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
2020-06-28 09:46:10	ga_ls8c_ard_3-1-0_095072_2020-06-28_final
2020-06-28 09:46:33	ga_ls8c_ard_3-1-0_095073_2020-06-28_final
2020-06-28 09:46:57	ga_ls8c_ard_3-1-0_095074_2020-06-28_final
2020-06-28 09:47:21	ga_ls8c_ard_3-1-0_095075_2020-06-28_final
2020-06-28 09:47:45	ga_ls8c_ard_3-1-0_095076_2020-06-28_final
2020-06-28 09:48:09	ga_ls8c_ard_3-1-0_095077_2020-06-28_final
2020-06-28 09:48:33	ga_ls8c_ard_3-1-0_095078_2020-06-28_final
2020-06-28 09:48:57	ga_ls8c_ard_3-1-0_095079_2020-06-28_final
2020-06-28 09:49:21	ga_ls8c_ard_3-1-0_095080_2020-06-28_final
2020-06-28 09:49:45	ga_ls8c_ard_3-1-0_095081_2020-06-28_final
2020-06-28 09:50:09	ga_ls8c_ard_3-1-0_095082_2020-06-28_final
2020-06-28 09:50:33	ga_ls8c_ard_3-1-0_095083_2020-06-28_final
2020-06-28 09:50:57	ga_ls8c_ard_3-1-0_095084_2020-06-28_final
2020-06-28 09:51:21	ga_ls8c_ard_3-1-0_095085_2020-06-28_final
2020-06-28 09:51:45	ga_ls8c_ard_3-1-0_095086_2020-06-28_final
2020-06-28 09:52:09	ga_ls8c_ard_3-1-0_095087_2020-06-28_final
2020-07-05 09:51:36	ga_ls8c_ard_3-1-0_096070_2020-07-05_final
2020-07-05 09:52:00	ga_ls8c_ard_3-1-0_096071_2020-07-05_final
2020-07-05 09:52:23	ga_ls8c_ard_3-1-0_096072_2020-07-05_final
2020-07-05 09:53:11	ga_ls8c_ard_3-1-0_096074_2020-07-05_final
2020-07-05 09:53:35	ga_ls8c_ard_3-1-0_096075_2020-07-05_final
2020-07-05 09:53:59	ga_ls8c_ard_3-1-0_096076_2020-07-05_final
2020-07-05 09:54:23	ga_ls8c_ard_3-1-0_096077_2020-07-05_final
2020-07-05 09:54:47	ga_ls8c_ard_3-1-0_096078_2020-07-05_final
2020-07-05 09:55:11	ga_ls8c_ard_3-1-0_096079_2020-07-05_final
2020-07-05 09:55:35	ga_ls8c_ard_3-1-0_096080_2020-07-05_final
2020-07-05 09:55:59	ga_ls8c_ard_3-1-0_096081_2020-07-05_final
2020-07-05 09:57:11	ga_ls8c_ard_3-1-0_096084_2020-07-05_final
2020-07-05 09:57:35	ga_ls8c_ard_3-1-0_096085_2020-07-05_final
2020-07-14 09:44:16	ga_ls8c_ard_3-1-0_095067_2020-07-14_final
2020-07-14 09:46:40	ga_ls8c_ard_3-1-0_095073_2020-07-14_final
2020-07-14 09:47:04	ga_ls8c_ard_3-1-0_095074_2020-07-14_final
2020-07-14 09:47:28	ga_ls8c_ard_3-1-0_095075_2020-07-14_final
2020-07-14 09:47:52	ga_ls8c_ard_3-1-0_095076_2020-07-14_final
2020-07-14 09:48:16	ga_ls8c_ard_3-1-0_095077_2020-07-14_final
2020-07-14 09:48:40	ga_ls8c_ard_3-1-0_095078_2020-07-14_final
2020-07-14 09:49:04	ga_ls8c_ard_3-1-0_095079_2020-07-14_final
2020-07-14 09:49:28	ga_ls8c_ard_3-1-0_095080_2020-07-14_final
2020-07-14 09:49:52	ga_ls8c_ard_3-1-0_095081_2020-07-14_final
2020-07-14 09:50:15	ga_ls8c_ard_3-1-0_095082_2020-07-14_final
2020-07-14 09:50:39	ga_ls8c_ard_3-1-0_095083_2020-07-14_final
2020-07-14 09:51:03	ga_ls8c_ard_3-1-0_095084_2020-07-14_final
2020-07-14 09:51:27	ga_ls8c_ard_3-1-0_095085_2020-07-14_final
2020-07-14 09:51:51	ga_ls8c_ard_3-1-0_095086_2020-07-14_final
2020-07-14 09:52:15	ga_ls8c_ard_3-1-0_095087_2020-07-14_final
2020-07-21 09:51:41	ga_ls8c_ard_3-1-0_096070_2020-07-21_final
2020-07-21 09:52:05	ga_ls8c_ard_3-1-0_096071_2020-07-21_final
2020-07-21 09:52:29	ga_ls8c_ard_3-1-0_096072_2020-07-21_final
2020-07-21 09:52:53	ga_ls8c_ard_3-1-0_096073_2020-07-21_final
2020-07-21 09:53:17	ga_ls8c_ard_3-1-0_096074_2020-07-21_final
2020-07-21 09:53:41	ga_ls8c_ard_3-1-0_096075_2020-07-21_final
2020-07-21 09:54:05	ga_ls8c_ard_3-1-0_096076_2020-07-21_final
2020-07-21 09:54:29	ga_ls8c_ard_3-1-0_096077_2020-07-21_final
2020-07-21 09:54:53	ga_ls8c_ard_3-1-0_096078_2020-07-21_final
2020-07-21 09:55:17	ga_ls8c_ard_3-1-0_096079_2020-07-21_final
2020-07-21 09:55:41	ga_ls8c_ard_3-1-0_096080_2020-07-21_final
2020-07-21 09:56:05	ga_ls8c_ard_3-1-0_096081_2020-07-21_final
2020-07-21 09:56:29	ga_ls8c_ard_3-1-0_096082_2020-07-21_final
2020-07-21 09:56:52	ga_ls8c_ard_3-1-0_096083_2020-07-21_final
2020-07-21 09:57:16	ga_ls8c_ard_3-1-0_096084_2020-07-21_final
2020-07-21 09:57:40	ga_ls8c_ard_3-1-0_096085_2020-07-21_final
2020-07-21 09:58:04	ga_ls8c_ard_3-1-0_096086_2020-07-21_final
2020-07-21 09:58:28	ga_ls8c_ard_3-1-0_096087_2020-07-21_final
2020-07-28 09:56:42	ga_ls8c_ard_3-1-0_097067_2020-07-28_final
2020-07-28 09:57:06	ga_ls8c_ard_3-1-0_097068_2020-07-28_final
2020-07-30 09:44:21	ga_ls8c_ard_3-1-0_095067_2020-07-30_final
2020-07-30 09:45:33	ga_ls8c_ard_3-1-0_095070_2020-07-30_final
2020-07-30 09:45:57	ga_ls8c_ard_3-1-0_095071_2020-07-30_final
2020-07-30 09:46:21	ga_ls8c_ard_3-1-0_095072_2020-07-30_final
2020-07-30 09:46:45	ga_ls8c_ard_3-1-0_095073_2020-07-30_final
2020-07-30 09:47:08	ga_ls8c_ard_3-1-0_095074_2020-07-30_final
2020-07-30 09:47:32	ga_ls8c_ard_3-1-0_095075_2020-07-30_final
2020-07-30 09:47:56	ga_ls8c_ard_3-1-0_095076_2020-07-30_final
2020-07-30 09:48:20	ga_ls8c_ard_3-1-0_095077_2020-07-30_final
2020-07-30 09:48:44	ga_ls8c_ard_3-1-0_095078_2020-07-30_final
2020-07-30 09:49:08	ga_ls8c_ard_3-1-0_095079_2020-07-30_final
2020-07-30 09:49:32	ga_ls8c_ard_3-1-0_095080_2020-07-30_final
2020-07-30 09:49:56	ga_ls8c_ard_3-1-0_095081_2020-07-30_final
2020-07-30 09:50:20	ga_ls8c_ard_3-1-0_095082_2020-07-30_final
2020-07-30 09:50:44	ga_ls8c_ard_3-1-0_095083_2020-07-30_final
2020-07-30 09:51:08	ga_ls8c_ard_3-1-0_095084_2020-07-30_final
2020-07-30 09:51:32	ga_ls8c_ard_3-1-0_095085_2020-07-30_final
2020-07-30 09:51:56	ga_ls8c_ard_3-1-0_095086_2020-07-30_final
2020-07-30 09:52:20	ga_ls8c_ard_3-1-0_095087_2020-07-30_final
2020-07-30 09:52:44	ga_ls8c_ard_3-1-0_095088_2020-07-30_final
2020-08-22 09:52:39	ga_ls8c_ard_3-1-0_096072_2020-08-22_final
2020-08-22 09:53:03	ga_ls8c_ard_3-1-0_096073_2020-08-22_final
2020-08-22 09:53:27	ga_ls8c_ard_3-1-0_096074_2020-08-22_final
2020-08-22 09:53:51	ga_ls8c_ard_3-1-0_096075_2020-08-22_final
2020-08-22 09:54:15	ga_ls8c_ard_3-1-0_096076_2020-08-22_final
2020-08-22 09:54:39	ga_ls8c_ard_3-1-0_096077_2020-08-22_final
2020-08-22 09:55:03	ga_ls8c_ard_3-1-0_096078_2020-08-22_final
2020-08-22 09:55:27	ga_ls8c_ard_3-1-0_096079_2020-08-22_final
2020-08-22 09:55:51	ga_ls8c_ard_3-1-0_096080_2020-08-22_final
2020-08-22 09:56:15	ga_ls8c_ard_3-1-0_096081_2020-08-22_final
2020-08-22 09:56:39	ga_ls8c_ard_3-1-0_096082_2020-08-22_final
2020-08-22 09:57:03	ga_ls8c_ard_3-1-0_096083_2020-08-22_final
2020-08-22 09:57:27	ga_ls8c_ard_3-1-0_096084_2020-08-22_final
2020-08-22 09:57:51	ga_ls8c_ard_3-1-0_096085_2020-08-22_final
2020-08-22 09:58:15	ga_ls8c_ard_3-1-0_096086_2020-08-22_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