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
2023-02-01 11:01:21	ga_ls8c_ard_3-2-1_107073_2023-02-01_final
2023-02-01 11:02:57	ga_ls8c_ard_3-2-1_107077_2023-02-01_final
2023-02-02 10:06:31	ga_ls8c_ard_3-2-1_098075_2023-02-02_final
2023-03-12 09:32:14	ga_ls8c_ard_3-2-1_092083_2023-03-12_final
2023-03-15 09:59:08	ga_ls8c_ard_3-2-1_097073_2023-03-15_final
2023-03-16 10:45:10	ga_ls8c_ard_3-2-1_104080_2023-03-16_final
2023-03-18 10:32:47	ga_ls8c_ard_3-2-1_102080_2023-03-18_final
2023-03-21 09:23:58	ga_ls8c_ard_3-2-1_091078_2023-03-20_final
2023-03-21 09:25:33	ga_ls8c_ard_3-2-1_091082_2023-03-20_final
2023-03-29 10:11:44	ga_ls8c_ard_3-2-1_099074_2023-03-29_final
2023-04-08 10:51:02	ga_ls8c_ard_3-2-1_105080_2023-04-08_final
2023-04-09 09:54:59	ga_ls8c_ard_3-2-1_096079_2023-04-09_final
2023-04-09 11:34:16	ga_ls8c_ard_3-2-1_112080_2023-04-09_final
2023-04-11 09:43:23	ga_ls8c_ard_3-2-1_094081_2023-04-11_final
2023-04-16 11:39:59	ga_ls8c_ard_3-2-1_113079_2023-04-16_final
2023-04-20 09:35:09	ga_ls8c_ard_3-2-1_093076_2023-04-20_final
2023-04-25 11:33:23	ga_ls8c_ard_3-2-1_112078_2023-04-25_final
2023-05-01 09:18:10	ga_ls8c_ard_3-2-1_090080_2023-04-30_final
2023-05-06 09:38:15	ga_ls8c_ard_3-2-1_093084_2023-05-06_final
2023-05-09 10:04:42	ga_ls8c_ard_3-2-1_098073_2023-05-09_final
2023-05-11 09:54:18	ga_ls8c_ard_3-2-1_096078_2023-05-11_final
2023-05-12 10:38:20	ga_ls8c_ard_3-2-1_103080_2023-05-12_final
2023-05-15 09:31:56	ga_ls8c_ard_3-2-1_092084_2023-05-15_final
2023-05-18 10:01:37	ga_ls8c_ard_3-2-1_097081_2023-05-18_final
2023-05-19 10:40:54	ga_ls8c_ard_3-2-1_104071_2023-05-19_final
2023-05-20 11:28:33	ga_ls8c_ard_3-2-1_111082_2023-05-20_final
2023-05-23 11:57:29	ga_ls8c_ard_3-2-1_116077_2023-05-23_final
2023-05-28 10:34:22	ga_ls8c_ard_3-2-1_103070_2023-05-28_final
2023-06-01 11:50:07	ga_ls8c_ard_3-2-1_115074_2023-06-01_final
2023-06-05 11:27:02	ga_ls8c_ard_3-2-1_111078_2023-06-05_final
2023-06-11 10:47:14	ga_ls8c_ard_3-2-1_105071_2023-06-11_final
2023-06-12 09:54:25	ga_ls8c_ard_3-2-1_096078_2023-06-12_final
2023-06-13 10:37:41	ga_ls8c_ard_3-2-1_103078_2023-06-13_final
2023-06-18 09:18:10	ga_ls8c_ard_3-2-1_090080_2023-06-17_final
2023-06-20 10:42:18	ga_ls8c_ard_3-2-1_104074_2023-06-20_final
2023-06-23 09:35:06	ga_ls8c_ard_3-2-1_093076_2023-06-23_final
2023-06-23 09:37:06	ga_ls8c_ard_3-2-1_093081_2023-06-23_final
2023-06-28 09:52:33	ga_ls8c_ard_3-2-1_096073_2023-06-28_final
2023-07-06 10:41:41	ga_ls8c_ard_3-2-1_104072_2023-07-06_final
2023-07-06 10:44:53	ga_ls8c_ard_3-2-1_104080_2023-07-06_final
2023-07-07 09:46:52	ga_ls8c_ard_3-2-1_095074_2023-07-07_final
2023-07-09 09:35:19	ga_ls8c_ard_3-2-1_093076_2023-07-09_final
2023-07-09 09:38:07	ga_ls8c_ard_3-2-1_093083_2023-07-09_final
2023-07-13 10:47:54	ga_ls8c_ard_3-2-1_105072_2023-07-13_final
2023-07-16 09:43:31	ga_ls8c_ard_3-2-1_094081_2023-07-16_final
2023-07-17 10:25:59	ga_ls8c_ard_3-2-1_101079_2023-07-17_final
2023-07-18 11:06:27	ga_ls8c_ard_3-2-1_108072_2023-07-18_final
2023-07-20 10:57:40	ga_ls8c_ard_3-2-1_106081_2023-07-20_final
2023-07-23 11:27:01	ga_ls8c_ard_3-2-1_111077_2023-07-23_final
2023-07-27 09:25:28	ga_ls8c_ard_3-2-1_091082_2023-07-26_final
2023-08-02 10:26:07	ga_ls8c_ard_3-2-1_101079_2023-08-02_final
2023-08-07 10:43:05	ga_ls8c_ard_3-2-1_104075_2023-08-07_final
2023-08-17 09:41:22	ga_ls8c_ard_3-2-1_094075_2023-08-17_final
2023-08-19 11:10:42	ga_ls8c_ard_3-2-1_108082_2023-08-19_final
2023-08-21 10:57:57	ga_ls8c_ard_3-2-1_106081_2023-08-21_final
2023-08-25 10:29:40	ga_ls8c_ard_3-2-1_102072_2023-08-25_final
2023-08-28 09:24:05	ga_ls8c_ard_3-2-1_091078_2023-08-27_final
2023-08-28 11:00:58	ga_ls8c_ard_3-2-1_107073_2023-08-28_final
2023-08-28 11:02:58	ga_ls8c_ard_3-2-1_107078_2023-08-28_final
2023-08-29 11:46:13	ga_ls8c_ard_3-2-1_114078_2023-08-29_final
2023-08-30 10:47:48	ga_ls8c_ard_3-2-1_105071_2023-08-30_final
2023-08-31 09:52:35	ga_ls8c_ard_3-2-1_096072_2023-08-31_final
2023-08-31 11:33:52	ga_ls8c_ard_3-2-1_112078_2023-08-31_final
2023-09-01 10:35:26	ga_ls8c_ard_3-2-1_103071_2023-09-01_final
2023-09-06 10:56:21	ga_ls8c_ard_3-2-1_106077_2023-09-06_final
2023-09-06 10:57:56	ga_ls8c_ard_3-2-1_106081_2023-09-06_final
2023-09-08 10:42:00	ga_ls8c_ard_3-2-1_104072_2023-09-08_final
2023-09-08 10:45:12	ga_ls8c_ard_3-2-1_104080_2023-09-08_final
2023-09-09 11:26:29	ga_ls8c_ard_3-2-1_111075_2023-09-09_final
2023-09-18 11:22:22	ga_ls8c_ard_3-2-1_110080_2023-09-18_final
2023-09-24 10:42:06	ga_ls8c_ard_3-2-1_104072_2023-09-24_final
2023-09-24 10:43:18	ga_ls8c_ard_3-2-1_104075_2023-09-24_final
2023-09-25 11:26:35	ga_ls8c_ard_3-2-1_111075_2023-09-25_final
2023-09-26 10:31:46	ga_ls8c_ard_3-2-1_102077_2023-09-26_final
2023-09-27 09:37:45	ga_ls8c_ard_3-2-1_093081_2023-09-27_final
2023-09-27 09:38:33	ga_ls8c_ard_3-2-1_093083_2023-09-27_final
2023-09-27 11:15:26	ga_ls8c_ard_3-2-1_109078_2023-09-27_final
2023-09-27 11:16:14	ga_ls8c_ard_3-2-1_109080_2023-09-27_final
2023-09-29 11:01:05	ga_ls8c_ard_3-2-1_107073_2023-09-29_final
2023-10-04 09:42:20	ga_ls8c_ard_3-2-1_094077_2023-10-04_final
2023-10-10 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-10-10_final
2023-10-11 11:27:51	ga_ls8c_ard_3-2-1_111078_2023-10-11_final
2023-10-11 11:29:02	ga_ls8c_ard_3-2-1_111081_2023-10-11_final
2023-10-14 10:18:16	ga_ls8c_ard_3-2-1_100074_2023-10-14_final
2023-10-18 09:56:43	ga_ls8c_ard_3-2-1_096082_2023-10-18_final
2023-10-19 10:35:35	ga_ls8c_ard_3-2-1_103071_2023-10-19_final
2023-10-20 11:22:26	ga_ls8c_ard_3-2-1_110080_2023-10-20_final
2023-10-23 10:11:42	ga_ls8c_ard_3-2-1_099073_2023-10-23_final
2023-10-26 10:42:14	ga_ls8c_ard_3-2-1_104072_2023-10-26_final
2023-10-28 10:29:53	ga_ls8c_ard_3-2-1_102072_2023-10-28_final
2023-10-29 09:35:51	ga_ls8c_ard_3-2-1_093076_2023-10-29_final
2023-10-30 10:21:07	ga_ls8c_ard_3-2-1_100081_2023-10-30_final
2023-11-01 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-11-01_final
2023-11-02 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-01_final
2023-11-05 09:42:25	ga_ls8c_ard_3-2-1_094077_2023-11-05_final
2023-11-07 09:30:02	ga_ls8c_ard_3-2-1_092077_2023-11-07_final
2023-11-07 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-11-07_final
2023-11-09 10:56:31	ga_ls8c_ard_3-2-1_106077_2023-11-09_final
2023-11-11 10:44:09	ga_ls8c_ard_3-2-1_104077_2023-11-11_final
2023-11-12 11:27:26	ga_ls8c_ard_3-2-1_111077_2023-11-12_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