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
2014-01-18 09:07:53	ga_ls8c_ard_3-1-0_088081_2014-01-17_final
2014-12-07 11:14:16	ga_ls8c_ard_3-1-0_109075_2014-12-07_final
2016-02-25 09:06:38	ga_ls8c_ard_3-1-0_088081_2016-02-24_final
2016-03-11 09:57:50	ga_ls8c_ard_3-1-0_097070_2016-03-11_final
2017-05-02 09:06:00	ga_ls8c_ard_3-1-0_088081_2017-05-01_final
2017-09-23 09:06:55	ga_ls8c_ard_3-1-0_088081_2017-09-22_final
2017-11-16 10:04:47	ga_ls8c_ard_3-1-0_098071_2017-11-16_final
2018-11-29 09:06:39	ga_ls8c_ard_3-1-0_088081_2018-11-28_final
2019-03-26 10:59:20	ga_ls8c_ard_3-1-0_107070_2019-03-26_final
2019-04-16 09:40:29	ga_ls8c_ard_3-1-0_094074_2019-04-16_final
2019-06-14 09:22:18	ga_ls8c_ard_3-1-0_091074_2019-06-13_final
2019-06-16 09:12:45	ga_ls8c_ard_3-1-0_089081_2019-06-15_final
2019-06-16 09:14:44	ga_ls8c_ard_3-1-0_089086_2019-06-15_final
2019-06-20 10:25:20	ga_ls8c_ard_3-1-0_101077_2019-06-20_final
2019-06-30 09:22:47	ga_ls8c_ard_3-1-0_091075_2019-06-29_final
2019-07-09 10:52:43	ga_ls8c_ard_3-1-0_106068_2019-07-09_final
2019-08-02 10:09:47	ga_ls8c_ard_3-1-0_098084_2019-08-02_final
2019-08-18 10:08:17	ga_ls8c_ard_3-1-0_098080_2019-08-18_final
2019-08-20 11:31:37	ga_ls8c_ard_3-1-0_112072_2019-08-20_final
2019-08-21 10:39:36	ga_ls8c_ard_3-1-0_103081_2019-08-21_final
2019-08-24 09:33:37	ga_ls8c_ard_3-1-0_092086_2019-08-24_final
2019-08-31 09:34:38	ga_ls8c_ard_3-1-0_093073_2019-08-31_final
2019-09-09 09:34:05	ga_ls8c_ard_3-1-0_092087_2019-09-09_final
2019-09-20 10:50:06	ga_ls8c_ard_3-1-0_105076_2019-09-20_final
2019-09-21 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-09-21_final
2019-09-29 09:07:05	ga_ls8c_ard_3-1-0_088081_2019-09-28_final
2019-10-05 11:42:12	ga_ls8c_ard_3-1-0_114067_2019-10-05_final
2019-10-11 09:29:03	ga_ls8c_ard_3-1-0_092074_2019-10-10_final
2019-10-14 09:57:57	ga_ls8c_ard_3-1-0_097069_2019-10-14_final
2019-10-15 09:06:43	ga_ls8c_ard_3-1-0_088080_2019-10-14_final
2019-10-20 11:03:45	ga_ls8c_ard_3-1-0_107079_2019-10-20_final
2019-10-22 10:49:48	ga_ls8c_ard_3-1-0_105075_2019-10-22_final
2019-11-03 09:34:50	ga_ls8c_ard_3-1-0_093073_2019-11-03_final
2019-11-17 09:52:44	ga_ls8c_ard_3-1-0_095087_2019-11-17_final
2019-12-02 09:07:03	ga_ls8c_ard_3-1-0_088081_2019-12-01_final
2019-12-02 10:40:45	ga_ls8c_ard_3-1-0_104068_2019-12-02_final
2019-12-25 09:14:46	ga_ls8c_ard_3-1-0_089085_2019-12-24_final
2019-12-26 09:50:50	ga_ls8c_ard_3-1-0_096067_2019-12-26_final
2019-12-26 09:52:26	ga_ls8c_ard_3-1-0_096071_2019-12-26_final
2019-12-30 09:29:17	ga_ls8c_ard_3-1-0_092075_2019-12-29_final
2020-01-08 11:05:09	ga_ls8c_ard_3-1-0_107083_2020-01-08_final
2020-01-09 10:07:32	ga_ls8c_ard_3-1-0_098078_2020-01-09_final
2020-01-13 11:20:05	ga_ls8c_ard_3-1-0_110074_2020-01-13_final
2020-01-17 09:16:52	ga_ls8c_ard_3-1-0_090075_2020-01-16_final
2020-01-17 09:20:04	ga_ls8c_ard_3-1-0_090083_2020-01-16_final
2020-01-17 10:55:45	ga_ls8c_ard_3-1-0_106075_2020-01-17_final
2020-01-29 09:41:32	ga_ls8c_ard_3-1-0_094075_2020-01-29_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-02-01 10:13:36	ga_ls8c_ard_3-1-0_099078_2020-02-01_final
2020-02-09 09:27:43	ga_ls8c_ard_3-1-0_091087_2020-02-08_final
2020-02-17 10:09:33	ga_ls8c_ard_3-1-0_099068_2020-02-17_final
2020-02-20 09:07:33	ga_ls8c_ard_3-1-0_088083_2020-02-19_final
2020-02-27 09:13:17	ga_ls8c_ard_3-1-0_089082_2020-02-26_final
2020-04-06 10:52:51	ga_ls8c_ard_3-1-0_106069_2020-04-06_final
2020-04-11 09:34:04	ga_ls8c_ard_3-1-0_093073_2020-04-11_final
2020-04-23 09:56:42	ga_ls8c_ard_3-1-0_097068_2020-04-23_final
2020-04-24 09:06:40	ga_ls8c_ard_3-1-0_088082_2020-04-23_final
2020-04-25 11:25:36	ga_ls8c_ard_3-1-0_111074_2020-04-25_final
2021-04-04 10:34:01	ga_ls8c_ard_3-2-0_103068_2021-04-04_final
2021-04-05 11:18:04	ga_ls8c_ard_3-2-0_110070_2021-04-05_final
2021-04-16 09:28:33	ga_ls8c_ard_3-2-0_091090_2021-04-15_final
2021-04-17 10:09:25	ga_ls8c_ard_3-2-0_098084_2021-04-17_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-05-05 11:30:58	ga_ls8c_ard_3-2-0_112072_2021-05-05_final
2021-05-16 11:14:07	ga_ls8c_ard_3-2-0_109076_2021-05-16_final
2021-05-26 10:13:37	ga_ls8c_ard_3-2-0_099079_2021-05-26_final
2021-05-27 09:21:11	ga_ls8c_ard_3-2-0_090087_2021-05-26_final
2021-06-03 09:27:26	ga_ls8c_ard_3-2-0_091087_2021-06-02_final
2021-06-12 09:20:31	ga_ls8c_ard_3-2-0_090085_2021-06-11_final
2021-06-28 10:52:41	ga_ls8c_ard_3-2-0_106068_2021-06-28_final
2021-07-02 10:27:58	ga_ls8c_ard_3-2-0_102068_2021-07-02_final
2021-07-03 09:39:32	ga_ls8c_ard_3-2-0_093086_2021-07-03_final
2021-07-10 11:23:00	ga_ls8c_ard_3-2-0_110082_2021-07-10_final
2021-07-12 11:10:15	ga_ls8c_ard_3-2-0_108081_2021-07-12_final
2021-07-13 11:52:19	ga_ls8c_ard_3-2-0_115078_2021-07-13_final
2021-07-29 11:52:26	ga_ls8c_ard_3-2-0_115078_2021-07-29_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-08-02 11:24:57	ga_ls8c_ard_3-2-0_111071_2021-08-02_final
2021-08-04 09:40:06	ga_ls8c_ard_3-2-0_093087_2021-08-04_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-08-13 09:28:48	ga_ls8c_ard_3-2-0_092074_2021-08-12_final
2021-08-23 10:03:32	ga_ls8c_ard_3-2-0_098068_2021-08-23_final
2021-08-23 10:07:31	ga_ls8c_ard_3-2-0_098078_2021-08-23_final
2021-08-23 10:09:55	ga_ls8c_ard_3-2-0_098084_2021-08-23_final
2021-08-24 09:11:30	ga_ls8c_ard_3-2-0_089077_2021-08-23_final
2021-08-27 11:18:30	ga_ls8c_ard_3-2-0_110070_2021-08-27_final
2021-09-10 11:32:32	ga_ls8c_ard_3-2-0_112074_2021-09-10_final
2021-09-26 11:30:59	ga_ls8c_ard_3-2-0_112070_2021-09-26_final
2021-09-30 09:29:01	ga_ls8c_ard_3-2-0_092074_2021-09-29_final
2021-10-09 09:23:17	ga_ls8c_ard_3-2-0_091075_2021-10-08_final
2021-11-06 09:44:49	ga_ls8c_ard_3-2-0_095067_2021-11-06_final
2022-04-21 10:49:37	ga_ls8c_ard_3-2-1_105076_2022-04-21_final
2022-04-24 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-24_final
2022-04-30 09:06:54	ga_ls8c_ard_3-2-1_088082_2022-04-29_final
2022-05-01 11:25:28	ga_ls8c_ard_3-2-1_111073_2022-05-01_final
2022-05-03 09:34:15	ga_ls8c_ard_3-2-1_093073_2022-05-03_final
2022-05-24 11:36:12	ga_ls8c_ard_3-2-1_112084_2022-05-24_final
2022-06-02 09:46:01	ga_ls8c_ard_3-2-1_095071_2022-06-02_final
2022-06-16 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-06-16_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