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
2020-09-17 10:27:56	ga_ls8c_ard_3-1-0_102067_2020-09-17_final
2020-09-17 10:28:19	ga_ls8c_ard_3-1-0_102068_2020-09-17_final
2020-09-17 10:28:43	ga_ls8c_ard_3-1-0_102069_2020-09-17_final
2020-09-17 10:29:07	ga_ls8c_ard_3-1-0_102070_2020-09-17_final
2020-09-17 10:34:19	ga_ls8c_ard_3-1-0_102083_2020-09-17_final
2020-09-18 09:32:19	ga_ls8c_ard_3-1-0_093067_2020-09-18_final
2020-09-18 09:32:42	ga_ls8c_ard_3-1-0_093068_2020-09-18_final
2020-09-18 09:35:30	ga_ls8c_ard_3-1-0_093075_2020-09-18_final
2020-09-18 09:35:54	ga_ls8c_ard_3-1-0_093076_2020-09-18_final
2020-09-18 09:36:18	ga_ls8c_ard_3-1-0_093077_2020-09-18_final
2020-09-18 09:36:42	ga_ls8c_ard_3-1-0_093078_2020-09-18_final
2020-09-18 09:37:06	ga_ls8c_ard_3-1-0_093079_2020-09-18_final
2020-09-18 09:37:30	ga_ls8c_ard_3-1-0_093080_2020-09-18_final
2020-09-18 09:38:42	ga_ls8c_ard_3-1-0_093083_2020-09-18_final
2020-09-18 09:39:06	ga_ls8c_ard_3-1-0_093084_2020-09-18_final
2020-09-18 09:39:29	ga_ls8c_ard_3-1-0_093085_2020-09-18_final
2020-09-18 09:39:53	ga_ls8c_ard_3-1-0_093086_2020-09-18_final
2020-09-18 11:11:12	ga_ls8c_ard_3-1-0_109067_2020-09-18_final
2020-09-18 11:11:35	ga_ls8c_ard_3-1-0_109068_2020-09-18_final
2020-09-18 11:12:47	ga_ls8c_ard_3-1-0_109071_2020-09-18_final
2020-09-18 11:17:11	ga_ls8c_ard_3-1-0_109082_2020-09-18_final
2020-09-19 10:15:35	ga_ls8c_ard_3-1-0_100067_2020-09-19_final
2020-09-19 10:18:22	ga_ls8c_ard_3-1-0_100074_2020-09-19_final
2020-09-19 10:19:10	ga_ls8c_ard_3-1-0_100076_2020-09-19_final
2020-09-19 10:19:34	ga_ls8c_ard_3-1-0_100077_2020-09-19_final
2020-09-19 10:19:58	ga_ls8c_ard_3-1-0_100078_2020-09-19_final
2020-09-20 10:58:50	ga_ls8c_ard_3-1-0_107067_2020-09-20_final
2020-09-21 10:04:25	ga_ls8c_ard_3-1-0_098070_2020-09-21_final
2020-09-21 10:06:01	ga_ls8c_ard_3-1-0_098074_2020-09-21_final
2020-09-21 10:07:13	ga_ls8c_ard_3-1-0_098077_2020-09-21_final
2020-09-21 10:08:01	ga_ls8c_ard_3-1-0_098079_2020-09-21_final
2020-09-21 10:08:25	ga_ls8c_ard_3-1-0_098080_2020-09-21_final
2020-09-21 10:10:24	ga_ls8c_ard_3-1-0_098085_2020-09-21_final
2020-09-21 11:42:07	ga_ls8c_ard_3-1-0_114067_2020-09-21_final
2020-09-21 11:44:54	ga_ls8c_ard_3-1-0_114074_2020-09-21_final
2020-09-21 11:45:18	ga_ls8c_ard_3-1-0_114075_2020-09-21_final
2020-09-21 11:45:42	ga_ls8c_ard_3-1-0_114076_2020-09-21_final
2020-09-21 11:46:06	ga_ls8c_ard_3-1-0_114077_2020-09-21_final
2020-09-21 11:46:30	ga_ls8c_ard_3-1-0_114078_2020-09-21_final
2020-09-21 11:46:54	ga_ls8c_ard_3-1-0_114079_2020-09-21_final
2020-09-21 11:47:18	ga_ls8c_ard_3-1-0_114080_2020-09-21_final
2020-09-21 11:47:42	ga_ls8c_ard_3-1-0_114081_2020-09-21_final
2020-09-22 10:51:41	ga_ls8c_ard_3-1-0_105080_2020-09-22_final
2020-09-22 10:52:28	ga_ls8c_ard_3-1-0_105082_2020-09-22_final
2020-09-22 10:52:52	ga_ls8c_ard_3-1-0_105083_2020-09-22_final
2020-09-23 09:52:04	ga_ls8c_ard_3-1-0_096070_2020-09-23_final
2020-09-23 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-09-23_final
2020-09-23 09:56:27	ga_ls8c_ard_3-1-0_096081_2020-09-23_final
2020-09-23 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-09-23_final
2020-09-23 11:29:45	ga_ls8c_ard_3-1-0_112067_2020-09-23_final
2020-09-23 11:30:09	ga_ls8c_ard_3-1-0_112068_2020-09-23_final
2020-09-23 11:30:33	ga_ls8c_ard_3-1-0_112069_2020-09-23_final
2020-09-23 11:30:57	ga_ls8c_ard_3-1-0_112070_2020-09-23_final
2020-09-23 11:31:21	ga_ls8c_ard_3-1-0_112071_2020-09-23_final
2020-09-23 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-09-23_final
2020-09-23 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-09-23_final
2020-09-23 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-09-23_final
2020-09-23 11:32:57	ga_ls8c_ard_3-1-0_112075_2020-09-23_final
2020-09-23 11:33:21	ga_ls8c_ard_3-1-0_112076_2020-09-23_final
2020-09-23 11:33:45	ga_ls8c_ard_3-1-0_112077_2020-09-23_final
2020-09-23 11:34:09	ga_ls8c_ard_3-1-0_112078_2020-09-23_final
2020-09-23 11:34:33	ga_ls8c_ard_3-1-0_112079_2020-09-23_final
2020-09-23 11:34:57	ga_ls8c_ard_3-1-0_112080_2020-09-23_final
2020-09-23 11:35:21	ga_ls8c_ard_3-1-0_112081_2020-09-23_final
2020-09-23 11:35:45	ga_ls8c_ard_3-1-0_112082_2020-09-23_final
2020-09-23 11:36:08	ga_ls8c_ard_3-1-0_112083_2020-09-23_final
2020-09-23 11:36:32	ga_ls8c_ard_3-1-0_112084_2020-09-23_final
2020-09-23 11:36:56	ga_ls8c_ard_3-1-0_112085_2020-09-23_final
2020-09-24 10:34:56	ga_ls8c_ard_3-1-0_103069_2020-09-24_final
2020-09-24 10:35:20	ga_ls8c_ard_3-1-0_103070_2020-09-24_final
2020-09-24 10:35:44	ga_ls8c_ard_3-1-0_103071_2020-09-24_final
2020-09-24 10:36:56	ga_ls8c_ard_3-1-0_103074_2020-09-24_final
2020-09-24 10:38:08	ga_ls8c_ard_3-1-0_103077_2020-09-24_final
2020-09-24 10:38:32	ga_ls8c_ard_3-1-0_103078_2020-09-24_final
2020-09-24 10:38:56	ga_ls8c_ard_3-1-0_103079_2020-09-24_final
2020-09-24 10:40:07	ga_ls8c_ard_3-1-0_103082_2020-09-24_final
2020-09-25 09:40:31	ga_ls8c_ard_3-1-0_094072_2020-09-25_final
2020-09-25 09:42:55	ga_ls8c_ard_3-1-0_094078_2020-09-25_final
2020-09-25 09:44:54	ga_ls8c_ard_3-1-0_094083_2020-09-25_final
2020-09-25 09:45:18	ga_ls8c_ard_3-1-0_094084_2020-09-25_final
2020-09-25 09:46:06	ga_ls8c_ard_3-1-0_094086_2020-09-25_final
2020-09-25 09:46:54	ga_ls8c_ard_3-1-0_094088_2020-09-25_final
2020-09-25 11:17:24	ga_ls8c_ard_3-1-0_110067_2020-09-25_final
2020-09-25 11:19:00	ga_ls8c_ard_3-1-0_110071_2020-09-25_final
2020-09-25 11:19:48	ga_ls8c_ard_3-1-0_110073_2020-09-25_final
2020-09-25 11:20:12	ga_ls8c_ard_3-1-0_110074_2020-09-25_final
2020-09-25 11:22:59	ga_ls8c_ard_3-1-0_110081_2020-09-25_final
2020-09-25 11:24:11	ga_ls8c_ard_3-1-0_110084_2020-09-25_final
2020-09-25 11:24:35	ga_ls8c_ard_3-1-0_110085_2020-09-25_final
2020-09-26 10:24:35	ga_ls8c_ard_3-1-0_101074_2020-09-26_final
2020-09-26 10:26:10	ga_ls8c_ard_3-1-0_101078_2020-09-26_final
2020-09-26 10:26:34	ga_ls8c_ard_3-1-0_101079_2020-09-26_final
2020-09-26 10:27:46	ga_ls8c_ard_3-1-0_101082_2020-09-26_final
2020-09-26 10:28:10	ga_ls8c_ard_3-1-0_101083_2020-09-26_final
2020-09-27 09:33:45	ga_ls8c_ard_3-1-0_092086_2020-09-27_final
2020-09-27 11:05:27	ga_ls8c_ard_3-1-0_108068_2020-09-27_final
2020-09-27 11:06:39	ga_ls8c_ard_3-1-0_108071_2020-09-27_final
2020-09-27 11:07:51	ga_ls8c_ard_3-1-0_108074_2020-09-27_final
2020-09-27 11:09:50	ga_ls8c_ard_3-1-0_108079_2020-09-27_final
2020-09-27 11:11:26	ga_ls8c_ard_3-1-0_108083_2020-09-27_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