0_096079_2021-10-28_final
2021-10-30 09:44:39	ga_ls8c_ard_3-2-0_094082_2021-10-30_final
2021-10-30 09:45:03	ga_ls8c_ard_3-2-0_094083_2021-10-30_final
2021-10-30 09:45:26	ga_ls8c_ard_3-2-0_094084_2021-10-30_final
2021-10-30 09:45:50	ga_ls8c_ard_3-2-0_094085_2021-10-30_final
2021-10-30 09:46:14	ga_ls8c_ard_3-2-0_094086_2021-10-30_final
2021-10-30 09:46:38	ga_ls8c_ard_3-2-0_094087_2021-10-30_final
2021-11-01 09:35:04	ga_ls8c_ard_3-2-0_092089_2021-11-01_final
2021-11-01 09:35:28	ga_ls8c_ard_3-2-0_092090_2021-11-01_final
2021-11-06 09:48:48	ga_ls8c_ard_3-2-0_095077_2021-11-06_final
2021-11-06 09:49:12	ga_ls8c_ard_3-2-0_095078_2021-11-06_final
2021-11-06 09:49:36	ga_ls8c_ard_3-2-0_095079_2021-11-06_final
2021-11-06 09:50:00	ga_ls8c_ard_3-2-0_095080_2021-11-06_final
2021-11-06 09:50:24	ga_ls8c_ard_3-2-0_095081_2021-11-06_final
2021-11-06 09:50:48	ga_ls8c_ard_3-2-0_095082_2021-11-06_final
2021-11-06 09:51:12	ga_ls8c_ard_3-2-0_095083_2021-11-06_final
2021-11-08 09:39:38	ga_ls8c_ard_3-2-0_093085_2021-11-08_final
2021-11-08 09:40:02	ga_ls8c_ard_3-2-0_093086_2021-11-08_final
2021-11-08 09:40:26	ga_ls8c_ard_3-2-0_093087_2021-11-08_final
2021-11-08 09:40:50	ga_ls8c_ard_3-2-0_093088_2021-11-08_final
2023-11-23 09:34:54	ga_ls8c_ard_3-2-1_092089_2023-11-23_final
2023-11-23 09:35:18	ga_ls8c_ard_3-2-1_092090_2023-11-23_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-11-26 09:57:49	ga_ls8c_ard_3-2-1_097069_2023-11-26_final
2023-11-26 09:58:13	ga_ls8c_ard_3-2-1_097070_2023-11-26_final
2023-11-26 09:58:37	ga_ls8c_ard_3-2-1_097071_2023-11-26_final
2023-11-26 09:59:01	ga_ls8c_ard_3-2-1_097072_2023-11-26_final
2023-11-26 09:59:25	ga_ls8c_ard_3-2-1_097073_2023-11-26_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