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
2018-11-26 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-26_final
2020-11-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2020-11-16_final
2021-02-19 10:08:47	ga_ls8c_ard_3-2-1_099066_2021-02-19_final
2022-01-22 09:23:16	ga_ls8c_ard_3-2-1_090091_2022-01-21_final
2023-01-08 11:52:48	ga_ls8c_ard_3-2-1_115078_2023-01-08_final
2023-01-08 11:53:12	ga_ls8c_ard_3-2-1_115079_2023-01-08_final
2023-01-19 09:53:16	ga_ls8c_ard_3-2-1_096073_2023-01-19_final
2023-01-24 10:09:29	ga_ls8c_ard_3-2-1_099067_2023-01-24_final
2023-01-30 11:13:42	ga_ls8c_ard_3-2-1_109073_2023-01-30_final
2023-01-31 10:17:17	ga_ls8c_ard_3-2-1_100071_2023-01-31_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-03-06 10:02:58	ga_ls8c_ard_3-2-1_098067_2023-03-06_final
2023-03-14 09:21:27	ga_ls8c_ard_3-2-1_090087_2023-03-13_final
2023-03-18 10:28:00	ga_ls8c_ard_3-2-1_102068_2023-03-18_final
2023-03-20 10:18:48	ga_ls8c_ard_3-2-1_100076_2023-03-20_final
2023-03-20 10:20:48	ga_ls8c_ard_3-2-1_100081_2023-03-20_final
2023-03-21 11:04:50	ga_ls8c_ard_3-2-1_107083_2023-03-21_final
2023-03-23 09:12:22	ga_ls8c_ard_3-2-1_089080_2023-03-22_final
2023-03-28 09:28:29	ga_ls8c_ard_3-2-1_092074_2023-03-27_final
2023-03-30 09:17:18	ga_ls8c_ard_3-2-1_090077_2023-03-29_final
2023-04-24 09:12:26	ga_ls8c_ard_3-2-1_089081_2023-04-23_final
2023-04-24 09:16:01	ga_ls8c_ard_3-2-1_089090_2023-04-23_final
2023-04-28 10:24:59	ga_ls8c_ard_3-2-1_101077_2023-04-28_final
2023-04-29 09:34:08	ga_ls8c_ard_3-2-1_092089_2023-04-29_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-05-01 09:16:34	ga_ls8c_ard_3-2-1_090076_2023-04-30_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-04 09:51:26	ga_ls8c_ard_3-2-1_095086_2023-05-04_final
2023-05-07 11:57:35	ga_ls8c_ard_3-2-1_116077_2023-05-07_final
2023-05-09 10:03:06	ga_ls8c_ard_3-2-1_098069_2023-05-09_final
2023-05-09 10:09:05	ga_ls8c_ard_3-2-1_098084_2023-05-09_final
2023-05-10 09:09:27	ga_ls8c_ard_3-2-1_089074_2023-05-09_final
2023-05-17 09:21:33	ga_ls8c_ard_3-2-1_090089_2023-05-16_final
2023-05-20 11:23:46	ga_ls8c_ard_3-2-1_111070_2023-05-20_final
2023-05-25 10:03:27	ga_ls8c_ard_3-2-1_098070_2023-05-25_final
2023-05-30 10:24:47	ga_ls8c_ard_3-2-1_101077_2023-05-30_final
2023-06-02 10:52:06	ga_ls8c_ard_3-2-1_106068_2023-06-02_final
2023-06-16 09:33:19	ga_ls8c_ard_3-2-1_092087_2023-06-16_final
2023-06-18 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-06-17_final
2023-06-21 11:25:09	ga_ls8c_ard_3-2-1_111073_2023-06-21_final
2023-07-01 10:27:05	ga_ls8c_ard_3-2-1_101082_2023-07-01_final
2023-07-02 11:05:34	ga_ls8c_ard_3-2-1_108070_2023-07-02_final
2023-07-19 11:52:06	ga_ls8c_ard_3-2-1_115078_2023-07-19_final
2023-07-27 11:04:45	ga_ls8c_ard_3-2-1_107083_2023-07-27_final
2023-07-29 09:11:56	ga_ls8c_ard_3-2-1_089079_2023-07-28_final
2023-08-04 10:13:46	ga_ls8c_ard_3-2-1_099079_2023-08-04_final
2023-08-20 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-08-20_final
2023-08-20 11:52:22	ga_ls8c_ard_3-2-1_115078_2023-08-20_final
2023-08-22 09:57:33	ga_ls8c_ard_3-2-1_097069_2023-08-22_final
2023-09-07 09:57:56	ga_ls8c_ard_3-2-1_097070_2023-09-07_final
2023-09-08 10:42:24	ga_ls8c_ard_3-2-1_104073_2023-09-08_final
2023-09-09 11:25:41	ga_ls8c_ard_3-2-1_111073_2023-09-09_final
2023-09-14 10:03:48	ga_ls8c_ard_3-2-1_098069_2023-09-14_final
2023-09-17 10:35:55	ga_ls8c_ard_3-2-1_103072_2023-09-17_final
2023-09-21 10:13:59	ga_ls8c_ard_3-2-1_099079_2023-09-21_final
2023-09-28 10:19:01	ga_ls8c_ard_3-2-1_100076_2023-09-28_final
2023-10-07 10:14:03	ga_ls8c_ard_3-2-1_099079_2023-10-07_final
2023-10-10 10:42:35	ga_ls8c_ard_3-2-1_104073_2023-10-10_final
2023-10-15 09:27:26	ga_ls8c_ard_3-2-1_091086_2023-10-14_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-11-01 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-11-01_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-08 10:11:17	ga_ls8c_ard_3-2-1_099072_2023-11-08_final
2023-11-08 11:52:33	ga_ls8c_ard_3-2-1_115078_2023-11-08_final
2023-11-12 09:46:33	ga_ls8c_ard_3-2-1_095072_2023-11-12_final
2023-11-30 09:34:39	ga_ls8c_ard_3-2-1_093073_2023-11-30_final
2023-12-03 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-12-03_final
2023-12-04 09:13:51	ga_ls8c_ard_3-2-1_089083_2023-12-03_final
2023-12-05 11:36:23	ga_ls8c_ard_3-2-1_112084_2023-12-05_final
2023-12-09 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-12-08_final
2023-12-13 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-12_final
2023-12-26 10:09:20	ga_ls8c_ard_3-2-1_099067_2023-12-26_final
2023-12-30 09:52:33	ga_ls8c_ard_3-2-1_095087_2023-12-30_final
2023-12-31 10:33:24	ga_ls8c_ard_3-2-1_102081_2023-12-31_final
2024-01-12 09:20:49	ga_ls8c_ard_3-2-1_090085_2024-01-11_final
2024-01-17 11:13:51	ga_ls8c_ard_3-2-1_109074_2024-01-17_final
2024-01-19 09:24:11	ga_ls8c_ard_3-2-1_091078_2024-01-18_final
2024-01-20 10:07:26	ga_ls8c_ard_3-2-1_098078_2024-01-20_final
2024-01-23 10:36:42	ga_ls8c_ard_3-2-1_103074_2024-01-23_final
2024-01-26 09:34:39	ga_ls8c_ard_3-2-1_092089_2024-01-26_final
2024-01-26 11:05:57	ga_ls8c_ard_3-2-1_108070_2024-01-26_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-01-28 09:19:30	ga_ls8c_ard_3-2-1_090082_2024-01-27_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-05 10:10:14	ga_ls8c_ard_3-2-1_098085_2024-02-05_final
2024-02-11 11:08:03	ga_ls8c_ard_3-2-1_108075_2024-02-11_final
2024-02-12 11:52:54	ga_ls8c_ard_3-2-1_115079_2024-02-12_final
2024-02-13 09:21:35	ga_ls8c_ard_3-2-1_090087_2024-02-12_final
2024-02-20 11:00:14	ga_ls8c_ard_3-2-1_107071_2024-02-20_final
2024-02-22 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-02-22_final
2024-02-26 10:25:30	ga_ls8c_ard_3-2-1_101077_2024-02-26_final
2024-02-28 10:09:08	ga_ls8c_ard_3-2-1_099067_2024-02-28_final
2024-02-28 10:12:19	ga_ls8c_ard_3-2-1_099075_2024-02-28_final
2024-02-28 10:12:43	ga_ls8c_ard_3-2-1_099076_2024-02-28_final
2024-03-01 11:37:37	ga_ls8c_ard_3-2-1_113072_2024-03-01_final
2024-03-05 09:33:57	ga_ls8c_ard_3-2-1_093072_2024-03-05_final
2024-03-05 11:12:50	ga_ls8c_ard_3-2-1_109072_2024-03-05_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_final
2024-03-31 11:52:25	ga_ls8c_ard_3-2-1_115079_2024-03-31_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