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
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2023-04-04 09:38:33	ga_ls8c_ard_3-2-1_093084_2023-04-04_final
2023-04-11 09:43:46	ga_ls8c_ard_3-2-1_094082_2023-04-11_final
2023-04-12 10:26:38	ga_ls8c_ard_3-2-1_101081_2023-04-12_final
2023-04-13 11:09:06	ga_ls8c_ard_3-2-1_108079_2023-04-13_final
2023-04-17 10:41:10	ga_ls8c_ard_3-2-1_104071_2023-04-17_final
2023-04-27 09:43:43	ga_ls8c_ard_3-2-1_094082_2023-04-27_final
2023-08-03 09:31:42	ga_ls8c_ard_3-2-1_092082_2023-08-03_final
2023-08-12 09:24:21	ga_ls8c_ard_3-2-1_091079_2023-08-11_final
2023-08-19 09:31:01	ga_ls8c_ard_3-2-1_092080_2023-08-19_final
2023-08-20 11:50:47	ga_ls8c_ard_3-2-1_115074_2023-08-20_final
2023-08-25 10:29:40	ga_ls8c_ard_3-2-1_102072_2023-08-25_final
2023-08-30 10:46:13	ga_ls8c_ard_3-2-1_105067_2023-08-30_final
2023-08-31 09:53:23	ga_ls8c_ard_3-2-1_096074_2023-08-31_final
2023-09-04 09:35:02	ga_ls8c_ard_3-2-1_092090_2023-09-04_final
2023-09-07 09:57:32	ga_ls8c_ard_3-2-1_097069_2023-09-07_final
2023-09-11 09:38:27	ga_ls8c_ard_3-2-1_093083_2023-09-11_final
2023-09-14 10:05:47	ga_ls8c_ard_3-2-1_098074_2023-09-14_final
2023-09-15 10:46:16	ga_ls8c_ard_3-2-1_105067_2023-09-15_final
2023-09-15 10:47:28	ga_ls8c_ard_3-2-1_105070_2023-09-15_final
2023-09-18 11:22:46	ga_ls8c_ard_3-2-1_110081_2023-09-18_final
2023-09-30 10:05:28	ga_ls8c_ard_3-2-1_098073_2023-09-30_final
2023-09-30 10:05:52	ga_ls8c_ard_3-2-1_098074_2023-09-30_final
2023-09-30 10:06:16	ga_ls8c_ard_3-2-1_098075_2023-09-30_final
2023-10-01 10:50:20	ga_ls8c_ard_3-2-1_105077_2023-10-01_final
2023-10-03 10:35:34	ga_ls8c_ard_3-2-1_103071_2023-10-03_final
2023-10-04 09:43:32	ga_ls8c_ard_3-2-1_094080_2023-10-04_final
2023-10-07 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-10-07_final
2023-10-12 10:29:50	ga_ls8c_ard_3-2-1_102072_2023-10-12_final
2023-10-21 10:26:02	ga_ls8c_ard_3-2-1_101078_2023-10-21_final
2023-10-24 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-10-24_final
2023-10-28 10:31:52	ga_ls8c_ard_3-2-1_102077_2023-10-28_final
2023-11-01 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-01_final
2023-11-05 09:45:12	ga_ls8c_ard_3-2-1_094084_2023-11-05_final
2023-11-05 11:23:41	ga_ls8c_ard_3-2-1_110083_2023-11-05_final
2023-11-07 11:10:06	ga_ls8c_ard_3-2-1_108080_2023-11-07_final
2023-11-11 10:44:33	ga_ls8c_ard_3-2-1_104078_2023-11-11_final
2023-11-16 11:03:34	ga_ls8c_ard_3-2-1_107079_2023-11-16_final
2023-11-26 11:39:29	ga_ls8c_ard_3-2-1_113076_2023-11-26_final
2023-11-30 09:37:27	ga_ls8c_ard_3-2-1_093080_2023-11-30_final
2023-11-30 09:39:51	ga_ls8c_ard_3-2-1_093086_2023-11-30_final
2023-12-03 10:05:54	ga_ls8c_ard_3-2-1_098074_2023-12-03_final
2023-12-07 09:43:30	ga_ls8c_ard_3-2-1_094080_2023-12-07_final
2023-12-08 10:26:23	ga_ls8c_ard_3-2-1_101079_2023-12-08_final
2023-12-09 09:31:10	ga_ls8c_ard_3-2-1_092080_2023-12-09_final
2023-12-10 10:12:27	ga_ls8c_ard_3-2-1_099075_2023-12-10_final
2023-12-10 11:50:56	ga_ls8c_ard_3-2-1_115074_2023-12-10_final
2023-12-11 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-12-10_final
2023-12-11 10:56:31	ga_ls8c_ard_3-2-1_106077_2023-12-11_final
2023-12-14 09:50:58	ga_ls8c_ard_3-2-1_095083_2023-12-14_final
2023-12-14 11:29:27	ga_ls8c_ard_3-2-1_111082_2023-12-14_final
2023-12-21 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-12-21_final
2023-12-21 11:36:29	ga_ls8c_ard_3-2-1_112084_2023-12-21_final
2023-12-23 09:42:26	ga_ls8c_ard_3-2-1_094077_2023-12-23_final
2023-12-23 09:46:02	ga_ls8c_ard_3-2-1_094086_2023-12-23_final
2023-12-25 09:30:28	ga_ls8c_ard_3-2-1_092078_2023-12-25_final
2023-12-28 10:02:32	ga_ls8c_ard_3-2-1_097081_2023-12-28_final
2023-12-29 10:42:12	ga_ls8c_ard_3-2-1_104072_2023-12-29_final
2023-12-31 10:31:00	ga_ls8c_ard_3-2-1_102075_2023-12-31_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-01 09:39:46	ga_ls8c_ard_3-2-1_093086_2024-01-01_final
2024-01-02 10:18:37	ga_ls8c_ard_3-2-1_100075_2024-01-02_final
2024-01-08 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-01-08_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-12 09:18:25	ga_ls8c_ard_3-2-1_090079_2024-01-11_final
2024-01-15 09:51:43	ga_ls8c_ard_3-2-1_095085_2024-01-15_final
2024-01-17 09:37:45	ga_ls8c_ard_3-2-1_093081_2024-01-17_final
2024-01-18 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-18_final
2024-01-19 11:04:40	ga_ls8c_ard_3-2-1_107082_2024-01-19_final
2024-01-20 11:47:07	ga_ls8c_ard_3-2-1_114080_2024-01-20_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_nrt
2024-01-24 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-01-24_final
2024-01-24 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-01-24_nrt
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-28 09:19:54	ga_ls8c_ard_3-2-1_090083_2024-01-27_final
2024-01-30 10:40:52	ga_ls8c_ard_3-2-1_104069_2024-01-30_final
2024-02-01 10:30:55	ga_ls8c_ard_3-2-1_102075_2024-02-01_final
2024-02-02 09:37:18	ga_ls8c_ard_3-2-1_093080_2024-02-02_final
2024-02-03 11:58:16	ga_ls8c_ard_3-2-1_116077_2024-02-03_final
2024-02-06 10:51:30	ga_ls8c_ard_3-2-1_105080_2024-02-06_final
2024-02-09 09:43:55	ga_ls8c_ard_3-2-1_094081_2024-02-09_final
2024-02-09 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-02-09_final
2024-02-09 11:22:48	ga_ls8c_ard_3-2-1_110081_2024-02-09_final
2024-02-10 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-02-10_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-16 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-02-16_final
2024-02-18 09:36:06	ga_ls8c_ard_3-2-1_093077_2024-02-18_final
2024-02-20 11:03:25	ga_ls8c_ard_3-2-1_107079_2024-02-20_final
2024-02-21 11:47:29	ga_ls8c_ard_3-2-1_114081_2024-02-21_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-29 09:18:41	ga_ls8c_ard_3-2-1_090080_2024-02-28_final
2024-03-12 09:44:52	ga_ls8c_ard_3-2-1_094084_2024-03-12_final
2024-03-12 11:21:21	ga_ls8c_ard_3-2-1_110078_2024-03-12_final
2024-03-13 10:24:31	ga_ls8c_ard_3-2-1_101075_2024-03-13_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-21 09:34:59	ga_ls8c_ard_3-2-1_093075_2024-03-21_final
2024-03-25 09:13:46	ga_ls8c_ard_3-2-1_089084_2024-03-24_final
2024-04-04 09:47:13	ga_ls8c_ard_3-2-1_095075_2024-04-04_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