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
2017-07-29 09:53:19	ga_ls8c_ard_3-0-0_096074_2017-07-29_final
2017-07-29 09:53:43	ga_ls8c_ard_3-0-0_096075_2017-07-29_final
2017-07-29 09:54:07	ga_ls8c_ard_3-0-0_096076_2017-07-29_final
2017-07-29 09:54:31	ga_ls8c_ard_3-0-0_096077_2017-07-29_final
2017-07-29 09:54:55	ga_ls8c_ard_3-0-0_096078_2017-07-29_final
2017-07-29 09:55:19	ga_ls8c_ard_3-0-0_096079_2017-07-29_final
2017-07-29 09:55:43	ga_ls8c_ard_3-0-0_096080_2017-07-29_final
2017-07-31 09:44:34	ga_ls8c_ard_3-0-0_094083_2017-07-31_final
2017-07-31 09:44:58	ga_ls8c_ard_3-0-0_094084_2017-07-31_final
2017-07-31 09:45:22	ga_ls8c_ard_3-0-0_094085_2017-07-31_final
2017-07-31 09:45:46	ga_ls8c_ard_3-0-0_094086_2017-07-31_final
2017-07-31 09:46:10	ga_ls8c_ard_3-0-0_094087_2017-07-31_final
2017-07-31 09:46:34	ga_ls8c_ard_3-0-0_094088_2017-07-31_final
2017-08-14 09:53:25	ga_ls8c_ard_3-0-0_096074_2017-08-14_final
2017-08-14 09:53:49	ga_ls8c_ard_3-0-0_096075_2017-08-14_final
2017-08-14 09:54:13	ga_ls8c_ard_3-0-0_096076_2017-08-14_final
2017-08-14 09:54:37	ga_ls8c_ard_3-0-0_096077_2017-08-14_final
2017-08-14 09:55:01	ga_ls8c_ard_3-0-0_096078_2017-08-14_final
2017-08-14 09:55:25	ga_ls8c_ard_3-0-0_096079_2017-08-14_final
2017-08-14 09:55:49	ga_ls8c_ard_3-0-0_096080_2017-08-14_final
2017-08-16 09:44:16	ga_ls8c_ard_3-0-0_094082_2017-08-16_final
2017-08-16 09:44:40	ga_ls8c_ard_3-0-0_094083_2017-08-16_final
2017-08-16 09:45:04	ga_ls8c_ard_3-0-0_094084_2017-08-16_final
2017-08-16 09:45:28	ga_ls8c_ard_3-0-0_094085_2017-08-16_final
2017-08-16 09:45:52	ga_ls8c_ard_3-0-0_094086_2017-08-16_final
2017-08-16 09:46:16	ga_ls8c_ard_3-0-0_094087_2017-08-16_final
2017-08-16 09:46:40	ga_ls8c_ard_3-0-0_094088_2017-08-16_final
2017-09-17 09:44:44	ga_ls8c_ard_3-0-0_094083_2017-09-17_final
2017-09-17 09:45:08	ga_ls8c_ard_3-0-0_094084_2017-09-17_final
2017-09-17 09:45:32	ga_ls8c_ard_3-0-0_094085_2017-09-17_final
2017-09-17 09:45:56	ga_ls8c_ard_3-0-0_094086_2017-09-17_final
2017-09-17 09:46:20	ga_ls8c_ard_3-0-0_094087_2017-09-17_final
2017-09-17 09:46:44	ga_ls8c_ard_3-0-0_094088_2017-09-17_final
2017-09-19 09:34:48	ga_ls8c_ard_3-0-0_092089_2017-09-19_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-10-10 09:49:04	ga_ls8c_ard_3-0-0_095078_2017-10-10_final
2017-10-10 09:49:28	ga_ls8c_ard_3-0-0_095079_2017-10-10_final
2017-10-10 09:49:52	ga_ls8c_ard_3-0-0_095080_2017-10-10_final
2017-10-10 09:50:16	ga_ls8c_ard_3-0-0_095081_2017-10-10_final
2017-10-10 09:50:40	ga_ls8c_ard_3-0-0_095082_2017-10-10_final
2017-10-12 09:39:55	ga_ls8c_ard_3-0-0_093086_2017-10-12_final
2017-10-12 09:40:19	ga_ls8c_ard_3-0-0_093087_2017-10-12_final
2017-10-12 09:40:43	ga_ls8c_ard_3-0-0_093088_2017-10-12_final
2017-10-24 09:58:16	ga_ls8c_ard_3-0-0_097070_2017-10-24_final
2017-10-24 09:58:40	ga_ls8c_ard_3-0-0_097071_2017-10-24_final
2017-10-24 09:59:04	ga_ls8c_ard_3-0-0_097072_2017-10-24_final
2017-10-24 09:59:28	ga_ls8c_ard_3-0-0_097073_2017-10-24_final
2017-10-24 09:59:52	ga_ls8c_ard_3-0-0_097074_2017-10-24_final
2017-10-24 10:00:16	ga_ls8c_ard_3-0-0_097075_2017-10-24_final
2017-11-22 09:34:51	ga_ls8c_ard_3-0-0_092089_2017-11-22_final
2017-11-22 09:35:15	ga_ls8c_ard_3-0-0_092090_2017-11-22_final
2017-12-27 09:58:09	ga_ls8c_ard_3-0-0_097070_2017-12-27_final
2017-12-27 09:58:33	ga_ls8c_ard_3-0-0_097071_2017-12-27_final
2017-12-27 09:58:57	ga_ls8c_ard_3-0-0_097072_2017-12-27_final
2017-12-27 09:59:20	ga_ls8c_ard_3-0-0_097073_2017-12-27_final
2017-12-27 09:59:44	ga_ls8c_ard_3-0-0_097074_2017-12-27_final
2017-12-27 10:00:08	ga_ls8c_ard_3-0-0_097075_2017-12-27_final
2018-01-09 09:34:45	ga_ls8c_ard_3-0-0_092089_2018-01-09_final
2018-01-09 09:35:09	ga_ls8c_ard_3-0-0_092090_2018-01-09_final
2018-09-18 09:53:01	ga_ls8c_ard_3-0-0_096074_2018-09-18_final
2018-09-18 09:53:25	ga_ls8c_ard_3-0-0_096075_2018-09-18_final
2018-09-18 09:53:49	ga_ls8c_ard_3-0-0_096076_2018-09-18_final
2018-09-18 09:54:13	ga_ls8c_ard_3-0-0_096077_2018-09-18_final
2018-09-18 09:54:37	ga_ls8c_ard_3-0-0_096078_2018-09-18_final
2018-09-18 09:55:01	ga_ls8c_ard_3-0-0_096079_2018-09-18_final
2018-09-18 09:55:24	ga_ls8c_ard_3-0-0_096080_2018-09-18_final
2018-09-20 09:44:15	ga_ls8c_ard_3-0-0_094083_2018-09-20_final
2018-09-20 09:44:39	ga_ls8c_ard_3-0-0_094084_2018-09-20_final
2018-09-20 09:45:03	ga_ls8c_ard_3-0-0_094085_2018-09-20_final
2018-09-20 09:45:27	ga_ls8c_ard_3-0-0_094086_2018-09-20_final
2018-09-20 09:45:51	ga_ls8c_ard_3-0-0_094087_2018-09-20_final
2018-09-20 09:46:15	ga_ls8c_ard_3-0-0_094088_2018-09-20_final
2018-10-22 09:44:05	ga_ls8c_ard_3-0-0_094082_2018-10-22_final
2018-10-22 09:44:29	ga_ls8c_ard_3-0-0_094083_2018-10-22_final
2018-10-22 09:44:53	ga_ls8c_ard_3-0-0_094084_2018-10-22_final
2018-10-22 09:45:17	ga_ls8c_ard_3-0-0_094085_2018-10-22_final
2018-10-22 09:45:41	ga_ls8c_ard_3-0-0_094086_2018-10-22_final
2018-10-22 09:46:05	ga_ls8c_ard_3-0-0_094087_2018-10-22_final
2018-10-22 09:46:29	ga_ls8c_ard_3-0-0_094088_2018-10-22_final
2018-12-07 09:53:17	ga_ls8c_ard_3-0-0_096074_2018-12-07_final
2018-12-07 09:53:41	ga_ls8c_ard_3-0-0_096075_2018-12-07_final
2018-12-07 09:54:04	ga_ls8c_ard_3-0-0_096076_2018-12-07_final
2018-12-07 09:54:28	ga_ls8c_ard_3-0-0_096077_2018-12-07_final
2018-12-07 09:54:52	ga_ls8c_ard_3-0-0_096078_2018-12-07_final
2018-12-07 09:55:16	ga_ls8c_ard_3-0-0_096079_2018-12-07_final
2018-12-07 09:55:40	ga_ls8c_ard_3-0-0_096080_2018-12-07_final
2018-12-09 09:44:30	ga_ls8c_ard_3-0-0_094083_2018-12-09_final
2018-12-09 09:44:54	ga_ls8c_ard_3-0-0_094084_2018-12-09_final
2018-12-09 09:45:18	ga_ls8c_ard_3-0-0_094085_2018-12-09_final
2018-12-09 09:45:42	ga_ls8c_ard_3-0-0_094086_2018-12-09_final
2018-12-09 09:46:06	ga_ls8c_ard_3-0-0_094087_2018-12-09_final
2018-12-09 09:46:30	ga_ls8c_ard_3-0-0_094088_2018-12-09_final
2018-12-16 09:49:04	ga_ls8c_ard_3-0-0_095079_2018-12-16_final
2018-12-16 09:49:28	ga_ls8c_ard_3-0-0_095080_2018-12-16_final
2018-12-16 09:49:52	ga_ls8c_ard_3-0-0_095081_2018-12-16_final
2018-12-16 09:50:16	ga_ls8c_ard_3-0-0_095082_2018-12-16_final
2018-12-16 09:50:40	ga_ls8c_ard_3-0-0_095083_2018-12-16_final
2018-12-16 09:51:04	ga_ls8c_ard_3-0-0_095084_2018-12-16_final
2018-12-18 09:39:30	ga_ls8c_ard_3-0-0_093086_2018-12-18_final
2018-12-18 09:39:54	ga_ls8c_ard_3-0-0_093087_2018-12-18_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