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
2017-11-23 10:08:56	ga_ls8c_ard_3-2-1_099066_2017-11-23_final
2022-02-26 08:10:44	ga_ls8c_ard_3-2-1_079080_2022-02-25_final
2022-10-06 11:43:02	ga_ls8c_ard_3-2-1_113084_2022-10-06_final
2023-02-03 09:16:53	ga_ls8c_ard_3-2-1_089090_2023-02-02_final
2023-02-03 10:47:47	ga_ls8c_ard_3-2-1_105070_2023-02-03_final
2023-03-21 09:23:34	ga_ls8c_ard_3-2-1_091077_2023-03-20_final
2023-03-21 10:59:39	ga_ls8c_ard_3-2-1_107070_2023-03-21_final
2023-05-02 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-05-02_final
2023-06-25 09:25:59	ga_ls8c_ard_3-2-1_091084_2023-06-24_final
2023-06-27 09:10:52	ga_ls8c_ard_3-2-1_089077_2023-06-26_final
2023-07-08 10:27:45	ga_ls8c_ard_3-2-1_102068_2023-07-08_final
2023-07-13 10:49:06	ga_ls8c_ard_3-2-1_105075_2023-07-13_final
2023-07-14 11:31:58	ga_ls8c_ard_3-2-1_112074_2023-07-14_final
2023-07-18 11:11:14	ga_ls8c_ard_3-2-1_108084_2023-07-18_final
2023-07-25 09:34:36	ga_ls8c_ard_3-2-1_093074_2023-07-25_final
2023-07-27 09:26:16	ga_ls8c_ard_3-2-1_091084_2023-07-26_final
2023-07-28 10:07:32	ga_ls8c_ard_3-2-1_098079_2023-07-28_final
2023-08-01 09:44:51	ga_ls8c_ard_3-2-1_094084_2023-08-01_final
2023-08-01 11:18:57	ga_ls8c_ard_3-2-1_110072_2023-08-01_final
2023-08-03 09:33:18	ga_ls8c_ard_3-2-1_092086_2023-08-03_final
2023-08-03 11:05:48	ga_ls8c_ard_3-2-1_108070_2023-08-03_final
2023-08-06 11:41:54	ga_ls8c_ard_3-2-1_113083_2023-08-06_final
2023-08-07 09:06:36	ga_ls8c_ard_3-2-1_088081_2023-08-06_final
2023-08-13 10:03:14	ga_ls8c_ard_3-2-1_098068_2023-08-13_final
2023-08-23 09:07:31	ga_ls8c_ard_3-2-1_088083_2023-08-22_final
2023-08-27 10:17:18	ga_ls8c_ard_3-2-1_100072_2023-08-27_final
2023-08-30 09:11:43	ga_ls8c_ard_3-2-1_089078_2023-08-29_final
2023-09-05 10:09:30	ga_ls8c_ard_3-2-1_099068_2023-09-05_final
2023-09-05 11:52:22	ga_ls8c_ard_3-2-1_115078_2023-09-05_final
2023-09-06 10:53:09	ga_ls8c_ard_3-2-1_106069_2023-09-06_final
2023-09-07 09:58:20	ga_ls8c_ard_3-2-1_097071_2023-09-07_final
2023-09-07 11:42:24	ga_ls8c_ard_3-2-1_113084_2023-09-07_final
2023-09-18 11:19:11	ga_ls8c_ard_3-2-1_110072_2023-09-18_final
2023-09-20 11:06:25	ga_ls8c_ard_3-2-1_108071_2023-09-20_final
2023-09-24 10:42:30	ga_ls8c_ard_3-2-1_104073_2023-09-24_final
2023-09-26 10:28:58	ga_ls8c_ard_3-2-1_102070_2023-09-26_final
2023-09-27 09:40:08	ga_ls8c_ard_3-2-1_093087_2023-09-27_final
2023-10-01 09:12:14	ga_ls8c_ard_3-2-1_089079_2023-09-30_final
2023-10-01 09:13:26	ga_ls8c_ard_3-2-1_089082_2023-09-30_final
2023-10-09 10:03:42	ga_ls8c_ard_3-2-1_097084_2023-10-09_final
2023-10-11 09:46:34	ga_ls8c_ard_3-2-1_095072_2023-10-11_final
2023-10-15 09:28:38	ga_ls8c_ard_3-2-1_091089_2023-10-14_final
2023-10-17 09:14:16	ga_ls8c_ard_3-2-1_089084_2023-10-16_final
2023-10-17 10:49:10	ga_ls8c_ard_3-2-1_105074_2023-10-17_final
2023-10-20 09:40:45	ga_ls8c_ard_3-2-1_094073_2023-10-20_final
2023-10-20 11:19:15	ga_ls8c_ard_3-2-1_110072_2023-10-20_final
2023-10-27 11:26:18	ga_ls8c_ard_3-2-1_111074_2023-10-27_final
2023-10-27 11:30:17	ga_ls8c_ard_3-2-1_111084_2023-10-27_final
2023-11-02 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-11-01_final
2023-11-02 09:16:19	ga_ls8c_ard_3-2-1_089089_2023-11-01_final
2023-11-07 09:29:14	ga_ls8c_ard_3-2-1_092075_2023-11-06_final
2023-11-08 11:51:21	ga_ls8c_ard_3-2-1_115075_2023-11-08_final
2023-11-09 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-11-09_final
2023-11-14 11:11:55	ga_ls8c_ard_3-2-1_109069_2023-11-14_final
2023-11-15 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-11-15_final
2023-11-16 09:23:53	ga_ls8c_ard_3-2-1_091077_2023-11-15_final
2023-11-17 10:03:57	ga_ls8c_ard_3-2-1_098069_2023-11-17_final
2023-11-24 11:52:39	ga_ls8c_ard_3-2-1_115078_2023-11-24_final
2023-11-26 11:38:42	ga_ls8c_ard_3-2-1_113074_2023-11-26_final
2023-11-29 10:30:17	ga_ls8c_ard_3-2-1_102073_2023-11-29_final
2023-11-30 09:35:27	ga_ls8c_ard_3-2-1_093075_2023-11-30_final
2023-12-01 10:19:06	ga_ls8c_ard_3-2-1_100076_2023-12-01_final
2023-12-02 12:37:38	ga_ls8c_ard_3-2-1_123067_2023-12-02_final
2023-12-04 09:11:52	ga_ls8c_ard_3-2-1_089078_2023-12-03_final
2023-12-06 10:34:21	ga_ls8c_ard_3-2-1_103068_2023-12-06_final
2023-12-07 11:21:11	ga_ls8c_ard_3-2-1_110077_2023-12-07_final
2023-12-20 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-12-19_final
2023-12-21 09:52:48	ga_ls8c_ard_3-2-1_096072_2023-12-21_final
2023-12-23 11:19:43	ga_ls8c_ard_3-2-1_110073_2023-12-23_final
2023-12-27 10:56:34	ga_ls8c_ard_3-2-1_106077_2023-12-27_final
2024-01-05 10:46:17	ga_ls8c_ard_3-2-1_105067_2024-01-05_final
2024-01-12 10:55:18	ga_ls8c_ard_3-2-1_106074_2024-01-12_final
2024-01-13 10:04:05	ga_ls8c_ard_3-2-1_097085_2024-01-13_final
2024-01-19 09:26:11	ga_ls8c_ard_3-2-1_091083_2024-01-18_final
2024-01-21 09:13:24	ga_ls8c_ard_3-2-1_089082_2024-01-20_final
2024-01-22 09:53:27	ga_ls8c_ard_3-2-1_096074_2024-01-22_final
2024-01-24 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-01-24_final
2024-01-24 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-01-24_final
2024-01-31 09:52:03	ga_ls8c_ard_3-2-1_095086_2024-01-31_final
2024-02-03 10:22:10	ga_ls8c_ard_3-2-1_100084_2024-02-03_final
2024-02-05 10:07:02	ga_ls8c_ard_3-2-1_098077_2024-02-05_final
2024-02-07 11:35:58	ga_ls8c_ard_3-2-1_112083_2024-02-07_final
2024-02-13 10:55:16	ga_ls8c_ard_3-2-1_106074_2024-02-13_final
2024-02-15 10:46:05	ga_ls8c_ard_3-2-1_104082_2024-02-15_final
2024-02-16 09:52:27	ga_ls8c_ard_3-2-1_095087_2024-02-16_final
2024-02-22 09:14:34	ga_ls8c_ard_3-2-1_089085_2024-02-21_final
2024-02-27 11:08:21	ga_ls8c_ard_3-2-1_108076_2024-02-27_final
2024-02-28 11:52:24	ga_ls8c_ard_3-2-1_115078_2024-02-28_final
2024-03-02 10:43:59	ga_ls8c_ard_3-2-1_104077_2024-03-02_final
2024-03-05 11:12:02	ga_ls8c_ard_3-2-1_109070_2024-03-05_final
2024-03-06 10:18:47	ga_ls8c_ard_3-2-1_100076_2024-03-06_final
2024-03-06 10:21:10	ga_ls8c_ard_3-2-1_100082_2024-03-06_final
2024-03-14 09:34:05	ga_ls8c_ard_3-2-1_092088_2024-03-14_final
2024-03-15 11:51:02	ga_ls8c_ard_3-2-1_115075_2024-03-15_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-17 11:42:14	ga_ls8c_ard_3-2-1_113084_2024-03-17_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-03 10:45:38	ga_ls8c_ard_3-2-1_104082_2024-04-03_final
2024-04-05 10:28:05	ga_ls8c_ard_3-2-1_102069_2024-04-05_final
2024-04-08 09:27:16	ga_ls8c_ard_3-2-1_091087_2024-04-07_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