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
2016-11-20 10:09:04	ga_ls8c_ard_3-2-1_099066_2016-11-20_final
2020-02-01 10:08:49	ga_ls8c_ard_3-2-1_099066_2020-02-01_final
2022-05-29 10:08:40	ga_ls8c_ard_3-2-1_099066_2022-05-29_final
2022-07-25 10:10:05	ga_ls8c_ard_3-2-1_098084_2022-07-25_final
2022-07-29 11:24:17	ga_ls8c_ard_3-2-1_110084_2022-07-29_final
2022-08-01 10:14:20	ga_ls8c_ard_3-2-1_099079_2022-08-01_final
2022-08-03 11:42:53	ga_ls8c_ard_3-2-1_113084_2022-08-03_final
2022-08-07 11:12:12	ga_ls8c_ard_3-2-1_109069_2022-08-07_final
2022-08-09 09:28:10	ga_ls8c_ard_3-2-1_091087_2022-08-08_final
2022-08-10 10:05:02	ga_ls8c_ard_3-2-1_098071_2022-08-10_final
2022-08-22 10:28:36	ga_ls8c_ard_3-2-1_102068_2022-08-22_final
2022-09-02 10:14:27	ga_ls8c_ard_3-2-1_099079_2022-09-02_final
2022-09-11 10:04:21	ga_ls8c_ard_3-2-1_098069_2022-09-11_final
2022-09-25 10:20:45	ga_ls8c_ard_3-2-1_100079_2022-09-25_final
2022-09-27 10:05:12	ga_ls8c_ard_3-2-1_098071_2022-09-27_final
2022-09-30 10:34:53	ga_ls8c_ard_3-2-1_103068_2022-09-30_final
2022-10-17 09:40:22	ga_ls8c_ard_3-2-1_094071_2022-10-17_final
2022-10-24 11:26:18	ga_ls8c_ard_3-2-1_111073_2022-10-24_final
2022-10-29 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-10-29_final
2022-10-30 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-10-30_final
2022-11-02 09:44:52	ga_ls8c_ard_3-2-1_094082_2022-11-02_final
2022-11-13 09:23:03	ga_ls8c_ard_3-2-1_091074_2022-11-12_final
2022-11-14 11:47:59	ga_ls8c_ard_3-2-1_114081_2022-11-14_final
2022-11-21 11:53:20	ga_ls8c_ard_3-2-1_115079_2022-11-21_final
2022-11-27 09:34:12	ga_ls8c_ard_3-2-1_093071_2022-11-27_final
2022-12-01 10:47:10	ga_ls8c_ard_3-2-1_105068_2022-12-01_final
2022-12-07 10:10:05	ga_ls8c_ard_3-2-1_099068_2022-12-07_final
2022-12-12 10:33:46	ga_ls8c_ard_3-2-1_102081_2022-12-12_final
2022-12-13 09:40:56	ga_ls8c_ard_3-2-1_093088_2022-12-13_final
2023-01-03 09:52:36	ga_ls8c_ard_3-2-1_096071_2023-01-03_final
2023-01-11 10:40:48	ga_ls8c_ard_3-2-1_104068_2023-01-11_final
2023-01-16 11:00:28	ga_ls8c_ard_3-2-1_107071_2023-01-16_final
2023-01-21 11:20:14	ga_ls8c_ard_3-2-1_110074_2023-01-21_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-02-18 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-02-18_final
2023-02-24 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-02-24_final
2023-03-19 11:14:26	ga_ls8c_ard_3-2-1_109076_2023-03-19_final
2023-03-23 09:15:57	ga_ls8c_ard_3-2-1_089089_2023-03-22_final
2023-03-23 10:47:15	ga_ls8c_ard_3-2-1_105070_2023-03-23_final
2023-03-28 09:33:40	ga_ls8c_ard_3-2-1_092087_2023-03-28_final
2023-04-08 10:49:26	ga_ls8c_ard_3-2-1_105076_2023-04-08_final
2023-05-07 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-05-07_final
2023-05-08 09:27:51	ga_ls8c_ard_3-2-1_091089_2023-05-07_final
2023-05-22 11:17:00	ga_ls8c_ard_3-2-1_109084_2023-05-22_final
2023-06-05 11:25:03	ga_ls8c_ard_3-2-1_111073_2023-06-05_final
2023-06-09 09:27:05	ga_ls8c_ard_3-2-1_091087_2023-06-08_final
2023-06-10 10:06:45	ga_ls8c_ard_3-2-1_098078_2023-06-10_final
2023-06-10 10:09:09	ga_ls8c_ard_3-2-1_098084_2023-06-10_final
2023-06-19 09:57:02	ga_ls8c_ard_3-2-1_097069_2023-06-19_final
2023-06-19 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-06-19_final
2023-06-20 09:06:36	ga_ls8c_ard_3-2-1_088082_2023-06-19_final
2023-06-23 11:14:00	ga_ls8c_ard_3-2-1_109076_2023-06-23_final
2023-06-26 10:03:17	ga_ls8c_ard_3-2-1_098069_2023-06-26_final
2023-06-27 09:10:04	ga_ls8c_ard_3-2-1_089075_2023-06-26_final
2023-06-27 09:14:27	ga_ls8c_ard_3-2-1_089086_2023-06-26_final
2023-07-05 09:57:37	ga_ls8c_ard_3-2-1_097070_2023-07-05_final
2023-07-07 11:29:21	ga_ls8c_ard_3-2-1_111083_2023-07-07_final
2023-07-12 10:09:26	ga_ls8c_ard_3-2-1_098084_2023-07-12_final
2023-07-14 11:34:22	ga_ls8c_ard_3-2-1_112080_2023-07-14_final
2023-07-18 11:05:39	ga_ls8c_ard_3-2-1_108070_2023-07-18_final
2023-07-19 10:10:02	ga_ls8c_ard_3-2-1_099070_2023-07-19_final
2023-07-22 09:06:51	ga_ls8c_ard_3-2-1_088082_2023-07-21_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-08-04 10:13:46	ga_ls8c_ard_3-2-1_099079_2023-08-04_final
2023-08-05 10:55:26	ga_ls8c_ard_3-2-1_106075_2023-08-05_final
2023-08-06 11:42:18	ga_ls8c_ard_3-2-1_113084_2023-08-06_final
2023-08-14 09:12:01	ga_ls8c_ard_3-2-1_089079_2023-08-13_final
2023-08-23 10:42:25	ga_ls8c_ard_3-2-1_104073_2023-08-23_final
2023-08-30 09:16:30	ga_ls8c_ard_3-2-1_089090_2023-08-29_final
2023-09-05 10:13:53	ga_ls8c_ard_3-2-1_099079_2023-09-05_final
2023-09-08 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-09-07_final
2023-09-14 11:46:40	ga_ls8c_ard_3-2-1_114079_2023-09-14_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-10-06 11:06:04	ga_ls8c_ard_3-2-1_108070_2023-10-06_final
2023-10-10 09:06:29	ga_ls8c_ard_3-2-1_088080_2023-10-09_final
2023-10-10 09:06:53	ga_ls8c_ard_3-2-1_088081_2023-10-09_final
2023-10-26 09:06:32	ga_ls8c_ard_3-2-1_088080_2023-10-25_final
2023-10-31 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-10-30_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-11 09:07:40	ga_ls8c_ard_3-2-1_088083_2023-11-10_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2023-12-04 09:14:39	ga_ls8c_ard_3-2-1_089085_2023-12-03_final
2023-12-04 10:46:45	ga_ls8c_ard_3-2-1_105068_2023-12-04_final
2023-12-20 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-12-20_final
2024-01-03 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-01-03_final
2024-01-07 10:34:44	ga_ls8c_ard_3-2-1_103069_2024-01-07_final
2024-01-11 11:51:20	ga_ls8c_ard_3-2-1_115075_2024-01-11_final
2024-01-12 09:20:49	ga_ls8c_ard_3-2-1_090085_2024-01-11_final
2024-01-16 10:28:36	ga_ls8c_ard_3-2-1_102069_2024-01-16_final
2024-01-22 11:31:56	ga_ls8c_ard_3-2-1_112073_2024-01-22_final
2024-02-02 11:13:48	ga_ls8c_ard_3-2-1_109074_2024-02-02_final
2024-02-03 10:20:11	ga_ls8c_ard_3-2-1_100079_2024-02-03_final
2024-02-11 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-02-11_final
2024-02-12 11:52:54	ga_ls8c_ard_3-2-1_115079_2024-02-12_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-28 10:13:55	ga_ls8c_ard_3-2-1_099079_2024-02-28_final
2024-02-29 10:53:58	ga_ls8c_ard_3-2-1_106071_2024-02-29_final
2024-03-11 10:39:17	ga_ls8c_ard_3-2-1_103081_2024-03-11_final
2024-03-24 10:09:49	ga_ls8c_ard_3-2-1_098085_2024-03-24_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