Search ga_ls8c_ard_3 across 2020

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
2020-03-10 09:31:57	ga_ls8c_ard_3-1-0_093067_2020-03-10_final
2020-03-10 09:32:21	ga_ls8c_ard_3-1-0_093068_2020-03-10_final
2020-03-10 09:33:33	ga_ls8c_ard_3-1-0_093071_2020-03-10_final
2020-03-10 09:33:57	ga_ls8c_ard_3-1-0_093072_2020-03-10_final
2020-03-10 09:34:20	ga_ls8c_ard_3-1-0_093073_2020-03-10_final
2020-03-10 09:34:44	ga_ls8c_ard_3-1-0_093074_2020-03-10_final
2020-03-10 09:35:08	ga_ls8c_ard_3-1-0_093075_2020-03-10_final
2020-03-10 09:35:32	ga_ls8c_ard_3-1-0_093076_2020-03-10_final
2020-03-10 09:35:56	ga_ls8c_ard_3-1-0_093077_2020-03-10_final
2020-03-10 09:36:20	ga_ls8c_ard_3-1-0_093078_2020-03-10_final
2020-03-10 09:36:44	ga_ls8c_ard_3-1-0_093079_2020-03-10_final
2020-03-10 09:37:08	ga_ls8c_ard_3-1-0_093080_2020-03-10_final
2020-03-10 09:37:32	ga_ls8c_ard_3-1-0_093081_2020-03-10_final
2020-03-10 09:37:56	ga_ls8c_ard_3-1-0_093082_2020-03-10_final
2020-03-10 09:38:20	ga_ls8c_ard_3-1-0_093083_2020-03-10_final
2020-03-10 09:38:44	ga_ls8c_ard_3-1-0_093084_2020-03-10_final
2020-03-10 09:39:08	ga_ls8c_ard_3-1-0_093085_2020-03-10_final
2020-03-10 09:39:32	ga_ls8c_ard_3-1-0_093086_2020-03-10_final
2020-03-10 09:39:56	ga_ls8c_ard_3-1-0_093087_2020-03-10_final
2020-03-10 09:40:20	ga_ls8c_ard_3-1-0_093088_2020-03-10_final
2020-03-11 10:15:12	ga_ls8c_ard_3-1-0_100067_2020-03-11_final
2020-03-11 10:15:36	ga_ls8c_ard_3-1-0_100068_2020-03-11_final
2020-03-11 10:16:00	ga_ls8c_ard_3-1-0_100069_2020-03-11_final
2020-03-11 10:16:24	ga_ls8c_ard_3-1-0_100070_2020-03-11_final
2020-03-12 09:19:58	ga_ls8c_ard_3-1-0_091068_2020-03-11_final
2020-05-19 10:33:17	ga_ls8c_ard_3-1-0_103067_2020-05-19_final
2020-05-19 10:33:41	ga_ls8c_ard_3-1-0_103068_2020-05-19_final
2020-05-19 10:34:05	ga_ls8c_ard_3-1-0_103069_2020-05-19_final
2020-05-19 10:34:29	ga_ls8c_ard_3-1-0_103070_2020-05-19_final
2020-05-19 10:34:53	ga_ls8c_ard_3-1-0_103071_2020-05-19_final
2020-05-19 10:35:17	ga_ls8c_ard_3-1-0_103072_2020-05-19_final
2020-05-19 10:35:41	ga_ls8c_ard_3-1-0_103073_2020-05-19_final
2020-05-19 10:36:04	ga_ls8c_ard_3-1-0_103074_2020-05-19_final
2020-05-19 10:36:28	ga_ls8c_ard_3-1-0_103075_2020-05-19_final
2020-05-19 10:36:52	ga_ls8c_ard_3-1-0_103076_2020-05-19_final
2020-05-19 10:37:16	ga_ls8c_ard_3-1-0_103077_2020-05-19_final
2020-05-19 10:37:40	ga_ls8c_ard_3-1-0_103078_2020-05-19_final
2020-05-19 10:38:04	ga_ls8c_ard_3-1-0_103079_2020-05-19_final
2020-05-19 10:38:28	ga_ls8c_ard_3-1-0_103080_2020-05-19_final
2020-05-19 10:38:52	ga_ls8c_ard_3-1-0_103081_2020-05-19_final
2020-05-19 10:39:16	ga_ls8c_ard_3-1-0_103082_2020-05-19_final
2020-05-19 10:39:40	ga_ls8c_ard_3-1-0_103083_2020-05-19_final
2020-05-20 09:37:40	ga_ls8c_ard_3-1-0_094067_2020-05-20_final
2020-05-20 09:39:16	ga_ls8c_ard_3-1-0_094071_2020-05-20_final
2020-05-20 09:39:40	ga_ls8c_ard_3-1-0_094072_2020-05-20_final
2020-05-20 09:40:03	ga_ls8c_ard_3-1-0_094073_2020-05-20_final
2020-05-20 09:40:27	ga_ls8c_ard_3-1-0_094074_2020-05-20_final
2020-05-20 09:40:51	ga_ls8c_ard_3-1-0_094075_2020-05-20_final
2020-05-20 09:41:15	ga_ls8c_ard_3-1-0_094076_2020-05-20_final
2020-05-20 09:41:39	ga_ls8c_ard_3-1-0_094077_2020-05-20_final
2020-05-20 09:42:03	ga_ls8c_ard_3-1-0_094078_2020-05-20_final
2020-05-20 09:42:27	ga_ls8c_ard_3-1-0_094079_2020-05-20_final
2020-05-20 09:42:51	ga_ls8c_ard_3-1-0_094080_2020-05-20_final
2020-05-20 09:43:15	ga_ls8c_ard_3-1-0_094081_2020-05-20_final
2020-05-20 09:43:39	ga_ls8c_ard_3-1-0_094082_2020-05-20_final
2020-05-20 09:44:03	ga_ls8c_ard_3-1-0_094083_2020-05-20_final
2020-05-20 09:44:27	ga_ls8c_ard_3-1-0_094084_2020-05-20_final
2020-05-20 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-20_final
2020-05-20 09:45:15	ga_ls8c_ard_3-1-0_094086_2020-05-20_final
2020-05-20 09:45:39	ga_ls8c_ard_3-1-0_094087_2020-05-20_final
2020-05-20 09:46:03	ga_ls8c_ard_3-1-0_094088_2020-05-20_final
2020-05-20 11:16:33	ga_ls8c_ard_3-1-0_110067_2020-05-20_final
2020-05-20 11:16:57	ga_ls8c_ard_3-1-0_110068_2020-05-20_final
2020-05-20 11:17:21	ga_ls8c_ard_3-1-0_110069_2020-05-20_final
2020-05-20 11:17:45	ga_ls8c_ard_3-1-0_110070_2020-05-20_final
2020-05-20 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-20_final
2020-05-20 11:18:33	ga_ls8c_ard_3-1-0_110072_2020-05-20_final
2020-05-20 11:18:56	ga_ls8c_ard_3-1-0_110073_2020-05-20_final
2020-05-20 11:19:20	ga_ls8c_ard_3-1-0_110074_2020-05-20_final
2020-05-20 11:19:44	ga_ls8c_ard_3-1-0_110075_2020-05-20_final
2020-05-20 11:20:08	ga_ls8c_ard_3-1-0_110076_2020-05-20_final
2020-05-20 11:20:32	ga_ls8c_ard_3-1-0_110077_2020-05-20_final
2020-05-20 11:20:56	ga_ls8c_ard_3-1-0_110078_2020-05-20_final
2020-05-20 11:21:20	ga_ls8c_ard_3-1-0_110079_2020-05-20_final
2020-05-20 11:21:44	ga_ls8c_ard_3-1-0_110080_2020-05-20_final
2020-05-20 11:22:08	ga_ls8c_ard_3-1-0_110081_2020-05-20_final
2020-05-20 11:22:32	ga_ls8c_ard_3-1-0_110082_2020-05-20_final
2020-05-20 11:22:56	ga_ls8c_ard_3-1-0_110083_2020-05-20_final
2020-05-20 11:23:20	ga_ls8c_ard_3-1-0_110084_2020-05-20_final
2020-05-20 11:23:44	ga_ls8c_ard_3-1-0_110085_2020-05-20_final
2020-05-21 08:48:02	ga_ls8c_ard_3-2-1_085082_2020-05-20_final
2020-05-21 10:20:56	ga_ls8c_ard_3-1-0_101067_2020-05-21_final
2020-05-21 10:21:20	ga_ls8c_ard_3-1-0_101068_2020-05-21_final
2020-05-21 10:21:44	ga_ls8c_ard_3-1-0_101069_2020-05-21_final
2020-05-21 10:22:08	ga_ls8c_ard_3-1-0_101070_2020-05-21_final
2020-05-21 10:22:31	ga_ls8c_ard_3-1-0_101071_2020-05-21_final
2020-05-21 10:22:55	ga_ls8c_ard_3-1-0_101072_2020-05-21_final
2020-05-21 10:23:19	ga_ls8c_ard_3-1-0_101073_2020-05-21_final
2020-05-21 10:23:43	ga_ls8c_ard_3-1-0_101074_2020-05-21_final
2020-05-21 10:24:07	ga_ls8c_ard_3-1-0_101075_2020-05-21_final
2020-05-21 10:24:31	ga_ls8c_ard_3-1-0_101076_2020-05-21_final
2020-05-21 10:24:55	ga_ls8c_ard_3-1-0_101077_2020-05-21_final
2020-05-21 10:25:19	ga_ls8c_ard_3-1-0_101078_2020-05-21_final
2020-05-21 10:25:43	ga_ls8c_ard_3-1-0_101079_2020-05-21_final
2020-05-21 10:26:07	ga_ls8c_ard_3-1-0_101080_2020-05-21_final
2020-05-21 10:26:31	ga_ls8c_ard_3-1-0_101081_2020-05-21_final
2020-05-21 10:26:55	ga_ls8c_ard_3-1-0_101082_2020-05-21_final
2020-05-21 10:27:19	ga_ls8c_ard_3-1-0_101083_2020-05-21_final
2020-05-21 10:27:43	ga_ls8c_ard_3-1-0_101084_2020-05-21_final
2020-05-22 09:25:19	ga_ls8c_ard_3-1-0_092067_2020-05-21_final

Return to ga_ls8c_ard_3 across 2020 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

2020

All months