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
2020-10-13 09:33:23	ga_ls8c_ard_3-1-0_092085_2020-10-13_final
2020-10-13 09:34:35	ga_ls8c_ard_3-1-0_092088_2020-10-13_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
2020-10-16 09:58:42	ga_ls8c_ard_3-1-0_097071_2020-10-16_final
2020-10-16 10:00:42	ga_ls8c_ard_3-1-0_097076_2020-10-16_final
2020-10-16 10:01:06	ga_ls8c_ard_3-1-0_097077_2020-10-16_final
2020-10-16 10:01:30	ga_ls8c_ard_3-1-0_097078_2020-10-16_final
2020-10-16 10:03:05	ga_ls8c_ard_3-1-0_097082_2020-10-16_final
2020-10-16 10:03:29	ga_ls8c_ard_3-1-0_097083_2020-10-16_final
2020-10-16 10:03:53	ga_ls8c_ard_3-1-0_097084_2020-10-16_final
2020-10-16 11:41:35	ga_ls8c_ard_3-1-0_113081_2020-10-16_final
2020-10-18 09:49:56	ga_ls8c_ard_3-1-0_095080_2020-10-18_final
2020-10-20 09:32:23	ga_ls8c_ard_3-1-0_093067_2020-10-20_final
2020-10-20 09:36:22	ga_ls8c_ard_3-1-0_093077_2020-10-20_final
2020-10-20 09:36:46	ga_ls8c_ard_3-1-0_093078_2020-10-20_final
2020-10-20 09:37:10	ga_ls8c_ard_3-1-0_093079_2020-10-20_final
2020-10-20 09:37:34	ga_ls8c_ard_3-1-0_093080_2020-10-20_final
2020-10-22 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-10-21_final
2020-10-22 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-10-21_final
2020-10-23 10:03:17	ga_ls8c_ard_3-1-0_098067_2020-10-23_final
2020-10-23 10:03:41	ga_ls8c_ard_3-1-0_098068_2020-10-23_final
2020-10-23 10:04:05	ga_ls8c_ard_3-1-0_098069_2020-10-23_final
2020-10-23 10:04:53	ga_ls8c_ard_3-1-0_098071_2020-10-23_final
2020-10-23 10:05:17	ga_ls8c_ard_3-1-0_098072_2020-10-23_final
2020-10-23 10:05:41	ga_ls8c_ard_3-1-0_098073_2020-10-23_final
2020-10-23 10:06:05	ga_ls8c_ard_3-1-0_098074_2020-10-23_final
2020-10-23 10:06:52	ga_ls8c_ard_3-1-0_098076_2020-10-23_final
2020-10-24 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-23_final
2020-10-25 09:50:55	ga_ls8c_ard_3-1-0_096067_2020-10-25_final
2020-10-25 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-10-25_final
2020-10-25 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-25_final
2020-10-25 09:52:31	ga_ls8c_ard_3-1-0_096071_2020-10-25_final
2020-10-25 09:52:55	ga_ls8c_ard_3-1-0_096072_2020-10-25_final
2020-10-25 09:53:43	ga_ls8c_ard_3-1-0_096074_2020-10-25_final
2020-10-25 09:54:07	ga_ls8c_ard_3-1-0_096075_2020-10-25_final
2020-10-25 09:54:31	ga_ls8c_ard_3-1-0_096076_2020-10-25_final
2020-10-25 09:54:55	ga_ls8c_ard_3-1-0_096077_2020-10-25_final
2020-10-25 09:55:19	ga_ls8c_ard_3-1-0_096078_2020-10-25_final
2020-10-25 09:55:42	ga_ls8c_ard_3-1-0_096079_2020-10-25_final
2020-10-25 09:56:54	ga_ls8c_ard_3-1-0_096082_2020-10-25_final
2020-10-25 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-10-25_final
2020-10-25 09:58:54	ga_ls8c_ard_3-1-0_096087_2020-10-25_final
2020-10-27 09:38:33	ga_ls8c_ard_3-1-0_094067_2020-10-27_final
2020-10-27 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-27_final
2020-10-27 09:40:33	ga_ls8c_ard_3-1-0_094072_2020-10-27_final
2020-10-27 09:40:57	ga_ls8c_ard_3-1-0_094073_2020-10-27_final
2020-10-27 09:41:45	ga_ls8c_ard_3-1-0_094075_2020-10-27_final
2020-10-27 09:42:33	ga_ls8c_ard_3-1-0_094077_2020-10-27_final
2020-10-27 09:42:57	ga_ls8c_ard_3-1-0_094078_2020-10-27_final
2020-10-27 09:43:21	ga_ls8c_ard_3-1-0_094079_2020-10-27_final
2020-10-29 09:33:22	ga_ls8c_ard_3-1-0_092085_2020-10-29_final
2020-10-29 09:34:34	ga_ls8c_ard_3-1-0_092088_2020-10-29_final
2020-10-29 09:34:58	ga_ls8c_ard_3-1-0_092089_2020-10-29_final
2020-10-29 09:35:22	ga_ls8c_ard_3-1-0_092090_2020-10-29_final
2020-10-30 10:11:27	ga_ls8c_ard_3-1-0_099072_2020-10-30_final
2020-10-30 10:11:51	ga_ls8c_ard_3-1-0_099073_2020-10-30_final
2020-10-30 10:12:15	ga_ls8c_ard_3-1-0_099074_2020-10-30_final
2020-10-30 10:12:39	ga_ls8c_ard_3-1-0_099075_2020-10-30_final
2020-10-30 10:13:02	ga_ls8c_ard_3-1-0_099076_2020-10-30_final
2020-10-30 10:13:26	ga_ls8c_ard_3-1-0_099077_2020-10-30_final
2020-10-30 10:13:50	ga_ls8c_ard_3-1-0_099078_2020-10-30_final
2020-10-30 10:14:14	ga_ls8c_ard_3-1-0_099079_2020-10-30_final
2020-10-31 09:16:37	ga_ls8c_ard_3-1-0_090074_2020-10-30_final
2020-10-31 09:17:01	ga_ls8c_ard_3-1-0_090075_2020-10-30_final
2020-10-31 09:17:25	ga_ls8c_ard_3-1-0_090076_2020-10-30_final
2020-10-31 09:17:49	ga_ls8c_ard_3-1-0_090077_2020-10-30_final
2020-10-31 09:18:13	ga_ls8c_ard_3-1-0_090078_2020-10-30_final
2020-10-31 09:18:37	ga_ls8c_ard_3-1-0_090079_2020-10-30_final
2020-10-31 09:19:01	ga_ls8c_ard_3-1-0_090080_2020-10-30_final
2020-10-31 09:19:25	ga_ls8c_ard_3-1-0_090081_2020-10-30_final
2020-10-31 09:19:49	ga_ls8c_ard_3-1-0_090082_2020-10-30_final
2020-10-31 09:20:13	ga_ls8c_ard_3-1-0_090083_2020-10-30_final
2020-10-31 09:20:37	ga_ls8c_ard_3-1-0_090084_2020-10-30_final
2020-10-31 09:21:25	ga_ls8c_ard_3-1-0_090086_2020-10-30_final
2020-10-31 09:21:48	ga_ls8c_ard_3-1-0_090087_2020-10-30_final
2020-10-31 09:22:12	ga_ls8c_ard_3-1-0_090088_2020-10-30_final
2020-10-31 09:22:36	ga_ls8c_ard_3-1-0_090089_2020-10-30_final
2020-10-31 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-10-30_final
2020-10-31 09:23:24	ga_ls8c_ard_3-1-0_090091_2020-10-30_final
2020-11-10 09:50:52	ga_ls8c_ard_3-1-0_096067_2020-11-10_final
2020-11-10 09:51:16	ga_ls8c_ard_3-1-0_096068_2020-11-10_final
2020-11-10 09:51:40	ga_ls8c_ard_3-1-0_096069_2020-11-10_final
2020-11-10 09:52:04	ga_ls8c_ard_3-1-0_096070_2020-11-10_final
2020-11-10 09:52:28	ga_ls8c_ard_3-1-0_096071_2020-11-10_final
2020-11-10 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-11-10_final
2020-11-10 09:53:16	ga_ls8c_ard_3-1-0_096073_2020-11-10_final
2020-11-10 09:53:40	ga_ls8c_ard_3-1-0_096074_2020-11-10_final
2020-11-10 09:54:04	ga_ls8c_ard_3-1-0_096075_2020-11-10_final
2020-11-10 09:54:28	ga_ls8c_ard_3-1-0_096076_2020-11-10_final
2020-11-10 09:54:52	ga_ls8c_ard_3-1-0_096077_2020-11-10_final
2020-11-10 09:55:16	ga_ls8c_ard_3-1-0_096078_2020-11-10_final
2020-11-10 09:55:39	ga_ls8c_ard_3-1-0_096079_2020-11-10_final
2020-11-10 09:56:03	ga_ls8c_ard_3-1-0_096080_2020-11-10_final
2020-11-10 09:56:27	ga_ls8c_ard_3-1-0_096081_2020-11-10_final
2020-11-10 09:56:51	ga_ls8c_ard_3-1-0_096082_2020-11-10_final
2020-11-10 09:57:15	ga_ls8c_ard_3-1-0_096083_2020-11-10_final
2020-11-10 09:57:39	ga_ls8c_ard_3-1-0_096084_2020-11-10_final
2020-11-10 09:58:03	ga_ls8c_ard_3-1-0_096085_2020-11-10_final
2020-11-10 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-11-10_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