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
2021-07-14 12:31:11	ga_ls8c_ard_3-2-1_122067_2021-07-14_final
2022-03-27 09:22:52	ga_ls8c_ard_3-2-1_090091_2022-03-26_final
2022-08-24 11:57:55	ga_ls8c_ard_3-2-1_116075_2022-08-24_final
2023-10-17 09:15:52	ga_ls8c_ard_3-2-1_089088_2023-10-16_final
2023-11-05 09:45:12	ga_ls8c_ard_3-2-1_094084_2023-11-05_final
2023-11-05 11:22:30	ga_ls8c_ard_3-2-1_110080_2023-11-05_final
2023-11-12 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-11-12_final
2023-11-14 09:36:37	ga_ls8c_ard_3-2-1_093078_2023-11-14_final
2023-11-14 09:38:37	ga_ls8c_ard_3-2-1_093083_2023-11-14_final
2023-11-14 11:15:06	ga_ls8c_ard_3-2-1_109077_2023-11-14_final
2023-11-16 09:28:16	ga_ls8c_ard_3-2-1_091088_2023-11-15_final
2023-11-18 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-18_final
2023-11-21 09:43:39	ga_ls8c_ard_3-2-1_094080_2023-11-21_final
2023-11-22 10:26:31	ga_ls8c_ard_3-2-1_101079_2023-11-22_final
2023-11-24 10:14:58	ga_ls8c_ard_3-2-1_099081_2023-11-24_final
2023-11-24 10:15:46	ga_ls8c_ard_3-2-1_099083_2023-11-24_final
2023-11-26 11:39:29	ga_ls8c_ard_3-2-1_113076_2023-11-26_final
2023-11-27 10:43:28	ga_ls8c_ard_3-2-1_104075_2023-11-27_final
2023-11-30 09:38:15	ga_ls8c_ard_3-2-1_093082_2023-11-30_final
2023-11-30 09:39:51	ga_ls8c_ard_3-2-1_093086_2023-11-30_final
2023-11-30 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-11-30_final
2023-12-03 10:09:06	ga_ls8c_ard_3-2-1_098082_2023-12-03_final
2023-12-05 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-12-05_final
2023-12-05 09:56:18	ga_ls8c_ard_3-2-1_096081_2023-12-05_final
2023-12-05 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-12-05_final
2023-12-07 09:43:06	ga_ls8c_ard_3-2-1_094079_2023-12-07_final
2023-12-07 09:43:30	ga_ls8c_ard_3-2-1_094080_2023-12-07_final
2023-12-10 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-12-10_final
2023-12-13 10:43:23	ga_ls8c_ard_3-2-1_104075_2023-12-13_final
2023-12-14 09:50:10	ga_ls8c_ard_3-2-1_095081_2023-12-14_final
2023-12-17 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-12-17_final
2023-12-18 09:24:41	ga_ls8c_ard_3-2-1_091079_2023-12-17_final
2023-12-18 09:25:53	ga_ls8c_ard_3-2-1_091082_2023-12-17_final
2023-12-18 11:03:34	ga_ls8c_ard_3-2-1_107079_2023-12-18_final
2023-12-21 09:55:36	ga_ls8c_ard_3-2-1_096079_2023-12-21_final
2023-12-21 11:33:17	ga_ls8c_ard_3-2-1_112076_2023-12-21_final
2023-12-23 09:43:14	ga_ls8c_ard_3-2-1_094079_2023-12-23_final
2023-12-23 09:46:26	ga_ls8c_ard_3-2-1_094087_2023-12-23_final
2023-12-24 10:24:30	ga_ls8c_ard_3-2-1_101074_2023-12-24_final
2023-12-24 10:25:18	ga_ls8c_ard_3-2-1_101076_2023-12-24_final
2024-01-01 09:38:34	ga_ls8c_ard_3-2-1_093083_2024-01-01_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-05 10:48:40	ga_ls8c_ard_3-2-1_105073_2024-01-05_final
2024-01-06 11:33:08	ga_ls8c_ard_3-2-1_112076_2024-01-06_final
2024-01-09 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-01-09_final
2024-01-10 09:30:22	ga_ls8c_ard_3-2-1_092078_2024-01-10_final
2024-01-10 09:30:46	ga_ls8c_ard_3-2-1_092079_2024-01-10_final
2024-01-11 11:53:19	ga_ls8c_ard_3-2-1_115080_2024-01-11_final
2024-01-13 10:02:29	ga_ls8c_ard_3-2-1_097081_2024-01-13_final
2024-01-15 09:51:19	ga_ls8c_ard_3-2-1_095084_2024-01-15_final
2024-01-17 11:16:38	ga_ls8c_ard_3-2-1_109081_2024-01-17_final
2024-01-19 09:28:34	ga_ls8c_ard_3-2-1_091089_2024-01-18_final
2024-01-19 11:03:28	ga_ls8c_ard_3-2-1_107079_2024-01-19_final
2024-01-19 11:04:40	ga_ls8c_ard_3-2-1_107082_2024-01-19_final
2024-01-22 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-22_final
2024-01-23 10:39:54	ga_ls8c_ard_3-2-1_103082_2024-01-23_final
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_final
2024-01-26 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-01-26_final
2024-01-27 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-01-27_final
2024-01-28 10:56:48	ga_ls8c_ard_3-2-1_106078_2024-01-28_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-01-31 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-01-31_final
2024-01-31 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-01-31_final
2024-02-07 09:57:05	ga_ls8c_ard_3-2-1_096083_2024-02-07_final
2024-02-09 09:43:55	ga_ls8c_ard_3-2-1_094081_2024-02-09_final
2024-02-11 09:33:33	ga_ls8c_ard_3-2-1_092086_2024-02-11_final
2024-02-13 09:19:11	ga_ls8c_ard_3-2-1_090081_2024-02-12_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-21 10:06:36	ga_ls8c_ard_3-2-1_098076_2024-02-21_final
2024-02-23 09:57:01	ga_ls8c_ard_3-2-1_096083_2024-02-23_final
2024-02-24 10:39:05	ga_ls8c_ard_3-2-1_103080_2024-02-24_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-26 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-02-26_final
2024-02-27 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-02-26_final
2024-02-27 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-02-27_final
2024-02-27 09:32:40	ga_ls8c_ard_3-2-1_092084_2024-02-27_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-28 10:10:44	ga_ls8c_ard_3-2-1_099071_2024-02-28_final
2024-02-29 10:57:10	ga_ls8c_ard_3-2-1_106079_2024-02-29_final
2024-03-02 10:45:10	ga_ls8c_ard_3-2-1_104080_2024-03-02_final
2024-03-03 09:50:44	ga_ls8c_ard_3-2-1_095083_2024-03-03_final
2024-03-05 09:33:33	ga_ls8c_ard_3-2-1_093071_2024-03-05_final
2024-03-06 08:42:18	ga_ls8c_ard_3-2-1_084082_2024-03-05_final
2024-03-08 11:45:41	ga_ls8c_ard_3-2-1_114077_2024-03-08_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-12 09:43:40	ga_ls8c_ard_3-2-1_094081_2024-03-12_final
2024-03-14 09:30:29	ga_ls8c_ard_3-2-1_092079_2024-03-14_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-03-24 11:46:19	ga_ls8c_ard_3-2-1_114079_2024-03-24_final
2024-03-27 10:34:39	ga_ls8c_ard_3-2-1_103070_2024-03-27_final
2024-03-28 11:22:41	ga_ls8c_ard_3-2-1_110082_2024-03-28_final
2024-03-28 11:23:53	ga_ls8c_ard_3-2-1_110085_2024-03-28_final
2024-03-29 10:26:40	ga_ls8c_ard_3-2-1_101081_2024-03-29_final
2024-03-30 09:29:28	ga_ls8c_ard_3-2-1_092077_2024-03-29_final
2024-03-30 11:07:57	ga_ls8c_ard_3-2-1_108076_2024-03-30_final
2024-04-03 10:42:02	ga_ls8c_ard_3-2-1_104073_2024-04-03_final
2024-04-04 09:47:13	ga_ls8c_ard_3-2-1_095075_2024-04-04_final
2024-04-04 09:47:37	ga_ls8c_ard_3-2-1_095076_2024-04-04_final
2024-04-04 11:28:29	ga_ls8c_ard_3-2-1_111081_2024-04-04_final
2024-04-05 10:29:16	ga_ls8c_ard_3-2-1_102072_2024-04-05_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