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
2020-07-26 10:08:39	ga_ls8c_ard_3-2-1_099066_2020-07-26_final
2021-08-21 08:42:35	ga_ls8c_ard_3-2-1_084082_2021-08-20_final
2022-05-30 09:23:03	ga_ls8c_ard_3-2-1_090091_2022-05-29_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2023-03-17 08:10:39	ga_ls8c_ard_3-2-1_079080_2023-03-16_final
2023-06-19 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-06-19_final
2023-09-21 10:15:59	ga_ls8c_ard_3-2-1_099084_2023-09-21_final
2023-09-21 11:52:28	ga_ls8c_ard_3-2-1_115078_2023-09-21_final
2023-09-22 10:53:39	ga_ls8c_ard_3-2-1_106070_2023-09-22_final
2023-09-25 11:27:47	ga_ls8c_ard_3-2-1_111078_2023-09-25_final
2023-09-29 09:24:12	ga_ls8c_ard_3-2-1_091078_2023-09-28_final
2023-10-04 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-10-04_final
2023-10-05 10:27:11	ga_ls8c_ard_3-2-1_101081_2023-10-05_final
2023-10-06 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-10-06_final
2023-10-07 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-10-07_final
2023-10-08 09:17:38	ga_ls8c_ard_3-2-1_090077_2023-10-07_final
2023-10-08 09:22:25	ga_ls8c_ard_3-2-1_090089_2023-10-07_final
2023-10-11 11:27:03	ga_ls8c_ard_3-2-1_111076_2023-10-11_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-15 09:24:15	ga_ls8c_ard_3-2-1_091078_2023-10-14_final
2023-10-16 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-10-16_final
2023-10-16 11:45:59	ga_ls8c_ard_3-2-1_114077_2023-10-16_final
2023-10-17 09:13:28	ga_ls8c_ard_3-2-1_089082_2023-10-16_final
2023-10-17 09:15:04	ga_ls8c_ard_3-2-1_089086_2023-10-16_final
2023-10-21 10:25:38	ga_ls8c_ard_3-2-1_101077_2023-10-21_final
2023-10-23 10:16:05	ga_ls8c_ard_3-2-1_099084_2023-10-23_final
2023-10-25 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-10-25_final
2023-10-26 10:41:02	ga_ls8c_ard_3-2-1_104069_2023-10-26_final
2023-10-31 09:23:06	ga_ls8c_ard_3-2-1_091075_2023-10-30_final
2023-10-31 09:25:06	ga_ls8c_ard_3-2-1_091080_2023-10-30_final
2023-11-01 11:46:02	ga_ls8c_ard_3-2-1_114077_2023-11-01_final
2023-11-02 10:46:25	ga_ls8c_ard_3-2-1_105067_2023-11-02_final
2023-11-05 09:46:00	ga_ls8c_ard_3-2-1_094086_2023-11-05_final
2023-11-05 11:22:54	ga_ls8c_ard_3-2-1_110081_2023-11-05_final
2023-11-12 11:25:26	ga_ls8c_ard_3-2-1_111072_2023-11-12_final
2023-11-13 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-11-13_final
2023-11-16 09:28:16	ga_ls8c_ard_3-2-1_091088_2023-11-15_final
2023-11-17 11:46:50	ga_ls8c_ard_3-2-1_114079_2023-11-17_final
2023-11-18 09:13:56	ga_ls8c_ard_3-2-1_089083_2023-11-17_final
2023-11-23 11:07:24	ga_ls8c_ard_3-2-1_108073_2023-11-23_final
2023-11-24 10:10:35	ga_ls8c_ard_3-2-1_099070_2023-11-24_final
2023-11-24 10:14:34	ga_ls8c_ard_3-2-1_099080_2023-11-24_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-11-29 10:30:41	ga_ls8c_ard_3-2-1_102074_2023-11-29_final
2023-12-01 10:17:30	ga_ls8c_ard_3-2-1_100072_2023-12-01_final
2023-12-04 10:46:21	ga_ls8c_ard_3-2-1_105067_2023-12-04_final
2023-12-05 09:57:54	ga_ls8c_ard_3-2-1_096085_2023-12-05_final
2023-12-06 10:34:21	ga_ls8c_ard_3-2-1_103068_2023-12-06_final
2023-12-06 10:37:32	ga_ls8c_ard_3-2-1_103076_2023-12-06_final
2023-12-09 09:30:22	ga_ls8c_ard_3-2-1_092078_2023-12-09_final
2023-12-12 09:57:43	ga_ls8c_ard_3-2-1_097069_2023-12-12_final
2023-12-12 11:39:48	ga_ls8c_ard_3-2-1_113077_2023-12-12_final
2023-12-15 10:32:15	ga_ls8c_ard_3-2-1_102078_2023-12-15_final
2023-12-15 10:32:39	ga_ls8c_ard_3-2-1_102079_2023-12-15_final
2023-12-25 11:05:45	ga_ls8c_ard_3-2-1_108069_2023-12-25_final
2023-12-30 11:27:02	ga_ls8c_ard_3-2-1_111076_2023-12-30_final
2023-12-31 10:32:36	ga_ls8c_ard_3-2-1_102079_2023-12-31_final
2024-01-02 10:20:13	ga_ls8c_ard_3-2-1_100079_2024-01-02_final
2024-01-11 10:12:50	ga_ls8c_ard_3-2-1_099076_2024-01-11_final
2024-01-12 09:22:25	ga_ls8c_ard_3-2-1_090089_2024-01-11_final
2024-01-13 11:40:58	ga_ls8c_ard_3-2-1_113080_2024-01-13_final
2024-01-18 10:22:12	ga_ls8c_ard_3-2-1_100084_2024-01-18_final
2024-01-20 11:45:55	ga_ls8c_ard_3-2-1_114077_2024-01-20_final
2024-01-24 11:22:44	ga_ls8c_ard_3-2-1_110081_2024-01-24_final
2024-01-26 09:30:16	ga_ls8c_ard_3-2-1_092078_2024-01-26_final
2024-01-29 10:00:47	ga_ls8c_ard_3-2-1_097077_2024-01-29_final
2024-01-29 11:39:40	ga_ls8c_ard_3-2-1_113077_2024-01-29_final
2024-02-05 10:03:27	ga_ls8c_ard_3-2-1_098068_2024-02-05_final
2024-02-05 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-02-05_final
2024-02-06 10:47:54	ga_ls8c_ard_3-2-1_105071_2024-02-06_final
2024-02-08 10:39:56	ga_ls8c_ard_3-2-1_103082_2024-02-08_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-13 09:21:59	ga_ls8c_ard_3-2-1_090088_2024-02-12_final
2024-02-16 09:48:28	ga_ls8c_ard_3-2-1_095077_2024-02-16_final
2024-02-16 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-02-16_final
2024-02-16 11:28:33	ga_ls8c_ard_3-2-1_111080_2024-02-16_final
2024-02-18 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-18_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-18 11:17:47	ga_ls8c_ard_3-2-1_109084_2024-02-18_final
2024-02-19 10:20:10	ga_ls8c_ard_3-2-1_100079_2024-02-19_final
2024-02-20 11:03:49	ga_ls8c_ard_3-2-1_107080_2024-02-20_final
2024-02-22 09:12:34	ga_ls8c_ard_3-2-1_089080_2024-02-21_final
2024-02-23 09:55:02	ga_ls8c_ard_3-2-1_096078_2024-02-23_final
2024-02-23 09:57:25	ga_ls8c_ard_3-2-1_096084_2024-02-23_final
2024-02-27 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-02-27_final
2024-02-28 11:51:36	ga_ls8c_ard_3-2-1_115076_2024-02-28_final
2024-03-03 11:26:49	ga_ls8c_ard_3-2-1_111076_2024-03-03_final
2024-03-07 09:24:20	ga_ls8c_ard_3-2-1_091079_2024-03-06_final
2024-03-08 11:46:05	ga_ls8c_ard_3-2-1_114078_2024-03-08_final
2024-03-15 10:15:44	ga_ls8c_ard_3-2-1_099084_2024-03-15_final
2024-03-16 09:22:06	ga_ls8c_ard_3-2-1_090089_2024-03-15_final
2024-03-16 10:53:48	ga_ls8c_ard_3-2-1_106071_2024-03-16_final
2024-03-19 11:26:40	ga_ls8c_ard_3-2-1_111076_2024-03-19_final
2024-03-21 11:12:17	ga_ls8c_ard_3-2-1_109071_2024-03-21_final
2024-03-21 11:14:40	ga_ls8c_ard_3-2-1_109077_2024-03-21_final
2024-03-22 10:18:14	ga_ls8c_ard_3-2-1_100075_2024-03-22_final
2024-03-24 10:04:14	ga_ls8c_ard_3-2-1_098071_2024-03-24_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-04-06 09:39:14	ga_ls8c_ard_3-2-1_093086_2024-04-06_final
2024-04-06 11:17:19	ga_ls8c_ard_3-2-1_109084_2024-04-06_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