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
2020-08-09 10:21:52	ga_ls8c_ard_3-1-0_101068_2020-08-09_final
2020-08-09 10:23:27	ga_ls8c_ard_3-1-0_101072_2020-08-09_final
2020-08-09 10:24:15	ga_ls8c_ard_3-1-0_101074_2020-08-09_final
2020-08-09 10:25:51	ga_ls8c_ard_3-1-0_101078_2020-08-09_final
2020-08-09 10:27:27	ga_ls8c_ard_3-1-0_101082_2020-08-09_final
2020-08-09 10:27:51	ga_ls8c_ard_3-1-0_101083_2020-08-09_final
2020-08-12 10:55:58	ga_ls8c_ard_3-1-0_106076_2020-08-12_final
2020-08-14 10:40:02	ga_ls8c_ard_3-1-0_104067_2020-08-14_final
2020-08-14 10:41:37	ga_ls8c_ard_3-1-0_104071_2020-08-14_final
2020-08-14 10:43:13	ga_ls8c_ard_3-1-0_104075_2020-08-14_final
2020-08-14 10:43:37	ga_ls8c_ard_3-1-0_104076_2020-08-14_final
2020-08-14 10:44:49	ga_ls8c_ard_3-1-0_104079_2020-08-14_final
2020-08-14 10:45:13	ga_ls8c_ard_3-1-0_104080_2020-08-14_final
2020-08-14 10:45:37	ga_ls8c_ard_3-1-0_104081_2020-08-14_final
2020-08-14 10:46:01	ga_ls8c_ard_3-1-0_104082_2020-08-14_final
2020-08-15 09:49:36	ga_ls8c_ard_3-1-0_095080_2020-08-15_final
2020-08-15 09:50:00	ga_ls8c_ard_3-1-0_095081_2020-08-15_final
2020-08-15 09:50:24	ga_ls8c_ard_3-1-0_095082_2020-08-15_final
2020-08-15 09:50:48	ga_ls8c_ard_3-1-0_095083_2020-08-15_final
2020-08-15 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-08-15_final
2020-08-15 09:52:48	ga_ls8c_ard_3-1-0_095088_2020-08-15_final
2020-08-15 11:23:42	ga_ls8c_ard_3-1-0_111068_2020-08-15_final
2020-08-15 11:25:18	ga_ls8c_ard_3-1-0_111072_2020-08-15_final
2020-08-16 10:28:29	ga_ls8c_ard_3-1-0_102069_2020-08-16_final
2020-08-16 10:28:53	ga_ls8c_ard_3-1-0_102070_2020-08-16_final
2020-08-16 10:29:17	ga_ls8c_ard_3-1-0_102071_2020-08-16_final
2020-08-16 10:29:41	ga_ls8c_ard_3-1-0_102072_2020-08-16_final
2020-08-16 10:30:53	ga_ls8c_ard_3-1-0_102075_2020-08-16_final
2020-08-16 10:32:53	ga_ls8c_ard_3-1-0_102080_2020-08-16_final
2020-08-17 11:11:45	ga_ls8c_ard_3-1-0_109069_2020-08-17_final
2020-08-18 10:19:44	ga_ls8c_ard_3-1-0_100078_2020-08-18_final
2020-08-18 10:21:44	ga_ls8c_ard_3-1-0_100083_2020-08-18_final
2020-08-18 11:57:25	ga_ls8c_ard_3-1-0_116075_2020-08-18_final
2020-08-19 10:58:37	ga_ls8c_ard_3-1-0_107067_2020-08-19_final
2020-08-19 11:04:12	ga_ls8c_ard_3-1-0_107081_2020-08-19_final
2020-08-21 10:47:04	ga_ls8c_ard_3-1-0_105069_2020-08-21_final
2020-08-22 11:31:32	ga_ls8c_ard_3-1-0_112072_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-08-23 10:34:20	ga_ls8c_ard_3-1-0_103068_2020-08-23_final
2020-08-23 10:34:44	ga_ls8c_ard_3-1-0_103069_2020-08-23_final
2020-08-23 10:35:08	ga_ls8c_ard_3-1-0_103070_2020-08-23_final
2020-08-23 10:36:44	ga_ls8c_ard_3-1-0_103074_2020-08-23_final
2020-08-23 10:37:55	ga_ls8c_ard_3-1-0_103077_2020-08-23_final
2020-08-23 10:38:19	ga_ls8c_ard_3-1-0_103078_2020-08-23_final
2020-08-23 10:39:07	ga_ls8c_ard_3-1-0_103080_2020-08-23_final
2020-08-23 10:39:31	ga_ls8c_ard_3-1-0_103081_2020-08-23_final
2020-08-23 10:39:55	ga_ls8c_ard_3-1-0_103082_2020-08-23_final
2020-08-24 09:40:43	ga_ls8c_ard_3-1-0_094073_2020-08-24_final
2020-08-24 11:18:00	ga_ls8c_ard_3-1-0_110069_2020-08-24_final
2020-08-25 10:21:59	ga_ls8c_ard_3-1-0_101068_2020-08-25_final
2020-08-25 10:22:23	ga_ls8c_ard_3-1-0_101069_2020-08-25_final
2020-08-25 10:24:23	ga_ls8c_ard_3-1-0_101074_2020-08-25_final
2020-08-25 10:24:47	ga_ls8c_ard_3-1-0_101075_2020-08-25_final
2020-08-25 10:25:59	ga_ls8c_ard_3-1-0_101078_2020-08-25_final
2020-08-25 10:27:34	ga_ls8c_ard_3-1-0_101082_2020-08-25_final
2020-08-26 11:04:52	ga_ls8c_ard_3-1-0_108067_2020-08-26_final
2020-08-30 10:40:34	ga_ls8c_ard_3-1-0_104068_2020-08-30_final
2020-08-30 10:40:58	ga_ls8c_ard_3-1-0_104069_2020-08-30_final
2020-08-30 10:41:46	ga_ls8c_ard_3-1-0_104071_2020-08-30_final
2020-08-30 10:43:22	ga_ls8c_ard_3-1-0_104075_2020-08-30_final
2020-08-30 10:43:46	ga_ls8c_ard_3-1-0_104076_2020-08-30_final
2020-08-30 10:44:57	ga_ls8c_ard_3-1-0_104079_2020-08-30_final
2020-08-30 10:45:21	ga_ls8c_ard_3-1-0_104080_2020-08-30_final
2020-08-30 10:45:45	ga_ls8c_ard_3-1-0_104081_2020-08-30_final
2020-08-30 10:46:09	ga_ls8c_ard_3-1-0_104082_2020-08-30_final
2020-08-31 09:49:45	ga_ls8c_ard_3-1-0_095080_2020-08-31_final
2020-08-31 09:50:09	ga_ls8c_ard_3-1-0_095081_2020-08-31_final
2020-08-31 09:50:32	ga_ls8c_ard_3-1-0_095082_2020-08-31_final
2020-08-31 09:50:56	ga_ls8c_ard_3-1-0_095083_2020-08-31_final
2020-08-31 09:52:08	ga_ls8c_ard_3-1-0_095086_2020-08-31_final
2020-08-31 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-08-31_final
2020-08-31 11:29:49	ga_ls8c_ard_3-1-0_111083_2020-08-31_final
2020-08-31 11:30:13	ga_ls8c_ard_3-1-0_111084_2020-08-31_final
2020-09-01 10:28:37	ga_ls8c_ard_3-1-0_102069_2020-09-01_final
2020-09-01 10:29:01	ga_ls8c_ard_3-1-0_102070_2020-09-01_final
2020-09-01 10:29:25	ga_ls8c_ard_3-1-0_102071_2020-09-01_final
2020-09-01 10:29:49	ga_ls8c_ard_3-1-0_102072_2020-09-01_final
2020-09-01 10:31:01	ga_ls8c_ard_3-1-0_102075_2020-09-01_final
2020-09-01 10:31:25	ga_ls8c_ard_3-1-0_102076_2020-09-01_final
2020-09-01 10:33:01	ga_ls8c_ard_3-1-0_102080_2020-09-01_final
2020-09-02 11:11:54	ga_ls8c_ard_3-1-0_109069_2020-09-02_final
2020-09-03 10:16:41	ga_ls8c_ard_3-1-0_100070_2020-09-03_final
2020-09-03 10:17:04	ga_ls8c_ard_3-1-0_100071_2020-09-03_final
2020-09-03 10:18:16	ga_ls8c_ard_3-1-0_100074_2020-09-03_final
2020-09-03 10:18:40	ga_ls8c_ard_3-1-0_100075_2020-09-03_final
2020-09-03 10:19:28	ga_ls8c_ard_3-1-0_100077_2020-09-03_final
2020-09-03 10:19:52	ga_ls8c_ard_3-1-0_100078_2020-09-03_final
2020-09-03 10:21:28	ga_ls8c_ard_3-1-0_100082_2020-09-03_final
2020-09-03 10:21:52	ga_ls8c_ard_3-1-0_100083_2020-09-03_final
2020-09-03 10:22:16	ga_ls8c_ard_3-1-0_100084_2020-09-03_final
2020-09-03 11:57:09	ga_ls8c_ard_3-1-0_116074_2020-09-03_final
2020-09-03 11:57:33	ga_ls8c_ard_3-1-0_116075_2020-09-03_final
2020-09-03 11:58:21	ga_ls8c_ard_3-1-0_116077_2020-09-03_final
2020-10-09 11:35:47	ga_ls8c_ard_3-1-0_112082_2020-10-09_final
2020-10-11 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-11_final
2020-10-11 09:40:57	ga_ls8c_ard_3-1-0_094073_2020-10-11_final
2020-10-11 09:41:21	ga_ls8c_ard_3-1-0_094074_2020-10-11_final
2020-10-11 09:42:09	ga_ls8c_ard_3-1-0_094076_2020-10-11_final
2020-10-11 09:42:33	ga_ls8c_ard_3-1-0_094077_2020-10-11_final
2020-10-11 09:44:09	ga_ls8c_ard_3-1-0_094081_2020-10-11_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