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
2022-05-30 09:23:03	ga_ls8c_ard_3-2-1_090091_2022-05-29_final
2022-11-12 11:57:58	ga_ls8c_ard_3-2-1_116075_2022-11-12_final
2023-01-05 09:43:26	ga_ls8c_ard_3-2-1_094079_2023-01-05_final
2023-01-13 10:32:24	ga_ls8c_ard_3-2-1_102078_2023-01-13_final
2023-01-19 11:35:45	ga_ls8c_ard_3-2-1_112082_2023-01-19_final
2023-01-22 10:26:37	ga_ls8c_ard_3-2-1_101079_2023-01-22_final
2023-01-25 10:57:09	ga_ls8c_ard_3-2-1_106078_2023-01-25_final
2023-01-31 10:21:41	ga_ls8c_ard_3-2-1_100082_2023-01-31_final
2023-02-08 11:10:42	ga_ls8c_ard_3-2-1_108081_2023-02-08_final
2023-02-11 11:42:45	ga_ls8c_ard_3-2-1_113084_2023-02-11_final
2023-02-17 11:04:00	ga_ls8c_ard_3-2-1_107080_2023-02-17_final
2023-02-24 09:32:20	ga_ls8c_ard_3-2-1_092083_2023-02-24_final
2023-03-09 10:38:13	ga_ls8c_ard_3-2-1_103078_2023-03-09_final
2023-03-11 10:27:03	ga_ls8c_ard_3-2-1_101081_2023-03-11_final
2023-03-24 09:56:48	ga_ls8c_ard_3-2-1_096083_2023-03-24_final
2023-04-08 10:48:14	ga_ls8c_ard_3-2-1_105073_2023-04-08_final
2023-04-12 10:24:38	ga_ls8c_ard_3-2-1_101076_2023-04-12_final
2023-04-27 09:43:43	ga_ls8c_ard_3-2-1_094082_2023-04-27_final
2023-05-05 10:29:05	ga_ls8c_ard_3-2-1_102072_2023-05-05_final
2023-05-07 10:20:17	ga_ls8c_ard_3-2-1_100081_2023-05-07_final
2023-05-13 09:43:06	ga_ls8c_ard_3-2-1_094081_2023-05-13_final
2023-05-15 11:05:37	ga_ls8c_ard_3-2-1_108071_2023-05-15_final
2023-05-16 10:11:35	ga_ls8c_ard_3-2-1_099075_2023-05-16_final
2023-05-20 11:26:57	ga_ls8c_ard_3-2-1_111078_2023-05-20_final
2023-05-24 11:03:52	ga_ls8c_ard_3-2-1_107082_2023-05-24_final
2023-05-26 10:46:43	ga_ls8c_ard_3-2-1_105070_2023-05-26_final
2023-05-29 09:43:55	ga_ls8c_ard_3-2-1_094083_2023-05-29_final
2023-06-08 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-06-08_final
2023-06-08 11:57:11	ga_ls8c_ard_3-2-1_116076_2023-06-08_final
2023-06-11 10:47:38	ga_ls8c_ard_3-2-1_105072_2023-06-11_final
2023-06-17 10:14:35	ga_ls8c_ard_3-2-1_099082_2023-06-17_final
2023-06-19 09:57:50	ga_ls8c_ard_3-2-1_097071_2023-06-19_final
2023-06-23 11:12:00	ga_ls8c_ard_3-2-1_109071_2023-06-23_final
2023-06-24 10:17:12	ga_ls8c_ard_3-2-1_100073_2023-06-24_final
2023-07-12 10:08:14	ga_ls8c_ard_3-2-1_098081_2023-07-12_final
2023-07-20 09:18:47	ga_ls8c_ard_3-2-1_090081_2023-07-19_final
2023-07-20 09:19:35	ga_ls8c_ard_3-2-1_090083_2023-07-19_final
2023-07-31 10:36:05	ga_ls8c_ard_3-2-1_103073_2023-07-31_final
2023-08-05 10:54:15	ga_ls8c_ard_3-2-1_106072_2023-08-05_final
2023-08-08 11:23:33	ga_ls8c_ard_3-2-1_111068_2023-08-08_final
2023-08-10 09:33:30	ga_ls8c_ard_3-2-1_093071_2023-08-10_final
2023-08-10 11:16:46	ga_ls8c_ard_3-2-1_109082_2023-08-10_final
2023-08-13 10:06:02	ga_ls8c_ard_3-2-1_098075_2023-08-13_final
2023-08-21 09:18:16	ga_ls8c_ard_3-2-1_090079_2023-08-20_final
2023-08-22 10:03:08	ga_ls8c_ard_3-2-1_097083_2023-08-22_final
2023-08-25 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-08-25_final
2023-08-25 10:31:15	ga_ls8c_ard_3-2-1_102076_2023-08-25_final
2023-08-29 11:46:37	ga_ls8c_ard_3-2-1_114079_2023-08-29_final
2023-09-02 11:21:53	ga_ls8c_ard_3-2-1_110079_2023-09-02_final
2023-09-03 10:24:16	ga_ls8c_ard_3-2-1_101074_2023-09-03_final
2023-09-06 09:19:03	ga_ls8c_ard_3-2-1_090081_2023-09-05_final
2023-09-07 11:40:00	ga_ls8c_ard_3-2-1_113078_2023-09-07_final
2023-09-10 10:30:28	ga_ls8c_ard_3-2-1_102074_2023-09-10_final
2023-09-11 09:38:27	ga_ls8c_ard_3-2-1_093083_2023-09-11_final
2023-09-15 10:51:03	ga_ls8c_ard_3-2-1_105079_2023-09-15_final
2023-09-23 11:40:55	ga_ls8c_ard_3-2-1_113080_2023-09-23_final
2023-09-29 09:24:36	ga_ls8c_ard_3-2-1_091079_2023-09-28_final
2023-10-05 10:24:24	ga_ls8c_ard_3-2-1_101074_2023-10-05_final
2023-10-09 11:42:35	ga_ls8c_ard_3-2-1_113084_2023-10-09_final
2023-10-22 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-10-22_final
2023-10-24 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-10-23_final
2023-10-28 10:29:53	ga_ls8c_ard_3-2-1_102072_2023-10-28_final
2023-11-03 11:32:52	ga_ls8c_ard_3-2-1_112075_2023-11-03_final
2023-11-04 10:36:27	ga_ls8c_ard_3-2-1_103073_2023-11-04_final
2023-11-07 11:08:31	ga_ls8c_ard_3-2-1_108076_2023-11-07_final
2023-11-09 10:57:19	ga_ls8c_ard_3-2-1_106079_2023-11-09_final
2023-11-11 10:44:33	ga_ls8c_ard_3-2-1_104078_2023-11-11_final
2023-11-12 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-11-12_final
2023-11-14 11:16:42	ga_ls8c_ard_3-2-1_109081_2023-11-14_final
2023-11-15 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-11-15_final
2023-11-18 10:48:26	ga_ls8c_ard_3-2-1_105072_2023-11-18_final
2023-11-19 11:32:06	ga_ls8c_ard_3-2-1_112073_2023-11-19_final
2023-11-19 11:33:18	ga_ls8c_ard_3-2-1_112076_2023-11-19_final
2023-11-24 10:14:58	ga_ls8c_ard_3-2-1_099081_2023-11-24_final
2023-12-01 10:18:42	ga_ls8c_ard_3-2-1_100075_2023-12-01_final
2023-12-01 10:21:06	ga_ls8c_ard_3-2-1_100081_2023-12-01_final
2023-12-07 09:43:54	ga_ls8c_ard_3-2-1_094081_2023-12-07_final
2023-12-07 09:45:54	ga_ls8c_ard_3-2-1_094086_2023-12-07_final
2023-12-09 09:29:58	ga_ls8c_ard_3-2-1_092077_2023-12-08_final
2023-12-16 11:12:20	ga_ls8c_ard_3-2-1_109070_2023-12-16_final
2023-12-20 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-12-19_final
2023-12-21 09:52:24	ga_ls8c_ard_3-2-1_096071_2023-12-21_final
2023-12-23 09:43:14	ga_ls8c_ard_3-2-1_094079_2023-12-23_final
2024-01-04 11:46:42	ga_ls8c_ard_3-2-1_114079_2024-01-04_final
2024-01-08 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-01-08_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-17 09:37:45	ga_ls8c_ard_3-2-1_093081_2024-01-17_final
2024-01-18 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-18_final
2024-01-28 09:19:06	ga_ls8c_ard_3-2-1_090081_2024-01-27_final
2024-01-31 09:48:27	ga_ls8c_ard_3-2-1_095077_2024-01-31_final
2024-02-04 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-02-03_final
2024-02-05 10:05:26	ga_ls8c_ard_3-2-1_098073_2024-02-05_final
2024-02-07 09:56:17	ga_ls8c_ard_3-2-1_096081_2024-02-07_final
2024-02-08 10:39:08	ga_ls8c_ard_3-2-1_103080_2024-02-08_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-13 10:56:52	ga_ls8c_ard_3-2-1_106078_2024-02-13_final
2024-02-20 11:03:25	ga_ls8c_ard_3-2-1_107079_2024-02-20_final
2024-02-22 10:50:15	ga_ls8c_ard_3-2-1_105077_2024-02-22_final
2024-02-25 09:45:03	ga_ls8c_ard_3-2-1_094084_2024-02-25_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_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